Open AccessDetection of fMRI activation using Cortical Surface Mapping
Author(s) -
Andrade Alexandre,
Kherif Ferath,
Mangin JeanFrançois,
Worsley Keith J.,
Paradis AnneLise,
Simon Olivier,
Dehaene Stanislas,
Le Bihan Denis,
Poline JeanBaptiste
Publication year - 2001
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/1097-0193(200102)12:2<79::aid-hbm1005>3.0.co;2-i
Subject(s) - flattening , sensitivity (control systems) , computer science , flexibility (engineering) , artificial intelligence , neuroscience , pattern recognition (psychology) , psychology , mathematics , physics , statistics , astronomy , electronic engineering , engineering
A methodology for fMRI data analysis confined to the cortex, Cortical Surface Mapping (CSM), is presented. CSM retains the flexibility of the General Linear Model based estimation, but the procedures involved are adapted to operate on the cortical surface, while avoiding to resort to explicit flattening. The methodology is tested by means of simulations and application to a real fMRI protocol. The results are compared with those obtained with a standard, volume‐oriented approach (SPM), and it is shown that CSM leads to local differences in sensitivity, with generally higher sensitivity for CSM in two of the three subjects studied. The discussion provided is focused on the benefits of the introduction of anatomical information in fMRI data analysis, and the relevance of CSM as a step toward this goal. Hum. Brain Mapping 12:79–93, 2001. © 2001 Wiley‐Liss, Inc.