TY - JOUR
T1 - Resting-state functional connectivity in autism spectrum disorders
T2 - A review
AU - GENDAAR Research Consortium
AU - Hull, Jocelyn V.
AU - Jacokes, Zachary J.
AU - Torgerson, Carinna M.
AU - Irimia, Andrei
AU - Van Horn, John Darrell
AU - Aylward, Elizabeth
AU - Bernier, Raphel
AU - Bookheimer, Susan
AU - Dapretto, Mirella
AU - Gaab, Nadine
AU - Geschwind, Dan
AU - Jack, Allison
AU - Nelson, Charles
AU - Pelphrey, Kevin
AU - State, Matthew
AU - Ventola, Pamela
AU - Webb, Sara Jane
N1 - Funding Information:
This study was funded by the National Institute of Mental Health, grant 1R01 MH100028 (PI: Kevin Pelphrey, subcontract to JDVH). The authors also wish to thank Dr. Kevin Pelphrey for constructive comments as well as Lisa Dokovna for her contributions to an earlier draft of this article. Last, The authors acknowledge the outstanding members of the USC Mark and Mary Stevens Neuroimaging and Informatics Institute. The GENDAAR Research Consortium includes (in alphabetical order): Elizabeth Aylward, Raphel Bernier, Susan Bookheimer, Mirella Dapretto, Nadine Gaab, Dan Geschwind, Allison Jack, Charles Nelson, Kevin Pelphrey, Matthew State, Pamela Ventola, and Sara Jane Webb.
Publisher Copyright:
© 2017 Hull, Jacokes, Torgerson, Irimia and Van Horn.
PY - 2017/1/4
Y1 - 2017/1/4
N2 - Ongoing debate exists within the resting-state functional MRI (fMRI) literature over how intrinsic connectivity is altered in the autistic brain, with reports of general over-connectivity, under-connectivity, and/or a combination of both. Classifying autism using brain connectivity is complicated by the heterogeneous nature of the condition, allowing for the possibility of widely variable connectivity patterns among individuals with the disorder. Further differences in reported results may be attributable to the age and sex of participants included, designs of the resting-state scan, and to the analysis technique used to evaluate the data. This review systematically examines the resting-state fMRI autism literature to date and compares studies in an attempt to draw overall conclusions that are presently challenging. We also propose future direction for rs-fMRI use to categorize individuals with autism spectrum disorder, serve as a possible diagnostic tool, and best utilize data-sharing initiatives.
AB - Ongoing debate exists within the resting-state functional MRI (fMRI) literature over how intrinsic connectivity is altered in the autistic brain, with reports of general over-connectivity, under-connectivity, and/or a combination of both. Classifying autism using brain connectivity is complicated by the heterogeneous nature of the condition, allowing for the possibility of widely variable connectivity patterns among individuals with the disorder. Further differences in reported results may be attributable to the age and sex of participants included, designs of the resting-state scan, and to the analysis technique used to evaluate the data. This review systematically examines the resting-state fMRI autism literature to date and compares studies in an attempt to draw overall conclusions that are presently challenging. We also propose future direction for rs-fMRI use to categorize individuals with autism spectrum disorder, serve as a possible diagnostic tool, and best utilize data-sharing initiatives.
KW - Autism spectrum disorder
KW - Developmental brain imaging
KW - FMRI
KW - Functional connectivity
KW - Neural networks
KW - Resting state
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U2 - 10.3389/fpsyt.2016.00205
DO - 10.3389/fpsyt.2016.00205
M3 - Review article
C2 - 28101064
AN - SCOPUS:85012108410
SN - 1664-0640
VL - 7
JO - Frontiers in Psychiatry
JF - Frontiers in Psychiatry
IS - JAN
M1 - 205
ER -