Development of cortical thickness and surface area in autism spectrum disorder
Autor: | Sarah Durston, René C.W. Mandl, Bob Oranje, Sarai van Dijk, Vincent T. Mensen, Yvonne Rijks, Lara M. Wierenga |
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Rok vydání: | 2017 |
Předmět: |
Adult
Male 0301 basic medicine Adolescent Cognitive Neuroscience Clinical Neurology Surface area Development Social stimuli Cognitive neuroscience lcsh:Computer applications to medicine. Medical informatics Cortical volume lcsh:RC346-429 Cortical thickness Young Adult 03 medical and health sciences 0302 clinical medicine Neurodevelopmental disorder Cortex (anatomy) Journal Article medicine Humans Radiology Nuclear Medicine and imaging Longitudinal Studies Autism spectrum disorder Child 10. No inequality lcsh:Neurology. Diseases of the nervous system Cerebral Cortex Regular Article Superior temporal sulcus medicine.disease Magnetic Resonance Imaging 030104 developmental biology medicine.anatomical_structure Neurology Radiology Nuclear Medicine and imaging Cerebral cortex Cortex lcsh:R858-859.7 Female Neurology (clinical) Psychology Neuroscience 030217 neurology & neurosurgery MRI |
Zdroj: | NEUROIMAGE-CLINICAL, 13, 215-222 NeuroImage : Clinical NeuroImage: Clinical, Vol 13, Iss C, Pp 215-222 (2017) Neuroimage: Clinical [E], 13, 215. Elsevier BV |
ISSN: | 2213-1582 |
DOI: | 10.1016/j.nicl.2016.12.003 |
Popis: | Autism spectrum disorder (ASD) is a neurodevelopmental disorder often associated with changes in cortical volume. The constituents of cortical volume – cortical thickness and surface area – have separable developmental trajectories and are related to different neurobiological processes. However, little is known about the developmental trajectories of cortical thickness and surface area in ASD. In this magnetic resonance imaging (MRI) study, we used an accelerated longitudinal design to investigate the cortical development in 90 individuals with ASD and 90 typically developing controls, aged 9 to 20 years. We quantified cortical measures using the FreeSurfer software package, and then used linear mixed model analyses to estimate the developmental trajectories for each cortical measure. Our primary finding was that the development of surface area follows a linear trajectory in ASD that differs from typically developing controls. In typical development, we found a decline in cortical surface area between the ages of 9 and 20 that was absent in ASD. We found this pattern in all regions where developmental trajectories for surface area differed between groups. When we applied a more stringent correction that takes the interdependency of measures into account, this effect on cortical surface area retained significance for left banks of superior temporal sulcus, postcentral area, and right supramarginal area. These areas have previously been implicated in ASD and are involved in the interpretation and processing of audiovisual social stimuli and distinction between self and others. Although some differences in cortical volume and thickness were found, none survived the more stringent correction for multiple testing. This study underscores the importance of distinguishing between cortical surface area and thickness in investigating cortical development, and suggests the development of cortical surface area is of importance to ASD. Highlights • Cortical development differs between ASD and typical development in adolescence. • These are primarily differences in the development of cortical surface area. • In most regions surface area decreases for controls, not for individuals with ASD. • After stringent multiple testing correction, this pattern held for three regions. • The development of cortical surface area is relevant to ASD during adolescence. |
Databáze: | OpenAIRE |
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