Portrait of Lune Bellec

Lune Bellec

Affiliate Member
Associate Professor, Université de Montréal, Department of Psychology
Research Topics
Computational Neuroscience
Medical Machine Learning
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Biography

I am an associate professor in the Department of Psychology at Université de Montréal, and a principal investigator at SIMEXP – Laboratory for Brain Simulation and Exploration at the CRIUGM (research centre of the Montréal university geriatrics institute). I recently joined Mila – Quebec Artificial Intelligence Institute as an affiliate member, and I also supervise students in computer science (cognitive computational neuroscience) at the Department of Computer Science and Operations Research (DIRO), Université de Montréal.

My main research interest is training artificial neural networks to jointly mimic individual human brain activity and behaviour. To achieve this goal, I lead an intensive effort in individual data collection in neuroimaging (fMRI, MEG) and the Courtois project on neuronal modelling (CNeuroMod). I am a senior Fonds de recherche du Québec - Santé (FRQS) scholar, a member of UNIQUE (Quebec alliance for unifying neuroscience and AI), and the scientific director of the CRIUGM’s functional neuroimaging unit.

Current Students

François Paugam
PhD - Université de Montréal
Co-supervisor :
Guillaume Lajoie
Github
Pravish Sainath
PhD - Université de Montréal
Principal supervisor :
Guillaume Lajoie
Github

Publications

Mutations associated with neuropsychiatric conditions delineate functional brain connectivity dimensions contributing to autism and schizophrenia
Clara A. Moreau
Sebastian G. W. Urchs
Kumar Kuldeep
Pierre Orban
Catherine Schramm
Guillaume Dumas
Aurélie Labbe
Guillaume Huguet
Elise Douard
Pierre-Olivier Quirion
Amy Lin
Leila Kushan
Stephanie Grot
David Luck
Adrianna Mendrek
Stephane Potvin
Emmanuel Stip
Thomas Bourgeron
Alan C. Evans
Carrie E. Bearden … (see 2 more)
Lune Bellec
Sébastien Jacquemont
2020-10-19
Nature Communications (published)
doi.org
Neuropsychiatric mutations delineate functional brain connectivity dimensions contributing to autism and schizophrenia
Clara A. Moreau
Sebastian Urchs
Pierre Orban
Catherine Schramm
Guillaume Dumas
Aurélie Labbe
Guillaume Huguet
Elise Douard
Pierre-Olivier Quirion
Amy Lin
Leila Kushan
Stephanie Grot
David Luck
Adrianna Mendrek
Stephane Potvin
Emmanuel Stip
Thomas Bourgeron
Alan C. Evans
Carrie E. Bearden
Lune Bellec … (see 1 more)
Sébastien Jacquemont
16p11.2 and 22q11.2 Copy Number Variants (CNVs) confer high risk for Autism Spectrum Disorder (ASD), schizophrenia (SZ), and Attention-Defic… (see more)it-Hyperactivity-Disorder (ADHD), but their impact on functional connectivity (FC) remains unclear. We analyzed resting-state functional magnetic resonance imaging data from 101 CNV carriers, 755 individuals with idiopathic ASD, SZ, or ADHD and 1,072 controls. We used CNV FC-signatures to identify dimensions contributing to complex idiopathic conditions. CNVs had large mirror effects on FC at the global and regional level. Thalamus, somatomotor, and posterior insula regions played a critical role in dysconnectivity shared across deletions, duplications, idiopathic ASD, SZ but not ADHD. Individuals with higher similarity to deletion FC-signatures exhibited worse cognitive and behavioral symptoms. Deletion similarities identified at the connectivity level could be related to the redundant associations observed genome-wide between gene expression spatial patterns and FC-signatures. Results may explain why many CNVs affect a similar range of neuropsychiatric symptoms.
2019-12-06
bioRxiv (preprint)
doi.org