Functional network abnormalities consistent with behavioral profile in Autism Spectrum Disorder
Autor: | René M.H. Besseling, Jan W. M. Bergmans, Britt E. J. Michels, Stephan Heunis, Bert Aldenkamp, Anton J.A. de Louw, Rolf Lamerichs, AG Anton Tijhuis |
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Přispěvatelé: | RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Klinische Neurowetenschappen, Signal Processing Systems, Electromagnetics, Biomedical Engineering |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Male
medicine.medical_specialty genetic structures Connectome/methods Adolescent Autism Spectrum Disorder Neuroscience (miscellaneous) CHILDREN Audiology SDG 3 – Goede gezondheid en welzijn behavioral disciplines and activities 03 medical and health sciences 0302 clinical medicine Neurodevelopmental disorder SDG 3 - Good Health and Well-being Social cognition mental disorders medicine Connectome Humans BRAIN ACTIVATION 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Asperger Syndrome Child Default mode network EPILEPSY medicine.diagnostic_test Autism Spectrum Disorder/diagnostic imaging 05 social sciences Brain Magnetic resonance imaging medicine.disease Network dynamics Brain/diagnostic imaging Nerve Net/diagnostic imaging Magnetic Resonance Imaging Functional imaging Psychiatry and Mental health Autism spectrum disorder FMRI Autism Female Asperger Syndrome/diagnostic imaging Nerve Net Psychology 030217 neurology & neurosurgery 050104 developmental & child psychology BOLD |
Zdroj: | Psychiatry Research-Neuroimaging, 275, 43-48. Elsevier Ireland Ltd Psychiatry Research. Neuroimaging, 275, 43-48. Elsevier |
ISSN: | 0925-4927 |
DOI: | 10.1016/j.pscychresns.2018.02.006 |
Popis: | Autism spectrum disorder (ASD) is a neurodevelopmental disorder in which the severity of symptoms varies over subjects. The iCAPs model (innovation-driven co-activation patterns) is a recently developed spatio-temporal model to describe fMRI data. In this study, the iCAPs model was employed to find functional imaging biomarkers for ASD in resting-state fMRI data. MRI data from 125 ASD patients and 243 healthy controls was selected from the online ABIDE data repository. Following standard fMRI preprocessing steps, the iCAP patterns were fitted to the data to obtain network time series. Furthermore, specific combinations of iCAPs were mapped to behavioral domain time series. To quantify to which extent the time series contribute to the fMRI dynamics, their (temporal) standard deviation was calculated and compared between patients and controls. Abnormalities were found in networks involving subcortical and limbic areas and default mode network regions. When mapping the network dynamics to behavioral domain time series, abnormalities were found in emotional and visual behavioral subdomains, and within the ASD spectrum were more pronounced in subjects with autism compared to Asperger's syndrome. Also a trend towards impairment in networks facilitating social cognition was found. The functional imaging abnormalities are consistent with the behavioral impairments typical for ASD. |
Databáze: | OpenAIRE |
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