Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data.
Damien A. Fair,Joel T. Nigg,Swathi Iyer,Deepti R. Bathula,Deepti R. Bathula,Kathryn L. Mills,Nico U.F. Dosenbach,Bradley L. Schlaggar,Maarten Mennes,David A. Gutman,Saroja Bangaru,Jan K. Buitelaar,Daniel P. Dickstein,Adriana Di Martino,David N. Kennedy,Clare Kelly,Beatriz Luna,Julie B. Schweitzer,Katerina Velanova,Yufeng Wang,Stewart H. Mostofsky,Stewart H. Mostofsky,F. Xavier Castellanos,F. Xavier Castellanos,Michael P. Milham,Michael P. Milham +25 more
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TLDR
Fundamental connectivity patterns in individuals are capable of differentiating the two most prominent ADHD subtypes, and resting-state functional connectivity MRI data can be used to characterize individual patients with ADHD and to identify neural distinctions underlying the clinical heterogeneity of ADHD.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.read more
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Journal ArticleDOI
Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268
Journal ArticleDOI
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.
TL;DR: The newly developed toolbox, DPABI, which was evolved from REST and DPARSF is introduced, designed to make data analysis require fewer manual operations, be less time-consuming, have a lower skill requirement, a smaller risk of inadvertent mistakes, and be more comparable across studies.
Journal ArticleDOI
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
A Di Martino,C-G Yan,Qingyang Li,E Denio,Francisco X. Castellanos,Francisco X. Castellanos,Kaat Alaerts,Kaat Alaerts,Jeffrey S. Anderson,Michal Assaf,Susan Y. Bookheimer,Mirella Dapretto,Ben Deen,Ben Deen,Sonja Delmonte,Ilan Dinstein,Ilan Dinstein,Birgit Ertl-Wagner,Damien A. Fair,Louise Gallagher,Daniel P. Kennedy,Daniel P. Kennedy,Christopher L. Keown,Christian Keysers,Christian Keysers,Janet E. Lainhart,Catherine Lord,Beatriz Luna,Vinod Menon,Nancy J. Minshew,Christopher S. Monk,Sophia Mueller,R-A Müller,Mary Beth Nebel,Joel T. Nigg,Kirsten O'Hearn,Kevin A. Pelphrey,Scott Peltier,Jeffrey D. Rudie,Stefan Sunaert,Mark Thioux,Mark Thioux,J M Tyszka,Lucina Q. Uddin,Judith Verhoeven,Nicole Wenderoth,Jillian Lee Wiggins,Stewart H. Mostofsky,Stewart H. Mostofsky,Michael P. Milham,Michael P. Milham +50 more
TL;DR: W Whole-brain analyses reconciled seemingly disparate themes of both hypo- and hyperconnectivity in the ASD literature; both were detected, although hypoconnectivity dominated, particularly for corticocortical and interhemispheric functional connectivity.
Journal ArticleDOI
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
Alexander Schaefer,Ru Kong,Evan M. Gordon,Timothy O. Laumann,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo,B.T. Thomas Yeo +8 more
TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
Journal ArticleDOI
A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics
Chao-Gan Yan,Brian Cheung,Clare Kelly,Stanley J. Colcombe,R. Cameron Craddock,R. Cameron Craddock,Adriana Di Martino,Qingyang Li,Xi-Nian Zuo,F. Xavier Castellanos,F. Xavier Castellanos,Michael P. Milham,Michael P. Milham +12 more
TL;DR: A comprehensive voxel-based examination of the impact of motion on the BOLD signal suggests that positive relationships may reflect neural origins of motion while negative relationships are likely to originate from motion artifact.
References
More filters
Journal ArticleDOI
Modularity and community structure in networks
TL;DR: In this article, the modularity of a network is expressed in terms of the eigenvectors of a characteristic matrix for the network, which is then used for community detection.
Journal ArticleDOI
Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268
Journal ArticleDOI
Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.
TL;DR: It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.
Journal ArticleDOI
Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): Initial Reliability and Validity Data
Joan Kaufman,Boris Birmaher,David A. Brent,Uma Rao,Uma Rao,Cynthia Flynn,Cynthia Flynn,Paula Moreci,Douglas E. Williamson,Neal D. Ryan +9 more
TL;DR: Results suggest the K-SADS-PL generates reliable and valid child psychiatric diagnoses.