Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder

Zhu, Chao-Zhe, Zang, Yu-Feng, Cao, Qing-Jiu, Yan, Chao-Gan, He, Yong, Jiang, Tianzi, Sui, Man-Qiu and Wang, Yu-Feng (2008) Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder. NeuroImage, 40 1: 110-120. doi:10.1016/j.neuroimage.2007.11.029


Author Zhu, Chao-Zhe
Zang, Yu-Feng
Cao, Qing-Jiu
Yan, Chao-Gan
He, Yong
Jiang, Tianzi
Sui, Man-Qiu
Wang, Yu-Feng
Title Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder
Journal name NeuroImage   Check publisher's open access policy
ISSN 1053-8119
1095-9572
Publication date 2008-03-01
Year available 2007
Sub-type Article (original research)
DOI 10.1016/j.neuroimage.2007.11.029
Open Access Status DOI
Volume 40
Issue 1
Start page 110
End page 120
Total pages 11
Place of publication Maryland Heights, MO, United States
Publisher Academic Press
Language eng
Formatted abstract
In this study, a resting-state fMRI based classifier, for the first time, was proposed and applied to discriminate children with attention-deficit/hyperactivity disorder (ADHD) from normal controls. On the basis of regional homogeneity (ReHo), a mapping of brain function at resting state, PCA-based Fisher discriminative analysis (PC-FDA) was trained to build a linear classifier. Permutation test was then conducted to identify the brain areas with the most significant contribution to the final discrimination. Experimental results showed a correct classification rate of 85% using a leave-one-out cross-validation. Moreover, some highly discriminative brain regions, like the prefrontal cortex and anterior cingulate cortex, well confirmed the previous findings on ADHD. Interestingly, some important but less reported regions such as the thalamus were also identified. We conclude that the classifier, using resting-state brain function as classification feature, has potential ability to improve current diagnosis and treatment evaluation of ADHD.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
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Created: Thu, 20 Oct 2011, 23:57:15 EST by Debra McMurtrie on behalf of Queensland Brain Institute