Brain resting-state networks in adolescents with high-functioning autism: Analysis of spatial connectivity and temporal neurodynamics
Autor: | Marc P. H. Hendriks, Frans M. J. Willems, Svitlana Zinger, Walter H. Backes, Roy P. C. Kessels, Albert P. Aldenkamp, Evelien M. Barendse, Antoine Bernas, Paul A. M. Hofman, Jacobus F.A. Jansen |
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Přispěvatelé: | RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Klinische Neurowetenschappen, Beeldvorming, MUMC+: DA BV Klinisch Fysicus (9), MUMC+: DA BV Medisch Specialisten Radiologie (9), Video Coding & Architectures, Signal Processing Systems, Biomedical Diagnostics Lab |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Male
resting‐state brain connectivity Alzheimer`s disease Donders Center for Medical Neuroscience [Radboudumc 1] Connectome/methods Emotions CHILDREN Brain mapping Autism Spectrum Disorder/physiopathology Magnetic Resonance Imaging/methods Behavioral Neuroscience Cognition 0302 clinical medicine Cognition/physiology Original Research Brain Mapping medicine.diagnostic_test 05 social sciences high‐functioning autism Nerve Net/diagnostic imaging Magnetic Resonance Imaging Temporal Lobe high-functioning autism Autism spectrum disorder Connectome Granger causality functional MRI Female Psychology MRI Adolescent temporal neurodynamics Prefrontal Cortex autism spectrum disorder resting-state brain connectivity SPECTRUM DISORDERS GRANGER CAUSALITY ANALYSIS behavioral disciplines and activities 050105 experimental psychology Temporal Lobe/diagnostic imaging Temporal lobe 03 medical and health sciences All institutes and research themes of the Radboud University Medical Center WORKING-MEMORY Spatio-Temporal Analysis mental disorders Brain Mapping/methods medicine Humans Prefrontal Cortex/diagnostic imaging 0501 psychology and cognitive sciences Neuro- en revalidatiepsychologie Resting state fMRI INDEPENDENT COMPONENT ANALYSIS IDENTIFICATION Neuropsychology and rehabilitation psychology Plasticity and Memory [DI-BCB_DCC_Theme 3] ADULTS autism spectrum disorder functional MRI Granger causality high-functioning autism independent component analysis resting-state brain connectivity temporal neurodynamics medicine.disease High-functioning autism Emotions/physiology PATTERNS Autism INFERENCE Nerve Net Functional magnetic resonance imaging Neuroscience 030217 neurology & neurosurgery |
Zdroj: | Brain and Behavior, 8(2):e00878. John Wiley & Sons Inc. Brain and Behavior, 8, 2, pp. Brain and Behavior, 8, Brain and Behavior, 8(2):e00878. Wiley Brain and Behavior |
ISSN: | 2162-3279 |
Popis: | Contains fulltext : 183400.pdf (Publisher’s version ) (Open Access) Introduction: Autism spectrum disorder (ASD) is mainly characterized by functional and communication impairments as well as restrictive and repetitive behavior. The leading hypothesis for the neural basis of autism postulates globally abnormal brain connectivity, which can be assessed using functional magnetic resonance imaging (fMRI). Even in the absence of a task, the brain exhibits a high degree of functional connectivity, known as intrinsic, or resting-state, connectivity. Global default connectivity in individuals with autism versus controls is not well characterized, especially for a high-functioning young population. The aim of this study is to test whether high-functioning adolescents with ASD (HFA) have an abnormal resting-state functional connectivity. Materials and Methods: We performed spatial and temporal analyses on resting-state networks (RSNs) in 13 HFA adolescents and 13 IQ- and age-matched controls. For the spatial analysis, we used probabilistic independent component analysis (ICA) and a permutation statistical method to reveal the RSN differences between the groups. For the temporal analysis, we applied Granger causality to find differences in temporal neurodynamics. Results: Controls and HFA display very similar patterns and strengths of resting-state connectivity. We do not find any significant differences between HFA adolescents and controls in the spatial resting-state connectivity. However, in the temporal dynamics of this connectivity, we did find differences in the causal effect properties of RSNs originating in temporal and prefrontal cortices. Conclusion: The results show a difference between HFA and controls in the temporal neurodynamics from the ventral attention network to the salience-executive network: a pathway involving cognitive, executive, and emotion-related cortices. We hypothesized that this weaker dynamic pathway is due to a subtle trigger challenging the cognitive state prior to the resting state. 10 p. |
Databáze: | OpenAIRE |
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