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Inter-hemispheric asymmetry patterns in the ADHD brain: a neuroimaging replication study
Author(s): Cintya Nirvana Dutta; Leonardo Christov-Moore; Ariana Anderson; Zane Koch; Pashmeen Kaur; Farzad Vasheghani-Farahani; Pamela K. Douglas
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Paper Abstract

Attention-deficit/ hyperactivity disorder (ADHD) is the most common neurodevelopment disorder in children, and many genetic markers have been linked to the behavioral phenotypes of this highly heritable disease. The neuroimaging correlates are similarly complex, with multiple combinations of structural and functional alterations associated with the disease presentations of hyperactivity and inattentiveness. Thus far, neuroimaging studies have provided mixed results in ADHD patients, particularly with respect to the laterality of findings. It is possible that hemispheric asymmetry differences may help reconcile the variability of these findings. We recently reported that inter-hemispheric asymmetry differences were more sensitive descriptors for identifying differences between ADHD and typically developing (TD) brains (n=849) across volumetric, morphometric, and white matter neuroimaging metrics. Here, we examined the replicability of these findings across a new data set (n=202) of TD and ADHD subjects at the time of diagnosis (medication naive) and after a six week course of either stimulant drugs, nonstimulant medications, or combination therapy. Our findings replicated our earlier work across a number of volumetric and white matter measures confirming that asymmetry is more robust at detecting differences between TD and ADHD brains. However, the effects of medication failed to produce significant alterations across either lateralized or symmetry measures. We suggest that the delay in brain volume maturation observed in ADHD youths may be hemisphere dependent. Future work may investigate the extent to which these inter-hemispheric asymmetry differences are causal or compensatory in nature.

Paper Details

Date Published: 3 January 2020
PDF: 13 pages
Proc. SPIE 11330, 15th International Symposium on Medical Information Processing and Analysis, 113301C (3 January 2020); doi: 10.1117/12.2546895
Show Author Affiliations
Cintya Nirvana Dutta, Univ. of Central Florida (United States)
Leonardo Christov-Moore, Univ. of Southern California (United States)
Ariana Anderson, Univ. of California, Los Angeles (United States)
Zane Koch, Univ. of California, Los Angeles (United States)
Pashmeen Kaur, Univ. of California, Los Angeles (United States)
Farzad Vasheghani-Farahani, Univ. of Central Florida (United States)
Pamela K. Douglas, Univ. of Central Florida (United States)
Univ. of California, Los Angeles (United States)

Published in SPIE Proceedings Vol. 11330:
15th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva, Editor(s)

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