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Proceedings Paper

Discriminant analysis of resting-state functional connectivity patterns on the Grassmann manifold
Author(s): Yong Fan; Yong Liu; Tianzi Jiang; Zhening Liu; Yihui Hao; Haihong Liu
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Paper Abstract

The functional networks, extracted from fMRI images using independent component analysis, have been demonstrated informative for distinguishing brain states of cognitive functions and neurological diseases. In this paper, we propose a novel algorithm for discriminant analysis of functional networks encoded by spatial independent components. The functional networks of each individual are used as bases for a linear subspace, referred to as a functional connectivity pattern, which facilitates a comprehensive characterization of temporal signals of fMRI data. The functional connectivity patterns of different individuals are analyzed on the Grassmann manifold by adopting a principal angle based subspace distance. In conjunction with a support vector machine classifier, a forward component selection technique is proposed to select independent components for constructing the most discriminative functional connectivity pattern. The discriminant analysis method has been applied to an fMRI based schizophrenia study with 31 schizophrenia patients and 31 healthy individuals. The experimental results demonstrate that the proposed method not only achieves a promising classification performance for distinguishing schizophrenia patients from healthy controls, but also identifies discriminative functional networks that are informative for schizophrenia diagnosis.

Paper Details

Date Published: 12 March 2010
PDF: 8 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76231J (12 March 2010); doi: 10.1117/12.844495
Show Author Affiliations
Yong Fan, Institute of Automation (China)
Yong Liu, Institute of Automation (China)
Tianzi Jiang, Institute of Automation (China)
Zhening Liu, Central South Univ. (China)
Yihui Hao, Central South Univ. (China)
Haihong Liu, Central South Univ. (China)

Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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