Multimodal Research Data Management in Schizophrenia: Neuroinformatics for Mental Health

The availability of multimodal data for studying the brain in health and disease has exploded over the past decade, with numerous international initiatives aimed at making data more accessible to the scientific community.

Furthermore, research data is becoming increasingly multimodal and longitudinal, with some studies collecting a wide range of data types over several years, including behavioral, neurocognitive, and neuroimaging measures, audio/video recordings, smartphone data, and biomarkers in body fluids. The availability and richness of these datasets offer exciting opportunities for the quest to better understand the structure and function of the brain, but also present unique challenges for researchers who lack the expertise or sufficient computational resources to analyze these data.

During this presentation, we will provide an overview of an ecosystem of open-source tools for capturing, managing, and analyzing these multimodal datasets, including those used for the Accelerating Medicines Partnership® for Schizophrenia (AMP SCZ) project, one of the largest prospective studies of individuals at high clinical risk of developing psychosis.

About

Sylvain Bouix is the Canada Research Chair in Neuroinformatics for Multimodal Data at the École de technologie supérieure (ETS). He leads the Neuro-iX laboratory, which focuses on developing robust software to analyze brain imaging and behavioral data for the study of mental disorders, particularly schizophrenia, brain injuries, and chronic traumatic encephalopathy.

Registration

Register here for the Zoom meeting