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Abstract #5270

A study of identifying patients with Alzheimer’s disease based on resting-state fMRI

Shuai Mao1, Changle Zhang1, Heather T. Ma1, Na Gao1, Yanwu Yang1, and Yan Wang1

1Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, People's Republic of China

Based on resting-state fmri (rs-fMRI) data, this study aims to investigate the method of identifying AD and normal controls through the procedure of feature extraction and pattern recognition. We extracted the ALFF and ReHo parameters based on pre-processed resting-state fMRI data, and calculated some key parameters in graph theory through the functional connectivity network. Then the examination of the reliability of those features shows a satisfactory recognition rate of 94.4% to distinguish AD and normal controls.

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