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
Dans Chinois
| WPRIM
| ID: wpr-280217
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.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Physiologie
/
Traitement d'image par ordinateur
/
Traitement du signal assisté par ordinateur
/
Encéphale
/
Imagerie par résonance magnétique
/
Analyse de régression
/
Méthodes
Type d'étude:
Etude diagnostique
Limites du sujet:
Humains
langue:
Chinois
Texte intégral:
Journal of Biomedical Engineering
Année:
2009
Type:
Article
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