activity
20142023
most citedStatistical power and prediction accuracy in multisite resting-state fMRI connectivity

103 citations · 126 across the 6 of their papers we have counts for

collaborators

7 papers

physics.med-ph2023★ 3 cited

A numerical variability approach to results stability tests and its application to neuroimaging

Yohan Chatelain, Loïc Tetrel, Christopher J. Markiewicz +5

Ensuring the long-term reproducibility of data analyses requires results stability tests to verify that analysis results remain within acceptable variation bounds despite inevitabl…

q-bio.QM2017★ 4 cited

A brain signature highly predictive of future progression to Alzheimer's dementia

Christian Dansereau, Angela Tam, AmanPreet Badhwar +4

Early prognosis of Alzheimer's dementia is hard. Mild cognitive impairment (MCI) typically precedes Alzheimer's dementia, yet only a fraction of MCI individuals will progress to de…

cs.SE2017★ 2 cited

Boutiques: a flexible framework for automated application integration in computing platforms

Tristan Glatard, Gregory Kiar, Tristan Aumentado-Armstrong +17

We present Boutiques, a system to automatically publish, integrate and execute applications across computational platforms. Boutiques applications are installed through software co…

q-bio.QM2016★ 103 cited

Statistical power and prediction accuracy in multisite resting-state fMRI connectivity

Christian Dansereau, Yassine Benhajali, Celine Risterucci +4

Connectivity studies using resting-state functional magnetic resonance imaging are increasingly pooling data acquired at multiple sites. While this may allow investigators to speed…

stat.CO2016

Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data

Hien D Nguyen, Geoffrey J McLachlan, Pierre Orban +2

Mixture of autoregressions (MoAR) models provide a model-based approach to the clustering of time series data. The maximum likelihood (ML) estimation of MoAR models requires the ev…

stat.ML2015★ 13 cited

A Bayesian alternative to mutual information for the hierarchical clustering of dependent random variables

Guillaume Marrelec, Arnaud Messé, Pierre Bellec

The use of mutual information as a similarity measure in agglomerative hierarchical clustering (AHC) raises an important issue: some correction needs to be applied for the dimensio…

q-bio.QM2014★ 1 cited

Multiscale statistical testing for connectome-wide association studies in fMRI

P. Bellec, Y. Benhajali, F. Carbonell +8

Alterations in brain connectivity have been associated with a variety of clinical disorders using functional magnetic resonance imaging (fMRI). We investigated empirically how the…