Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects

Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects

Brain imaging methods have long held promise as diagnostic aids for neuropsychiatric conditions with complex behavioral phenotypes such as Attention-Deficit/Hyperactivity Disorder. This promise has largely been unrealized, at least partly due to the heterogeneity of clinical populations and the smal...

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Bibliographic Details
Main Authors: Jason W Bohland, Sara eSaperstein, Francisco ePereira, Jeremy eRapin, Leo eGrady
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-12-01
Series:Frontiers in Systems Neuroscience
Subjects:
fMRI
machine learning
Network analysis
functional connectivity
resting state
ADHD
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnsys.2012.00078/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnsys.2012.00078/full

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