Conférence cerebrum - Dr. Narun Pat, University of Otago, NZ

Conférences et ateliers du cerebrum
 

Conférence présentée par: Dr. Narun Pat, University of Otago, NZ

Titre de la conférence : Toward building neuroimaging biomarkers to capture the cognition-mental health relationship across the lifespan

Lieu : Pavillon Marie-Victorin, Université de Montréal, D-427

Conférence hybride: 

Lien Zoom
ID de réunion : 834 1384 4857
Code secret : Cerebrum

L’évènement sera suivi d’une période de discussion et des rafraîchissements seront servis.

L'événement sera diffusé simultanément en visioconférence pour ceux qui ne pourront pas y assister en personne.

Abstract:

The NIMH Research Domain Criteria (RDoC), a leading transdiagnostic framework in mental health, identifies cognition as one of the core functional domains underlying psychopathology across diagnoses. RDoC conceptualises the link between cognition and mental health as spanning multiple neurobiological levels of analysis—from genes to brain systems — from normal to abnormal in normative samples. However, recent studies have raised concerns about the robustness of brain MRI in capturing individual differences in cognition, casting doubt on its utility as a neuroimaging biomarker for RDoC’s cognitive domain. To address this challenge, we proposed a machine learning-based multimodal fusion approach that integrates diverse brain MRI modalities—including task-based fMRI contrasts, functional connectivity during both task and rest, and structural MRI—into a unified predictive model. Leveraging large-scale datasets across the lifespan (n > 2,100, age 22-100), we demonstrated that this multimodal fusion consistently enhances the psychometric properties of brain MRI in two key areas: a) Predictive validity—the ability to accurately predict individual cognitive performance out-of-sample, and b) Test-retest reliability—the consistency of predictions over time. We further evaluated the method’s utility in elucidating the relationship between cognition and mental health using large-scale data from the Adolescent Brain Cognitive Development (ABCD) Study and UKBiobank. Our findings revealed that neuroimaging accounted for the majority of the shared variance between cognition and mental health, higher than polygenic scores. These results suggest that multimodal fusion offers a promising pathway for developing robust neuroimaging biomarkers aligned with RDoC’s cognitive systems.