TY - JOUR
T1 - Disrupted Cerebrocerebellar Intrinsic Functional Connectivity in Young Adults with High-Functioning Autism Spectrum Disorder
T2 - A Data-Driven, Whole-Brain, High-Temporal Resolution Functional Magnetic Resonance Imaging Study
AU - Arnold Anteraper, Sheeba
AU - Guell, Xavier
AU - D'Mello, Anila
AU - Joshi, Neha
AU - Whitfield-Gabrieli, Susan
AU - Joshi, Gagan
N1 - Funding Information:
This work is funded, in part, by the Athinoula A. Martinos Imaging Center, MIT, the Alan and Lorraine Bressler Clinical and Research Program for Autism Spectrum Disorder, and the MGH Pediatric Psychopharmacology Council Fund. The authors would like to thank the contributors of ABIDE, and Alfonso Nieto Castañón and Kaustubh Patil for helpful comments.
Publisher Copyright:
© 2019, Mary Ann Liebert, Inc..
PY - 2019/2
Y1 - 2019/2
N2 - This study examines the resting-state functional-connectivity (RsFc) in young adults with high-functioning autism spectrum disorder (HF-ASD) using state-of-the-art fMRI data acquisition and analysis techniques. High temporal resolution fMRI using simultaneous multi-slice acquisition aided unbiased whole-brain connectome-wide multivariate pattern analysis (MVPA) techniques for assessing RsFc. MVPA revealed two clusters (Crus I/II and lobule IX) of abnormal connectivity in the cerebellum that are consistent with the notion of a triple representation of nonmotor processing in the cerebellum. Whole-brain seed-based RsFc analyses informed by these clusters showed significant under connectivity between the cerebellar and social, emotional, and language brain regions in the HF-ASD group compared to healthy controls. The results we report are coherent with existing structural, functional, and RsFc literature in autism, extend previous literature reporting cerebellar abnormalities in the neuropathology of autism, and highlight the cerebellum as a potential target for therapeutic, diagnostic, predictive, and prognostic developments in HF-ASD. The description of functional connectivity abnormalities reported in this study using whole-brain, data-driven analyses has the potential to crucially advance the development of ASD biomarkers, targets for therapeutic interventions, and neural predictors for measuring treatment response.
AB - This study examines the resting-state functional-connectivity (RsFc) in young adults with high-functioning autism spectrum disorder (HF-ASD) using state-of-the-art fMRI data acquisition and analysis techniques. High temporal resolution fMRI using simultaneous multi-slice acquisition aided unbiased whole-brain connectome-wide multivariate pattern analysis (MVPA) techniques for assessing RsFc. MVPA revealed two clusters (Crus I/II and lobule IX) of abnormal connectivity in the cerebellum that are consistent with the notion of a triple representation of nonmotor processing in the cerebellum. Whole-brain seed-based RsFc analyses informed by these clusters showed significant under connectivity between the cerebellar and social, emotional, and language brain regions in the HF-ASD group compared to healthy controls. The results we report are coherent with existing structural, functional, and RsFc literature in autism, extend previous literature reporting cerebellar abnormalities in the neuropathology of autism, and highlight the cerebellum as a potential target for therapeutic, diagnostic, predictive, and prognostic developments in HF-ASD. The description of functional connectivity abnormalities reported in this study using whole-brain, data-driven analyses has the potential to crucially advance the development of ASD biomarkers, targets for therapeutic interventions, and neural predictors for measuring treatment response.
KW - autism spectrum disorders
KW - cerebellum
KW - functional connectivity
KW - MVPA
KW - resting-state networks
KW - simultaneous multislice
KW - social cognition
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U2 - 10.1089/brain.2018.0581
DO - 10.1089/brain.2018.0581
M3 - Article
C2 - 29896995
AN - SCOPUS:85053866309
SN - 2158-0014
VL - 9
SP - 48
EP - 59
JO - Brain Connectivity
JF - Brain Connectivity
IS - 1
ER -