Sự phát triển của các tham số hành vi và ERPs trong một khuôn mẫu phát hiện thị giác có mục tiêu mới ở trẻ em, thanh thiếu niên và người trưởng thành trẻ tuổi

Behavioral and Brain Functions - Tập 11 - Trang 1-17 - 2015
María Ángeles Rojas-Benjumea1, Ana María Sauqué-Poggio1, Catarina I. Barriga-Paulino1, Elena I. Rodríguez-Martínez1, Carlos M. Gómez1
1Human Psychobiology Laboratory, Experimental Psychology Department, University of Seville, Sevilla, Spain

Tóm tắt

Nghiên cứu hiện tại phân tích sự phát triển của ERPs liên quan đến quá trình chọn lựa các mục tiêu dựa trên độ mới lạ của chúng. Một trăm sáu mươi bảy đối tượng từ 6 đến 26 tuổi đã được ghi nhận với 30 điện cực trong một khuôn mẫu chuyển đổi mục tiêu thị giác. Kết quả hành vi cho thấy hiệu suất tốt ở trẻ em tốt hơn theo độ tuổi: thời gian phản ứng (RTs) và lỗi đều giảm, đồng thời tham số độ nhạy d′ tăng lên theo tuổi. Bên cạnh đó, tham số thiên lệch phản ứng C đã tiến triển từ một thiên lệch bảo thủ sang thiên lệch trung tính theo tuổi. Sự tích cực lựa chọn ở vùng trán (FSP) có ý nghĩa thống kê ở tất cả các nhóm tuổi khi so sánh các tiêu chuẩn và mục tiêu. Có sự khác biệt có ý nghĩa thống kê trong sự tiêu cực lựa chọn ở vùng sau (SN) giữa các điều kiện mục tiêu và tiêu chuẩn ở tất cả các nhóm tuổi. Thành phần P3a thu được có ý nghĩa thống kê ở các nhóm thanh niên trưởng thành (18–21 tuổi) và người trưởng thành trẻ (22–26 tuổi). Sự điều biến của thành phần P3b bởi các mục tiêu mới có ý nghĩa thống kê ở tất cả các nhóm tuổi, nhưng độ lớn giảm dần theo tuổi. Thời gian đỉnh của các thành phần FSP và P3b giảm với độ tuổi. Các kết quả tiết lộ sự khác biệt trong các chỉ số ERP cho việc đánh giá nhận thức các kích thích đã trình bày, tùy thuộc vào độ tuổi của các đối tượng. Khả năng của điều kiện mục tiêu để gây ra sự điều biến của các thành phần được nghiên cứu sẽ phụ thuộc vào gradient trưởng thành của vỏ não từ sau ra trước và vào gradient trưởng thành của các vùng liên hợp từ thấp đến cao.

Từ khóa


Tài liệu tham khảo

Hillyard SA, Anllo-Vento L. Event-related brain potentials in the study of visual selective attention. Proc Natl Acad Sci U S A. 1998;95:781–7 (Colloquium paper). Wijers AA, Lamain W, Slopsema JS, Mulder G, Mulder LJM. An electrophysiological investigation of the spatial distribution of attention to colored stimuli in focused and divided attention conditions. Biol Psychol. 1989;29:213–45. Anllo-Vento L, Luck SJ, Hillyard SA. Spatio-temporal dynamics of attention to color: evidence from human electrophysiology. Hum Brain Mapp. 1998;6:216–38. Van der Stelt O, Kok A, Smulders FTY, Snel J, Gunning WB. Cerebral event-related potentials associated with selective attention to color: developmental changes from childhood to adulthood. Psychophysiol. 1998;35:227–39. Jonkman LM, Kenemans JL, Kemner C, Verbaten MN, van Engeland H. Dipole source localization of event-related brain activity indicative of an early visual selective attention deficit in ADHD children. Clin Neurophysiol. 2004;115:1537–49. Kenemans JL, Kok A, Smulders FT. Event-related potentials to conjunctions of spatial frequency and orientation as a function of stimulus parameters and response requirements. Electroencephalogr Clin Neurophysiol. 1993;88(1):51–63. Makeig S, Westerfield M, Jung TP, Covington J, Townsend J, Sejnowski TJ, Courchesne E. Functionally independent components of the late positive event-related potential during visual spatial attention. J Neurosci. 1999;19(7):2665–80. Potts GF. An ERP index of task relevance evaluation of visual stimuli. Brain Cogn. 2004;56:5–13. Oades RD, Ditteann BA, Zerbin D. Development and topography of auditory event-related potentials (ERP): mismatch and processing negativity in individuals 8–22 years of age. Psychophysiol. 1997;34:677–93. Sutton S, Brare M, Zubin J, John E. Evoked potential correlates of stimulus uncertainty. Science. 1965;150:1187–8. Duncan-Johnson C, Donchin E. On quantifying surprise: the variation in event-related potentials with subjective probability. Psychophysiol. 1977;14:456–7. Duncan-Johnson C, Donchin E. The P300 component of the event-related brain potential as an index of information processing. Biol Psychol. 1982;14:1–52. Johnson R, Donchin E. Sequential expectancies and decision-making in a changing environment: an electrophysiological approach. Psychophysiol. 1982;19:183–200. Squires KC, Wickens C, Squires NK, Donchin E. Effect of stimulus sequence on waveform of cortical event-related potential. Science. 1976;193:1142–6. Donchin E, Coles MGH. Is the P300 component a manifestation of context updating? Behav Brain Sci. 1988;11:357–74. Polich J. Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol. 2007;118:2128–48. Mangun GR, Hillyard SA. Modulations of sensory-evoked brain potentials indicate changes in perceptual processing during visual-spatial priming. J Exp Psychol Hum Percept Perform. 1991;17:1057–74. Verleger R, Jas’ Kowskis P, Wascher E. Evidence of an integrative role of P3b in linking reaction to perception. J Psychophysiol. 2005;19:150. Escera C, Alho K, Winkler I, Näätänen R. Neural mechanisms of involuntary attention to acoustic novelty and change. J Cogn Neurosci. 1998;10:590–604. Friedman D, Cycowicz YM, Gaeta H. The novelty P3: an event-related brain potential (ERP) sign of the brain’s evaluation of novelty. Neurosci Biobehav Rev. 2001;25:355–73. Dien J, Spencer KM, Donchin E. Localization of the event-related potential novelty response as defined by principal component analysis. Cogn Brain Res. 2003;17:637–50. Barcelo F, Periañez JA, Knight RT. Think differently: a brain orienting response to task novelty. NeuroReport. 2002;13(15):1887–92. Barcelo F, Escera C, Corral MJ, Perianez JA. Task switching and novelty processing activate a common neural network for cognitive control. J Cogn Neurosci. 2006;18(10):1734–48. Gómez CM, Flores A, Digiacomo MR, Ledesma A, González-Rosa J. P3a and P3b components associated to the neurocognitive evaluation of invalidly cued targets. Neurosci Lett. 2008;430:181–5. Digiacomo MR, Marco-Pallarés J, Flores AB, Gómez CM. Wavelet analysis of the EEG during the neurocognitive evaluation of invalidly cued targets. Brain Res. 2008;1234:94–103. Knight RT, Scabini D. Anatomic bases of event-related potentials and their relationship to novelty detection in humans. J Clin Neurophysiol. 1998;15:3–13. Lovstad M, Funderud I, Lindgren M, Endestad T, Due-Tønnessen P, Meling T, Voytek B, Knight RT, Solbakk A-K. Contribution of subregions of human frontal cortex to novelty processing. J Cogn Neurosci. 2012;24(2):378–95. Bledowski C, Prvulovic D, Hoechstetter K, et al. Localizing P300 generators in visual target and distractor processing: a combined event-related potential and functional magnetic resonance imaging study. J Neurosci. 2004;24:9353–60. Määttä S, Saavalainen P, Könönen M, Pääkkönen A, Muraja-Murro A, Partanen J. Processing of highly novel auditory events in children and adults: an event-related potential study. Neuroreport. 2005;16:1443–6. Fuchigami T, Okubo O, Ejiri K, Fujita Y, Kohira R, et al. Developmental changes in P300 wave elicited during two different experimental conditions. Pediatr Neurol. 1995;13(1):25–8. Segalowitz SJ, Davies PL. Charting the maturation of the frontal lobe: an electrophysiological strategy. Brain Cogn. 2004;55:16–33. Gumenyuk V, Korzyukov O, Alho K, Escera C, Näätänen R. Effects of auditory distraction on electrophysiological brain activity and performance in children aged 8–13 years. Psychophysiol. 2004;41:30–6. Wetzel N, Schröger E. Modulation of involuntary attention by the duration of novel and pitch deviant sounds in children and adolescents. Biol Psychol. 2007;75:24–31. Putkinen V, Niinikuru R, Lipsanen J, Tervaniemi M, Huotilainen M. Fast measurement of auditory event-related potential profiles in 2–3-year-olds. Dev Neuropsychol. 2012;37(1):51–75. Wetzel N, Schröger E. On the development of auditory distraction: a review. Psych Journal. 2014;3:72–91. Segalowitz SJ, Santesso DL, Jetha MK. Electrophysiological changes during adolescence: a review. Brain Cogn. 2010;72(1):86–100. Stige S, Fjell AM, Smith L, Lindgren M, Walhovd KB. The development of visual P3a and P3b. Dev Neuropsychol. 2007;32(1):563–84. Courchesne E. Neurophysiological correlates of cognitive development: changes in long latency event-related potentials from childhood to adulthood. Electroencephal Clin Neurophysiol. 1978;45:468–82. Ridderinkhof KR, Van der Stelt O. Attention and selection in the growing child: views derived from developmental psychophysiology. Biol Psych. 2000;54:55–106. Giedd JN, Lalonde FM, Celano MJ, White SL, Wallace GL, Lee NR, Lenroot RK. Anatomical brain magnetic resonance imaging of typically developing children and adolescents. J Am Acad Child Psy. 2009;48(5):465–70. Bender S, Weisbrod M, Bornfleth H, Resch F, Oelkers-Ax R. How do children prepare to react? Imaging maturation of motor preparation and stimulus anticipation by late contingent negative variation. Neuroimage. 2005;27:737–52. Flores A, Digiacomo MR, Meneres S, Trigo E, Gómez CM. Development of preparatory activity indexed by the contingent negative variation in children. Brain Cogn. 2009;71:129–40. Chiarenza GA, Papakostopoulos D, Giordana F, Guareschi-Cazzullo A. Movement-related brain macropotentials during skilled performances. A developmental study. EEG and Clin Neurophysiol. 1983;56:373–83. Barriga-Paulino CI, Rodríguez-Martínez EI, Rojas-Benjumea MA, Gómez CM. Slow wave maturation on a visual working memory task. Brain Cogn. 2014;88:43–54. Stanislaw H, Todorov N. Calculation of signal detection theory measures. Behav Res Meth, Ins C. 1999;31(1):137–49. Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Meth. 2004;134(1):9–21. Oken BS. Endogenous event-related potentials. In: Chiappa KH, editor. Evoked potentials in clinical medicine. 3rd ed. Philadelphia: Lippincott-Raven; 1997. p. 529–64. Bell AJ, Sejnowski TJ. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 1995;7:1129–59. Barriga-Paulino CI, Flores AB, Gómez CM. Developmental changes in the EEG rhythms of children and young adults analyzed by means of correlational, brain topography and principal component analysis. J Psychophysiol. 2011;25(3):143–58. Rodríguez-Martínez EI, Barriga-Paulino CI, Zapata MI, Chinchilla C, López-Jiménez AM, Gómez CM. Narrow band quantitative and multivariate electroencephalogram analysis of peri-adolescent period. BMC Neurosci. 2012;13:104. Rodríguez-Martínez EI, Barriga-Paulino CI, Rojas-Benjumea MA, Gómez CM. Co-maturation of theta and low-beta rhythms during child development. Brain Topogr. 2015;28:250–60. Thomas KM, Nelson CA. Age-related changes in the electrophysiological response to visual stimulus novelty: a topographical approach. Electroencephalogr Clin Neurophysiol. 1996;98(4):294–308. Plude DJ, Enns JT, Brodeur D. The development of selective attention: a life-span overview. Acta Psychol. 1994;86:227–72. Luna B, Garver E, Urban TA, Lazar NA, Sweeney JA. Maturation of cognitive processes from late childhood to adulthood. Child Dev. 2004;75(5):1357–75. Benjamin R, Hultsch DF, Strauss EH, Hunter MA, Tannock RW. Inconsistency in reaction time across the life span. Neuropsychol. 2005;19(1):88–96. Papenberg G, Hämmerer D, Müller V, Lindenberger U, Li S-C. Lower theta inter trial phase coherence during performance monitoring is related to higher reaction time variability: a lifespan study. NeuroImage. 2013;83:912–20. Day MC. Visual search by children: the effect of background variation and the use of visual cues. J Exp Child Psychol. 1978;25:1–16. Baranov-Krylov IN, Kuznetsova TG, Ratnikova VK. Attention parameters in visual search task in different age groups. Neurosci Behav Physiol. 2009;39(5):481–2. Rojas-Benjumea MA, Quintero-Gallego E, Zozaya L, Barriga-Paulino CI, Gómez CM. Children cautious strategy and variable maturation time window for responding in a visual search task. Psychol. 2013;4(1):19–32. Liu S, Anzures G, Ge L, Quinn PC, Pascalis O, Slater AM, Tanaka JW, Lee K. Development of recognition of face parts from unfamiliar faces. Infant Child Dev. 2013;22(2):165–79. Van der Stelt O, van der Molen M, Gunningb WB, Koka A. Neuroelectrical signs of selective attention to color in boys with attention-deficit hyperactivity disorder. Cognitive Brain Res. 2001;12:245–64. Flores AB, Gómez CM, Meneres S. Evaluation of spatial validity-invalidity effects by the P300 component in children and young adults. Brain Res Bull. 2010;81:525–33. Yamazaki T, Kamijo K, Kenmochi A, et al. Multiple equivalent current dipole source localization of visual event-related potentials during oddball paradigm with motor response. Brain Topogr. 2000;12:159–75. Moores KA, Clark RC, Hadfield JL, et al. Investigating the generators of the scalp recorded visuo-verbal P300 using cortically constrained source localization. Hum Brain Mapp. 2003;18:53–77. Van Leeuwen TH, Steinhausen HC, Overtoom CC, Pascual-Marqui RD, Van’t Klooster B, Rothenberger A, et al. The continuous performance test revisited with neuroelectric mapping: impaired orienting in children with attention deficits. Behav Brain Res. 1998;94:97–110. Rohrbaugh JW, Syndulko K, Lindsley DB. Cortical slow negative waves following non-paired stimuli: effects of modality, intensity and rate of stimulation. Electroencephalogr Clin Neurophysiol. 1979;46:416–27. Yakovlev PI, Lecours A. The myelogenetic cycles of regional maturation of the brain. In: Minkowski A, editor. Regional development of the brain in early life. Oxford: Blackwell; 1967. p. 3–70. Huttenlocher PR. Synaptic density in human frontal cortex–developmental changes and effects of aging. Brain Res. 1979;163:195–205. Goldman-Rakic PS. Functional development of the prefrontal cortex in early life and the problem of neuronal plasticity. Exp Neurol. 1971;32:366–87.