Abstract
As structural and surface-based analyses gain interest for activation detection, morphometry and intersubject matching purposes, this paper proposes a method to perform structural group analyses directly on the cortical surface. Scale-space blobs are extracted from surface-based functional maps and matched across subjects. The process aims at identifying activations within a population despite the various effects due to variability. Results of the method are presented with simulated activations and with data from a somatotopy protocol.
Chapter PDF
References
Thirion, B., Flandin, G., Pinel, P., Roche, A., Ciuciu, P., Poline, J.B.: Dealing with the shortcomings of spatial normalization: Multi-subject parcellation of fMRI datasets. Human Brain Mapping 27(8), 678–693 (2005)
Clouchoux, C., Coulon, O., Riviere, D., Cachia, A., Mangin, J.F., Régis, J.: Anatomically constrained surface parameterization for cortical localization. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3750, pp. 344–351. Springer, Heidelberg (2005)
Andrade, A., Kherif, F., Mangin, J., Worsley, K., Paradis, A., Simon, O., Dehaene, S., Bihan, D.L., Poline, J.: Detection of fmri activation using cortical surface mapping. Human Brain Mapping 12, 79–93 (2001)
Van Essen, D.C., Drury, H.A.: Structural and functional analyses of human cerebral cortex using a surface-based atlas. J. Neurosci. 17(18), 7079–7102 (1997)
Coulon, O., Mangin, J.F., Poline, J.B., Zilbovicius, M., Roumenov, D., Samson, Y., Frouin, V., Bloch, I.: Structural group analysis of functional activation maps. NeuroImage 11(6), 767–782 (2001)
Thirion, B., Pinel, P., Tucholka, A., Roche, A., Ciuciu, P., Mangin, J.F., Poline, J.B.: Structural analysis of fmri data revisited: Improving the sensitivity and reliability of fmri group studies. IEEE Transactions on Medical Imaging 26(9), 1256–1269 (2007)
Ashburner, J., Friston, K.: Voxel-based morphometry: the methods. Neuroimage 11, 805–821 (2000)
Operto, G., Bulot, R., Anton, J.L., Coulon, O.: Projection of fmri data onto the cortical surface using anatomically-informed convolution kernels. Neuroimage 39(1), 127–135 (2007)
Roche, A., Lahaye, P.J., Poline, J.B.: Incremental activation detection in fMRI series using kalman filtering. In: IEEE International Symposium on Biomedical Imaging, pp. 376–379 (2004)
Worsley, K., Marrett, S., Neelin, P., Evans, A.: Searching scale space for activation in PET images. Human Brain Mapping 4, 74–90 (1996)
Poline, J.B., Mazoyer, B.: Analysis of individual brain activation maps using hierarchical description and multiscale detection. IEEE Transactions on Medical Imaging 13(4), 702–710 (1994)
Lindeberg, T., Lidberg, P., Roland, P.: Analysis of brain activation patterns using a 3-D scale-space primal sketch. Human Brain Mapping 7, 166–194 (1999)
Simon, O., Kherif, F., Flandin, G., Poline, J.B., Riviere, D., Mangin, J.F., Bihan, D.L., Dehaene, S.: Automatized clustering and functional geometry of human parietofrontal networks for language, space, and number. Neuroimage 23(3), 1192–1202 (2004)
Chung, M.K., Taylor, J.: Diffusion smoothing on brain surface via finite element method. In: IEEE International Symposium on Biomedical Imaging, vol. 1, pp. 432–435 (2004)
Geman, S., Geman, D.: Stochastic relaxation, gibbs distribution, and the bayesian restoration of images. IEEE Trans. on Pattern Anal. Machine Intell. 6, 721–741 (1984)
Devlin, J., Poldrack, R.: In praise of tedious anatomy. Neuroimage 37(4), 1033–1041 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Operto, G., Clouchoux, C., Bulot, R., Anton, JL., Coulon, O. (2008). Surface-Based Structural Group Analysis of fMRI Data. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. MICCAI 2008. Lecture Notes in Computer Science, vol 5241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85988-8_114
Download citation
DOI: https://doi.org/10.1007/978-3-540-85988-8_114
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85987-1
Online ISBN: 978-3-540-85988-8
eBook Packages: Computer ScienceComputer Science (R0)