Alzheimer's

McGill Newsroom

Research underlines importance of computational power in future neurological breakthrough

Scientists at the Montreal Neurological Institute and Hospital have used a powerful tool to better understand the progression of late-onset Alzheimer’s disease (LOAD), identifying its first physiological signs.

Classified as: brain, McGill University, Alzheimer's, faculty of medicine, Montreal Neurological Institute, Alan Evans, big data, dementia, MRI, late-onset Alzheimer's disease (LOAD)
Published on: 11 Jul 2016

Dr. Gustavo Turecki along with Dr. Juan Pablo Lopez speak about the identification of a molecule that predicts treatment response for depressed patients.

To watch, please click here.

 

Dr. Judes Poirier speaks about his discovery of the genetic variation that protects 25% of the population from Alzheimer's.

To watch, please click here.

Classified as: Psychiatry, Alzheimer's, depression, discovery, top 10
Published on: 8 Jan 2015

A study just published in the prestigious Nature Neuroscience journal by, Sylvain Williams, PhD, and his team, of the Research Centre of the Douglas Mental Health University Institute and McGill University, opens the door towards better understanding of the neural circuitry and dynamic mechanisms controlling memory as well of the role of an essential element of the hippocampus – a sub-region named the subiculum.

Classified as: brain, Alzheimer's, memory, Douglas Mental Health, hippocampus, Sylvain Williams
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Published on: 3 Sep 2014

A new study shows that memory pathology in older mice with Alzheimer’s disease can be reversed with treatment. The study by researchers from the Montreal Neurological Institute and Hospital - The Neuro, at McGill University and at Université de Montréal found that blocking the activity of a specific receptor in the brain of mice with advanced Alzheimer’s disease (AD) recovers memory and cerebrovascular function. The results, published in the Journal of Neuroinflammation in May, also suggest an underlying mechanism of AD as a potential target for new therapies.

Classified as: neuroscience, brain, Alzheimer's, neurological disease, edith hamel
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Published on: 17 Jun 2013

January 28, 2013 - A revolutionary technology has the ability to detect and diagnose Alzheimer’s disease with unprecedented accuracy. The computerized technique known as SNIPE analyzes magnetic resonance imaging (MRI) scans to capture patterns of atrophy specific to the disease in brain structures, specifically the hippocampus and entorhinal cortex. Diagnosing Alzheimer’s disease (AD) is still an inexact science, relying mainly on the patient's symptoms and performance on memory tests. Detecting pre-clinical AD, before symptoms appear, is extremely difficult.

Classified as: neuroscience, Alzheimer's, neurological disease, technology, Neuro, detect, diagnosis, Louis Collins
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Published on: 5 Feb 2013

International study with researchers at The Neuro reveals links with other neurodegenerative diseases

MONTREAL, October 9, 2012  - Scientists at the Montreal Neurological Institute and Hospital – The Neuro,  McGill University working with a team at Oxford University have uncovered the genetic defect underlying a group of rare genetic disorders. 

Classified as: adult, Alzheimer's, chiild, Gene, genetic, infant, mitochondria, mutation, neurological, Parkinson's, rare disorders
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Published on: 9 Oct 2012