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 - Baron-Cohen, Simon
AU - Holt, Rosemary
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 - Ahmad, Jumana
AU - Ambrosino, Sara
AU - Auyeung, Bonnie
AU - Bourgeron, Thomas
AU - Bours, Carsten
AU - Brammer, Michael
AU - Brogna, Claudia
AU - de Bruijn, Yvette
AU - Chakrabarti, Bhismadev
AU - Cornelissen, Ineke
AU - Crawley, Daisy
AU - Dumas, Guillaume
AU - Faulkner, Jessica
AU - Frouin, Vincent
AU - Garcés, Pilar
AU - Goyard, David
AU - Ham, Lindsay
AU - Hayward, Hannah
AU - Hipp, Joerg
AU - Johnson, Mark H.
AU - Jones, Emily J.H.
AU - Lai, Meng Chuan
AU - Liogier D'ardhuy, Xavier
AU - Lythgoe, David J.
AU - Mandl, René
AU - Mason, Luke
AU - Meyer-Lindenberg, Andreas
AU - Oranje, Bob
N1 - Funding Information:
This work was supported EU-AIMS, which receives support from the Innovative Medicines Initiative Joint Undertaking under Grant Agreement No. 115300 and the Innovative Medicines Initiative 2 Joint Undertaking under Grant Agreement No. 777394, the resources of which are composed of financial contributions from the European Union's Seventh Framework Programme (Grant No. FP7/2007-2013), from the European Federation of Pharmaceutical Industries and Associations companies? in-kind contributions, and from Autism Speaks. This work was also supported by the Netherlands Organization for Scientific Research through Vidi grants (Grant No. 864.12.003 [to CFB] and Grant No. 016.156.415 [to AFM]); from the FP7 (Grant Nos. 602805) (AGGRESSOTYPE) (to JKB), 603016 (MATRICS), and 278948 (TACTICS); and from the European Community's Horizon 2020 Programme (H2020/2014-2020) (Grant Nos. 643051 [MiND] and 642996 (BRAINVIEW). This work received funding from the Wellcome Trust UK Strategic Award (Award No. 098369/Z/12/Z) and from the National Institute for Health Research Maudsley Biomedical Research Centre (to DM).
Funding Information:
This work was supported EU-AIMS , which receives support from the Innovative Medicines Initiative Joint Undertaking under Grant Agreement No. 115300 and the Innovative Medicines Initiative 2 Joint Undertaking under Grant Agreement No. 777394 , the resources of which are composed of financial contributions from the European Union’s Seventh Framework Programme (Grant No. FP7/2007-2013 ), from the European Federation of Pharmaceutical Industries and Associations companies’ in-kind contributions, and from Autism Speaks . This work was also supported by the Netherlands Organization for Scientific Research through Vidi grants (Grant No. 864.12.003 [to CFB] and Grant No. 016.156.415 [to AFM]); from the FP7 (Grant Nos. 602805 ) (AGGRESSOTYPE) (to JKB), 603016 (MATRICS), and 278948 (TACTICS); and from the European Community’s Horizon 2020 Programme ( H2020/2014-2020 ) (Grant Nos. 643051 [MiND] and 642996 (BRAINVIEW). This work received funding from the Wellcome Trust UK Strategic Award (Award No. 098369/Z/12/Z ) and from the National Institute for Health Research Maudsley Biomedical Research Centre (to DM).
Publisher Copyright:
© 2018 Society of Biological Psychiatry
PY - 2019/3
Y1 - 2019/3
N2 - Background: Resting-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. Methods: Resting-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. Results: Higher 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. Conclusions: We 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 - Background: Resting-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. Methods: Resting-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. Results: Higher 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. Conclusions: We 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
UR - http://www.scopus.com/inward/record.url?scp=85061106042&partnerID=8YFLogxK
U2 - 10.1016/j.bpsc.2018.11.010
DO - 10.1016/j.bpsc.2018.11.010
M3 - Article
C2 - 30711508
AN - SCOPUS:85061106042
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 -