title: Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder.
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.
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, PR China. czzhu@bnu.edu.cn
authors.forename: Chao-Zhe
authors.initials: CZ
authors.lastname: Zhu
authors.forename: Yu-Feng
authors.initials: YF
authors.lastname: Zang
authors.forename: Qing-Jiu
authors.initials: QJ
authors.lastname: Cao
authors.forename: Chao-Gan
authors.initials: CG
authors.lastname: Yan
authors.forename: Yong
authors.initials: Y
authors.lastname: He
authors.forename: Tian-Zi
authors.initials: TZ
authors.lastname: Jiang
authors.forename: Man-Qiu
authors.initials: MQ
authors.lastname: Sui
authors.forename: Yu-Feng
authors.initials: YF
authors.lastname: Wang
mesh_terms: D000293:Adolescent; D000465:Algorithms; D001185:Artificial Intelligence; D001289:Attention Deficit Disorder with Hyperactivity / Q000503:physiopathology*; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping; D002648:Child; D003627:Data Interpretation, Statistical; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods / Q000706:statistics & numerical data*; D008279:Magnetic Resonance Imaging; D008297:Male; D025341:Principal Component Analysis; D015203:Reproducibility of Results