Danilo Bzdok

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Gregory Bell

Doctorat - McGill University

gregory.bell@mila.quebec

Jack Stanley

Doctorat - McGill University

jack.stanley@mila.quebec

Site web

justin.marotta@mila.quebec

Jakub Kopal

Postdoctorat - Université de Montréal

jakub.kopal@mila.quebec

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Justin Marotta

Maîtrise recherche - McGill University

Karam Ghanem

Maîtrise recherche - McGill University

karam.ghanem@mila.quebec

Karin Saltoun

Doctorat - McGill University

karin.saltoun@mila.quebec

Le Zhou

Doctorat - McGill University

le.zhou@mila.quebec

Liam Hodgson

Doctorat - McGill University

liam.hodgson@mila.quebec

Nicole Osayande

Maîtrise recherche - McGill University

nicole.osayande@mila.quebec

Shambhavi Aggarwal

Maîtrise recherche - McGill University

shambhavi.aggarwal@mila.quebec

Zilong Wang

Maîtrise recherche - McGill University

zilong.wang@mila.quebec

Vers une médecine personnalisée : comprendre la divergence entre l’inférence et la prédiction en biomédecine

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Billets de blogue

Towards Precision Medicine: Understanding Inference and Prediction Divergence in Biomedicine

8 octobre 2020

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Danilo Bzdok

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Publications

Bayesian stroke modeling details sex biases in the white matter substrates of aphasia

Julius M Kernbach

Gesa Hartwigsen

Jae‐Sung Lim

Hee-Joon Bae

Kyung‐Ho Yu

Gottfried Schlaug

Anna K. Bonkhoff

Natalia S. Rost

2023-03-31

Communications Biology (publié)

Transitions between cognitive topographies: contributions of network structure, neuromodulation, and disease

Andrea I. Luppi

S. Parker Singleton

Justine Y. Hansen

Amy Kuceyeski

Richard F. Betzel

Bratislav Mišić

2023-03-17

bioRxiv (prépublication)

Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study

Jianzhong Chen

L.Q.R. Ooi

Leon Qi Rong Ooi

Trevor Wei Kiat Tan

Shaoshi Zhang

Jingwei Li

Christopher L. Asplund

Simon B. Eickhoff

Avram J. Holmes

B.T. Thomas Yeo

2023-03-06

NeuroImage (publié)

The end game: respecting major sources of population diversity

Jakub Kopal

Lucina Q. Uddin

2023-03-03

Nature Methods (publié)

Rare CNVs and phenome-wide profiling highlight brain structural divergence and phenotypical convergence

Jakub Kopal

Kuldeep Kumar

Karin Saltoun

Claudia Modenato

Clara A. Moreau

Sandra Martin-Brevet

Guillaume Huguet

Martineau Jean-Louis

Charles-Olivier Martin

C.O. Martin

Zohra Saci

Nadine Younis

Petra Tamer

Elise Douard

Anne M. Maillard

Borja Rodriguez-Herreros

Aurélie Pain

Sonia Richetin

Leila Kushan

Ana I. Silva … (voir 13 de plus)

Marianne B.M. van den Bree

David E.J. Linden

M. J. Owen

Jeremy Hall

Sarah Lippé

Bogdan Draganski

Ida E. Sønderby

Ole A. Andreassen

David C. Glahn

Paul M. Thompson

Carrie E. Bearden

Sébastien Jacquemont

2023-03-02

Nature human behaviour (publié)

Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity

Xiaoxuan Yan

Ru Kong

Aihuiping Xue

Qing Yang

Csaba Orban

Lijun An

Avram J. Holmes

Xing Qian

Jianzhong Chen

Xi-Nian Zuo

Juan Helen Zhou

Marielle V Fortier

Ai Peng Tan

Peter Gluckman

Yap Seng Chong

Michael J Meaney

Simon B. Eickhoff

B.T. Thomas Yeo

2023-02-25

NeuroImage (publié)

Social isolation is linked to classical risk factors of Alzheimer’s disease-related dementias

Kimia Shafighi

Sylvia Villeneuve

Pedro Rosa‐Neto

AmanPreet Badhwar

Judes Poirier

Vaibhav Sharma

Yasser Iturria-Medina

Patricia P. Silveira

Laurette Dubé

David C. Glahn

Alzheimer’s disease and related dementias is a major public health burden – compounding over upcoming years due to longevity. Recently, … (voir plus)clinical evidence hinted at the experience of social isolation in expediting dementia onset. In 502,506 UK Biobank participants and 30,097 participants from the Canadian Longitudinal Study of Aging, we revisited traditional risk factors for developing dementia in the context of loneliness and lacking social support. Across these measures of subjective and objective social deprivation, we have identified strong links between individuals’ social capital and various indicators of Alzheimer’s disease and related dementias risk, which replicated across both population cohorts. The quality and quantity of daily social encounters had deep connections with key aetiopathological factors, which represent 1) personal habits and lifestyle factors, 2) physical health, 3) mental health, and 4) societal and external factors. Our population-scale assessment suggest that social lifestyle determinants are linked to most neurodegeneration risk factors, highlighting them promising targets for preventive clinical action.

2023-02-01

PLOS ONE (publié)

Disentangling poststroke cognitive deficits and their neuroanatomical correlates through combined multivariable and multioutcome lesion‐symptom mapping

Nick A. Weaver

Muhammad Hasnain Mamdani

Jae‐Sung Lim

J. Matthijs Biesbroek

Geert Jan Biessels

Irene M. C. Huenges Wajer

Yeonwook Kang

Beom Joon Kim

Byung‐Chul Lee

Keon‐Joo Lee

Kyung‐Ho Yu

Hee-Joon Bae

Hugo J. Kuijf

2023-01-20

Human Brain Mapping (publié)

Functional architecture of the aging brain

Roni Setton

Laetitia Mwilambwe-Tshilobo

Manesh Girn

Amber W. Lockrow

Giulia Baracchini

Alexander J. Lowe

Benjamin N. Cassidy

Jian Li

Wen-Ming Luh

Richard M. Leahy

Tian Ge

Daniel S. Margulies

Bratislav Mišić

Boris C Bernhardt

W. Dale Stevens

Felipe De Brigard

Prantik Kundu

Gary R. Turner

R. Nathan Spreng

The intrinsic functional connectome can reveal how a lifetime of learning and lived experience is represented in the functional architecture… (voir plus) of the aging brain. We investigated whether network dedifferentiation, a hallmark of brain aging, reflects a global shift in network dynamics, or comprises network-specific changes that reflect the changing landscape of aging cognition. We implemented a novel multi-faceted strategy involving multi-echo fMRI acquisition and de-noising, individualized cortical parcellation, and multivariate (gradient and edge-level) functional connectivity methods. Twenty minutes of resting-state fMRI data and cognitive assessments were collected in younger (n=181) and older (n=120) adults. Dimensionality in the BOLD signal was lower for older adults, consistent with global network dedifferentiation. Functional connectivity gradients were largely age-invariant. In contrast, edge-level connectivity showed widespread changes with age, revealing discrete, network-specific dedifferentiation patterns. Visual and somatosensory regions were more integrated within the functional connectome; default and frontoparietal regions showed greater coupling; and the dorsal attention network was less differentiated from transmodal regions. Associations with cognition suggest that the formation and preservation of integrated, large-scale brain networks supports complex cognitive abilities. However, into older adulthood, the connectome is dominated by large-scale network disintegration, global dedifferentiation and network-specific dedifferentiation associated with age-related cognitive change.

2023-01-01

(publié)

www.semanticscholar.org

Age differences in functional brain networks associated with loneliness and empathy

Laetitia Mwilambwe-Tshilobo

Roni Setton

Gary R. Turner

R. Nathan Spreng

Abstract Loneliness is associated with differences in resting-state functional connectivity (RSFC) within and between large-scale networks i… (voir plus)n early- and middle-aged adult cohorts. However, age-related changes in associations between sociality and brain function into late adulthood are not well understood. Here, we examined age differences in the association between two dimensions of sociality—loneliness and empathic responding—and RSFC of the cerebral cortex. Self-report measures of loneliness and empathy were inversely related across the entire sample of younger (mean age = 22.6y, n = 128) and older (mean age = 69.0y, n = 92) adults. Using multivariate analyses of multi-echo fMRI RSFC, we identified distinct functional connectivity patterns for individual and age group differences associated with loneliness and empathic responding. Loneliness in young and empathy in both age groups was related to greater visual network integration with association networks (e.g., default, fronto-parietal control). In contrast, loneliness was positively related to within- and between-network integration of association networks for older adults. These results extend our previous findings in early- and middle-aged cohorts, demonstrating that brain systems associated with loneliness, as well as empathy, differ in older age. Further, the findings suggest that these two aspects of social experience engage different neurocognitive processes across human life-span development.

2022-11-23

Network Neuroscience (publié)

Representational ethical model calibration

Robert Carruthers

Isabel Straw

James K. Ruffle

Daniel Herron

Amy Nelson

Delmiro Fernandez-Reyes

Geraint Rees

Parashkev Nachev

2022-11-04

NPJ Digital Medicine (publié)

arxiv.org

Endorsing Complexity Through Diversity: Computational Psychiatry Meets Big Data Analytics

Jakub Kopal

2022-08-01

Biological Psychiatry (publié)