B
Bertrand Thirion
Researcher at Université Paris-Saclay
Publications - 334
Citations - 91237
Bertrand Thirion is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Cluster analysis & Cognition. The author has an hindex of 51, co-authored 311 publications receiving 73839 citations. Previous affiliations of Bertrand Thirion include French Institute for Research in Computer Science and Automation & French Institute of Health and Medical Research.
Papers
More filters
Journal ArticleDOI
Combined permutation test and mixed‐effect model for group average analysis in fMRI
Sébastien Mériaux,Alexis Roche,Ghislaine Dehaene-Lambertz,Bertrand Thirion,Jean-Baptiste Poline +4 more
TL;DR: The likelihood ratio test is presented, potentially more sensitive than both the standard t test and its permutation‐based version, and results from the Functional Imaging Analysis Contest 2005 dataset are presented to support this claim.
Journal ArticleDOI
Mapping the asynchrony of cortical maturation in the infant brain: A MRI multi-parametric clustering approach.
Jessica Lebenberg,Jean-François Mangin,Bertrand Thirion,Cyril Poupon,Lucie Hertz-Pannier,François Leroy,Parvaneh Adibpour,Ghislaine Dehaene-Lambertz,Jessica Dubois +8 more
TL;DR: The cortical maturation was studied in infants between 1 and 5 months of age using non‐invasive Magnetic Resonance Imaging, and a multi‐parametric approach that leverages parameters complementarity, avoids reliance on pre‐defined regions of interest, and does not require spatial constraints is considered.
Proceedings Article
Discriminative Network Models of Schizophrenia
Irina Rish,Benjamin Thyreau,Bertrand Thirion,Marion Plaze,Marie-Laure Paillère-Martinot,Catherine Martelli,Jean-Luc Martinot,Jean-Baptiste Poline,Guillermo A. Cecchi +8 more
TL;DR: This work proposes a novel data-driven approach to capture emergent features using functional brain networks extracted from fMRI data, and demonstrates its advantage over traditional region-of-interest (ROI) and local, task-specific linear activation analyzes.
Proceedings ArticleDOI
Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imaging
TL;DR: A wide variety of solvers are explored and their convergence properties on fMRI data are exhibited and a variant of smooth solvers is introduced and it is shown that it is a promising approach in these settings.
Journal ArticleDOI
Very large fMRI study using the IMAGEN database: Sensitivity–specificity and population effect modeling in relation to the underlying anatomy
Benjamin Thyreau,Yannick Schwartz,Bertrand Thirion,Vincent Frouin,Eva Loth,Sabine Vollstädt-Klein,Tomáš Paus,Tomáš Paus,Tomáš Paus,Eric Artiges,Patricia J. Conrod,Gunter Schumann,Robert Whelan,Jean-Baptiste Poline,Jean-Baptiste Poline,Jean-Baptiste Poline +15 more
TL;DR: It is concluded that adding matter information consistently improves the quantitative analysis of BOLD responses in some areas of the brain, particularly those where accurate inter-subject registration remains challenging.