Exploratory analysis of brain connectivity with ICA.

Exploratory analysis of brain connectivity with ICA.

Covariance-based methods of exploration of functional connectivity of the brain from functional magnetic resonance imaging (fMRI) experiments, such as principal component analysis (PCA) and structural equation modeling (SEM), require a priori knowledge such as an anatomical model to infer functional...

詳細記述

書誌詳細
出版年:IEEE Engineering in medicine and biology magazine 25, 2 (2006).
第一著者: Rajapakse, J.C
フォーマット: 論文
言語:English
主題:
Automated method.
Functional connectivity.
Functional magnetic resonance imaging.
Independent component analysis.
Language reading task dataset.
Spatial ICA.
Structural equation modeling.
Task-related brain activation.
Task-related neural systems.
Visual task dataset.