Functional network connectivity in autism spectrum disorder – a high model order group ICA study

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S45
Author(s):  
V. Kiviniemi ◽  
J. Nikkinen ◽  
J. Rahko ◽  
T. Starck ◽  
J. Remes ◽  
...  
2018 ◽  
Vol 83 (9) ◽  
pp. S435 ◽  
Author(s):  
Liron Rabany ◽  
Sophy Brocke ◽  
Vince D. Calhoun ◽  
Brian Pittman ◽  
Silvia Corbera ◽  
...  

2018 ◽  
Vol 275 ◽  
pp. 43-48 ◽  
Author(s):  
René Besseling ◽  
Rolf Lamerichs ◽  
Britt Michels ◽  
Stephan Heunis ◽  
Anton de Louw ◽  
...  

2020 ◽  
Vol 13 (9) ◽  
pp. 1489-1500 ◽  
Author(s):  
Kaitlin K. Cummings ◽  
Katherine E. Lawrence ◽  
Leanna M. Hernandez ◽  
Emily T. Wood ◽  
Susan Y. Bookheimer ◽  
...  

2010 ◽  
Vol 48 (10) ◽  
pp. 2931-2939 ◽  
Author(s):  
Patricia Shih ◽  
Mark Shen ◽  
Birgit Öttl ◽  
Brandon Keehn ◽  
Michael S. Gaffrey ◽  
...  

2018 ◽  
Author(s):  
Štefan Holiga ◽  
Joerg F. Hipp ◽  
Christopher H. Chatham ◽  
Pilar Garces ◽  
Will Spooren ◽  
...  

AbstractDespite the high clinical burden little is known about pathophysiology underlying autism spectrum disorder (ASD). Recent resting state functional magnetic resonance imaging (rs-fMRI) studies have found atypical synchronization of brain activity in ASD. However, no consensus has been reached on the nature and clinical relevance of these alterations. Here we address these questions in the most comprehensive, large-scale effort to date comprising evaluation of four large ASD cohorts. We followed a strict exploration and replication procedure to identify core rs-fMRI functional connectivity (degree centrality) alterations associated with ASD as compared to typically developing (TD) controls (ASD: N=841, TD: N=984). We then tested for associations of these imaging phenotypes with clinical and demographic factors such as age, sex, medication status and clinical symptom severity. We find reproducible patterns of ASD-associated functional hyper- and hypo-connectivity with hypo-connectivity being primarily restricted to sensory-motor regions and hyper-connectivity hubs being predominately located in prefrontal and parietal cortices. We establish shifts in between-network connectivity from outside to within the identified regions as a key driver of these abnormalities. The magnitude of these alterations is linked to core ASD symptoms related to communication and social interaction and is not affected by age, sex or medication status. The identified brain functional alterations provide a reproducible pathophysiological phenotype underlying the diagnosis of ASD reconciling previous divergent findings. The large effect sizes in standardized cohorts and the link to clinical symptoms emphasize the importance of the identified imaging alterations as potential treatment and stratification biomarkers for ASD.


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