A5043085566- Mental Health Research Topics
- Digital Mental Health Interventions
- Treatment of Major Depression
- Artificial Intelligence in Healthcare and Education
- Machine Learning in Healthcare
- Neuroinflammation and Neurodegeneration Mechanisms
- Mental Health Treatment and Access
- Tryptophan and brain disorders
- Functional Brain Connectivity Studies
- Stress Responses and Cortisol
- Neurogenesis and neuroplasticity mechanisms
- Single-cell and spatial transcriptomics
- Health Systems, Economic Evaluations, Quality of Life
- Suicide and Self-Harm Studies
- Congenital heart defects research
- Caveolin-1 and cellular processes
- Computational Drug Discovery Methods
- Olfactory and Sensory Function Studies
- Immune cells in cancer
- Fatty Acid Research and Health
- Proteoglycans and glycosaminoglycans research
- Metabolomics and Mass Spectrometry Studies
- T-cell and B-cell Immunology
- Infectious Encephalopathies and Encephalitis
- Ethics and Social Impacts of AI
McGill University
2018-2025
Douglas Mental Health University Institute
2019-2024
RELX Group (Netherlands)
2024
Université de Tours
2022
Inserm
2022
University of Toronto
2022
Alfred Health
2022
Montreal Neurological Institute and Hospital
2018-2020
We have profiled cerebrospinal fluid T cells in healthy individuals and patients with MS using single-cell RNA TCR sequencing.
Abstract Characterizing the developmental trajectory of oligodendrocyte progenitor cells (OPC) is great interest given importance these in remyelination process. However, studies human OPC development remain limited by availability whole cell samples and material that encompasses a wide age range, including time peak myelination. In this study, we apply single RNA sequencing to viable across span link transcriptomic signatures oligodendrocyte‐lineage with stage‐specific functional...
Background Recently, artificial intelligence-powered devices have been put forward as potentially powerful tools for the improvement of mental healthcare. An important question is how these impact physician-patient interaction. Aims Aifred an clinical decision support system (CDSS) treatment major depression. Here, we explore use a simulation centre environment in evaluating usability Aifred, particularly its on physician–patient Method Twenty psychiatry and family medicine attending staff...
Abstract Child abuse (CA) is a strong predictor of psychopathologies and suicide, altering normal trajectories brain development in areas closely linked to emotional responses such as the prefrontal cortex (PFC). Yet, cellular underpinnings these enduring effects are unclear. Childhood adolescence marked by protracted formation perineuronal nets (PNNs), which orchestrate closure developmental windows cortical plasticity regulating functional integration parvalbumin interneurons into neuronal...
Abstract The basolateral amygdala (BLA) plays a key role in the pathophysiology of depressive disorders and trauma, yet oligodendrocyte-lineage cells myelin this brain region remain understudied humans. This might be due, at least part, to lack cost-effective, antibody-based method isolate oligodendrocytes (OL) OL precursor (OPC) from postmortem tissue that is compatible with molecular biology applications. study aimed to: 1) create validate for isolating OPC nuclei frozen grey matter; 2)...
Background: Deep learning has utility in predicting differential antidepressant treatment response among patients with major depressive disorder, yet there remains a paucity of research describing how to interpret deep models clinically or etiologically meaningful way. In this paper, we describe methods for analyzing clinical and demographic psychiatric data, using our recent work on model STAR*D CO-MED remission prediction. Methods: Our analysis yielded four that predicted the treatments...
Background Approximately two-thirds of patients with major depressive disorder do not achieve remission during their first treatment. There has been increasing interest in the use digital, artificial intelligence–powered clinical decision support systems (CDSSs) to assist physicians treatment selection and management, improving personalization best practices such as measurement-based care. Previous literature shows that for digital mental health tools be successful, tool must easy feasible...
Abstract Myelin destruction and oligodendrocyte (OL) death consequent to metabolic stress is a feature of CNS disorders across the age spectrum. Using cells derived from surgically resected tissue, we demonstrate that young (<age 5) pediatric-aged sample OLs are more resistant in-vitro injury than fetal O4+ progenitor cells, but susceptible cell apoptosis adult-derived OLs. Pediatric not adult show measurable levels TUNEL+ response. The ratio anti- vs pro-apoptotic BCL-2 family genes...
Depression affects one in nine people, but treatment response rates remain low. There is significant potential the use of computational modeling techniques to predict individual patient responses and thus provide more personalized treatment. Deep learning a promising technique that can be used for differential selection based on predicted remission probability. Using Sequenced Treatment Alternatives Relieve (STAR*D) Combining Medications Enhance Outcomes (CO-MED) trial data, we employed deep...
Major depressive disorder (MDD) is the leading cause of disability worldwide, yet treatment selection still proceeds via "trial and error". Given varied presentation MDD heterogeneity response, use machine learning to understand complex, non-linear relationships in data may be key for personalization. Well-organized, structured from clinical trials with standardized outcome measures useful training models; however, combining across poses numerous challenges. There also persistent concern...
The objective of this paper is to discuss perceived clinical utility and impact on physician-patient relationship a novel, artificial-intelligence (AI) enabled decision support system (CDSS) for use in treating adults with major depression. A single arm, naturalistic follow-up study aimed at assessing the acceptability useability software. Patients had baseline appointment, followed by minimum two appointments CDSS. Study exit questionnaires interviews were conducted assess utility,...
Abstract Our knowledge surrounding the overall fatty acid profile of adult human brain has been largely limited to extrapolations from regions in which distribution acids varies. This is especially problematic when modeling metabolism, therefore, an updated estimate whole‐brain concentration necessitated. Here, we sought conduct a comprehensive quantitative analysis entire well‐characterized hemispheres ( n = 6) provided by Douglas‐Bell Canada Brain Bank. Additionally, exploratory natural...
Cortical parvalbumin interneurons (PV+) are major regulators of excitatory/inhibitory information processing, and their maturation is associated with the opening developmental critical periods (CP). Recent studies reveal that cortical PV+ axons myelinated, myelination along perineuronal net (PNN) around cells closures CP. Although susceptible to early-life stress, relationship between PNN coverage remains unexplored. This study compared fine features in well-characterized human post-mortem...