Portrait de Vincent Taschereau-Dumouchel

Vincent Taschereau-Dumouchel

Membre affilié
Professeur adjoint, Université de Montréal, Département de psychologie
Université de Montréal
Sujets de recherche
Cognition
Conscience
Conscience phénoménologique
Interfaces cerveau-ordinateur
Modèle de langage
NeuroIA
Neuroimagerie (IRMf)
Neurosciences computationnelles
Science cognitive

Biographie

Vincent Taschereau-Dumouchel est neuropsychologue et travaille à l’intersection des neurosciences cognitives, de la santé mentale et de l’intelligence artificielle.

Basé au Département de psychologie de l’Université de Montréal, il mène des recherches alliant l’IA et les neurosciences cognitives afin d’approfondir la compréhension des troubles mentaux et d’en améliorer le traitement. Son laboratoire s’intéresse particulièrement aux expériences pathologiques conscientes qui sous-tendent des affections telles que les troubles de la peur et de l’anxiété.

Son équipe se spécialise dans le développement de systèmes d’imagerie cérébrale en boucle fermée, intégrant la neuroimagerie en temps réel et l’apprentissage automatique. Il dirige actuellement des projets financés par le CRSNG (subvention à la découverte) visant à créer des systèmes coadaptatifs utilisant l’IA générative pour moduler l’activité cérébrale et l’expérience subjective. Il dirige également des projets destinés à mieux étudier l’expérience subjective du délire, de la peur et de l’anxiété à l’aide de grands modèles de langage et d’IRMf intensive (notamment financés par Beneva).

Parallèlement, le Dr Taschereau-Dumouchel est directeur de l’axe Valorisation des données de l’Alliance québécoise en santé mentale, une initiative réunissant les trois principaux centres de recherche psychiatrique affiliés aux FRQ (CR-IUSMM, Douglas et Cervo). Il dirige actuellement les efforts visant à fédérer les données cliniques entre institutions et à développer des outils d’intelligence artificielle accessibles aux chercheurs et aux cliniciens.

Publications

Bidirectional modulation of pain by neurofeedback: Preliminary findings with fMRI at 7T
Konstantin A. Demin
Jun Seo Hwang
Wonyi Che
Dongho Kim
Wani Woo
Hakwan Lau
Vincent Taschereau‐Dumouchel
Abstract Previous brain decoding studies indicate that an individual’s pain experience can be robustly predicted from distributed patterns… (voir plus) of brain activity. Two brain decoders have notably been associated respectively with the nociceptive and cognitive aspects of pain experience, the Neurologic Pain Signature (NPS) and the Stimulus-Intensity Independent Pain Signature (SIIPS). Yet, we still do not know if these brain patterns are also causally related to pain experience. To evaluate this possibility, we used high-field (7-Tesla) fMRI to test whether humans can alter their pain experience by bidirectionally modulating their pain-related brain activity in decoded neurofeedback paradigm. In a double-blind design, participants were trained to up- and down-regulate the NPS or the SIIPS. Our results indicate that participants can achieve bidirectional control of both signatures. NPS expression reliably increased during pain stimulation and covaried with both stimulus intensity and subjective ratings. In contrast, SIIPS expression did not show consistent stimulus-locked effects in the primary analyses. Importantly, reduction in pain rating was specific for SIIPS-training, whereas NPS has failed to show any consistent behavioral effect. Based on these preliminary findings, we hereby preregister a follow-up study, with specified rationale, hypotheses, experimental design, and analysis protocols.
Is the representation of fear distributed across the whole brain?
Vincent Taschereau‐Dumouchel
Marjorie Côté
Darius Valevicius
Lisa‐Marie Davignon
Marie-France Marin
Neurobagel: building an international network for distributed data discovery
Michelle Wang
Jean-Baptiste Poline
Yaroslav O. Halchenko
Jan G. Bjaalie
Katie M. Lavigne
Jeffrey Grethe
Max A. Laansma
Barbara Strasser-Kirchweger
Emile d’Angremont
David N. Kennedy
Neda Jahanshad
Sean N. Hatton
Nikhil Bhagwat
Tristan Glatard
Brent McPherson
Satrajit Ghosh
Gabriel Devenyi
Stéphane Lehéricy
Vincent Taschereau‐Dumouchel
Florian Hutzler … (voir 18 de plus)
Sebastian Urchs
Michael Hanke
Christopher J. Markiewicz
Russell A. Poldrack
Francis Jeanson
Eva van Heese
David Keator
Camille Maumet
M. Mallar Chakravarty
Franco Pestilli
Julia-Katharina Pfarr
Erin W Dickie
Alyssa Dai
Arman Jahanpour
Mathieu Dugré
Lyuba Zehl
Ysbrand van der Werf
Paul Thompson
International data privacy regulations impede the pooling of research data for collaborative analysis. We introduce Neurobagel, a federated … (voir plus)network enabling cohort discovery across locally governed, access-controlled datasets. Through intuitive graphical tools and a decentralized query infrastructure, Neurobagel facilitates harmonization, control, and discovery of data according to local regulations. Today, Neurobagel is deployed by consortia and data platforms in Europe, North America, Asia, and Australia, supporting diverse and evolving regulatory frameworks.
The ethical impasse of current consciousness science
Jun Seo Hwang
Hakwan Lau
Joseph E. LeDoux
A French Canadian adaptation and validation of the Vividness of Visual Imagery Questionnaire and Plymouth Sensory Imagery Questionnaire.
Catherine Landry
Laurence Lessard
Jeffrey Saint-Louis
Frédéric Gosselin
Guillaume T. Vallet
Mental imagery plays a central role in various cognitive processes and is increasingly investigated in cognitive science. Yet standardized t… (voir plus)ools for its assessment in French-speaking populations remain scarce. This study examined the psychometric properties of two widely used self-report instruments of mental imagery within the French Canadian population: the Vividness of Visual Imagery Questionnaire (VVIQ) and the Plymouth Sensory Imagery Questionnaire (Psi-Q)-here termed VVIQ-Québec (QC) and Psiq-QC. A total of 328 adults completed the VVIQ-QC and Psiq-QC, with a randomly selected subsample (n = 73) repeating the assessment 1 month later. Exploratory factor analysis of the VVIQ-QC (eyes-open) revealed, as in the original VVIQ, distinct factors corresponding to each prompt cluster (i.e., relative, sunrise, landscape, and storefront). The Psiq-QC yielded a six-factor solution after excluding the Body modality, diverging from the original seven-factor model. Both instruments showed strong internal consistency, temporal stability, and convergent validity. No significant effects of age, sex, or education were observed on imagery scores. These findings provide the first validated French Canadian versions of the VVIQ and Psi-Q, available via the Open Science Framework at https://osf.io/wuhja, offering reliable tools for both research and clinical applications. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
What makes a theory of consciousness unscientific?
IIT-Concerned
Derek H. Arnold
Mark G. Baxter
Tristan A. Bekinschtein
James W. Bisley
Jacob Browning
Dean V. Buonomano
David Carmel
Marisa Carrasco
Peter Carruthers
Olivia Carter
Dorita H. F. Chang
Mouslim Cherkaoui
Axel Cleeremans
Michael A. Cohen
Philip R. Corlett
Kalina Christoff
Sam Cumming … (voir 80 de plus)
Cody A. Cushing
Beatrice de Gelder
Felipe De Brigard
Daniel C. Dennett
Nadine Dijkstra
Adrien Doerig
Paul E. Dux
Stephen M. Fleming
Keith Frankish
Chris Frith
Sarah Garfinkel
Melvyn A. Goodale
Jacqueline Gottlieb
Jake R. Hanson
Ran R. Hassin
Michael H. Herzog
Cecilia Heyes
Po‐Jang Hsieh
Shao‐Min Hung
Robert W. Kentridge
Tomas Knapen
Nikos Konstantinou
Konrad P. Kording
Timo L. Kvamme
Sze Chai Kwok
Renzo C. Lanfranco
Hakwan Lau
Joseph E. LeDoux
Alan Lee
Camilo Libedinsky
Matthew D. Lieberman
Ying-Tung Lin
Kayuet Liu
Maro G. Machizawa
Julio Martínez-Trujillo
Janet Metcalfe
Matthias Michel
Kenneth D. Miller
Partha P. Mitra
Dean Mobbs
Robert M. Mok
Jorge Morales
Myrto Mylopoulos
Brian Odegaard
Charles C.-F. Or
Adrian M. Owen
David Pereplyotchik
Franco Pestilli
Megan A. K. Peters
Ian Phillips
Rosanne L. Rademaker
Dobromir Rahnev
Geraint Rees
Dario L. Ringach
Adina L. Roskies
Daniela Schiller
Aaron Schurger
D. Samuel Schwarzkopf
R. B. Y. Scott
Aaron R. Seitz
Joshua Shepherd
Juha Silvanto
Heleen A. Slagter
Barry Smith
Guillermo Solovey
David Soto
Hugo J. Spiers
Timo Stein
Vincent Taschereau‐Dumouchel
Frank Tong
Peter U. Tse
Jonas Vibell
Sebastian Watzl
Taylor W. Webb
Josh Weisberg
Thalia Wheatley
Michał Wierzchoń
Martijn E. Wokke
Karen Yan
Michał Klincewicz
Aftereffects following adaptation to face mental images
Mathias Salvas-Hébert
Frédéric Gosselin
Unveiling Mental Imagery: Enhanced Mental Images Reconstruction using EEG and the Bubbles Method
Audrey Lamy-Proulx
Laurence Leblond
Jasper van den Bosch
Catherine Landry
Peter Brotherwood
Frédéric Gosselin
Are vividness judgments in mental imagery correlated with perceptual thresholds?
Clémence Bertrand Pilon
Frédéric Gosselin
Reconstructing mental images using Bubbles and electroencephalography
Audrey Lamy-Proulx
Jasper van den Bosch
Catherine Landry
Peter Brotherwood
Frédéric Gosselin
Do visual mental imagery and exteroceptive perception rely on the same mechanisms?
Catherine Landry
Jasper JF van den Bosch
Frédéric Gosselin