Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data

Damien Fair, Joel Nigg, Swathi Iyer, Deepti Bathula, Kathryn L. Mills, Nico U F Dosenbach, Bradley L. Schlaggar, Maarten Mennes, David Gutman, Saroja Bangaru, Jan K. Buitelaar, Daniel P. Dickstein, Adriana Di Martino, David N. Kennedy, Clare Kelly, Beatriz Luna, Julie B. Schweitzer, Katerina Velanova, Yu Feng Wang, Stewart MostofskyF. Xavier Castellanos, Michael P. Milham

Research output: Contribution to journalArticle

107 Citations (Scopus)

Abstract

In recent years, there has been growing enthusiasm that functional magnetic resonance imaging (MRI) could achieve clinical utility for a broad range of neuropsychiatric disorders. However, several barriers remain. For example, the acquisition of large-scale datasets capable of clarifying the marked heterogeneity that exists in psychiatric illnesses will need to be realized. In addition, there continues to be a need for the development of image processing and analysis methods capable of separating signal from artifact. As a prototypical hyperkinetic disorder, and movement-related artifact being a significant confound in functional imaging studies, ADHD offers a unique challenge. As part of the ADHD-200 Global Competition and this special edition of Frontiers, the ADHD-200 Consortium demonstrates the utility of an aggregate dataset pooled across five institutions in addressing these challenges. The work aimed to (1) examine the impact of emerging techniques for controlling for "micro-movements," and (2) provide novel insights into the neural correlates of ADHD subtypes. Using support vector machine (SVM)-based multivariate pattern analysis (MVPA) we show that functional connectivity patterns in individuals are capable of differentiating the two most prominent ADHD subtypes. The application of graph-theory revealed that the Combined (ADHD-C) and Inattentive (ADHD-I) subtypes demonstrated some overlapping (particularly sensorimotor systems), but unique patterns of atypical connectivity. For ADHD-C, atypical connectivity was prominent in midline default network components, as well as insular cortex; in contrast, the ADHD-I group exhibited atypical patterns within the dlPFC regions and cerebellum. Systematic motion-related artifact was noted, and highlighted the need for stringent motion correction. Findings reported were robust to the specific motion correction strategy employed. These data suggest that resting-state functional connectivity MRI (rs-fcMRI) data can be used to characterize individual patients with ADHD and to identify neural distinctions underlying the clinical heterogeneity of ADHD.

Original languageEnglish (US)
Pages (from-to)1-31
Number of pages31
JournalFrontiers in Systems Neuroscience
Issue numberFEB
DOIs
StatePublished - 2013

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Artifacts
Magnetic Resonance Imaging
Hyperkinesis
Advance Directives
Cerebral Cortex
Cerebellum
Multivariate Analysis
Datasets
Support Vector Machine

Keywords

  • ADHD
  • Functional connectivity
  • RDoC
  • Research domain criteria
  • Support vector machines

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Cellular and Molecular Neuroscience
  • Cognitive Neuroscience
  • Developmental Neuroscience

Cite this

Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data. / Fair, Damien; Nigg, Joel; Iyer, Swathi; Bathula, Deepti; Mills, Kathryn L.; Dosenbach, Nico U F; Schlaggar, Bradley L.; Mennes, Maarten; Gutman, David; Bangaru, Saroja; Buitelaar, Jan K.; Dickstein, Daniel P.; Martino, Adriana Di; Kennedy, David N.; Kelly, Clare; Luna, Beatriz; Schweitzer, Julie B.; Velanova, Katerina; Wang, Yu Feng; Mostofsky, Stewart; Castellanos, F. Xavier; Milham, Michael P.

In: Frontiers in Systems Neuroscience, No. FEB, 2013, p. 1-31.

Research output: Contribution to journalArticle

Fair, D, Nigg, J, Iyer, S, Bathula, D, Mills, KL, Dosenbach, NUF, Schlaggar, BL, Mennes, M, Gutman, D, Bangaru, S, Buitelaar, JK, Dickstein, DP, Martino, AD, Kennedy, DN, Kelly, C, Luna, B, Schweitzer, JB, Velanova, K, Wang, YF, Mostofsky, S, Castellanos, FX & Milham, MP 2013, 'Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data', Frontiers in Systems Neuroscience, no. FEB, pp. 1-31. https://doi.org/10.3389/fnsys.2012.00080
Fair, Damien ; Nigg, Joel ; Iyer, Swathi ; Bathula, Deepti ; Mills, Kathryn L. ; Dosenbach, Nico U F ; Schlaggar, Bradley L. ; Mennes, Maarten ; Gutman, David ; Bangaru, Saroja ; Buitelaar, Jan K. ; Dickstein, Daniel P. ; Martino, Adriana Di ; Kennedy, David N. ; Kelly, Clare ; Luna, Beatriz ; Schweitzer, Julie B. ; Velanova, Katerina ; Wang, Yu Feng ; Mostofsky, Stewart ; Castellanos, F. Xavier ; Milham, Michael P. / Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data. In: Frontiers in Systems Neuroscience. 2013 ; No. FEB. pp. 1-31.
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