Principal Component Regression Approach for Functional Connectivity of Neuronal Activations Measured by Functional MRI

Eini Niskanen,Mika P. Tarvainen,Mervi Könönen,Hilkka Soininen,Pasi A. Karjalainen

Principal Component Regression Approach for Functional Connectivity of Neuronal Activations Measured by Functional MRI

2005

Eini Niskanen
Mika P. Tarvainen
Mervi Könönen
Hilkka Soininen
Pasi A. Karjalainen

A principal component regression (PCR) based approach for studying the functional connectivity of blood oxygenation level dependent (BOLD) responses of functional magnetic resonance imaging (fMRI) is proposed. The temporal dependency of BOLD responses from different spatial areas is determined from the eigenvectors of the correlation matrix.

Keywords:

Blood oxygenation level dependent
Covariance matrix
Eigenvalues and eigenvectors
Principal component regression
Functional magnetic resonance imaging
Blood-oxygen-level dependent
Nuclear magnetic resonance
Chemistry
Premovement neuronal activity
functional connectivity
Physics
Artificial intelligence
Pattern recognition

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