A method based on regression analysis for detecting functional connectivity of human brain.
- Author:
Xinmei XU
1
;
Huinan WANG
;
Guangming LU
;
Yuan ZHONG
;
Zhiqiang ZHANG
;
Zhaojian LIN
;
Xiaoli SHAO
Author Information
1. Department of Medical Imaging, Nanjing General Hospital of Nanjing Military Command, Nanjing 210002, China.
- Publication Type:Journal Article
- MeSH:
Brain;
physiology;
Humans;
Image Processing, Computer-Assisted;
Magnetic Resonance Imaging;
methods;
Regression Analysis;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2009;26(2):273-276
- CountryChina
- Language:Chinese
-
Abstract:
In this paper is proposed a new method for functional connectivity detection using regression analysis. First, the resting state functional magnetic resonance imaging (fMRI) data from each voxel is passed through a bandpass filter to obtain frequencies between 0.01 Hz and 0.1 Hz. Then, the region of interest (ROI) is defined and the mean time course of all voxels in ROI is used as a regressor. Finally, the linear relationship between the time course of other voxels and the regressor in the resting brain is estimated. By the application of this new method in simulation data and fMRI data, the relevant validity and reliability are demonstrated.
