Skip to Main content Skip to Navigation
Journal articles

Randomized parcellation based inference.

Benoit da Mota 1 Virgile Fritsch 1, * Gaël Varoquaux 1, 2 Tobias Banaschewski 3 Gareth J. Barker 4 Arun L. W. Bokde 5 Uli Bromberg 6 Patricia J. Conrod 7 Jürgen Gallinat 8 Hugh Garavan 9, 10 Jean-Luc Martinot 11 Frauke Nees 3 Tomáš Paus 12, 13, 14 Zdenka Pausova 15 Marcella Rietschel 16 Michael N. Smolka 17 Andreas Ströhle 18 Vincent Frouin 19 Jean-Baptiste Poline 2 Bertrand Thirion 1, 19
Abstract : Neuroimaging group analyses are used to relate inter-subject signal differences observed in brain imaging with behavioral or genetic variables and to assess risks factors of brain diseases. The lack of stability and of sensitivity of current voxel-based analysis schemes may however lead to non-reproducible results. We introduce a new approach to overcome the limitations of standard methods, in which active voxels are detected according to a consensus on several random parcellations of the brain images, while a permutation test controls the false positive risk. Both on synthetic and real data, this approach shows higher sensitivity, better accuracy and higher reproducibility than state-of-the-art methods. In a neuroimaging-genetic application, we find that it succeeds in detecting a significant association between a genetic variant next to the COMT gene and the BOLD signal in the left thalamus for a functional Magnetic Resonance Imaging contrast associated with incorrect responses of the subjects from a Stop Signal Task protocol.
Complete list of metadata
Contributor : Virgile Fritsch Connect in order to contact the contributor
Submitted on : Monday, January 6, 2014 - 1:11:30 PM
Last modification on : Tuesday, October 19, 2021 - 2:18:00 PM
Long-term archiving on: : Sunday, April 6, 2014 - 10:11:00 PM


Files produced by the author(s)



Benoit da Mota, Virgile Fritsch, Gaël Varoquaux, Tobias Banaschewski, Gareth J. Barker, et al.. Randomized parcellation based inference.. NeuroImage, Elsevier, 2013, epub ahead of print. ⟨10.1016/j.neuroimage.2013.11.012⟩. ⟨hal-00915243⟩



Record views


Files downloads