Nội dung được dịch bởi AI, chỉ mang tính chất tham khảo
Hiện Tượng Mỏng Xuống Của Thể Võ Nguyên Ở Người Lớn Bị Rối Loạn Phổ Tự Kỷ
Journal of Autism and Developmental Disorders - Trang 1-14 - 2022
Tóm tắt
Do võng mạc có nguồn gốc phôi thai chung với hệ thần kinh trung ương, chụp cắt lớp quang học (OCT), một kỹ thuật hình ảnh thường được sử dụng trong nhãn khoa để phân tích độ dày và thể tích của điểm vàng và lớp nhân ngoài (ONL), đã trở nên ngày càng quan trọng trong nghiên cứu tâm thần. Chúng tôi đã khảo sát 34 người lớn tự kỷ và 31 người lớn không tự kỷ (NT) bằng cách sử dụng OCT. Những người lớn tự kỷ có độ dày và thể tích tổng thể của điểm vàng và lớp nhân ngoài (ONL) giảm so với nhóm NT. Cả độ dày của điểm vàng và ONL đều cho thấy mối liên hệ ngược rõ rệt với mức độ nghiêm trọng của các triệu chứng tự kỷ được đo bằng Thang Đo Lường Đáp Ứng Xã Hội 2 (SRS-2). Các nghiên cứu theo chiều dài trên các nhóm tuổi khác nhau là cần thiết để làm rõ liệu những thay đổi ở võng mạc có thể đại diện cho dấu hiệu đặc trưng nào đó.
Từ khóa
#Rối loạn phổ tự kỷ #chụp cắt lớp quang học #võng mạc #độ dày #triệu chứng tự kỷ #Thang Đo Lường Đáp Ứng Xã Hội 2Tài liệu tham khảo
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). American Psychiatric Association. https://doi.org/10.1176/appi.books.9780890425596
Aytulun, A., Cruz-Herranz, A., Aktas, O., Balcer, L. J., Balk, L., Barboni, P., Blanco, A. A., Calabresi, P. A., Costello, F., Sanchez-Dalmau, B., DeBuc, D. C., Feltgen, N., Finger, R. P., Frederiksen, J. L., Frohman, E., Frohman, T., Garway-Heath, D., Gabilondo, I., Graves, J. S., … Albrecht, P. (2021). APOSTEL 2.0 recommendations for reporting quantitative optical coherence tomography studies. Neurology, 97(2), 68–79. https://doi.org/10.1212/WNL.0000000000012125
Bach, M. (2007). The Freiburg visual acuity test—variability unchanged by post-hoc re-analysis. Graefe’s Archive for Clinical and Experimental Ophthalmology, 245(7), 965–971. https://doi.org/10.1007/s00417-006-0474-4
Bagci, A. M., Shahidi, M., Ansari, R., Blair, M., Blair, N. P., & Zelkha, R. (2008). Thickness profiles of retinal layers by optical coherence tomography image segmentation. American Journal of Ophthalmology, 146(5), 679-687.e1. https://doi.org/10.1016/j.ajo.2008.06.010
Baron-Cohen, S., & Wheelwright, S. (2004). The empathy quotient: An investigation of adults with Asperger syndrome or high functioning autism, and normal sex differences. Journal of Autism and Developmental Disorders, 34(2), 163–175. https://doi.org/10.1023/B:JADD.0000022607.19833.00
Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., & Clubley, E. (2001). The autism-spectrum quotient (AQ): Evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians. Journal of Autism and Developmental Disorders, 31(1), 5–17. https://doi.org/10.1023/a:1005653411471
Beck, A. T., Steer, R. A., Ball, R., & Ranieri, W. (1996). Comparison of beck depression inventories -IA and -II in psychiatric outpatients. Journal of Personality Assessment, 67(3), 588–597. https://doi.org/10.1207/s15327752jpa6703_13
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B (methodological), 57(1), 289–3006.
Ben-Shachar, M. S., Lüdecke, D., & Makowski, D. (2020). Effectsize: Estimation of effect size indices and standardized parameters. Journal of Open Source Software, 5(56), 2815. https://doi.org/10.21105/joss.02815
Best, D. J., & Roberts, D. E. (1975). Algorithm AS 89: The upper tail probabilities of Spearman’s Rho. Applied Statistics, 24(3), 377. https://doi.org/10.2307/2347111
Bigler, E. D., Abildskov, T. J., Petrie, J. A., Johnson, M., Lange, N., Chipman, J., Lu, J., McMahon, W., & Lainhart, J. E. (2010). Volumetric and voxel-based morphometry findings in autism subjects with and without macrocephaly. Developmental Neuropsychology, 35(3), 278–295. https://doi.org/10.1080/87565641003696817
Chan, V. T. T., Sun, Z., Tang, S., Chen, L. J., Wong, A., Tham, C. C., Wong, T. Y., Chen, C., Ikram, M. K., Whitson, H. E., Lad, E. M., Mok, V. C. T., & Cheung, C. Y. (2019). Spectral-Domain OCT measurements in Alzheimer’s disease: A systematic review and meta-analysis. Ophthalmology, 126(4), 497–510. https://doi.org/10.1016/j.ophtha.2018.08.009
Chew, E. Y. (1996). Association of elevated serum lipid levels with retinal hard exudate in diabetic retinopathy: Early treatment diabetic retinopathy study (ETDRS) report 22. Archives of Ophthalmology, 114(9), 1079. https://doi.org/10.1001/archopht.1996.01100140281004
Chua, S. Y. L., Lascaratos, G., Atan, D., Zhang, B., Reisman, C., Khaw, P. T., Smith, S. M., Matthews, P. M., Petzold, A., Strouthidis, N. G., Foster, P. J., Khawaja, A. P., Patel, P. J., The UK Biobank Eye, Vision Consortium. (2021). Relationships between retinal layer thickness and brain volumes in the UK Biobank cohort. European Journal of Neurology, 28(5), 1490–1498. https://doi.org/10.1111/ene.14706
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.
Conciatori, M., Stodgell, C. J., Hyman, S. L., O’Bara, M., Militerni, R., Bravaccio, C., Trillo, S., Montecchi, F., Schneider, C., Melmed, R., Elia, M., Crawford, L., Spence, S. J., Muscarella, L., Guarnieri, V., D’Agruma, L., Quattrone, A., Zelante, L., Rabinowitz, D., … Persico, A. M. (2004). Association between the HOXA1 A218G polymorphism and increased head circumference in patients with autism. Biological Psychiatry, 55(4), 413–419. https://doi.org/10.1016/j.biopsych.2003.10.005
Constantino, J. N., Gruber C.P. (2012). Social responsiveness scale - Second Edition (SRS-2). Torrance, CA. Western Psychological Services.
Courchesne, E., Campbell, K., & Solso, S. (2011). Brain growth across the life span in autism: Age-specific changes in anatomical pathology. Brain Research, 1380, 138–145. https://doi.org/10.1016/j.brainres.2010.09.101
Cruz-Herranz, A., Balk, L. J., Oberwahrenbrock, T., Saidha, S., Martinez-Lapiscina, E. H., Lagreze, W. A., Schuman, J. S., Villoslada, P., Calabresi, P., Balcer, L., Petzold, A., Green, A. J., Paul, F., Brandt, A. U., & Albrecht, P. (2016). The APOSTEL recommendations for reporting quantitative optical coherence tomography studies. Neurology, 86(24), 2303–2309. https://doi.org/10.1212/WNL.0000000000002774
Denier, N., Steinberg, G., van Elst, L. T., & Bracht, T. (2022). The role of head circumference and cerebral volumes to phenotype male adults with autism spectrum disorder. Brain and Behavior. https://doi.org/10.1002/brb3.2460
Derogatis, L. R., & Savitz, K. L. (1999). The SCL-90-R, Brief symptom inventory, and matching clinical rating scales. The use of psychological testing for treatment planning and outcomes assessment (2nd ed., pp. 679–724). Lawrence Erlbaum Associates Publishers.
Ecker, C., Bookheimer, S. Y., & Murphy, D. G. M. (2015). Neuroimaging in autism spectrum disorder: Brain structure and function across the lifespan. The Lancet Neurology, 14(11), 1121–1134. https://doi.org/10.1016/S1474-4422(15)00050-2
Emberti Gialloreti, L., Pardini, M., Benassi, F., Marciano, S., Amore, M., Mutolo, M. G., Porfirio, M. C., & Curatolo, P. (2014). Reduction in retinal nerve fiber layer thickness in young adults with autism spectrum disorders. Journal of Autism and Developmental Disorders, 44(4), 873–882. https://doi.org/10.1007/s10803-013-1939-z
Friedel, E. B. N., Hahn, H.-T., Maier, S., Küchlin, S., Reich, M., Runge, K., Bach, M., Heinrich, S. P., Kornmeier, J., Endres, D., Ebert, D., Domschke, K., Tebartz van Elst, L., & Nickel, K. (2022a). Structural and functional retinal alterations in patients with paranoid schizophrenia. Translational Psychiatry, 12(1), 402. https://doi.org/10.1038/s41398-022-02167-7
Friedel, E. B. N., Schäfer, M., Endres, D., Maier, S., Runge, K., Bach, M., Heinrich, S. P., Ebert, D., Domschke, K., Tebartz van Elst, L., & Nickel, K. (2022b). Electroretinography in adults with high-functioning autism spectrum disorder. Autism Research, 322, 111464. https://doi.org/10.1002/aur.2823
Fydrich, T., Renneberg, B., Schmitz, B., & Wittchen, H.-U. (1997). SKID II. Strukturiertes Klinisches Interview für DSM-IV, Achse II: Persönlichkeitsstörungen. Interviewheft. Eine deutschspeachige, erw. Bearb. d. amerikanischen Originalversion d. SKID-II von: M.B. First, R.L. Spitzer, M. Gibbon, J.B.W. Williams, L. Benjamin, Göttingen, Hogrefe.
García-Medina, J. J., García-Piñero, M., del-Río-Vellosillo, M., Fares-Valdivia, J., Ragel-Hernández, A. B., Martínez-Saura, S., Cárcel-López, M. D., Zanon-Moreno, V., Pinazo-Duran, M. D., & Villegas-Pérez, M. P. (2017). Comparison of foveal, macular, and peripapillary intraretinal thicknesses between autism spectrum disorder and neurotypical subjects. Investigative Opthalmology & Visual Science, 58(13), 5819. https://doi.org/10.1167/iovs.17-22238
Garcia-Medina, J. J., Rubio-Velazquez, E., Lopez-Bernal, M. D., Parraga-Muñoz, D., Perez-Martinez, A., Pinazo-Duran, M. D., & Del-Rio-Vellosillo, M. (2020). Optical coherence tomography angiography of macula and optic nerve in autism spectrum Disorder: A pilot study. Journal of Clinical Medicine, 9(10), E3123. https://doi.org/10.3390/jcm9103123
Garway-Heath, D. F., Poinoosawmy, D., Fitzke, F. W., & Hitchings, R. A. (2000). Mapping the visual field to the optic disc in normal tension glaucoma eyes. Ophthalmology, 107(10), 1809–1815. https://doi.org/10.1016/S0161-6420(00)00284-0
Gokhale, S. G., & Gokhale, S. (2007). Genetic and evolutional mechanisms explain associated malformations—A “G-E-M” concept. Medical Hypotheses, 69(4), 879–883. https://doi.org/10.1016/j.mehy.2006.12.057
Guimarães-Souza, E. M., Joselevitch, C., Britto, L. R. G., & Chiavegatto, S. (2019). Retinal alterations in a pre-clinical model of an autism spectrum disorder. Molecular Autism, 10(1), 19. https://doi.org/10.1186/s13229-019-0270-8
Hashem, S., Nisar, S., Bhat, A. A., Yadav, S. K., Azeem, M. W., Bagga, P., Fakhro, K., Reddy, R., Frenneaux, M. P., & Haris, M. (2020). Genetics of structural and functional brain changes in autism spectrum disorder. Translational Psychiatry, 10(1), 229. https://doi.org/10.1038/s41398-020-00921-3
Hautzinger, M., Keller, F., & Kühner, C. (2006). Beck Depressions-Inventar: BDI II. Revision. Deutsche Bearbeitung von Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Beck Depression Inventory–II (BDI–II). San Antonio, TX: Harcourt Assessment Inc (Revision). Harcourt Test Services.
Hazlett, H. C., Poe, M. D., Gerig, G., Styner, M., Chappell, C., Smith, R. G., Vachet, C., & Piven, J. (2011). Early brain overgrowth in autism associated with an increase in cortical surface area before age 2 years. Archives of General Psychiatry, 68(5), 467. https://doi.org/10.1001/archgenpsychiatry.2011.39
Henry, L., & Wickham, H. (2020). purrr: Functional Programming Tools. https://CRAN.R-project.org/package=purrr
Hollander, M., & Wolfe, D. A. (1973). Nonparametric statistical methods. Wiley.
Huang, D., Swanson, E. A., Lin, C. P., Schuman, J. S., Stinson, W. G., Chang, W., Hee, M. R., Flotte, T., Gregory, K., Puliafito, C. A., & Fujimoto, J. G. (1991). Optical coherence tomography. Science, 254(5035), 1178–1181. https://doi.org/10.1126/science.1957169
Jindahra, P., Hedges, T. R., Mendoza-Santiesteban, C. E., & Plant, G. T. (2010). Optical coherence tomography of the retina: Applications in neurology. Current Opinion in Neurology, 23(1), 16–23. https://doi.org/10.1097/WCO.0b013e328334e99b
Kassambara, A. (2021). rstatix: Pipe-friendly framework for basic statistical tests. https://CRAN.R-project.org/package=rstatix
Koller, M., & Stahel, W. A. (2011). Sharpening Wald-type inference in robust regression for small samples. Computational Statistics & Data Analysis, 55(8), 2504–2515. https://doi.org/10.1016/j.csda.2011.02.014
Lehrl, S., Triebig, G., & Fischer, B. (1995). Multiple choice vocabulary test MWT as a valid and short test to estimate premorbid intelligence. Acta Neurologica Scandinavica, 91(5), 335–345.
Little, J.-A. (2018). Vision in children with autism spectrum disorder: A critical review: Vision in children with autism. Clinical and Experimental Optometry, 101(4), 504–513. https://doi.org/10.1111/cxo.12651
Lord, C., Elsabbagh, M., Baird, G., & Veenstra-Vanderweele, J. (2018). Autism spectrum disorder. The Lancet, 392(10146), 508–520. https://doi.org/10.1016/S0140-6736(18)31129-2
Maechler, M., Rousseeuw, P., Croux, C., Todorov, V., Ruckstuhl, A., Salibian-Barrera, M., Verbeke, T., Koller, M., Conceicao, E. L. T., & Palma, M. A. di. (2021). robustbase: Basic Robust Statistics. http://robustbase.r-forge.r-project.org/
Maier, S., van Elst, L. T., Perlov, E., Düppers, A. L., Nickel, K., Fangmeier, T., Endres, D., & Riedel, A. (2018). Cortical properties of adults with autism spectrum disorder and an IQ>100. Psychiatry Research: Neuroimaging, 279, 8–13. https://doi.org/10.1016/j.pscychresns.2018.06.013
Mauschitz, M. M., Lohner, V., Koch, A., Stöcker, T., Reuter, M., Holz, F. G., Finger, R. P., & Breteler, M. M. B. (2022). Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study. Scientific Reports, 12(1), 2757. https://doi.org/10.1038/s41598-022-06821-4
Mutlu, U., Bonnemaijer, P. W. M., Ikram, M. A., Colijn, J. M., Cremers, L. G. M., Buitendijk, G. H. S., Vingerling, J. R., Niessen, W. J., Vernooij, M. W., Klaver, C. C. W., & Ikram, M. K. (2017). Retinal neurodegeneration and brain MRI markers: The Rotterdam study. Neurobiology of Aging, 60, 183–191. https://doi.org/10.1016/j.neurobiolaging.2017.09.003
Mutlu, U., Colijn, J. M., Ikram, M. A., Bonnemaijer, P. W. M., Licher, S., Wolters, F. J., Tiemeier, H., Koudstaal, P. J., Klaver, C. C. W., & Ikram, M. K. (2018). Association of retinal neurodegeneration on optical coherence tomography with dementia: A population-based study. JAMA Neurology, 75(10), 1256. https://doi.org/10.1001/jamaneurol.2018.1563
Nakagawa, Y., & Chiba, K. (2016). Involvement of neuroinflammation during brain development in social cognitive deficits in autism spectrum disorder and schizophrenia. Journal of Pharmacology and Experimental Therapeutics, 358(3), 504–515. https://doi.org/10.1124/jpet.116.234476
Nguyen, C. T. O., Hui, F., Charng, J., Velaedan, S., van Koeverden, A. K., Lim, J. K. H., He, Z., Wong, V. H. Y., Vingrys, A. J., Bui, B. V., & Ivarsson, M. (2017). Retinal biomarkers provide “insight” into cortical pharmacology and disease. Pharmacology & Therapeutics, 175, 151–177. https://doi.org/10.1016/j.pharmthera.2017.02.009
Noval, S., Contreras, I., Muñoz, S., Oreja-Guevara, C., Manzano, B., & Rebolleda, G. (2011). Optical coherence tomography in multiple sclerosis and neuromyelitis optica: An update. Multiple Sclerosis International, 2011, e472790. https://doi.org/10.1155/2011/472790
Pardo, C. A., & Eberhart, C. G. (2007). The neurobiology of autism. Brain Pathology, 17(4), 434–447. https://doi.org/10.1111/j.1750-3639.2007.00102.x
Podoleanu, AGh. (2012). Optical coherence tomography. Journal of Microscopy, 247(3), 209–219. https://doi.org/10.1111/j.1365-2818.2012.03619.x
Prigge, M. B. D., Lange, N., Bigler, E. D., King, J. B., Dean, D. C., Adluru, N., Alexander, A. L., Lainhart, J. E., & Zielinski, B. A. (2021). A 16-year study of longitudinal volumetric brain development in males with autism. NeuroImage, 236, 118067. https://doi.org/10.1016/j.neuroimage.2021.118067
R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
Retz-Junginger, P., Retz, W., Blocher, D., Weijers, H.-G., Trott, G.-E., Wender, P. H., & Rössler, M. (2002). Wender Utah Rating Scale (WURS-k) Die deutsche Kurzform zur retrospektiven Erfassung des hyperkinetischen Syndroms bei Erwachsenen. Der Nervenarzt, 73(9), 830–838. https://doi.org/10.1007/s00115-001-1215-x
Riedel, A., Maier, S., Ulbrich, M., Biscaldi, M., Ebert, D., Fangmeier, T., Perlov, E., & van Elst, L. T. (2014). No significant brain volume decreases or increases in adults with high-functioning autism spectrum disorder and above average intelligence: A voxel-based morphometric study. Psychiatry Research: Neuroimaging, 223(2), 67–74. https://doi.org/10.1016/j.pscychresns.2014.05.013
Robinson, D., Hayes, A., & Couch, S. (2022). broom: Convert Statistical Objects into Tidy Tibbles. https://CRAN.R-project.org/package=broom
RStudio Team. (2022). RStudio: Integrated development environment for R. RStudio, PBC. http://www.rstudio.com/
Rubenstein, J. L. R., & Merzenich, M. M. (2003). Model of autism: Increased ratio of excitation/inhibition in key neural systems. Genes, Brain and Behavior, 2(5), 255–267. https://doi.org/10.1034/j.1601-183X.2003.00037.x
Schönfeldt-Lecuona, C., Kregel, T., Schmidt, A., Pinkhardt, E. H., Lauda, F., Kassubek, J., Connemann, B. J., Freudenmann, R. W., & Gahr, M. (2015). From imaging the brain to imaging the retina: Optical coherence tomography (OCT) in schizophrenia. Schizophrenia Bulletin, 42(1), 9–14. https://doi.org/10.1093/schbul/sbv073
Silverstein, S. M., Demmin, D. L., Schallek, J. B., & Fradkin, S. I. (2020). Measures of retinal structure and function as biomarkers in neurology and psychiatry. Biomarkers in Neuropsychiatry. https://doi.org/10.1016/j.bionps.2020.100018
Tebartz van Elst, L., Maier, S., Fangmeier, T., Endres, D., Mueller, G. T., Nickel, K., Ebert, D., Lange, T., Hennig, J., Biscaldi, M., Riedel, A., & Perlov, E. (2014). Disturbed cingulate glutamate metabolism in adults with high-functioning autism spectrum disorder: Evidence in support of the excitatory/inhibitory imbalance hypothesis. Molecular Psychiatry, 19(12), 1314–1325. https://doi.org/10.1038/mp.2014.62
Tebartz van Elst, L. (Ed.). (2021). Autismus-Spektrum-Störungen im Erwachsenenalter (3., aktualisierte und erweiterte Auflage). Berlin, MWV Medizinisch Wissenschaftliche Verlagsgesellschaft.
Wei, H., Alberts, I., & Li, X. (2014). The apoptotic perspective of autism. International Journal of Developmental Neuroscience: THe Official Journal of the International Society for Developmental Neuroscience, 36, 13–18. https://doi.org/10.1016/j.ijdevneu.2014.04.004
Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., … Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686
Wittchen, H.-U., Wunderlich, U., Gruschwitz, S., & Zaudig, M. (1997). SKID I. Strukturiertes Klinisches Interview für DSM-IV. Achse I: Psychische Störungen. Göttingen, Hogrefe.
World Medical Association. (2013). World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191. https://doi.org/10.1001/jama.2013.281053
Wu, S. M. (2010). Synaptic organization of the vertebrate retina: General principles and species-specific variations: The Friedenwald lecture. Investigative Ophthalmology & Visual Science, 51(3), 1263–1274. https://doi.org/10.1167/iovs.09-4396
