EROICA: Exploring regions of interest with cluster analysis in large functional magnetic resonance imaging data sets

Detecting functional nodes in large-scal

Detecting functional nodes in large-scale cortical networks with functional magnetic resonance imaging: A principal component analysis of the human visual system

✍ Christine Ecker; Emanuelle Reynaud; Steven C. Williams; Michael J. Brammer 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 605 KB

## Abstract This study aimed to demonstrate how a regional variant of principal component analysis (PCA) can be used to delineate the known functional subdivisions of the human visual system. Unlike conventional eigenimage analysis, PCA was carried out as a second‐level analysis subsequent to model