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

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...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2008-03, Vol.40 (1), p.110-120
Hauptverfasser:	Zhu, Chao-Zhe, Zang, Yu-Feng, Cao, Qing-Jiu, Yan, Chao-Gan, He, Yong, Jiang, Tian-Zi, Sui, Man-Qiu, Wang, Yu-Feng
Format:	Artikel
Sprache:	eng
Schlagworte:	ADHD Adolescent Algorithms Artificial Intelligence Attention Deficit Disorder with Hyperactivity - physiopathology Attention deficit hyperactivity disorder Behavior Brain Brain - physiopathology Brain Mapping Child Classification Data analysis Data Interpretation, Statistical Fisher discriminative analysis fMRI Humans Image Processing, Computer-Assisted - methods Image Processing, Computer-Assisted - statistics & numerical data Magnetic Resonance Imaging Male NMR Nuclear magnetic resonance Pattern recognition Principal Component Analysis Principal components analysis ReHo Reproducibility of Results Resting state Standard deviation Studies
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