Recent Publications

Dadi, K., Varoquaux, G., Houenou, J., Bzdok, D., Thirion, B. and Engemann, D. (2020). Beyond brain age: Empirically-derived proxy measures of mental health. [www] [BibTeX]

@unpublished{dadi:hal-02929857,
 author = {Dadi, K., Varoquaux, G., Houenou, J., Bzdok, D., Thirion, B. and Engemann, D.},
 doi = {10.1101/2020.08.25.266536},
 hal_id = {hal-02929857},
 hal_version = {v1},
 month = {September},
 note = {working paper or preprint},
 title = {{Beyond brain age: Empirically-derived proxy measures of mental health}},
 url = {https://hal.inria.fr/hal-02929857},
 year = {2020}
}

Dadi, K., Varoquaux, G., Machlouzarides-Shalit, A., Gorgolewski, K., Wassermann, D., Thirion, B. and Mensch, A. (2020). Fine-grain atlases of functional modes for fMRI analysis. {NeuroImage} . [www] [BibTeX]

@article{dadi:hal-02904869,
 author = {Dadi, K., Varoquaux, G., Machlouzarides-Shalit, A., Gorgolewski, K., Wassermann, D., Thirion, B. and Mensch, A.},
 hal_id = {hal-02904869},
 hal_version = {v1},
 journal = {{NeuroImage}},
 keywords = {Brain imaging atlases ; Functional networks ; Functional parcellations ; Multi-resolution},
 month = {July},
 number = {221},
 pages = {117126},
 pdf = {https://hal.inria.fr/hal-02904869/file/revised3.pdf},
 publisher = {{Elsevier}},
 title = {{Fine-grain atlases of functional modes for fMRI analysis}},
 url = {https://hal.inria.fr/hal-02904869},
 year = {2020}
}

Nguyen, T., Chevalier, J., Thirion, B. and Arlot, S. (2020). Aggregation of Multiple Knockoffs. {37th International Conference on Machine Learning, PMLR 119, 2020} [www] [BibTeX]

@inproceedings{nguyen:hal-02888693,
 address = {Vienne, Austria},
 author = {Nguyen, T., Chevalier, J., Thirion, B. and Arlot, S.},
 booktitle = {{37th International Conference on Machine Learning, PMLR 119, 2020}},
 hal_id = {hal-02888693},
 hal_version = {v1},
 month = {July},
 pdf = {https://hal.archives-ouvertes.fr/hal-02888693/file/ako.pdf},
 title = {{Aggregation of Multiple Knockoffs}},
 url = {https://hal.archives-ouvertes.fr/hal-02888693},
 year = {2020}
}

Botvinik-Nezer, R., Holzmeister, F., Camerer, C., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Iwanir, R., Mumford, J., Adcock, R., Avesani, P., Baczkowski, B., Bajracharya, A., Bakst, L., Ball, S., Barilari, M., Bault, N., Beaton, D., Beitner, J., Benoit, R., Berkers, R., Bhanji, J., Biswal, B., Bobadilla-Suarez, S., Bortolini, T., Bottenhorn, K., Bowring, A., Braem, S., Brooks, H., Brudner, E., Calderon, C., Camilleri, J., Castrellon, J., Cecchetti, L., Cieslik, E., Cole, Z., Collignon, O., Cox, R., Cunningham, W., Czoschke, S., Dadi, K., Davis, C., Luca, A., Delgado, M., Demetriou, L., Dennison, J., Di, X., Dickie, E., Dobryakova, E., Donnat, C., Dukart, J., Duncan, N., Durnez, J., Eed, A., Eickhoff, S., Erhart, A., Fontanesi, L., Fricke, G., Fu, S., Galv{\'a}n, A., Gau, R., Genon, S., Glatard, T., Glerean, E., Goeman, J., Golowin, S., Gonz{\'a}lez-Garc{\'i}a, C., Gorgolewski, K., Grady, C., Green, M., Guassi Moreira, J., Guest, O., Hakimi, S., Hamilton, J., Hancock, R., Handjaras, G., Harry, B., Hawco, C., Herholz, P., Herman, G., Heunis, S., Hoffstaedter, F., Hogeveen, J., Holmes, S., Hu, C., Huettel, S., Hughes, M., Iacovella, V., Iordan, A., Isager, P., Isik, A., Jahn, A., Johnson, M., Johnstone, T., Joseph, M., Juliano, A., Kable, J., Kassinopoulos, M., Koba, C., Kong, X., Koscik, T., Kucukboyaci, N., Kuhl, B., Kupek, S., Laird, A., Lamm, C., Langner, R., Lauharatanahirun, N., Lee, H., Lee, S., Leemans, A., Leo, A., Lesage, E., Li, F., Li, M., Lim, P., Lintz, E., Liphardt, S., Losecaat Vermeer, A., Love, B., Mack, M., Malpica, N., Marins, T., Maumet, C., McDonald, K., McGuire, J., Melero, H., M{\'e}ndez Leal, A., Meyer, B., Meyer, K., Mihai, G., Mitsis, G., Moll, J., Nielson, D., Nilsonne, G., Notter, M., Olivetti, E., Onicas, A., Papale, P., Patil, K., Peelle, J., P{\'e}rez, A., Pischedda, D., Poline, J., Prystauka, Y., Ray, S., Reuter-Lorenz, P., Reynolds, R., Ricciardi, E., Rieck, J., Rodriguez-Thompson, A., Romyn, A., Salo, T., Samanez-Larkin, G., Sanz-Morales, E., Schlichting, M., Schultz, D., Shen, Q., Sheridan, M., Silvers, J., Skagerlund, K., Smith, A., Smith, D., Sokol-Hessner, P., Steinkamp, S., Tashjian, S., Thirion, B., Thorp, J., Tingh{\"o}g, G., Tisdall, L., Tompson, S., Toro-Serey, C., Torre Tresols, J., Tozzi, L., Truong, V., Turella, L., van ‘t Veer, A., Verguts, T., Vettel, J., Vijayarajah, S., Vo, K., Wall, M., Weeda, W., Weis, S., White, D., Wisniewski, D., Xifra-Porxas, A., Yearling, E., Yoon, S., Yuan, R., Yuen, K., Zhang, L., Zhang, X., Zosky, J., Nichols, T., Poldrack, R. and Schonberg, T. (2020). Variability in the analysis of a single neuroimaging dataset by many teams. {Nature} 582: (84-88). [www] [BibTeX]

@article{botviniknezer:inserm-02914443,
 author = {Botvinik-Nezer, R., Holzmeister, F., Camerer, C., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Iwanir, R., Mumford, J., Adcock, R., Avesani, P., Baczkowski, B., Bajracharya, A., Bakst, L., Ball, S., Barilari, M., Bault, N., Beaton, D., Beitner, J., Benoit, R., Berkers, R., Bhanji, J., Biswal, B., Bobadilla-Suarez, S., Bortolini, T., Bottenhorn, K., Bowring, A., Braem, S., Brooks, H., Brudner, E., Calderon, C., Camilleri, J., Castrellon, J., Cecchetti, L., Cieslik, E., Cole, Z., Collignon, O., Cox, R., Cunningham, W., Czoschke, S., Dadi, K., Davis, C., Luca, A., Delgado, M., Demetriou, L., Dennison, J., Di, X., Dickie, E., Dobryakova, E., Donnat, C., Dukart, J., Duncan, N., Durnez, J., Eed, A., Eickhoff, S., Erhart, A., Fontanesi, L., Fricke, G., Fu, S., Galv{\'a}n, A., Gau, R., Genon, S., Glatard, T., Glerean, E., Goeman, J., Golowin, S., Gonz{\'a}lez-Garc{\'i}a, C., Gorgolewski, K., Grady, C., Green, M., Guassi Moreira, J., Guest, O., Hakimi, S., Hamilton, J., Hancock, R., Handjaras, G., Harry, B., Hawco, C., Herholz, P., Herman, G., Heunis, S., Hoffstaedter, F., Hogeveen, J., Holmes, S., Hu, C., Huettel, S., Hughes, M., Iacovella, V., Iordan, A., Isager, P., Isik, A., Jahn, A., Johnson, M., Johnstone, T., Joseph, M., Juliano, A., Kable, J., Kassinopoulos, M., Koba, C., Kong, X., Koscik, T., Kucukboyaci, N., Kuhl, B., Kupek, S., Laird, A., Lamm, C., Langner, R., Lauharatanahirun, N., Lee, H., Lee, S., Leemans, A., Leo, A., Lesage, E., Li, F., Li, M., Lim, P., Lintz, E., Liphardt, S., Losecaat Vermeer, A., Love, B., Mack, M., Malpica, N., Marins, T., Maumet, C., McDonald, K., McGuire, J., Melero, H., M{\'e}ndez Leal, A., Meyer, B., Meyer, K., Mihai, G., Mitsis, G., Moll, J., Nielson, D., Nilsonne, G., Notter, M., Olivetti, E., Onicas, A., Papale, P., Patil, K., Peelle, J., P{\'e}rez, A., Pischedda, D., Poline, J., Prystauka, Y., Ray, S., Reuter-Lorenz, P., Reynolds, R., Ricciardi, E., Rieck, J., Rodriguez-Thompson, A., Romyn, A., Salo, T., Samanez-Larkin, G., Sanz-Morales, E., Schlichting, M., Schultz, D., Shen, Q., Sheridan, M., Silvers, J., Skagerlund, K., Smith, A., Smith, D., Sokol-Hessner, P., Steinkamp, S., Tashjian, S., Thirion, B., Thorp, J., Tingh{\"o}g, G., Tisdall, L., Tompson, S., Toro-Serey, C., Torre Tresols, J., Tozzi, L., Truong, V., Turella, L., van ‘t Veer, A., Verguts, T., Vettel, J., Vijayarajah, S., Vo, K., Wall, M., Weeda, W., Weis, S., White, D., Wisniewski, D., Xifra-Porxas, A., Yearling, E., Yoon, S., Yuan, R., Yuen, K., Zhang, L., Zhang, X., Zosky, J., Nichols, T., Poldrack, R. and Schonberg, T.},
 doi = {10.1038/s41586-020-2314-9},
 hal_id = {inserm-02914443},
 hal_version = {v1},
 journal = {{Nature}},
 month = {June},
 number = {7810},
 pages = {84-88},
 title = {{Variability in the analysis of a single neuroimaging dataset by many teams}},
 url = {https://www.hal.inserm.fr/inserm-02914443},
 volume = {582},
 year = {2020}
}

Dock{\`e}s, J., Poldrack, R., Primet, R., G{\"o}z{\"u}kan, H., Yarkoni, T., Suchanek, F., Thirion, B. and Varoquaux, G. (2020). NeuroQuery, comprehensive meta-analysis of human brain mapping. {eLife} . [www] [BibTeX]

@article{dockes:hal-02485642,
 author = {Dock{\`e}s, J., Poldrack, R., Primet, R., G{\"o}z{\"u}kan, H., Yarkoni, T., Suchanek, F., Thirion, B. and Varoquaux, G.},
 hal_id = {hal-02485642},
 hal_version = {v2},
 journal = {{eLife}},
 month = {March},
 pdf = {https://hal.archives-ouvertes.fr/hal-02485642/file/main.pdf},
 publisher = {{eLife Sciences Publication}},
 title = {{NeuroQuery, comprehensive meta-analysis of human brain mapping}},
 url = {https://hal.archives-ouvertes.fr/hal-02485642},
 year = {2020}
}

@unpublished{dadi:hal-02496156,
 author = {Dadi, K., Varoquaux, G., Machlouzarides-Shalit, A., Gorgolewski, K., Wassermann, D., Thirion, B. and Mensch, A.},
 hal_id = {hal-02496156},
 hal_version = {v1},
 keywords = {Functional parcellations ; Brain imaging atlases ; Multi-resolution ; Functional networks},
 month = {March},
 note = {working paper or preprint},
 pdf = {https://hal.archives-ouvertes.fr/hal-02496156/file/paper.pdf},
 title = {{Fine-grain atlases of functional modes for fMRI analysis}},
 url = {https://hal.archives-ouvertes.fr/hal-02496156},
 year = {2020}
}

Huchuan Xia, C., Ma, Z., Cui, Z., Bzdok, D., Thirion, B., Bassett, D., Satterthwaite, T., Shinohara, R. and Witten, D. (2020). Multi-Scale Network Regression for Brain-Phenotype Associations. {Human Brain Mapping} . [www] [BibTeX]

@article{huchuanxia:hal-02523974,
 author = {Huchuan Xia, C., Ma, Z., Cui, Z., Bzdok, D., Thirion, B., Bassett, D., Satterthwaite, T., Shinohara, R. and Witten, D.},
 doi = {10.1002/hbm.24982},
 hal_id = {hal-02523974},
 hal_version = {v1},
 journal = {{Human Brain Mapping}},
 keywords = {Network neuroscience ; Functional connectivity ; Multivariate analysis},
 pdf = {https://hal.archives-ouvertes.fr/hal-02523974/file/Cedric_Witten_2020_HBM_multiscale.pdf},
 publisher = {{Wiley}},
 title = {{Multi-Scale Network Regression for Brain-Phenotype Associations}},
 url = {https://hal.archives-ouvertes.fr/hal-02523974},
 year = {2020}
}

Full list of publications

Tweets by bthirion

Short Bio

Bertrand Thirion is the leader of the Parietal team, part of Inria research institute, Saclay, France, that develops statistics and machine learning techniques for brain imaging. He contributes both algorithms and software, with a special focus on functional neuroimaging applications. He is involved in the Neurospin, CEA neuroimaging center, one of the leading high-field MRI for brain imaging places. From 2018 to 2021, Bertrand Thirion has been the head of the DATAIA Institute that federates research on AI, data science and their societal impact in Paris-Saclay University. In 2020, he has recently been appointed as member of the expert committee in charge of advising the government during the Covid-19 pandemic. In 2021, he has become the Head of science (délégué scientifique) of the Inria Saclay-Île-de-France research center. Bertrand Thirion is PI of the Karaib AI Chair of the Individual Brain CHarting project.

Contact

Email: bertrand.thirion@inria.fr

Address: Inria Saclay Île-de-France, Bâtiment Alan Turing, 1 rue Honoré d'Estienne d'Orves, Campus de l'École Polytechnique 91120 Palaiseau

Software

Nilearn - A package for statistical analysis and machine learning on functional Magnetic resonance Imaging (fMRI) data
Scikit-Learn - Machine learning in Python

Team

Engineers

Post-docs

Judith Abecassis
Jerome-Alexis Chevalier (coadvised with Joseph Salmon)

PhD Students

Tuan Binh Nguyen (coadvised with Sylvain Arlot)
Thomas Bazeille
Hugo Richard (coadvised with Aapo Hyv\¨arinen)
Alexandre Pasquiou coadvised with Christophe Pallier
Jospeh Benzakoun (coadvised with Catherine Oppenheim)
Ahmad Chamma co-advised with Denis Engemann
Raphael Meudec
Alexis Thual co advised with Stanislas Dehaene

Alumni

[Ana Luisa Grilo Pinho]
[Kamalaker Dadi]
[Juan Jesus Tresols]
[Lucas Martin]
[Jérôme Dockès]
[Elvis Dohmatob]

Positions

PhD/Post-doc positions on machine learning and statistics with applications in neuroimaging (functional Magnetic Resonance Imaging).

This list is fuzzy so please contact me directly for potential opportunities.

Teaching

Functional brain imaging course in Master MVA Ecole Normale Supérieure de Paris Saclay: Covers the machine learning and statistical aspects of modern brain imaging, with an emphasis on cognitive analysis and population studies.