Abstract
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 [5] 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.
Chapter PDF
Similar content being viewed by others
Keywords
- Point Spread Function
- Geodesic Distance
- Functional Magnetic Resonance Image
- Human Brain Mapping
- Anatomical Constraint
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
A. Andrade, F. Kherif, J.-F. Mangin, K.J. Worsley, A.-L. Paradis, O. Simon, S. Dehaene, D. Le Bihan, and J.-B. Poline. Detection of fMRI activation using cortical surface mapping. Human Brain Mapping, 12:79–93, 2001.
O. Cuisenaire. Distance Transformations: Fast Algorithms and Applications to Medical Image Processing. PhD thesis, Katholieke Universiteit, Leuven, 1999.
R.O. Duda and P.E. Hart. Pattern Classification and Scene Analysis. Wiley, New York, 1973.
O. Friman, M. Borga, P. Lundberg, and H. Knutsson. Detection of neural activity in fMRI using maximum correlation modeling. NeuroImage, 15(2):386–395, 2002.
K.J. Friston, A.P. Holmes, J.-B. Poline, C.D. Frith, and R.S.J. Frackowiak. Statistical parametric maps in functional imaging: A general linear approach. Human Brain Mapping, 2:189–210, 1995.
K.J. Friston, O. Josephs, E. Zarahn, A.P. Holmes, S. Rouquette, and J.-B. Poline. To smooth or not to smooth? bias and efficiency in fMRI time-series analysis. NeuroImage, 12:196–208, 2000.
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.
S.J. Kiebel, R. Goebel, and K.J. Friston. Anatomically informed basis functions. NeuroImage, 11(6):656–667, 2000.
J.-F. Mangin, V. Frouin, I. Bloch, J. Régis, and J. Lopez-Krahe. From 3D magnetic resonance images to structural representations of the cortex topography using topology preserving deformations. J. Math. Imaging and Vision, 5:297–318, 1995.
S. Ogawa, T.M. Lee, A.R. Kay, and D.W. Tank. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci USA, 87:9868–9872, 1990.
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.
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.
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.
K.J. Worsley, S. Marrett, P. Neelin, and A.C. Evans. Searching scale space for activation in PET images. Human Brain Mapping, 4:74–90, 1996.
K.J. Worsley, J.-B. Poline, A.C. Vandal, and K.J. Friston. Tests for distributed, non-focal brain activations. NeuroImage, 2:183–194, 1995.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Flandin, G., Kherif, F., Pennec, X., Malandain, G., Ayache, N., Poline, JB. (2002). Improved Detection Sensitivity in Functional MRI Data Using a Brain Parcelling Technique. In: Dohi, T., Kikinis, R. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002. MICCAI 2002. Lecture Notes in Computer Science, vol 2488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45786-0_58
Download citation
DOI: https://doi.org/10.1007/3-540-45786-0_58
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44224-0
Online ISBN: 978-3-540-45786-2
eBook Packages: Springer Book Archive