𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Functional MR image analysis of a large scale neurocognitive network

✍ Scribed by Bullmore, E.T.; Rabe-Hesketh, S.; Morris, R.G.; Williams, S.C.R.; Gregory, L.; Gray, J.A.; Brammer, M.J.

Book ID
123108992
Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
106 KB
Volume
3
Category
Article
ISSN
1053-8119

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Hybrid Analysis of a Large-scale Network
Hybrid Analysis of a Large-scale Network by Node-tearing
✍ Mao-Da Tong; Wai-Kai Chen πŸ“‚ Article πŸ“… 1986 πŸ› Elsevier Science 🌐 English βš– 624 KB

A new hybrid analysis technique for large-scale networks by node-tearing is presented. The interconnectionfunction matrix is defined and theformulationfor computing the transfer function matrix W, the general return difference matrix FK(X) and the general null return difference matrix P,(X) of a lar

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 πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 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