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Randomized parcellation based inference

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Randomized parcellation based inference. / Da Mota, Benoit; Fritsch, Virgile; Varoquaux, Gaël; Banaschewski, Tobias; Barker, Gareth J; Bokde, Arun L W; Bromberg, Uli; Conrod, Patricia; Gallinat, Jürgen; Garavan, Hugh; Martinot, Jean-Luc; Nees, Frauke; Paus, Tomas; Pausova, Zdenka; Rietschel, Marcella; Smolka, Michael N; Ströhle, Andreas; Frouin, Vincent; Poline, Jean-Baptiste; Thirion, Bertrand; IMAGEN Consortium.

In: NEUROIMAGE, Vol. 89, 01.04.2014, p. 203-15.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Da Mota, B, Fritsch, V, Varoquaux, G, Banaschewski, T, Barker, GJ, Bokde, ALW, Bromberg, U, Conrod, P, Gallinat, J, Garavan, H, Martinot, J-L, Nees, F, Paus, T, Pausova, Z, Rietschel, M, Smolka, MN, Ströhle, A, Frouin, V, Poline, J-B, Thirion, B & IMAGEN Consortium 2014, 'Randomized parcellation based inference', NEUROIMAGE, vol. 89, pp. 203-15. https://doi.org/10.1016/j.neuroimage.2013.11.012

APA

Da Mota, B., Fritsch, V., Varoquaux, G., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Bromberg, U., Conrod, P., Gallinat, J., Garavan, H., Martinot, J-L., Nees, F., Paus, T., Pausova, Z., Rietschel, M., Smolka, M. N., Ströhle, A., Frouin, V., Poline, J-B., ... IMAGEN Consortium (2014). Randomized parcellation based inference. NEUROIMAGE, 89, 203-15. https://doi.org/10.1016/j.neuroimage.2013.11.012

Vancouver

Da Mota B, Fritsch V, Varoquaux G, Banaschewski T, Barker GJ, Bokde ALW et al. Randomized parcellation based inference. NEUROIMAGE. 2014 Apr 1;89:203-15. https://doi.org/10.1016/j.neuroimage.2013.11.012

Bibtex

@article{a22d7c2f28744622a39677bbfe0820d2,
title = "Randomized parcellation based inference",
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.",
author = "{Da Mota}, Benoit and Virgile Fritsch and Ga{\"e}l Varoquaux and Tobias Banaschewski and Barker, {Gareth J} and Bokde, {Arun L W} and Uli Bromberg and Patricia Conrod and J{\"u}rgen Gallinat and Hugh Garavan and Jean-Luc Martinot and Frauke Nees and Tomas Paus and Zdenka Pausova and Marcella Rietschel and Smolka, {Michael N} and Andreas Str{\"o}hle and Vincent Frouin and Jean-Baptiste Poline and Bertrand Thirion and {IMAGEN Consortium}",
note = "Copyright {\textcopyright} 2013 Elsevier Inc. All rights reserved.",
year = "2014",
month = apr,
day = "1",
doi = "10.1016/j.neuroimage.2013.11.012",
language = "English",
volume = "89",
pages = "203--15",
journal = "NEUROIMAGE",
issn = "1053-8119",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Randomized parcellation based inference

AU - Da Mota, Benoit

AU - Fritsch, Virgile

AU - Varoquaux, Gaël

AU - Banaschewski, Tobias

AU - Barker, Gareth J

AU - Bokde, Arun L W

AU - Bromberg, Uli

AU - Conrod, Patricia

AU - Gallinat, Jürgen

AU - Garavan, Hugh

AU - Martinot, Jean-Luc

AU - Nees, Frauke

AU - Paus, Tomas

AU - Pausova, Zdenka

AU - Rietschel, Marcella

AU - Smolka, Michael N

AU - Ströhle, Andreas

AU - Frouin, Vincent

AU - Poline, Jean-Baptiste

AU - Thirion, Bertrand

AU - IMAGEN Consortium

N1 - Copyright © 2013 Elsevier Inc. All rights reserved.

PY - 2014/4/1

Y1 - 2014/4/1

N2 - 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.

AB - 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.

U2 - 10.1016/j.neuroimage.2013.11.012

DO - 10.1016/j.neuroimage.2013.11.012

M3 - SCORING: Journal article

C2 - 24262376

VL - 89

SP - 203

EP - 215

JO - NEUROIMAGE

JF - NEUROIMAGE

SN - 1053-8119

ER -