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Yasser Iturria Medina

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Assistant Professor

Montreal Neurological Institute and Hospital

Canada

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About

Yasser Iturria Medina is an Assistant Professor at the Montreal Neurological Institute and Hospital in Canada. His research focuses on neurodegenerative diseases, particularly Alzheimer's disease and Parkinson's disease, exploring areas such as transcriptomic signatures, brain imaging determinants, and computational models. He has published various articles examining the mechanisms underlying these conditions and the associated cellular dysregulations, contributing to a deeper understanding of disease progression and treatment needs.

Recent Grants

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Canada Research Chair Tier-2 in Multimodal Data Integration in Neurodegeneration

Open Date: 2020-06-01

Close Date: 2025-06-01

Grant: Close

DIPPA-FTD - DIagnostic and Prognostic Precision Medicine Algorithm for bvFTD

Open Date: 2020-01-01

Close Date: 2023-12-01

Grant: Close

Imaging-based Therapeutic ‘Fingerprints’ for Identification of Personalized Treatments in AD and Related Diseases

Open Date: 2019-11-01

Close Date: 2021-04-01

Grant: Close

Empreinte thérapeutique pour optimiser les traitements personnalisés en neurodégénérescence

Open Date: 2019-07-01

Close Date: 2023-07-01

Grant: Close

Data-driven Biomarker-Based Alzheimer’s Disease Composite Progression Score

Open Date: 2019-06-01

Close Date: 2021-06-01

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2020

Collaborators (8)

Thomas Olabode Obisesan

Professor

Howard University

UNITED STATES

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Laura Ponto

Iowa State University

UNITED STATES

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Ging-Yuek Hsiung

The University of British Columbia

CANADA

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Yue Li

Assistant Professor

McGill University

CANADA

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Peter Snyder

Professor

University of Rhode Island

UNITED STATES

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Smita Krishnaswamy

Associate Professor

Yale University

UNITED STATES

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Daniel Ferreira

Karolinska Institutet

SWEDEN

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PEDRO ROSA-NETO

Professor

McGill University

CANADA

View details

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Yasser Iturria Medina

Research Interests

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About

Recent Grants

Articles (18)

Patient-centered brain transcriptomic and multimodal imaging determinants of clinical progression, physical activity, and treatment needs in Parkinson’s disease

White matter dysfunction in Alzheimer’s disease is associated with disease-related transcriptomic signatures

Supervised latent factor modeling isolates cell-type-specific transcriptomic modules that underlie Alzheimer’s disease progression

Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms

Single-nucleus RNA velocity reveals critical synaptic and cell-cycle dysregulations in neuropathologically confirmed Alzheimer’s disease

Distinctive whole-brain cell types predict tissue damage patterns in thirteen neurodegenerative conditions

Distinctive whole-brain cell types predict tissue damage patterns in thirteen neurodegenerative conditions

Fornix degeneration in risk factors of Alzheimer's disease, possible trigger of cognitive decline

Patient-specific models link neurotransmitter receptor mechanisms with motor and visuospatial axes of Parkinson’s disease

Unified epigenomic, transcriptomic, proteomic, and metabolomic taxonomy of Alzheimer’s disease progression and heterogeneity

Neuroimaging signatures predicting motor improvement to focused ultrasound subthalamotomy in Parkinson’s disease

Author Correction: Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease (Nature Communications, (2020), 11, 1, (2612), 10.1038/s41467-020-15701-2)

Four distinct trajectories of tau deposition identified in Alzheimer’s disease

Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box

Integrated transcriptomic and neuroimaging brain model decodes biological mechanisms in aging and Alzheimer’s disease

Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease

Blood and brain gene expression trajectories mirror neuropathology and clinical deterioration in neurodegeneration.

A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems

Collaborators (8)

Thomas Olabode Obisesan

Laura Ponto

Ging-Yuek Hsiung

Yue Li

Peter Snyder

Smita Krishnaswamy

Daniel Ferreira

PEDRO ROSA-NETO

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