A method based on regression analysis for detecting functional connectivity of human brain / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 273-276, 2009.
Article
in Chinese
| WPRIM (Western Pacific)
| ID: wpr-280217
Responsible library:
WPRO
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.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Physiology
/
Image Processing, Computer-Assisted
/
Signal Processing, Computer-Assisted
/
Brain
/
Magnetic Resonance Imaging
/
Regression Analysis
/
Methods
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2009
Document type:
Article
