TY - JOUR
T1 - Altered Connectivity Between Cerebellum, Visual, and Sensory-Motor Networks in Autism Spectrum Disorder
T2 - Results from the EU-AIMS Longitudinal European Autism Project
AU - Oldehinkel, Marianne
AU - Mennes, Maarten
AU - Marquand, Andre
AU - Charman, Tony
AU - Tillmann, Julian
AU - Ecker, Christine
AU - Dell’acqua, Flavio
AU - Brandeis, Daniel
AU - Banaschewski, Tobias
AU - Baumeister, Sarah
AU - Moessnang, Carolin
AU - Holt, Rosemary
AU - Baron-cohen, Simon
AU - Bölte, Sven
AU - Durston, Sarah
AU - Kundu, Prantik
AU - Lombardo, Michael V.
AU - Spooren, Will
AU - Loth, Eva
AU - Murphy, Declan G.M.
AU - Beckmann, Christian F.
AU - Buitelaar, Jan K.
AU - EU-AIMS LEAP group
AU - Ahmad, Jumana
AU - Ambrosino, Sara
AU - Auyeung, Bonnie
AU - Banaschewski, Tobias
AU - Baron-cohen, Simon
AU - Baumeister, Sarah
AU - Beckmann, Christian F.
AU - Bölte, Sven
AU - Bourgeron, Thomas
AU - Bours, Carsten
AU - Brammer, Michael
AU - Brandeis, Daniel
AU - Brogna, Claudia
AU - Charman, Tony
AU - Crawley, Daisy
AU - Ecker, Christine
AU - Faulkner, Jessica
AU - Hayward, Hannah
AU - Loth, Eva
AU - Lythgoe, David J.
AU - Marquand, Andre
AU - Murphy, Declan G.m.
AU - Oakley, Bethany
AU - Ruggeri, Barbara
AU - San José Cáceres, Antonia
AU - Simonoff, Emily
AU - Tillmann, Julian
AU - Williams, Steve C.R.
PY - 2019/3
Y1 - 2019/3
N2 - BackgroundResting-state functional magnetic resonance imaging–based studies on functional connectivity in autism spectrum disorder (ASD) have generated inconsistent results. Interpretation of findings is further hampered by small samples and a focus on a limited number of networks, with networks underlying sensory processing being largely underexamined. We aimed to comprehensively characterize ASD-related alterations within and between 20 well-characterized resting-state networks using baseline data from the EU-AIMS (European Autism Interventions—A Multicentre Study for Developing New Medications) Longitudinal European Autism Project.MethodsResting-state functional magnetic resonance imaging data was available for 265 individuals with ASD (7.5–30.3 years; 73.2% male) and 218 typically developing individuals (6.9–29.8 years; 64.2% male), all with IQ > 70. We compared functional connectivity within 20 networks—obtained using independent component analysis—between the ASD and typically developing groups, and related functional connectivity within these networks to continuous (overall) autism trait severity scores derived from the Social Responsiveness Scale Second Edition across all participants. Furthermore, we investigated case-control differences and autism trait–related alterations in between-network connectivity.ResultsHigher autism traits were associated with increased connectivity within salience, medial motor, and orbitofrontal networks. However, we did not replicate previously reported case-control differences within these networks. The between-network analysis did reveal case-control differences showing on average 1) decreased connectivity of the visual association network with somatosensory, medial, and lateral motor networks, and 2) increased connectivity of the cerebellum with these sensory and motor networks in ASD compared with typically developing subjects.ConclusionsWe demonstrate ASD-related alterations in within- and between-network connectivity. The between-network alterations broadly affect connectivity between cerebellum, visual, and sensory-motor networks, potentially underlying impairments in multisensory and visual-motor integration frequently observed in ASD.
AB - BackgroundResting-state functional magnetic resonance imaging–based studies on functional connectivity in autism spectrum disorder (ASD) have generated inconsistent results. Interpretation of findings is further hampered by small samples and a focus on a limited number of networks, with networks underlying sensory processing being largely underexamined. We aimed to comprehensively characterize ASD-related alterations within and between 20 well-characterized resting-state networks using baseline data from the EU-AIMS (European Autism Interventions—A Multicentre Study for Developing New Medications) Longitudinal European Autism Project.MethodsResting-state functional magnetic resonance imaging data was available for 265 individuals with ASD (7.5–30.3 years; 73.2% male) and 218 typically developing individuals (6.9–29.8 years; 64.2% male), all with IQ > 70. We compared functional connectivity within 20 networks—obtained using independent component analysis—between the ASD and typically developing groups, and related functional connectivity within these networks to continuous (overall) autism trait severity scores derived from the Social Responsiveness Scale Second Edition across all participants. Furthermore, we investigated case-control differences and autism trait–related alterations in between-network connectivity.ResultsHigher autism traits were associated with increased connectivity within salience, medial motor, and orbitofrontal networks. However, we did not replicate previously reported case-control differences within these networks. The between-network analysis did reveal case-control differences showing on average 1) decreased connectivity of the visual association network with somatosensory, medial, and lateral motor networks, and 2) increased connectivity of the cerebellum with these sensory and motor networks in ASD compared with typically developing subjects.ConclusionsWe demonstrate ASD-related alterations in within- and between-network connectivity. The between-network alterations broadly affect connectivity between cerebellum, visual, and sensory-motor networks, potentially underlying impairments in multisensory and visual-motor integration frequently observed in ASD.
KW - Autism
KW - Cerebellum
KW - Functional connectivity
KW - Resting-state fMRI
KW - Sensory networks
KW - Visual-motor integration
U2 - 10.1016/j.bpsc.2018.11.010
DO - 10.1016/j.bpsc.2018.11.010
M3 - Article
SN - 2451-9022
VL - 4
SP - 260
EP - 270
JO - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
JF - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
IS - 3
ER -