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other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. 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And the first issue was published in January 1998 with ISSN 1859-0128. Since then, STDJ has become the most important scientific forum of scientists from VNU-HCM as well as other universities. The magazine has undergone 20 years of development and has become a bridge for scientific exchanges, as well as enriching reference materials for the faculty, doctoral students, students of VNU-HCM in particular and other universities, institutes...\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Science and Technology Development Journal - Health Sciences (STDJ-HS) is a subjournal of Science and Technology Development Journal since 2020.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\" \"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"2. 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Các mạng lưới kết nối nội tại này cho thấy sự tương quan tách biệt với các chức năng được đo bên ngoài máy quét. Các đánh giá lo âu trước khi quét có tương quan với kết nối chức năng nội tại của nút dACC thuộc mạng lưới độ nổi bật, nhưng không có vùng nào trong mạng lưới kiểm soát hành động, trong khi hiệu suất thực hiện nhiệm vụ điều hành có tương quan với các nút đỉnh bên (lateral parietal) của mạng lưới kiểm soát hành động, nhưng không có vùng nào trong mạng lưới độ nổi bật. Những phát hiện của chúng tôi gợi ý rằng phân tích kết nối nội tại không nhiệm vụ có thể giúp làm sáng tỏ các kiến trúc thần kinh hỗ trợ các khía cạnh cơ bản của hành vi con người.\u003C\u002Fjats:p>",{"EN":768,"VI":769},"Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control","Các mạng lưới kết nối nội tại tách biệt cho việc xử lý độ nổi bật và kiểm soát hành động",{"VOID":771},"17329432",{"VOID":773},"10.1523\u002Fjneurosci.5587-06.2007","PUBLICATION","Auto Verify",[102],[101],"https:\u002F\u002Fwww.jneurosci.org\u002Flookup\u002Fdoi\u002F10.1523\u002FJNEUROSCI.5587-06.2007",[780,802,824,841,862,877,910,933],{"id":781,"sortIndex":158,"researcher":26,"roles":782,"affiliations":783,"properties":795},"e154f9f8-a08d-43b9-8657-7d454f0216e1",[],[784],{"id":785,"sortIndex":36,"affiliation":786,"properties":26},"21036b7a-7765-40e6-a4a2-34d89e951d95",{"id":787,"createTime":788,"updateTime":789,"relativeEntities":790,"slug":791,"properties":792,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"caa0e75a-4289-45c2-81e1-f555d934b988","2024-04-16T02:40:19.174+00:00","2025-02-24T08:37:18.840+00:00",[],"Stanford-University",{"title":793},{"EN":794},"Stanford University",{"openalex":796,"orcid":798,"title":800},{"VOID":797},"A5074761814",{"VOID":799},"https:\u002F\u002Forcid.org\u002F0000-0002-5462-9037",{"EN":801},"Michael D. 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major cell classes of the brain differ in their developmental processes, metabolism, signaling, and function. To better understand the functions and interactions of the cell types that comprise these classes, we acutely purified representative populations of neurons, astrocytes, oligodendrocyte precursor cells, newly formed oligodendrocytes, myelinating oligodendrocytes, microglia, endothelial cells, and pericytes from mouse cerebral cortex. We generated a transcriptome database for these eight cell types by RNA sequencing and used a sensitive algorithm to detect alternative splicing events in each cell type. Bioinformatic analyses identified thousands of new cell type-enriched genes and splicing isoforms that will provide novel markers for cell identification, tools for genetic manipulation, and insights into the biology of the brain. For example, our data provide clues as to how neurons and astrocytes differ in their ability to dynamically regulate glycolytic flux and lactate generation attributable to unique splicing of\u003Cjats:italic>PKM2\u003C\u002Fjats:italic>, the gene encoding the glycolytic enzyme pyruvate kinase. This dataset will provide a powerful new resource for understanding the development and function of the brain. To ensure the widespread distribution of these datasets, we have created a user-friendly website (\u003Cjats:ext-link xmlns:xlink=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxlink\" ext-link-type=\"uri\" xlink:href=\"http:\u002F\u002Fweb.stanford.edu\u002Fgroup\u002Fbarres_lab\u002Fbrain_rnaseq.html\" xlink:type=\"simple\">http:\u002F\u002Fweb.stanford.edu\u002Fgroup\u002Fbarres_lab\u002Fbrain_rnaseq.html\u003C\u002Fjats:ext-link>) that provides a platform for analyzing and comparing transciption and alternative splicing profiles for various cell classes in the brain.\u003C\u002Fjats:p>","\u003Cjats:p>Các lớp tế bào chính của não khác nhau về quy trình phát triển, chuyển hóa, tín hiệu và chức năng. Để hiểu rõ hơn về các chức năng và tương tác của các loại tế bào tạo thành những lớp này, chúng tôi đã tinh chế các quần thể đại diện của các tế bào neuron, tế bào astrocyte, tế bào tiền thân oligodendrocyte, oligodendrocyte mới hình thành, oligodendrocyte myelinating, microglia, tế bào nội mô và pericyte từ vỏ não chuột. Chúng tôi đã tạo ra một cơ sở dữ liệu transcriptome cho tám loại tế bào này bằng phương pháp giải trình tự RNA và sử dụng một thuật toán nhạy để phát hiện các sự kiện splicing thay thế ở mỗi loại tế bào. Phân tích tin sinh học đã xác định được hàng nghìn gen và isoform splicing mới giàu có đặc trưng cho từng loại tế bào, sẽ cung cấp các dấu ấn mới cho việc nhận diện tế bào, công cụ cho thao tác di truyền và những hiểu biết về sinh học của não. Ví dụ, dữ liệu của chúng tôi cung cấp manh mối về cách mà các tế bào neuron và astrocyte khác nhau trong khả năng điều chỉnh động học dòng glycolytic và tạo ra lactate nhờ vào sự splicing độc đáo của \u003Cjats:italic>PKM2\u003C\u002Fjats:italic>, gene mã hóa cho enzyme glycolytic pyruvate kinase. Tập dữ liệu này sẽ cung cấp một nguồn tài nguyên mạnh mẽ mới cho việc hiểu biết về sự phát triển và chức năng của não. Để đảm bảo việc phân phối rộng rãi các tập dữ liệu này, chúng tôi đã tạo ra một trang web thân thiện với người dùng (\u003Cjats:ext-link xmlns:xlink=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxlink\" ext-link-type=\"uri\" xlink:href=\"http:\u002F\u002Fweb.stanford.edu\u002Fgroup\u002Fbarres_lab\u002Fbrain_rnaseq.html\" xlink:type=\"simple\">http:\u002F\u002Fweb.stanford.edu\u002Fgroup\u002Fbarres_lab\u002Fbrain_rnaseq.html\u003C\u002Fjats:ext-link>) cung cấp một nền tảng để phân tích và so sánh hồ sơ phiên mã và splicing thay thế cho các lớp tế bào khác nhau trong não.\u003C\u002Fjats:p>",{"EN":1224,"VI":1225},"An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex","Cơ sở dữ liệu Transcriptome và Splicing của Glia, Neurons và Tế bào Mạch máu vùng Vỏ não dựa trên RNA-Sequencing",{"VOID":1227},"25186741",{"VOID":1229},"10.1523\u002Fjneurosci.1860-14.2014",[102],[101],"https:\u002F\u002Fwww.jneurosci.org\u002Flookup\u002Fdoi\u002F10.1523\u002FJNEUROSCI.1860-14.2014",[1234,1255,1282,1299,1316,1347,1366,1389,1410,1425,1440,1461,1478,1515,1542,1559,1576],{"id":1235,"sortIndex":114,"researcher":26,"roles":1236,"affiliations":1237,"properties":1248},"1d5e026e-584e-4da6-a4e4-0c9636979cbd",[],[1238],{"id":1239,"sortIndex":36,"affiliation":1240,"properties":26},"6403582f-2afe-4196-b393-2ab6fb41bf60",{"id":1241,"createTime":1242,"updateTime":1242,"relativeEntities":1243,"slug":1244,"properties":1245,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"f4805b81-a4ac-42f9-8911-0f4a70a2642b","2024-09-24T15:10:52.987+00:00",[],"1Department-of-Neurobiology-Stanford-University-School-of-Medicine-Stanford-California-94305-5125-",{"title":1246},{"EN":1247},"1Department of Neurobiology, Stanford University School of Medicine, Stanford, California 94305-5125,",{"openalex":1249,"orcid":1251,"title":1253},{"VOID":1250},"A5008594669",{"VOID":1252},"https:\u002F\u002Forcid.org\u002F0000-0001-7769-7684",{"EN":1254},"Steven A. 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2002, Astroglial contribution to brain energy metabolism in humans revealed by 13C nuclear magnetic resonance spectroscopy: elucidation of the dominant pathway for neurotransmitter glutamate repletion and measurement of astrocytic oxidative metabolism, J Neurosci, 22, 1523, 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"fullTextUrl":26,"authors":1944,"publicationType":956,"publisherRelationship":1987,"citationCount":2020,"citationInfo":2021,"publishDate":2029,"publishYear":2030,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":2031,"isForceReanalyzing":1205},"a35639c2-3f73-4f82-9ba4-8abbd6f4be61","2024-09-05T10:38:48.094+00:00","2025-01-18T05:59:24.360+00:00",[],"The-coordination-of-arm-movements-an-experimentally-confirmed-mathematical-model",{"mag":1924,"keywords":1926,"pmc":1927,"openalex":1929,"abstract":1931,"title":1934,"pm":1937,"doi":1939},{"VOID":1925},"1885639605",{"VI":759},{"VOID":1928},"6565116",{"VOID":1930},"W1885639605",{"EN":1932,"VI":1933},"\u003Cjats:p>This paper presents studies of the coordination of voluntary human arm movements. A mathematical model is formulated which is shown to predict both the qualitative features and the quantitative details observed experimentally in planar, multijoint arm movements. Coordination is modeled mathematically by defining an objective function, a measure of performance for any possible movement. The unique trajectory which yields the best performance is determined using dynamic optimization theory. In the work presented here, the objective function is the square of the magnitude of jerk (rate of change of acceleration) of the hand integrated over the entire movement. This is equivalent to assuming that a major goal of motor coordination is the production of the smoothest possible movement of the hand. Experimental observations of human subjects performing voluntary unconstrained movements in a horizontal plane are presented. They confirm the following predictions of the mathematical model: unconstrained point-to-point motions are approximately straight with bell-shaped tangential velocity profiles; curved motions (through an intermediate point or around an obstacle) have portions of low curvature joined by portions of high curvature; at points of high curvature, the tangential velocity is reduced; the durations of the low-curvature portions are approximately equal. The theoretical analysis is based solely on the kinematics of movement independent of the dynamics of the musculoskeletal system and is successful only when formulated in terms of the motion of the hand in extracorporal space. The implications with respect to movement organization are discussed.\u003C\u002Fjats:p>","\u003Cjats:p>Bài báo này trình bày các nghiên cứu về sự phối hợp của các chuyển động tay tự nguyện của con người. Một mô hình toán học được hình thành và cho thấy khả năng dự đoán cả các đặc điểm định tính và chi tiết định lượng quan sát được trong các chuyển động tay đa khớp trong mặt phẳng. Sự phối hợp được mô hình hóa toán học bằng cách định nghĩa một chức năng mục tiêu, một thước đo hiệu suất cho bất kỳ chuyển động nào có thể xảy ra. Quá trình vận động duy nhất mang lại hiệu suất tốt nhất được xác định bằng cách sử dụng lý thuyết tối ưu hóa động. Trong công trình được trình bày ở đây, chức năng mục tiêu là bình phương độ lớn của giật (tốc độ thay đổi gia tốc) của tay được tích hợp trong suốt quá trình chuyển động. Điều này tương đương với việc giả định rằng một mục tiêu chính của sự phối hợp động cơ là sản xuất các chuyển động mượt mà nhất có thể của bàn tay. Các quan sát thực nghiệm được thực hiện trên các đối tượng con người thực hiện các chuyển động tự nguyện không bị ràng buộc trong mặt phẳng ngang đã được trình bày. Chúng xác nhận các dự đoán sau đây của mô hình toán học: các chuyển động từ điểm này đến điểm khác không bị ràng buộc gần như là đường thẳng với các mẫu tốc độ tiếp tuyến hình chuông; các chuyển động cong (qua một điểm trung gian hoặc vòng quanh một chướng ngại vật) có những phần cong thấp được nối với những phần cong cao; tại các điểm cong cao, tốc độ tiếp tuyến bị giảm; thời gian của các phần cong thấp khoảng tương đương nhau. Phân tích lý thuyết hoàn toàn dựa trên động học của chuyển động độc lập với động lực của hệ cơ xương và chỉ thành công khi được xây dựng theo chuyển động của tay trong không gian ngoại bào. Các tác động liên quan đến tổ chức chuyển động cũng được thảo luận.\u003C\u002Fjats:p>",{"EN":1935,"VI":1936},"The coordination of arm movements: an experimentally confirmed mathematical model","Sự phối hợp của các chuyển động tay: một mô hình toán học được xác nhận qua thực nghiệm",{"VOID":1938},"4020415",{"VOID":1940},"10.1523\u002Fjneurosci.05-07-01688.1985",[102],[101],"https:\u002F\u002Fwww.jneurosci.org\u002Flookup\u002Fdoi\u002F10.1523\u002FJNEUROSCI.05-07-01688.1985",[1945,1966],{"id":1946,"sortIndex":36,"researcher":26,"roles":1947,"affiliations":1948,"properties":1959},"facfc5d2-e97b-4950-aab6-e0892fa91656",[],[1949],{"id":1950,"sortIndex":36,"affiliation":1951,"properties":26},"0d884c37-d329-4e8c-8a42-425fae10e3da",{"id":1952,"createTime":1953,"updateTime":1953,"relativeEntities":1954,"slug":1955,"properties":1956,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"a262b784-2bac-433d-9a43-fc2f35a5c258","2024-09-05T10:38:48.150+00:00",[],"Department-of-Psychology-and-Department-of-Mechanical-Engineering-Massachusetts-Institute-of-Technology-Cambridge-Massachusetts",{"title":1957},{"EN":1958},"Department of Psychology and $ Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts",{"openalex":1960,"orcid":1962,"title":1964},{"VOID":1961},"A5012529469",{"VOID":1963},"https:\u002F\u002Forcid.org\u002F0000-0002-5142-8942",{"EN":1965},"Tamar Flash",{"id":1967,"sortIndex":115,"researcher":26,"roles":1968,"affiliations":1969,"properties":1980},"8ad8b151-9fbc-4f0b-b221-f4ea1cf6f24c",[],[1970],{"id":1971,"sortIndex":36,"affiliation":1972,"properties":26},"eb64d47e-647e-42e3-9657-71eada326cc9",{"id":1973,"createTime":1974,"updateTime":1974,"relativeEntities":1975,"slug":1976,"properties":1977,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"b4720e3d-b092-4e32-8e5d-b53e6e40863d","2024-09-05T10:38:48.177+00:00",[],"Rehovot-76100-Israel-",{"title":1978},{"EN":1979},"Rehovot 76100, Israel.",{"openalex":1981,"orcid":1983,"title":1985},{"VOID":1982},"A5010314326",{"VOID":1984},"https:\u002F\u002Forcid.org\u002F0000-0001-5366-2145",{"EN":1986},"Neville 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novel neuropeptides called hypocretins (orexins) have recently been identified as being localized exclusively in cell bodies in a subregion of the tuberal part of the hypothalamus. The structure of the hypocretins, their accumulation in vesicles of axon terminals, and their excitatory effect on cultured hypothalamic neurons suggest that the hypocretins function in intercellular communication. To characterize these peptides further and to help understand what physiological functions they may serve, we undertook an immunohistochemical study to examine the distribution of preprohypocretin-immunoreactive neurons and fibers in the rat brain. Preprohypocretin-positive neurons were found in the perifornical nucleus and in the dorsal and lateral hypothalamic areas. These cells were distinct from those that express melanin-concentrating hormone. Although they represent a restricted group of cells, their projections were widely distributed in the brain. We observed labeled fibers throughout the hypothalamus. The densest extrahypothalamic projection was found in the locus coeruleus. Fibers were also seen in the septal nuclei, the bed nucleus of the stria terminalis, the paraventricular and reuniens nuclei of the thalamus, the zona incerta, the subthalamic nucleus, the central gray, the substantia nigra, the raphe nuclei, the parabrachial area, the medullary reticular formation, and the nucleus of the solitary tract. Less prominent projections were found in cortical regions, central and anterior amygdaloid nuclei, and the olfactory bulb. These results suggest that hypocretins are likely to have a role in physiological functions in addition to food intake such as regulation of blood pressure, the neuroendocrine system, body temperature, and the sleep–waking cycle.\u003C\u002Fjats:p>","\u003Cjats:p>Các neuropeptide mới được gọi là hypocretin (orexin) gần đây đã được xác định là chỉ được tập trung độc quyền trong các thân tế bào ở một tiểu vùng của phần tuberal của hypothalamus. Cấu trúc của các hypocretin, sự tích lũy của chúng trong các túi của các đầu tận thần kinh, và tác động kích thích của chúng lên các neuron hypothalamus nuôi cấy gợi ý rằng các hypocretin có chức năng trong giao tiếp liên tế bào. Để phân loại rõ hơn các peptide này và giúp hiểu rõ hơn về các chức năng sinh lý mà chúng có thể phục vụ, chúng tôi đã thực hiện một nghiên cứu miễn dịch mô học để kiểm tra sự phân bố của các neuron và sợi thần kinh phản ứng với preprohypocretin trong não chuột lang. Các neuron dương tính với preprohypocretin được tìm thấy ở nhân perifornical và các khu vực hypothalamus lưng và bên. Những tế bào này khác biệt với những tế bào biểu hiện hormone tập trung melanin. Mặc dù chúng đại diện cho một nhóm tế bào hạn chế, các hệ thống chiếu của chúng lại được phân bố rộng rãi trong não. Chúng tôi quan sát thấy các sợi có đánh dấu trải dài trong toàn bộ hypothalamus. Hệ thống chiếu ngoài hypothalamus dày đặc nhất được tìm thấy ở locus coeruleus. Các sợi cũng được quan sát thấy ở nhân septal, nhân giường của chất trắng cuối, nhân paraventricular và reuniens của thalamus, vùng không chắc chắn, nhân dưới thalamus, chất xám trung tâm, chất đen, nhân raphe, khu vực parabrachial, cấu trúc lưới tủy, và nhân của đường đơn độc. Các hệ thống chiếu ít nổi bật hơn được tìm thấy ở các vùng vỏ não, các nhân hạch amygdala trung tâm và trước, cũng như củ khứu giác. Những kết quả này gợi ý rằng các hypocretin có thể đóng vai trò trong các chức năng sinh lý ngoài việc tiếp nhận thức ăn như điều hòa huyết áp, hệ thống nội tiết thần kinh, nhiệt độ cơ thể, và chu kỳ giấc ngủ-thức.",{"EN":2050,"VI":2051},"Neurons Containing Hypocretin (Orexin) Project to Multiple Neuronal Systems","Các Neuron Chứa Hypocretin (Orexin) Kết Nối Với Nhiều Hệ Thần Kinh",{"VOID":2053},"9822755",{"VOID":2055},"10.1523\u002Fjneurosci.18-23-09996.1998",[102],[101],"https:\u002F\u002Fwww.jneurosci.org\u002Flookup\u002Fdoi\u002F10.1523\u002FJNEUROSCI.18-23-09996.1998",[2060,2082,2101,2118,2133,2161,2178],{"id":2061,"sortIndex":111,"researcher":26,"roles":2062,"affiliations":2063,"properties":2075},"59965807-61e8-4a63-9759-8b74301c05e0",[],[2064],{"id":2065,"sortIndex":36,"affiliation":2066,"properties":26},"930531e6-e709-40e5-b2fd-e341a0f82260",{"id":2067,"createTime":2068,"updateTime":2069,"relativeEntities":2070,"slug":2071,"properties":2072,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"b2dada8b-7de7-42e4-a989-eef444c0caa1","2024-01-10T11:04:50.099+00:00","2025-01-02T12:44:38.818+00:00",[],"Department-of-Biological-Sciences-Stanford-University-Stanford-California-94305",{"title":2073},{"VI":2074},"Department of Biological Sciences, Stanford University, Stanford, California, 94305",{"openalex":2076,"orcid":2078,"title":2080},{"VOID":2077},"A5029823821",{"VOID":2079},"https:\u002F\u002Forcid.org\u002F0000-0003-4479-5880",{"EN":2081},"H. Craig Heller",{"id":2083,"sortIndex":162,"researcher":26,"roles":2084,"affiliations":2085,"properties":2096},"c792e0ca-0ab8-40c7-bd3f-43b71967a3d1",[],[2086],{"id":2087,"sortIndex":36,"affiliation":2088,"properties":26},"7da1e7d2-06cd-4ce1-ae21-0c739dc52984",{"id":2089,"createTime":2090,"updateTime":2090,"relativeEntities":2091,"slug":2092,"properties":2093,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"41d572cd-a2a0-4886-ab4b-85ad35ac9cbf","2024-09-02T00:34:27.867+00:00",[],"Department-of-Molecular-Biology-The-Scripps-Research-Institute-La-Jolla-California-92037-and",{"title":2094},{"EN":2095},"Department of Molecular Biology, The Scripps Research Institute, La Jolla, California 92037, and",{"openalex":2097,"title":2099},{"VOID":2098},"A5105142539",{"EN":2100},"J. 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1980, Projections to the hypothalamus from buffer nerves and nucleus tractus solitarius in the cat., Am J Physiol, 239, R130",{},{"id":26,"text":2262,"url":26,"identifiers":2263},"Chiu, 1996, Improved in situ hybridization: color intensity enhancement procedure for the alkaline phosphatase\u002FFast red system., Biotechniques, 20, 964, 10.2144\u002F96206bm04",{"doi":2264},"10.2144\u002F96206bm04",{"id":26,"text":2266,"url":26,"identifiers":2267},"Corbett, 1988, Thermogenesis after lateral hypothalamic lesions: contributions of brown adipose tissue., Am J Physiol, 255, E708",{},{"id":26,"text":2269,"url":26,"identifiers":2270},"10.2466\u002Fpr0.1994.74.1.323",{"doi":2269},{"id":26,"text":2272,"url":26,"identifiers":2273},"10.1073\u002Fpnas.95.1.322",{"doi":2272},{"id":26,"text":2275,"url":26,"identifiers":2276},"10.1073\u002Fpnas.93.16.8733",{"doi":2275},{"id":26,"text":2278,"url":26,"identifiers":2279},"10.1523\u002FJNEUROSCI.18-01-00559.1998",{"doi":2278},{"id":26,"text":2281,"url":26,"identifiers":2282},"Hemingway, 1963, Shivering., Physiol Rev, 43, 397, 10.1152\u002Fphysrev.1963.43.3.397",{"doi":2283},"10.1152\u002Fphysrev.1963.43.3.397",{"id":26,"text":2285,"url":26,"identifiers":2286},"10.1016\u002F0031-9384(88)90036-4",{"doi":2285},{"id":26,"text":2288,"url":26,"identifiers":2289},"Jones BE (1994) Basic mechanisms of sleep-waking states. in Principles and practice of sleep medicine, 2nd Edition, eds Kryger MH Roth T Dement WC (Saunders, Philadelphia), pp 145–162.",{},{"id":26,"text":2291,"url":26,"identifiers":2292},"10.1002\u002Fcne.903420211",{"doi":2291},{"id":26,"text":2294,"url":26,"identifiers":2295},"10.1016\u002F0006-8993(80)91037-9",{"doi":2294},{"id":26,"text":2297,"url":26,"identifiers":2298},"Leibowitz SF Stanley BG (1986) Neurochemical controls of appetite. in Feeding behavior: neural and humoral controls, eds Ritter RC Ritter S Barnes CD (Academic, Orlando, FL), pp 191–234.",{"doi":2299},"10.1016\u002FB978-0-12-589060-1.50012-2",{"id":26,"text":2301,"url":26,"identifiers":2302},"Lindgren, 1961, Localization and function of the medullary vasomotor center in intracollicularly decerebrated cats., Circ Res, 9, 250, 10.1161\u002F01.RES.9.2.250",{"doi":2303},"10.1161\u002F01.RES.9.2.250",{"id":26,"text":2305,"url":26,"identifiers":2306},"10.1016\u002F0301-0082(87)90004-9",{"doi":2305},{"id":26,"text":2308,"url":26,"identifiers":2309},"10.1016\u002F0306-4522(94)00481-J",{"doi":2308},{"id":26,"text":2311,"url":26,"identifiers":2312},"10.1210\u002Fendo-125-4-2056",{"doi":2311},{"id":26,"text":2314,"url":26,"identifiers":2315},"Nishijo, 1997, Parabrachial neural coding of taste stimuli in awake rats., J Neurophysiol, 78, 2254, 10.1152\u002Fjn.1997.78.5.2254",{"doi":2316},"10.1152\u002Fjn.1997.78.5.2254",{"id":26,"text":2318,"url":26,"identifiers":2319},"Paxinos G Watson C (1986) The rat brain in stereotaxic coordinates, 2nd Edition. (Academic, Sydney).",{},{"id":26,"text":2321,"url":26,"identifiers":2322},"Peyron, 1997, Distribution of immunoreactive neurons and fibers for a hypothalamic neuropeptide precursor related to secretin., Soc Neurosci Abstr, 23, 2032",{},{"id":26,"text":2324,"url":26,"identifiers":2325},"10.1016\u002FS0306-4522(97)00268-6",{"doi":2324},{"id":26,"text":2327,"url":26,"identifiers":2328},"10.1016\u002F0306-4522(95)00481-5",{"doi":2327},{"id":26,"text":2330,"url":26,"identifiers":2331},"10.1038\u002F380243a0",{"doi":2330},{"id":26,"text":2333,"url":26,"identifiers":2334},"Reis, 1965, Central neural regulation of carotid baroreceptor reflexes in the cat., Am J Physiol, 209, 1267, 10.1152\u002Fajplegacy.1965.209.6.1267",{"doi":2335},"10.1152\u002Fajplegacy.1965.209.6.1267",{"id":26,"text":2337,"url":26,"identifiers":2338},"10.1016\u002F0031-9384(87)90125-9",{"doi":2337},{"id":26,"text":2340,"url":26,"identifiers":2341},"10.1016\u002F0006-8993(94)90057-4",{"doi":2340},{"id":26,"text":2343,"url":26,"identifiers":2344},"10.1002\u002Fcne.901940309",{"doi":2343},{"id":26,"text":2346,"url":26,"identifiers":2347},"10.1210\u002Fen.138.1.351",{"doi":2346},{"id":26,"text":2349,"url":26,"identifiers":2350},"10.1016\u002FS0092-8674(00)80949-6",{"doi":2349},{"id":26,"text":2352,"url":26,"identifiers":2353},"10.1016\u002F0006-8993(76)90738-1",{"doi":2352},{"id":26,"text":2355,"url":26,"identifiers":2356},"10.1037\u002F0735-7044.111.1.155",{"doi":2355},{"id":26,"text":2358,"url":26,"identifiers":2359},"Simerly RB (1995) Anatomical substrates of hypothalamic integration. in The rat nervous system, 2nd Edition, ed Paxinos G (Academic), pp 353–376.",{},{"id":26,"text":2361,"url":26,"identifiers":2362},"10.1016\u002F0361-9230(85)90213-8",{"doi":2361},{"id":26,"text":2364,"url":26,"identifiers":2365},"Smith, 1990, Neurons controlling cardiovascular responses to emotion are located in lateral hypothalamus-perifornical region., Am J Physiol, 259, R943",{},{"id":26,"text":2367,"url":26,"identifiers":2368},"10.1016\u002F0024-3205(84)90032-8",{"doi":2367},{"id":26,"text":2370,"url":26,"identifiers":2371},"10.1016\u002F0006-8993(93)90382-W",{"doi":2370},{"id":26,"text":2373,"url":26,"identifiers":2374},"Stanley, 1996, Lateral hypothalamic NMDA receptors and glutamate physiological mediators of eating and weight control., Am J Physiol, 270, R443",{},{"id":26,"text":2376,"url":26,"identifiers":2377},"Sun, 1986, Hypothalamic glutamatergic input to medullary sympathoexcitatory neurons in rats., Am J Physiol, 251, R798",{},{"id":26,"text":2379,"url":26,"identifiers":2380},"10.1016\u002F0092-8674(83)90010-7",{"doi":2379},{"id":26,"text":2382,"url":26,"identifiers":2383},"Sutcliffe, 1997, Two novel hypothalamic peptides related to secretin derived from a single neuropeptide precursor., Soc Neurosci Abstr, 23, 2032",{},{"id":26,"text":2385,"url":26,"identifiers":2386},"Swanson LW (1987) The hypothalamus. in Handbook of chemical neuroanatomy, Vol 5, Integrated systems of the CNS, eds Björklund A Hökfelt T Swanson LW (Elsevier, Amsterdam), pp 1–124.",{},{"id":26,"text":2388,"url":26,"identifiers":2389},"Touzani, 1996, Cellular organization of lateral hypothalamic efferents to the central amygdaloid nucleus of the rat., NeuroReport, 7, 517, 10.1097\u002F00001756-199601310-00034",{"doi":2390},"10.1097\u002F00001756-199601310-00034",{"id":26,"text":2392,"url":26,"identifiers":2393},"10.1016\u002F0306-4522(94)90320-4",{"doi":2392},{"id":26,"text":2395,"url":26,"identifiers":2396},"10.1523\u002FJNEUROSCI.18-19-07962.1998",{"doi":2395},{"id":26,"text":2398,"url":26,"identifiers":2399},"Vanni-Mercier, 1984, “Waking state specific” neurons in the caudal hypothalamus of the cat., C R Acad Sci Paris, 298, 195",{},{"id":26,"text":2401,"url":26,"identifiers":2402},"Vertes RP (1990) Brainstem mechanisms of slow wave sleep and REM sleep. in Brainstem mechanisms of behavior, eds Klemm WR Vertes RP (Wiley, New York), pp 535–581.",{},{"id":26,"text":2404,"url":26,"identifiers":2405},"Werner, 1990, Loss and restoration of preoptic thermoreactiveness after lesions of the rostral raphe nuclei., Exp Brain Res, 80, 429, 10.1007\u002FBF00228170",{"doi":2406},"10.1007\u002FBF00228170",{"id":26,"text":2408,"url":26,"identifiers":2409},"10.1016\u002F0306-4522(84)90149-0",{"doi":2408},{"id":2411,"createTime":2412,"updateTime":2413,"relativeEntities":2414,"slug":2415,"properties":2416,"entityType":774,"verifyStatus":25,"verifyTime":2412,"verifyNote":775,"syncStatus":28,"languages":2435,"translateLanguages":2436,"viewCount":36,"primaryUrl":2437,"fullTextUrl":26,"authors":2438,"publicationType":956,"publisherRelationship":2511,"citationCount":2544,"citationInfo":2545,"publishDate":2552,"publishYear":2553,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":2554,"isForceReanalyzing":1205},"68b58521-e2f1-4463-8866-b58edc21933c","2024-08-30T23:34:49.807+00:00","2025-01-18T06:01:19.285+00:00",[],"Chronic-Antidepressant-Treatment-Increases-Neurogenesis-in-Adult-Rat-Hippocampus",{"mag":2417,"keywords":2419,"pmc":2421,"openalex":2423,"abstract":2425,"title":2428,"pm":2431,"doi":2433},{"VOID":2418},"2133565799",{"VI":2420},"thuốc chống trầm cảm, hồi hải mã, neurogenesis, căng thẳng, BrdU",{"VOID":2422},"6773038",{"VOID":2424},"W2133565799",{"EN":2426,"VI":2427},"\u003Cjats:p>Recent studies suggest that stress-induced atrophy and loss of hippocampal neurons may contribute to the pathophysiology of depression. The aim of this study was to investigate the effect of antidepressants on hippocampal neurogenesis in the adult rat, using the thymidine analog bromodeoxyuridine (BrdU) as a marker for dividing cells. Our studies demonstrate that chronic antidepressant treatment significantly increases the number of BrdU-labeled cells in the dentate gyrus and hilus of the hippocampus. Administration of several different classes of antidepressant, but not non-antidepressant, agents was found to increase BrdU-labeled cell number, indicating that this is a common and selective action of antidepressants. In addition, upregulation of the number of BrdU-labeled cells is observed after chronic, but not acute, treatment, consistent with the time course for the therapeutic action of antidepressants. Additional studies demonstrated that antidepressant treatment increases the proliferation of hippocampal cells and that these new cells mature and become neurons, as determined by triple labeling for BrdU and neuronal- or glial-specific markers. These findings raise the possibility that increased cell proliferation and increased neuronal number may be a mechanism by which antidepressant treatment overcomes the stress-induced atrophy and loss of hippocampal neurons and may contribute to the therapeutic actions of antidepressant treatment.\u003C\u002Fjats:p>","\u003Cjats:p>Các nghiên cứu gần đây cho thấy sự teo cơ và mất neuron hồi hải mã do căng thẳng có thể góp phần vào bệnh sinh của trầm cảm. Mục tiêu của nghiên cứu này là điều tra tác động của thuốc chống trầm cảm lên neurogenesis trong hồi hải mã của chuột trưởng thành, sử dụng phân tử tương tự thymidine bromodeoxyuridine (BrdU) như một dấu hiệu cho các tế bào phân chia. Nghiên cứu của chúng tôi cho thấy điều trị thuốc chống trầm cảm mạn tính làm tăng đáng kể số lượng tế bào có nhãn BrdU trong rãnh dentate và hilus của hồi hải mã. Việc sử dụng một số loại thuốc chống trầm cảm khác nhau, nhưng không phải các tác nhân không phải chống trầm cảm, được phát hiện là làm tăng số lượng tế bào có nhãn BrdU, cho thấy đây là một hành động phổ biến và chọn lọc của thuốc chống trầm cảm. Ngoài ra, sự gia tăng số lượng tế bào có nhãn BrdU được quan sát thấy sau điều trị mạn tính, nhưng không phải mạn tính, phù hợp với thời gian tác động điều trị của thuốc chống trầm cảm. Các nghiên cứu bổ sung cho thấy điều trị bằng thuốc chống trầm cảm làm tăng sự sinh sản của các tế bào hồi hải mã và những tế bào mới này trưởng thành và trở thành neuron, được xác định bởi việc đánh dấu ba chiều cho BrdU và các dấu hiệu đặc hiệu cho neuron hoặc tế bào glial. Những phát hiện này làm dấy lên khả năng rằng sự gia tăng sinh sản tế bào và số lượng neuron có thể là một cơ chế mà thuốc chống trầm cảm điều trị vượt qua sự teo cơ do căng thẳng và mất neuron hồi hải mã, và có thể góp phần vào các tác dụng điều trị của việc điều trị bằng thuốc chống trầm cảm.\u003C\u002Fjats:p>",{"EN":2429,"VI":2430},"Chronic Antidepressant Treatment Increases Neurogenesis in Adult Rat Hippocampus","Điều Trị Chống Trầm Cảm Mạn Tính Tăng Cường Neurogenesis Trong Hippocampus Của Chuột Trưởng Thành",{"VOID":2432},"11124987",{"VOID":2434},"10.1523\u002Fjneurosci.20-24-09104.2000",[102],[101],"https:\u002F\u002Fwww.jneurosci.org\u002Flookup\u002Fdoi\u002F10.1523\u002FJNEUROSCI.20-24-09104.2000",[2439,2460,2477,2494],{"id":2440,"sortIndex":36,"researcher":26,"roles":2441,"affiliations":2442,"properties":2453},"ce7ab04b-f345-463e-bb25-025914d052a0",[],[2443],{"id":2444,"sortIndex":36,"affiliation":2445,"properties":26},"5c1a34a7-1b9b-414c-8adb-cfd97680fc6d",{"id":2446,"createTime":2447,"updateTime":2447,"relativeEntities":2448,"slug":2449,"properties":2450,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"e9bfd2ef-e93c-41b0-aafd-15c42b5f92d5","2024-08-30T23:34:49.827+00:00",[],"Laboratory-of-Molecular-Psychiatry-Departments-of-Psychiatry-and-Pharmacology-Yale-University-School-of-Medicine-Connecticut-Mental-Health-Center-New-Haven-Connecticut-06508",{"title":2451},{"EN":2452},"Laboratory of Molecular Psychiatry, Departments of Psychiatry and Pharmacology, Yale University School of Medicine, Connecticut Mental Health Center, New Haven, Connecticut 06508",{"openalex":2454,"orcid":2456,"title":2458},{"VOID":2455},"A5061618985",{"VOID":2457},"https:\u002F\u002Forcid.org\u002F0000-0002-4031-2629",{"EN":2459},"Jessica E. 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1982, Effect of haloperidol on cell proliferation in the early postnatal rat brain., Neuropathol Appl Neurobiol, 8, 109, 10.1111\u002Fj.1365-2990.1982.tb00266.x",{"doi":2561},"10.1111\u002Fj.1365-2990.1982.tb00266.x",{"id":26,"text":2563,"url":26,"identifiers":2564},"10.1016\u002F0306-4522(93)90335-D",{"doi":2563},{"id":26,"text":2566,"url":26,"identifiers":2567},"10.1007\u002Fs007020050061",{"doi":2566},{"id":26,"text":2569,"url":26,"identifiers":2570},"10.1016\u002FS0006-3223(98)00031-6",{"doi":2569},{"id":26,"text":2572,"url":26,"identifiers":2573},"10.1001\u002Farchpsyc.1997.01830190015002",{"doi":2572},{"id":26,"text":2575,"url":26,"identifiers":2576},"10.1016\u002FS0006-3223(99)00177-8",{"doi":2575},{"id":26,"text":2578,"url":26,"identifiers":2579},"10.1073\u002Fpnas.120552597",{"doi":2578},{"id":26,"text":2581,"url":26,"identifiers":2582},"10.1038\u002F3305",{"doi":2581},{"id":26,"text":2584,"url":26,"identifiers":2585},"Fuchs, 1997, Chronic subordination stress inhibits neurogenesis and decreases the volume of the granule cell layer., Soc Neurosci Abstr, 23, 317",{},{"id":26,"text":2587,"url":26,"identifiers":2588},"10.1523\u002FJNEUROSCI.17-07-02492.1997",{"doi":2587},{"id":26,"text":2590,"url":26,"identifiers":2591},"10.1073\u002Fpnas.95.6.3168",{"doi":2590},{"id":26,"text":2593,"url":26,"identifiers":2594},"10.1038\u002F6365",{"doi":2593},{"id":26,"text":2596,"url":26,"identifiers":2597},"10.1126\u002Fscience.286.5439.548",{"doi":2596},{"id":26,"text":2599,"url":26,"identifiers":2600},"10.1523\u002FJNEUROSCI.18-23-10150.1998",{"doi":2599},{"id":26,"text":2602,"url":26,"identifiers":2603},"Jacobs, 1998, Serotonin stimulates the production of new hippocampal granule neurons via the 5HT1A receptor in the adult rat., Soc Neurosci Abstr, 23, 1992",{},{"id":26,"text":2605,"url":26,"identifiers":2606},"Jacobs, 1999, Chronic fluoxetine treatment increases hippocampal neurogenesis in rats: a novel theory of depression., Soc Neurosci Abstr, 25, 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Here we describe methods for the prospective isolation and purification of astrocytes, neurons, and oligodendrocytes from developing and mature mouse forebrain. We used FACS (fluorescent-activated cell sorting) to isolate astrocytes from transgenic mice that express enhanced green fluorescent protein (EGFP) under the control of an S100β promoter. Using Affymetrix GeneChip Arrays, we then created a transcriptome database of the expression levels of >20,000 genes by gene profiling these three main CNS neural cell types at various postnatal ages between postnatal day 1 (P1) and P30. This database provides a detailed global characterization and comparison of the genes expressed by acutely isolated astrocytes, neurons, and oligodendrocytes. We found that Aldh1L1 is a highly specific antigenic marker for astrocytes with a substantially broader pattern of astrocyte expression than the traditional astrocyte marker GFAP. Astrocytes were enriched in specific metabolic and lipid synthetic pathways, as well as the draper\u002FMegf10 and Mertk\u002Fintegrin α\u003Cjats:sub>v\u003C\u002Fjats:sub>β\u003Cjats:sub>5\u003C\u002Fjats:sub>phagocytic pathways suggesting that astrocytes are professional phagocytes. Our findings call into question the concept of a “glial” cell class as the gene profiles of astrocytes and oligodendrocytes are as dissimilar to each other as they are to neurons. This transcriptome database of acutely isolated purified astrocytes, neurons, and oligodendrocytes provides a resource to the neuroscience community by providing improved cell-type-specific markers and for better understanding of neural development, function, and disease.\u003C\u002Fjats:p>","\u003Cjats:p>Việc hiểu biết về các tương tác giữa tế bào điều khiển sự phát triển và chức năng của hệ thần kinh trung ương (CNS) từ lâu đã bị giới hạn bởi việc thiếu các phương pháp tách biệt sạch sẽ các loại tế bào thần kinh. Ở đây, chúng tôi mô tả các phương pháp để tách rời và tinh chế có triển vọng các tế bào thần kinh đệm, tế bào thần kinh và tế bào oligodendrocyte từ não trước phát triển và trưởng thành của chuột. Chúng tôi đã sử dụng FACS (phân loại tế bào hoạt động bằng huỳnh quang) để tách rời các tế bào thần kinh đệm từ chuột chuyển gen biểu hiện protein huỳnh quang xanh lá cây tăng cường (EGFP) dưới sự điều khiển của một trình điều khiển S100β. Bằng cách sử dụng Affymetrix GeneChip Arrays, chúng tôi đã tạo ra một cơ sở dữ liệu transcriptome về mức độ biểu hiện của hơn 20,000 gen bằng cách lập hồ sơ gen cho ba loại tế bào thần kinh chính của CNS ở các độ tuổi sau sinh khác nhau từ ngày sau sinh thứ nhất (P1) đến P30. Cơ sở dữ liệu này cung cấp một đặc điểm và so sánh toàn cầu chi tiết về các gen được biểu hiện bởi các tế bào thần kinh đệm, tế bào thần kinh và tế bào oligodendrocyte đã được tách rời một cách cấp tính. Chúng tôi phát hiện rằng Aldh1L1 là một dấu ấn kháng nguyên đặc hiệu cao cho các tế bào thần kinh đệm với kiểu hình biểu hiện tế bào thần kinh đệm rộng hơn đáng kể so với dấu ấn tế bào thần kinh đệm truyền thống GFAP. Các tế bào thần kinh đệm được làm giàu trong các con đường chuyển hóa và tổng hợp lipid cụ thể, cũng như các con đường phagocytic draper\u002FMegf10 và Mertk\u002Fintegrin α\u003Cjats:sub>v\u003C\u002Fjats:sub>β\u003Cjats:sub>5\u003C\u002Fjats:sub> cho thấy rằng các tế bào thần kinh đệm là những thực bào chuyên nghiệp. Những phát hiện của chúng tôi đặt ra câu hỏi về khái niệm về một lớp tế bào “tế bào đệm” khi mà hồ sơ gen của các tế bào thần kinh đệm và tế bào oligodendrocyte không tương đồng với nhau như chúng là với các tế bào thần kinh. Cơ sở dữ liệu transcriptome này của các tế bào thần kinh đệm, tế bào thần kinh và tế bào oligodendrocyte đã được tách rời và tinh chế cung cấp một tài nguyên cho cộng đồng thần kinh học bằng cách cung cấp các dấu ấn cụ thể cho loại tế bào tốt hơn và hiểu rõ hơn về sự phát triển, chức năng và bệnh lý thần kinh.",{"EN":2716,"VI":2717},"A Transcriptome Database for Astrocytes, Neurons, and Oligodendrocytes: A New Resource for Understanding Brain Development and Function","Cơ sở dữ liệu transcriptome cho tế bào thần kinh đệm, tế bào thần kinh và tế bào oligodendrocyte: Tài nguyên mới để hiểu biết về sự phát triển và chức năng của não",{"VOID":2719},"18171944",{"VOID":2721},"10.1523\u002Fjneurosci.4178-07.2008",[102],[101],"https:\u002F\u002Fwww.jneurosci.org\u002Flookup\u002Fdoi\u002F10.1523\u002FJNEUROSCI.4178-07.2008",[2726,2740,2760,2782,2799,2821,2843,2858,2878,2895,2912,2927],{"id":2727,"sortIndex":53,"researcher":26,"roles":2728,"affiliations":2729,"properties":2736},"90b40d85-4338-4035-99c8-9dde87419414",[],[2730],{"id":2731,"sortIndex":36,"affiliation":2732,"properties":26},"06eed1b9-a717-4871-b795-bf3083460cb1",{"id":787,"createTime":788,"updateTime":789,"relativeEntities":2733,"slug":791,"properties":2734,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":2735},{"EN":794},{"openalex":2737,"orcid":2738,"title":2739},{"VOID":1294},{"VOID":1296},{"EN":1298},{"id":2741,"sortIndex":116,"researcher":26,"roles":2742,"affiliations":2743,"properties":2755},"996a8524-cd1e-4ff3-80a9-2a8936da1025",[],[2744],{"id":2745,"sortIndex":36,"affiliation":2746,"properties":26},"55817e82-c752-4129-b0c5-e50762e37436",{"id":2747,"createTime":2748,"updateTime":2749,"relativeEntities":2750,"slug":2751,"properties":2752,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"61fb8ee0-5b15-423c-ab1f-397e01d78645","2024-08-30T05:50:13.051+00:00","2025-02-08T23:17:53.995+00:00",[],"University-of-Texas-at-Austin-TAB-",{"title":2753},{"EN":2754},"University of Texas at Austin#TAB#",{"openalex":2756,"title":2758},{"VOID":2757},"A5011651364",{"EN":2759},"Wesley J. 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A synaptic evolution scheme of a new kind is proposed in which incoming patterns rather than converging afferents compete. The change in the efficacy of a given synapse depends not only on instantaneous pre- and postsynaptic activities but also on a slowly varying time-averaged value of the postsynaptic activity. Assuming an appropriate nonlinear form for this dependence, development of selectivity is obtained under quite general conditions on the sensory environment. One does not require nonlinearity of the neuron's integrative power nor does one need to assume any particular form for intracortical circuitry. This is first illustrated in simple cases, e.g., when the environment consists of only two different stimuli presented alternately in a random manner. The following formal statement then holds: the state of the system converges with probability 1 to points of maximum selectivity in the state space. We next consider the problem of early development of orientation selectivity and binocular interaction in primary visual cortex. Giving the environment an appropriate form, we obtain orientation tuning curves and ocular dominance comparable to what is observed in normally reared adult cats or monkeys. Simulations with binocular input and various types of normal or altered environments show good agreement with the relevant experimental data. Experiments are suggested that could test our theory further.\u003C\u002Fjats:p>","\u003Cjats:p>Sự phát triển của tính chọn lọc đối với kích thích trong vỏ não cảm giác chính của các động vật có xương sống bậc cao được xem xét trong một khuôn khổ toán học tổng quát. Một sơ đồ tiến hoá synapse kiểu mới được đề xuất, trong đó các kiểu hình đưa vào chứ không phải các nhánh cảm giác hội tụ cạnh tranh với nhau. Sự thay đổi trong hiệu quả của một synapse nhất định không chỉ phụ thuộc vào hoạt động của các synapse trước và sau ngay lập tức mà còn phụ thuộc vào giá trị trung bình theo thời gian thay đổi chậm của hoạt động sau synapse. Giả sử một dạng phi tuyến phù hợp cho sự phụ thuộc này, sự phát triển của tính chọn lọc đạt được dưới các điều kiện khá tổng quát về môi trường cảm giác. Không yêu cầu tính phi tuyến của khả năng tích hợp của neuron cũng như không cần giả định bất kỳ dạng nào cho mạch não trong. Điều này được minh hoạ lần đầu tiên trong những trường hợp đơn giản, ví dụ, khi môi trường bao gồm chỉ hai kích thích khác nhau được trình bày luân phiên theo cách ngẫu nhiên. Tuyên bố chính thức tiếp theo được đưa ra: trạng thái của hệ thống hội tụ với xác suất 1 đến các điểm có tính chọn lọc tối đa trong không gian trạng thái. Tiếp theo, chúng tôi xem xét vấn đề phát triển sớm của tính chọn lọc về phương hướng và tương tác hai mắt trong vỏ não thị giác chính. Bằng cách tạo ra một hình thức môi trường phù hợp, chúng tôi thu được các đường cong điều chỉnh phương hướng và sự thống trị mắt so sánh với những gì quan sát được ở các con mèo hoặc khỉ trưởng thành nuôi dưỡng bình thường. Các mô phỏng với đầu vào hai mắt và nhiều loại môi trường bình thường hoặc thay đổi cho thấy sự phù hợp tốt với dữ liệu thực nghiệm liên quan. Các thí nghiệm được gợi ý để có thể kiểm tra lý thuyết của chúng tôi thêm.",{"EN":3219,"VI":3220},"Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex","Lý thuyết về sự phát triển của tính chọn lọc tế bào thần kinh: tính đặc hiệu về phương hướng và tương tác hai mắt trong vỏ não thị 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and Division of Applied Mathematics, Brown University, Providence, Rhode Island 02912",{"id":3244,"sortIndex":36,"affiliation":3245,"properties":26},"128763bb-f6c5-4f2f-aafd-b49dab2dde6b",{"id":3246,"createTime":3247,"updateTime":3248,"relativeEntities":3249,"slug":3250,"properties":3251,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"99f4c44e-fc16-4e1c-9b5d-a134aa50ae3d","2024-09-19T00:21:34.209+00:00","2025-01-06T04:45:14.374+00:00",[],"Center-for-Neural-Science-Brown-University-Providence-RI-02912-",{"title":3252},{"EN":3253},"Center for Neural Science, Brown University, Providence, RI 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Transgenic mice that express FAD mutant APP and PS1 overproduce Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub>and exhibit amyloid plaque pathology similar to that found in AD, but most transgenic models develop plaques slowly. To accelerate plaque development and investigate the effects of very high cerebral Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub>levels, we generated APP\u002FPS1 double transgenic mice that coexpress five FAD mutations (5XFAD mice) and additively increase Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub>production. 5XFAD mice generate Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub>almost exclusively and rapidly accumulate massive cerebral Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub>levels. Amyloid deposition (and gliosis) begins at 2 months and reaches a very large burden, especially in subiculum and deep cortical layers. Intraneuronal Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub>accumulates in 5XFAD brain starting at 1.5 months of age (before plaques form), is aggregated (as determined by thioflavin S staining), and occurs within neuron soma and neurites. Some amyloid deposits originate within morphologically abnormal neuron soma that contain intraneuronal Aβ. Synaptic markers synaptophysin, syntaxin, and postsynaptic density-95 decrease with age in 5XFAD brain, and large pyramidal neurons in cortical layer 5 and subiculum are lost. In addition, levels of the activation subunit of cyclin-dependent kinase 5, p25, are elevated significantly at 9 months in 5XFAD brain, although an upward trend is observed by 3 months of age, before significant neurodegeneration or neuron loss. Finally, 5XFAD mice have impaired memory in the Y-maze. Thus, 5XFAD mice rapidly recapitulate major features of AD amyloid pathology and may be useful models of intraneuronal Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub>-induced neurodegeneration and amyloid plaque formation.\u003C\u002Fjats:p>","\u003Cjats:p>Các đột biến trong gen của protein tiền chất amyloid (APP) và presenilin (PS1, PS2) làm tăng sản xuất β-amyloid 42 (Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub>) và gây ra bệnh Alzheimer gia đình (FAD). Chuột chuyển gen biểu hiện APP đột biến FAD và PS1 sản xuất dư thừa Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub> và thể hiện bệnh lý mảng bám amyloid tương tự như tìm thấy ở AD, nhưng hầu hết các mô hình chuyển gen phát triển mảng bám chậm. Để gia tăng tốc độ phát triển mảng bám và điều tra tác động của mức độ Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub> trong não rất cao, chúng tôi đã tạo ra chuột chuyển gen APP\u002FPS1 đồng biểu hiện năm đột biến FAD (chuột 5XFAD) và gia tăng thêm sản xuất Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub>. Chuột 5XFAD sản xuất Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub> gần như hoàn toàn và tích lũy nhanh chóng mức độ Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub> trong não với số lượng lớn. Sự lắng đọng amyloid (và gliosis) bắt đầu từ 2 tháng tuổi và đạt được một gánh nặng rất lớn, đặc biệt là ở khu vực hồi hải mã và các lớp vỏ não sâu. Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub> nội nơron tích lũy trong não chuột 5XFAD bắt đầu từ 1,5 tháng tuổi (trước khi mảng bám hình thành), được tổng hợp (theo kết quả nhuộm thioflavin S), và xuất hiện trong soma và nhánh nơron. Một số lắng đọng amyloid bắt nguồn từ soma nơron có hình thái bất thường chứa Aβ nội nơron. Các dấu ấn synapse như synaptophysin, syntaxin và mật độ sau synapse 95 (PSD-95) giảm theo tuổi tác trong não chuột 5XFAD, trong khi các nơron hình chóp lớn ở lớp vỏ não 5 và hồi hải mã bị mất. Hơn nữa, mức độ của tiểu đơn vị kích hoạt của kinase phụ thuộc cyclin 5, p25, tăng lên đáng kể ở 9 tháng tuổi trong não chuột 5XFAD, mặc dù có một xu hướng tăng được quan sát thấy từ 3 tháng tuổi, trước khi xảy ra thoái hóa nơron quan trọng hoặc mất nơron. Cuối cùng, chuột 5XFAD có trí nhớ bị suy giảm trong thí nghiệm mê cung hình Y. Do đó, chuột 5XFAD nhanh chóng tái hiện các đặc điểm chính của bệnh lý amyloid trong AD và có thể là những mô hình hữu ích cho thoái hóa nơron do Aβ\u003Cjats:sub>42\u003C\u002Fjats:sub> nội nơron gây ra và hình thành mảng bám amyloid.\u003C\u002Fjats:p>",{"EN":3383,"VI":3384},"Intraneuronal β-Amyloid Aggregates, Neurodegeneration, and Neuron Loss in Transgenic Mice with Five Familial Alzheimer's Disease Mutations: Potential Factors in Amyloid Plaque Formation","Tích tụ β-Amyloid Nội Nơron, Thoái hóa Nơron và Mất Nơron ở Chuột Chuyển Gen Có Năm Đột Biến Liên Quan Đến Bệnh Alzheimer Gia Đình: Các Yếu Tố Tiềm Năng Trong Hình Thành Mảng Bám Amyloid",{"VOID":3386},"17021169",{"VOID":3388},"10.1523\u002Fjneurosci.1202-06.2006",[102],[101],"https:\u002F\u002Fwww.jneurosci.org\u002Flookup\u002Fdoi\u002F10.1523\u002FJNEUROSCI.1202-06.2006",[3393,3414,3445,3466,3487,3508,3529,3552,3575,3592,3615,3638],{"id":3394,"sortIndex":158,"researcher":26,"roles":3395,"affiliations":3396,"properties":3407},"5b8b58e0-5f42-4452-9465-f3847eeeaafa",[],[3397],{"id":3398,"sortIndex":36,"affiliation":3399,"properties":26},"c844b286-8476-470e-bd13-375d74d95325",{"id":3400,"createTime":3401,"updateTime":3401,"relativeEntities":3402,"slug":3403,"properties":3404,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"d2161272-76b9-4217-8756-faa331a39090","2024-10-03T03:13:40.345+00:00",[],"Physiology-The-Feinberg-School-of-Medicine-Northwestern-University-Chicago-Illinois-60611",{"title":3405},{"EN":3406},"Physiology, The Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611",{"openalex":3408,"orcid":3410,"title":3412},{"VOID":3409},"A5033371779",{"VOID":3411},"https:\u002F\u002Forcid.org\u002F0000-0003-4215-8212",{"EN":3413},"Minoru Ohno",{"id":3415,"sortIndex":116,"researcher":26,"roles":3416,"affiliations":3417,"properties":3438},"d3077ac5-c88f-4930-a519-68a9af769a74",[],[3418,3428],{"id":3419,"sortIndex":115,"affiliation":3420,"properties":26},"64e1519e-16b2-463e-bfe9-2fafdfefec83",{"id":3421,"createTime":3422,"updateTime":3422,"relativeEntities":3423,"slug":3424,"properties":3425,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"dc770157-bc0f-4fa1-81cc-caa9a56a6de1","2024-10-03T03:13:40.259+00:00",[],"Departments-of-1-Cell-and-Molecular-Biology-and",{"title":3426},{"EN":3427},"Departments of 1 Cell and Molecular Biology and",{"id":3429,"sortIndex":36,"affiliation":3430,"properties":26},"8e023bb0-a77a-48b9-a6f7-657b91007394",{"id":3431,"createTime":3432,"updateTime":3432,"relativeEntities":3433,"slug":3434,"properties":3435,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"6b04d5df-ec4d-4e9c-b0ae-325d8b4cd5b2","2024-10-03T03:13:40.253+00:00",[],"Department-of-Cell-and-Molecular-Biology-The-Fein-berg-School-of-Medicine-Northwestern-University-303-East-Chicago-Avenue-Chicago-IL-60611-",{"title":3436},{"EN":3437},"Department of Cell and Molecular Biology, The Fein-berg School of Medicine, Northwestern University, 303 East Chicago Avenue, Chicago, IL 60611.",{"openalex":3439,"orcid":3441,"title":3443},{"VOID":3440},"A5064900925",{"VOID":3442},"https:\u002F\u002Forcid.org\u002F0000-0003-0739-0657",{"EN":3444},"R. 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2001, Intraneuronal abeta-amyloid precedes development of amyloid plaques in Down syndrome, Arch Pathol Lab Med, 125, 489, 10.5858\u002F2001-125-0489-IAAPDO",{"doi":3783},"10.5858\u002F2001-125-0489-IAAPDO",{"id":26,"text":3785,"url":26,"identifiers":3786},"Hogan B Beddington R Costantini F Lacy E (1994) Manipulating the mouse embryo: a laboratory manual (Cold Spring Harbor Laboratory, Plainview, NY), second Edition.",{},{"id":26,"text":3788,"url":26,"identifiers":3789},"10.1038\u002Fnm0198-097",{"doi":3788},{"id":26,"text":3791,"url":26,"identifiers":3792},"10.1126\u002Fscience.274.5284.99",{"doi":3791},{"id":26,"text":3794,"url":26,"identifiers":3795},"Hutton, 1998, Genetics of Alzheimer's disease, Essays Biochem, 33, 117, 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disease: genes, proteins, and therapy, Physiol Rev, 81, 741, 10.1152\u002Fphysrev.2001.81.2.741",{"doi":3860},"10.1152\u002Fphysrev.2001.81.2.741",{"id":26,"text":3862,"url":26,"identifiers":3863},"Sheng, 2002, Disruption of corticocortical connections ameliorates amyloid burden in terminal fields in a transgenic model of Aβ amyloidosis, J Neurosci, 22, 9794, 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properties have been demonstrated for many complex networks. Here, we applied the discrete wavelet transform to functional magnetic resonance imaging (fMRI) time series, acquired from healthy volunteers in the resting state, to estimate frequency-dependent correlation matrices characterizing functional connectivity between 90 cortical and subcortical regions. After thresholding the wavelet correlation matrices to create undirected graphs of brain functional networks, we found a small-world topology of sparse connections most salient in the low-frequency interval 0.03–0.06 Hz. Global mean path length (2.49) was approximately equivalent to a comparable random network, whereas clustering (0.53) was two times greater; similar parameters have been reported for the network of anatomical connections in the macaque cortex. The human functional network was dominated by a neocortical core of highly connected hubs and had an exponentially truncated power law degree distribution. Hubs included recently evolved regions of the heteromodal association cortex, with long-distance connections to other regions, and more cliquishly connected regions of the unimodal association and primary cortices; paralimbic and limbic regions were topologically more peripheral. The network was more resilient to targeted attack on its hubs than a comparable scale-free network, but about equally resilient to random error. We conclude that correlated, low-frequency oscillations in human fMRI data have a small-world architecture that probably reflects underlying anatomical connectivity of the cortex. Because the major hubs of this network are critical for cognition, its slow dynamics could provide a physiological substrate for segregated and distributed information processing.\u003C\u002Fjats:p>","\u003Cjats:p>Các đặc tính tiểu thế giới đã được chứng minh cho nhiều mạng lưới phức tạp. Ở đây, chúng tôi áp dụng biến đổi wavelet rời rạc cho chuỗi thời gian chụp cộng hưởng từ chức năng (fMRI), thu được từ các tình nguyện viên khỏe mạnh trong trạng thái nghỉ, để ước lượng các ma trận tương quan phụ thuộc tần số đặc trưng cho tính kết nối chức năng giữa 90 vùng não vỏ và não dưới vỏ. Sau khi vượt ngưỡng các ma trận tương quan wavelet để tạo ra các đồ thị không có hướng của các mạng lưới chức năng của não, chúng tôi phát hiện cấu trúc tiểu thế giới với các kết nối thưa thớt rõ ràng nhất trong khoảng tần số thấp 0,03–0,06 Hz. Chiều dài đường đi trung bình toàn cầu (2,49) tương đương với một mạng ngẫu nhiên tương đương, trong khi cụm (0,53) cao gấp đôi; các tham số tương tự đã được báo cáo cho mạng lưới kết nối giải phẫu trong vỏ não khỉ macaque. Mạng lưới chức năng của con người được chi phối bởi một lõi vỏ não mới với các nút liên kết cao và có phân phối độ mạnh theo quy luật lũy thừa giảm dần theo cấp số nhân. Các nút bao gồm các vùng gần đây đã tiến hóa của vỏ não hiệp đồng với các kết nối đường dài đến các vùng khác, và các vùng kết nối chặt chẽ hơn của vỏ não hiệp đồng đơn và vỏ não nguyên phát; các vùng liềm và limbic có vị trí về mặt cấu trúc tương đối ngoại vi hơn. Mạng lưới này có khả năng chống chịu tốt hơn đối với các cuộc tấn công có chủ đích vào các nút của nó so với một mạng lưới không tỉ lệ tương ứng, nhưng gần như có khả năng chống chịu tương đương đối với lỗi ngẫu nhiên. Chúng tôi kết luận rằng các dao động tương quan tần số thấp trong dữ liệu fMRI của con người có kiến trúc tiểu thế giới có thể phản ánh kết nối giải phẫu cơ bản của vỏ não. Bởi vì các nút chính của mạng lưới này là rất quan trọng cho nhận thức, động lực chậm của nó có thể cung cấp một cơ sở sinh lý cho quá trình xử lý thông tin phân đoạn và phân tán.\u003C\u002Fjats:p>",{"EN":3910,"VI":3911},"A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs","Mạng lưới chức năng não người có khả năng chống chịu, tần số thấp và cấu trúc tiểu thế giới với các nút vỏ não liên kết cao",{"VOID":3913},"16399673",{"VOID":3915},"10.1523\u002Fjneurosci.3874-05.2006",[102],[101],"https:\u002F\u002Fwww.jneurosci.org\u002Flookup\u002Fdoi\u002F10.1523\u002FJNEUROSCI.3874-05.2006",[3920,3951,3972,3989,4006],{"id":3921,"sortIndex":111,"researcher":26,"roles":3922,"affiliations":3923,"properties":3944},"7cd9dfb7-8672-4fc0-964f-982d7d2a160c",[],[3924,3934],{"id":3925,"sortIndex":115,"affiliation":3926,"properties":26},"62531cc6-9eda-48a4-a6b7-37a6ee010bf8",{"id":3927,"createTime":3928,"updateTime":3928,"relativeEntities":3929,"slug":3930,"properties":3931,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"9195028e-f3f8-4bbf-8427-73fb4d9675f1","2024-10-06T08:41:30.214+00:00",[],"Translational-Medicine-and-Genetics-GlaxoSmithKline-Cambridge-CB2-2QQ-United-Kingdom",{"title":3932},{"EN":3933},"Translational Medicine and Genetics, GlaxoSmithKline, Cambridge CB2 2QQ, United Kingdom",{"id":3935,"sortIndex":36,"affiliation":3936,"properties":26},"b27f5153-ab7f-49b0-891b-1ae79ea88927",{"id":3937,"createTime":3938,"updateTime":3938,"relativeEntities":3939,"slug":3940,"properties":3941,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"4add3ed4-4f00-4c73-be9a-29aa0d39b741","2024-10-06T08:41:30.197+00:00",[],"Brain-Mapping-Unit-and-Wolfson-Brain-Imaging-Centre-University-of-Cambridge-Departments-of-Psychiatry-and-Clinical-Neurosciences-Addenbrooke-s-Hospital-Cambridge-CB2-2QQ-United-Kingdom-",{"title":3942},{"EN":3943},"Brain Mapping Unit and Wolfson Brain Imaging Centre, University of Cambridge, Departments of Psychiatry and Clinical Neurosciences, Addenbrooke's Hospital, Cambridge CB2 2QQ, United Kingdom,",{"openalex":3945,"orcid":3947,"title":3949},{"VOID":3946},"A5041538919",{"VOID":3948},"https:\u002F\u002Forcid.org\u002F0000-0002-8955-8283",{"EN":3950},"Edward T. 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and",{"id":4021,"sortIndex":36,"affiliation":4022,"properties":26},"c3d69adb-ff9b-467f-8080-15bb3ad8bfdd",{"id":3937,"createTime":3938,"updateTime":3938,"relativeEntities":4023,"slug":3940,"properties":4024,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":4025},{"EN":3943},{"openalex":4027,"orcid":4029,"title":4031},{"VOID":4028},"A5013850648",{"VOID":4030},"https:\u002F\u002Forcid.org\u002F0000-0001-5557-1562",{"EN":4032},"Raymond 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Proc R Soc Lond B Biol Sci, in press.",{},{"id":26,"text":4121,"url":26,"identifiers":4122},"10.1016\u002Fj.neucom.2004.01.059",{"doi":4121},{"id":26,"text":4124,"url":26,"identifiers":4125},"10.1103\u002FPhysRevE.69.036103",{"doi":4124},{"id":26,"text":4127,"url":26,"identifiers":4128},"1989, Inform Process Lett, 31, 7, 10.1016\u002F0020-0190(89)90102-6",{"doi":4129},"10.1016\u002F0020-0190(89)90102-6",{"id":26,"text":4131,"url":26,"identifiers":4132},"10.1016\u002Fj.mri.2004.09.005",{"doi":4131},{"id":26,"text":4134,"url":26,"identifiers":4135},"10.1016\u002Fj.neunet.2003.06.002",{"doi":4134},{"id":26,"text":4137,"url":26,"identifiers":4138},"Koutsofios E, North S (1991) Drawing graphs with dot. Technical Report 910904-59113-08TM. Murray Hill, NJ: AT&T Bell Laboratories.",{},{"id":26,"text":4140,"url":26,"identifiers":4141},"10.1126\u002Fscience.1089662",{"doi":4140},{"id":26,"text":4143,"url":26,"identifiers":4144},"10.1093\u002Fcercor\u002F13.4.422",{"doi":4143},{"id":26,"text":4146,"url":26,"identifiers":4147},"2001, J Neurosci, 21, 1370, 10.1523\u002FJNEUROSCI.21-04-01370.2001",{"doi":4148},"10.1523\u002FJNEUROSCI.21-04-01370.2001",{"id":26,"text":1127,"url":26,"identifiers":4150},{"doi":1127},{"id":26,"text":4152,"url":26,"identifiers":4153},"10.1016\u002Fj.neuroimage.2004.10.044",{"doi":4152},{"id":26,"text":4155,"url":26,"identifiers":4156},"10.1006\u002Fnimg.1996.0069",{"doi":4155},{"id":26,"text":4158,"url":26,"identifiers":4159},"Mesulam M-M (2000) Principles of behavioural and cognitive neurology. New York: Oxford UP.",{"doi":4160},"10.1093\u002Foso\u002F9780195134759.001.0001",{"id":26,"text":4162,"url":26,"identifiers":4163},"10.1006\u002Fjtbi.2001.2460",{"doi":4162},{"id":26,"text":4165,"url":26,"identifiers":4166},"Percival DB, Walden AT (2000) Wavelet methods for time series analysis. Cambridge, UK: Cambridge UP.",{"doi":4167},"10.1017\u002FCBO9780511841040",{"id":26,"text":4169,"url":26,"identifiers":4170},"10.1098\u002Frstb.2005.1645",{"doi":4169},{"id":26,"text":4172,"url":26,"identifiers":4173},"10.1093\u002Fcercor\u002Fbhi016",{"doi":4172},{"id":26,"text":4175,"url":26,"identifiers":4176},"10.1385\u002FNI:2:2:145",{"doi":4175},{"id":26,"text":4178,"url":26,"identifiers":4179},"10.1016\u002Fj.tics.2004.07.008",{"doi":4178},{"id":26,"text":4181,"url":26,"identifiers":4182},"10.1016\u002Fj.neulet.2003.10.063",{"doi":4181},{"id":26,"text":4184,"url":26,"identifiers":4185},"10.1098\u002Frstb.2000.0552",{"doi":4184},{"id":26,"text":4187,"url":26,"identifiers":4188},"10.1038\u002F35065725",{"doi":4187},{"id":26,"text":4190,"url":26,"identifiers":4191},"10.1016\u002Fj.neuroimage.2003.09.056",{"doi":4190},{"id":26,"text":4193,"url":26,"identifiers":4194},"10.1016\u002FS1364-6613(98)01259-5",{"doi":4193},{"id":26,"text":4196,"url":26,"identifiers":4197},"10.1006\u002Fnimg.2001.0978",{"doi":4196},{"id":26,"text":4199,"url":26,"identifiers":4200},"10.1038\u002F30918",{"doi":4199},{"id":26,"text":4202,"url":26,"identifiers":4203},"2000, J Geophys Res, 105, 941",{},{"id":26,"text":4205,"url":26,"identifiers":4206},"Wink A-M, Bernard F, Salvador R, Bullmore E, Suckling J (2005) Age and cholinergic effects on hemodynamics and functional coherence of human hippocampus. Neurobiol Aging, in press.",{"doi":4207},"10.1016\u002Fj.neurobiolaging.2005.08.011",{"id":4209,"createTime":4210,"updateTime":4211,"relativeEntities":4212,"slug":4213,"properties":4214,"entityType":774,"verifyStatus":25,"verifyTime":4210,"verifyNote":775,"syncStatus":28,"languages":4233,"translateLanguages":4234,"viewCount":36,"primaryUrl":4235,"fullTextUrl":26,"authors":4236,"publicationType":956,"publisherRelationship":4311,"citationCount":4344,"citationInfo":4345,"publishDate":4350,"publishYear":4351,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":4352,"isForceReanalyzing":1205},"f31c204d-c708-4123-b41b-052d72117333","2024-09-20T22:18:46.869+00:00","2025-01-18T06:06:09.615+00:00",[],"Linear-Systems-Analysis-of-Functional-Magnetic-Resonance-Imaging-in-Human-V1",{"mag":4215,"keywords":4217,"pmc":4219,"openalex":4221,"abstract":4223,"title":4226,"pm":4229,"doi":4231},{"VOID":4216},"2111609296",{"VI":4218},"fMRI, mô hình biến đổi tuyến tính, hoạt động thần kinh, độ tương phản kích thích, vỏ thị giác",{"VOID":4220},"6579007",{"VOID":4222},"W2111609296",{"EN":4224,"VI":4225},"\u003Cjats:p>The linear transform model of functional magnetic resonance imaging (fMRI) hypothesizes that fMRI responses are proportional to local average neural activity averaged over a period of time. This work reports results from three empirical tests that support this hypothesis. First, fMRI responses in human primary visual cortex (V1) depend separably on stimulus timing and stimulus contrast. Second, responses to long-duration stimuli can be predicted from responses to shorter duration stimuli. Third, the noise in the fMRI data is independent of stimulus contrast and temporal period. Although these tests can not prove the correctness of the linear transform model, they might have been used to reject the model. Because the linear transform model is consistent with our data, we proceeded to estimate the temporal fMRI impulse–response function and the underlying (presumably neural) contrast–response function of human V1.\u003C\u002Fjats:p>","\u003Cjats:p>Mô hình biến đổi tuyến tính của chức năng chụp cộng hưởng từ (fMRI) giả thuyết rằng phản ứng fMRI tỷ lệ thuận với hoạt động thần kinh trung bình cục bộ được tính trung bình trong một khoảng thời gian. Công trình này báo cáo kết quả từ ba thử nghiệm thực nghiệm ủng hộ giả thuyết này. Đầu tiên, phản ứng fMRI trong vỏ thị giác chính của người (V1) phụ thuộc riêng biệt vào thời điểm kích thích và độ tương phản của kích thích. Thứ hai, phản ứng với các kích thích có thời gian dài có thể được dự đoán từ phản ứng với các kích thích có thời gian ngắn hơn. Thứ ba, nhiễu trong dữ liệu fMRI độc lập với độ tương phản của kích thích và khoảng thời gian tạm thời. Mặc dù các thử nghiệm này không thể chứng minh tính chính xác của mô hình biến đổi tuyến tính, nhưng chúng có thể đã được sử dụng để bác bỏ mô hình. Bởi vì mô hình biến đổi tuyến tính phù hợp với dữ liệu của chúng tôi, chúng tôi đã tiến hành ước lượng hàm phản ứng xung fMRI theo thời gian và hàm phản ứng theo độ tương phản (có thể là thần kinh) dưới đây của V1 của người.",{"EN":4227,"VI":4228},"Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1","Phân Tích Hệ Thống Tuyến Tính Của Chức Năng Chụp Cộng Hưởng Từ (fMRI) Trong Vùng V1 Của Người",{"VOID":4230},"8753882",{"VOID":4232},"10.1523\u002Fjneurosci.16-13-04207.1996",[102],[101],"https:\u002F\u002Fwww.jneurosci.org\u002Flookup\u002Fdoi\u002F10.1523\u002FJNEUROSCI.16-13-04207.1996",[4237,4255,4277,4294],{"id":4238,"sortIndex":114,"researcher":26,"roles":4239,"affiliations":4240,"properties":4251},"8f7fbe43-86dc-490a-81e9-764d35498b48",[],[4241],{"id":4242,"sortIndex":36,"affiliation":4243,"properties":26},"b8f72de5-b9c5-4df1-ab74-b781fc843637",{"id":4244,"createTime":4245,"updateTime":4245,"relativeEntities":4246,"slug":4247,"properties":4248,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"ee7e5e44-e112-45c1-82c5-725adf560b33","2024-09-20T22:18:46.905+00:00",[],"Diagnostic-Radiology-Stanford-University-Stanford-California-94305",{"title":4249},{"EN":4250},"Diagnostic Radiology, Stanford University, Stanford, California 94305",{"openalex":4252,"orcid":4253,"title":4254},{"VOID":905},{"VOID":907},{"EN":909},{"id":4256,"sortIndex":115,"researcher":26,"roles":4257,"affiliations":4258,"properties":4270},"409dd054-bea9-466d-9541-33be02e2194c",[],[4259],{"id":4260,"sortIndex":36,"affiliation":4261,"properties":26},"0f204370-c8cc-488e-81a0-f5f630bdf464",{"id":4262,"createTime":4263,"updateTime":4264,"relativeEntities":4265,"slug":4266,"properties":4267,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"70a3e9dd-c68e-45d8-9e86-a754b51fd86d","2024-08-31T05:44:44.281+00:00","2024-09-25T15:16:20.451+00:00",[],"Departments-of-Psychology-and",{"title":4268},{"EN":4269},"Departments of Psychology, and",{"openalex":4271,"orcid":4273,"title":4275},{"VOID":4272},"A5025695076",{"VOID":4274},"https:\u002F\u002Forcid.org\u002F0000-0002-5241-6433",{"EN":4276},"Stephen A. 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(Oxford UP, New York).",{},{"id":26,"text":4363,"url":26,"identifiers":4364},"10.1002\u002Fmrm.1910300204",{"doi":4363},{"id":26,"text":4366,"url":26,"identifiers":4367},"10.1097\u002F00004424-199201000-00012",{"doi":4366},{"id":26,"text":4369,"url":26,"identifiers":4370},"10.1017\u002FS0952523800006258",{"doi":4369},{"id":26,"text":4372,"url":26,"identifiers":4373},"10.1126\u002Fscience.8191289",{"doi":4372},{"id":26,"text":4375,"url":26,"identifiers":4376},"10.1113\u002Fjphysiol.1981.sp013875",{"doi":4375},{"id":26,"text":4378,"url":26,"identifiers":4379},"10.1016\u002F0042-6989(83)90113-X",{"doi":4378},{"id":26,"text":4381,"url":26,"identifiers":4382},"10.1016\u002F0006-8993(86)90036-3",{"doi":4381},{"id":26,"text":4384,"url":26,"identifiers":4385},"10.1016\u002F0165-0270(94)90191-0",{"doi":4384},{"id":26,"text":4387,"url":26,"identifiers":4388},"Engel SA, Wandell BA (1996) The spatial properties of the fmri signal in human visual cortex. Cereb Cortex, in press.",{},{"id":26,"text":4390,"url":26,"identifiers":4391},"10.1016\u002F0042-6989(93)90079-C",{"doi":4390},{"id":26,"text":4393,"url":26,"identifiers":4394},"10.1002\u002Fhbm.460010207",{"doi":4393},{"id":26,"text":4396,"url":26,"identifiers":4397},"10.1002\u002Fmrm.1910350312",{"doi":4396},{"id":26,"text":4399,"url":26,"identifiers":4400},"10.1073\u002Fpnas.88.24.11559",{"doi":4399},{"id":26,"text":4402,"url":26,"identifiers":4403},"10.1017\u002FS0952523800009640",{"doi":4402},{"id":26,"text":4405,"url":26,"identifiers":4406},"Heeger, 1993, Modeling simple cell direction selectivity with normalized, half-squared, linear operators., J Neurophysiol, 70, 1885, 10.1152\u002Fjn.1993.70.5.1885",{"doi":4407},"10.1152\u002Fjn.1993.70.5.1885",{"id":26,"text":4409,"url":26,"identifiers":4410},"Lange N, Zeger SL (1996) Non-linear Fourier analysis of magnetic resonance functional neuroimage time series. J R Stat Soc [B], in press.",{},{"id":26,"text":4412,"url":26,"identifiers":4413},"10.1364\u002FJOSA.70.001458",{"doi":4412},{"id":26,"text":4415,"url":26,"identifiers":4416},"10.1007\u002FBF00332911",{"doi":4415},{"id":26,"text":4418,"url":26,"identifiers":4419},"10.1016\u002F0042-6989(73)90201-0",{"doi":4418},{"id":26,"text":4421,"url":26,"identifiers":4422},"10.1126\u002Fscience.272.5261.551",{"doi":4421},{"id":26,"text":4424,"url":26,"identifiers":4425},"Menon, 1995, BOLD-based functional MRI at 4 tesla includes a capillary bed contribution: echo-planar imaging correlates with previous optical imaging using intrinsic signals., Magn Reson Med, 1995, 453, 10.1002\u002Fmrm.1910330323",{"doi":4426},"10.1002\u002Fmrm.1910330323",{"id":26,"text":4428,"url":26,"identifiers":4429},"10.1002\u002Fmrm.1910280204",{"doi":4428},{"id":26,"text":4431,"url":26,"identifiers":4432},"Moseley, 1995, Functional MR imaging., Funct Neuroimaging, 5, 161",{},{"id":26,"text":4434,"url":26,"identifiers":4435},"10.1002\u002Fmrm.1910160103",{"doi":4434},{"id":26,"text":4437,"url":26,"identifiers":4438},"10.1038\u002F298266a0",{"doi":4437},{"id":26,"text":4440,"url":26,"identifiers":4441},"Ohzawa, 1985, Contrast gain control in the cat’s visual system., J Neurophysiol, 54, 651, 10.1152\u002Fjn.1985.54.3.651",{"doi":4442},"10.1152\u002Fjn.1985.54.3.651",{"id":26,"text":4444,"url":26,"identifiers":4445},"Poirson, 1995, Contrast adaptation and masking in macaque V1., Soc Neurosci Abstr, 21, 22",{},{"id":26,"text":4447,"url":26,"identifiers":4448},"10.1017\u002FS0952523800003527",{"doi":4447},{"id":26,"text":4450,"url":26,"identifiers":4451},"Savoy RL, Bandettini PA, O’Craven KM, Kwong KK, Davis TL, Baker JR, Weisskopf RM, Rosen BR (1995) Pushing the temporal resolution of fmri: studies of very brief visual stimuli, onset variability and asynchrony, and stimulus-correlated changes in noise. Program of SMR presented at 3d Annual Meeting, Nice, France.",{},{"id":26,"text":4453,"url":26,"identifiers":4454},"10.1016\u002F0042-6989(90)90123-3",{"doi":4453},{"id":26,"text":4456,"url":26,"identifiers":4457},"Tolhurst, 1980, Nonlinearities of temporal summation in neurones in area 17 of the cat., Exp Brain Res, 38, 431, 10.1007\u002FBF00237523",{"doi":4458},"10.1007\u002FBF00237523",{"id":26,"text":4460,"url":26,"identifiers":4461},"10.1523\u002FJNEUROSCI.15-04-03215.1995",{"doi":4460},{"id":26,"text":4463,"url":26,"identifiers":4464},"Zheng, 1991, Specialized vascularization of the primate visual cortex., J Neurosci, 1991, 2622, 10.1523\u002FJNEUROSCI.11-08-02622.1991",{"doi":4465},"10.1523\u002FJNEUROSCI.11-08-02622.1991"]