Improved Detection Sensitivity in Functional MRI Data Using a Brain Parcelling Technique
We present a comparison between a voxel based approach and a region based technique for detecting brain activation signals in sequences of functional Magnetic Resonance Images (fMRI). The region based approach uses an automatic parcellation of the brain that can incorporate anatomical constraints. A standard univariate voxel based detection method (Statistical Parametric Mapping  is used and the results are compared to those obtained when performing detection of signals extracted from the parcels. Results on a fMRI experimental protocol are presented and show a greater sensitivity using the parcelling technique. This result remains true when the data are analyzed at several resolutions.
KeywordsPoint Spread Function Geodesic Distance Functional Magnetic Resonance Image Human Brain Mapping Anatomical Constraint
- 2.O. Cuisenaire. Distance Transformations: Fast Algorithms and Applications to Medical Image Processing. PhD thesis, Katholieke Universiteit, Leuven, 1999.Google Scholar
- 7.P. Hellier, C. Barillot, I. Corouge, B. Giraud, G. Le Goualher, L. Collins, A. Evans, G. Malandain, and N. Ayache. Retrospective evaluation of inter-subject brain registration. In ’01, volume 2208 of LNCS, pages 258–265, October 2001.Google Scholar
- 11.J.-B. Poline and B.M. Mazoyer. Enhanced detection in brain activation maps using a multi filtering approach. J. Cereb. Blood Flow Metab., 14:639–641, 1994.Google Scholar
- 12.O. Simon, J.-F. Mangin, L. Cohen, D. Le Bihan, and S. Dehaene. Topographical layout of hand, eye, calculation, and language-related areas in the human parietal lobe. Neuron, 31(33(3)):475–87, Jan 2002.Google Scholar
- 13.K.J. Worsley, A.C. Evans, S. Marrett, and P. Neelin. A three-dimensional statistic analysis of CBF activation studies in human brain. J. Cereb. Blood Flow Metab., 12:900–918, 1992.Google Scholar