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.
Artigo
em Chinês
| 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.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Fisiologia
/
Processamento de Imagem Assistida por Computador
/
Processamento de Sinais Assistido por Computador
/
Encéfalo
/
Imageamento por Ressonância Magnética
/
Análise de Regressão
/
Métodos
Tipo de estudo:
Estudo diagnóstico
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2009
Tipo de documento:
Artigo
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