Disrupted network architecture of the resting brain in attention-deficit/hyperactivity disorder
Background Attention‐deficit/hyperactivity disorder (ADHD) is one of the most prevalent psychiatric disorders of childhood. Neuroimaging investigations of ADHD have traditionally sought to detect localized abnormalities in discrete brain regions. Recent years, however, have seen the emergence of com...
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Published in | Human brain mapping Vol. 35; no. 9; pp. 4693 - 4705 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
New York, NY
Blackwell Publishing Ltd
01.09.2014
Wiley-Liss John Wiley & Sons, Inc John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Background
Attention‐deficit/hyperactivity disorder (ADHD) is one of the most prevalent psychiatric disorders of childhood. Neuroimaging investigations of ADHD have traditionally sought to detect localized abnormalities in discrete brain regions. Recent years, however, have seen the emergence of complementary lines of investigation into distributed connectivity disturbances in ADHD. Current models emphasize abnormal relationships between default network—involved in internally directed mentation and lapses of attention—and task positive networks, especially ventral attention network. However, studies that comprehensively investigate interrelationships between large‐scale networks in ADHD remain relatively rare.
Methods
Resting state functional magnetic resonance imaging scans were obtained from 757 participants at seven sites in the ADHD‐200 multisite sample. Functional connectomes were generated for each subject, and interrelationships between seven large‐scale brain networks were examined with network contingency analysis.
Results
ADHD brains exhibited altered resting state connectivity between default network and ventral attention network [P < 0.0001, false discovery rate (FDR)‐corrected], including prominent increased connectivity (more specifically, diminished anticorrelation) between posterior cingulate cortex in default network and right anterior insula and supplementary motor area in ventral attention network. There was distributed hypoconnectivity within default network (P = 0.009, FDR‐corrected), and this network also exhibited significant alterations in its interconnections with several other large‐scale networks. Additionally, there was pronounced right lateralization of aberrant default network connections.
Conclusions
Consistent with existing theoretical models, these results provide evidence that default network‐ventral attention network interconnections are a key locus of dysfunction in ADHD. Moreover, these findings contribute to growing evidence that distributed dysconnectivity within and between large‐scale networks is present in ADHD. Hum Brain Mapp 35:4693–4705, 2014. © 2014 Wiley Periodicals, Inc. |
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Bibliography: | ArticleID:HBM22504 National Center for Advancing Translational Sciences of the National Institutes of Health - No. UL1TR000433 NIH - No. AA020297 ark:/67375/WNG-B5VH4GRB-T istex:6D15F0D88292D5D9977C246FBE04BFB71927435F John Templeton Foundation Center for Computational Medicine Pilot Grant Chandra Sripada and Daniel Kessler contributed equally. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1065-9471 1097-0193 1097-0193 |
DOI: | 10.1002/hbm.22504 |