Portrait de Lune Bellec

Lune Bellec

Membre affilié
Professeur agrégé, Université de Montréal, Département de psychologie
Sujets de recherche
Apprentissage automatique médical
Neurosciences computationnelles
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Biographie

Je suis professeur agrégé au Département de psychologie de l'Université de Montréal et chercheur principal du Laboratoire de simulation cérébrale et d'exploration (SIMEXP) de l'Institut universitaire de gériatrie de Montréal (CRIUGM). Je me suis joint récemment à Mila – Institut québécois d'intelligence artificielle en tant que membre affilié et je supervise des étudiant·e·s en informatique (neurosciences computationnelles cognitives) au Département d’informatique et de recherche opérationnelle (DIRO) de l'Université de Montréal. Mes travaux de recherche consistent principalement à entraîner des réseaux neuronaux artificiels afin de reproduire conjointement l'activité cérébrale et le comportement individuel humain. Pour atteindre cet objectif, je dirige un effort intensif de collecte de données individuelles en neuro-imagerie (IRM fonctionnelle, magnétoencéphalographie) : le projet Courtois sur la modélisation neuronale (CNeuroMod). Je suis en outre chercheur-boursier sénior du Fonds de recherche du Québec - Santé (FRQS), membre de l'Alliance québécoise pour l'unification des neurosciences et de l'IA (UNIQUE) et directeur scientifique de l'Unité de neuro-imagerie fonctionnelle (UNF) du CRIUGM.

Étudiants actuels

Maximilien Le Clei
Doctorat - UdeM
François Paugam
Doctorat - UdeM
Co-superviseur⋅e :
Guillaume Lajoie
Github
Pravish Sainath
Doctorat - UdeM
Superviseur⋅e principal⋅e :
Guillaume Lajoie
Github

Publications

Functional connectivity subtypes associate robustly with ASD diagnosis
Sebastian G. W. Urchs
Angela Tam
Pierre Orban
Clara A. Moreau
Yassine Benhajali
Hien Duy Nguyen
Alan C. Evans
Lune Bellec
Our understanding of the changes in functional brain organization in autism is hampered by the extensive heterogeneity that characterizes th… (voir plus)is neurodevelopmental disorder. Data driven clustering offers a straightforward way to decompose autism heterogeneity into subtypes of connectivity and promises an unbiased framework to investigate behavioral symptoms and causative genetic factors. Yet, the robustness and generalizability of functional connectivity subtypes is unknown. Here, we show that a simple hierarchical cluster analysis can robustly relate a given individual and brain network to a connectivity subtype, but that continuous assignments are more robust than discrete ones. We also found that functional connectivity subtypes are moderately associated with the clinical diagnosis of autism, and these associations generalize to independent replication data. We explored systematically 18 different brain networks as we expected them to associate with different behavioral profiles as well as different key regions. Contrary to this prediction, autism functional connectivity subtypes converged on a common topography across different networks, consistent with a compression of the primary gradient of functional brain organization, as previously reported in the literature. Our results support the use of data driven clustering as a reliable data dimensionality reduction technique, where any given dimension only associates moderately with clinical manifestations.
2022-10-04
eLife (publié)
doi.org
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
Rémi Gau
Stephanie Noble
Katja Heuer
Katherine L. Bottenhorn
Isil P. Bilgin
Yu-Fang Yang
Julia M. Huntenburg
Johanna M.M. Bayer
Richard A.I. Bethlehem
Shawn A. Rhoads
Christoph Vogelbacher
V. Borghesani
Elizabeth Levitis
Hao-Ting Wang
Sofie Van Den Bossche
Xenia Kobeleva
Jon Haitz Legarreta
Samuel Guay
Selim Melvin Atay
Gael Varoquaux … (voir 199 de plus)
Dorien C. Huijser
Malin S. Sandström
Peer Herholz
Samuel A. Nastase
AmanPreet Badhwar
Guillaume Dumas
Simon Schwab
Stefano Moia
Michael Dayan
Yasmine Bassil
Paula P. Brooks
Matteo Mancini
James M. Shine
David O’Connor
Xihe Xie
Davide Poggiali
Patrick Friedrich
Anibal S. Heinsfeld
Lydia Riedl
Roberto Toro
César Caballero-Gaudes
Anders Eklund
Kelly G. Garner
Christopher R. Nolan
Damion V. Demeter
Fernando A. Barrios
Junaid S. Merchant
Elizabeth A. McDevitt
Robert Oostenveld
R. Cameron Craddock
Ariel Rokem
Andrew Doyle
Satrajit S. Ghosh
Aki Nikolaidis
Olivia W. Stanley
Eneko Uruñuela
Nasim Anousheh
Aurina Arnatkeviciute
Guillaume Auzias
Dipankar Bachar
Elise Bannier
Ruggero Basanisi
Arshitha Basavaraj
Marco Bedini
Lune Bellec
R. Austin Benn
Kathryn Berluti
Steffen Bollmann
Saskia Bollmann
Claire Bradley
Jesse Brown
Augusto Buchweitz
Patrick Callahan
Micaela Y. Chan
Bramsh Q. Chandio
Theresa Cheng
Sidhant Chopra
Ai Wern Chung
Thomas G. Close
Etienne Combrisson
Giorgia Cona
R. Todd Constable
Claire Cury
Kamalaker Dadi
Pablo F. Damasceno
Samir Das
Fabrizio De Vico Fallani
Krista DeStasio
Erin W. Dickie
Lena Dorfschmidt
Eugene P. Duff
Elizabeth DuPre
Sarah Dziura
Nathalia B. Esper
Oscar Esteban
Shreyas Fadnavis
Guillaume Flandin
Jessica E. Flannery
John Flournoy
Stephanie J. Forkel
Alexandre R. Franco
Saampras Ganesan
Siyuan Gao
José C. García Alanis
Eleftherios Garyfallidis
Tristan Glatard
Enrico Glerean
Javier Gonzalez-Castillo
Cassandra D. Gould van Praag
Abigail S. Greene
Geetika Gupta
Catherine Alice Hahn
Yaroslav O. Halchenko
Daniel Handwerker
Thomas S. Hartmann
Valérie Hayot-Sasson
Stephan Heunis
Felix Hoffstaedter
Daniela M. Hohmann
Corey Horien
Horea-Ioan Ioanas
Alexandru Iordan
Chao Jiang
Michael Joseph
Jason Kai
Agah Karakuzu
David N. Kennedy
Anisha Keshavan
Ali R. Khan
Gregory Kiar
P. Christiaan Klink
Vincent Koppelmans
Serge Koudoro
Angela R. Laird
Georg Langs
Marissa Laws
Roxane Licandro
Sook-Lei Liew
Tomislav Lipic
Krisanne Litinas
Daniel J. Lurie
Désirée Lussier
Christopher R. Madan
Lea-Theresa Mais
Sina Mansour L
J.P. Manzano-Patron
Dimitra Maoutsa
Matheus Marcon
Daniel S. Margulies
Giorgio Marinato
Daniele Marinazzo
Christopher J. Markiewicz
Camille Maumet
Felipe Meneguzzi
David Meunier
Michael P. Milham
Kathryn L. Mills
Davide Momi
Clara A. Moreau
Aysha Motala
Iska Moxon-Emre
Thomas E. Nichols
Dylan M. Nielson
Gustav Nilsonne
Lisa Novello
Caroline O’Brien
Emily Olafson
Lindsay D. Oliver
John A. Onofrey
Edwina R. Orchard
Kendra Oudyk
Patrick J. Park
Mahboobeh Parsapoor
Lorenzo Pasquini
Scott Peltier
Cyril R. Pernet
Rudolph Pienaar
Pedro Pinheiro-Chagas
Jean-Baptiste Poline
Anqi Qiu
Tiago Quendera
Laura C. Rice
Joscelin Rocha-Hidalgo
Saige Rutherford
Mathias Scharinger
Dustin Scheinost
Deena Shariq
Thomas B. Shaw
Viviana Siless
Molly Simmonite
Nikoloz Sirmpilatze
Hayli Spence
Julia Sprenger
Andrija Stajduhar
Martin Szinte
Sylvain Takerkart
Angela Tam
Link Tejavibulya
Michel Thiebaut de Schotten
Ina Thome
Laura Tomaz da Silva
Nicolas Traut
Lucina Q. Uddin
Antonino Vallesi
John W. VanMeter
Nandita Vijayakumar
Matteo Visconti di Oleggio Castello
Jakub Vohryzek
Jakša Vukojević
Kirstie Jane Whitaker
Lucy Whitmore
Steve Wideman
Suzanne T. Witt
Hua Xie
Ting Xu
Chao-Gan Yan
Fang-Cheng Yeh
B.T. Thomas Yeo
Xi-Nian Zuo
2021-06-01
Neuron (publié)
doi.org
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 … (voir 2 de plus)
Lune Bellec
Sébastien Jacquemont
2020-10-19
Nature Communications (publié)
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 … (voir 1 de plus)
Sébastien Jacquemont
16p11.2 and 22q11.2 Copy Number Variants (CNVs) confer high risk for Autism Spectrum Disorder (ASD), schizophrenia (SZ), and Attention-Defic… (voir plus)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 (prépublication)
doi.org