Advertisement

Improved Detection Sensitivity in Functional MRI Data Using a Brain Parcelling Technique

  • Guillaume Flandin
  • Ferath Kherif
  • Xavier Pennec
  • Grégoire Malandain
  • Nicholas Ayache
  • Jean-Baptiste Poline
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2488)

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.

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

  1. 1.
    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.CrossRefGoogle Scholar
  2. 2.
    O. Cuisenaire. Distance Transformations: Fast Algorithms and Applications to Medical Image Processing. PhD thesis, Katholieke Universiteit, Leuven, 1999.Google Scholar
  3. 3.
    R.O. Duda and P.E. Hart. Pattern Classification and Scene Analysis. Wiley, New York, 1973.zbMATHGoogle Scholar
  4. 4.
    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.CrossRefGoogle Scholar
  5. 5.
    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.CrossRefGoogle Scholar
  6. 6.
    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.CrossRefGoogle Scholar
  7. 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
  8. 8.
    S.J. Kiebel, R. Goebel, and K.J. Friston. Anatomically informed basis functions. NeuroImage, 11(6):656–667, 2000.CrossRefGoogle Scholar
  9. 9.
    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.CrossRefGoogle Scholar
  10. 10.
    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.CrossRefGoogle Scholar
  11. 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. 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. 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
  14. 14.
    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.CrossRefGoogle Scholar
  15. 15.
    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.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Guillaume Flandin
    • 1
    • 2
    • 3
  • Ferath Kherif
    • 2
    • 3
  • Xavier Pennec
    • 1
  • Grégoire Malandain
    • 1
  • Nicholas Ayache
    • 1
  • Jean-Baptiste Poline
    • 2
    • 3
  1. 1.Epidaure ProjectINRIASophia AntipolisFrance
  2. 2.CEAService Hospitalier Frédéric JoliotOrsayFrance
  3. 3.Neuroimagerie fonctionnelleIFR 49ParisFrance

Personalised recommendations