David Carr of Wellcome Trust visits the MCIN

Mr. David Carr, Programme Manager of Open Research of Wellcome Trust, London, United Kingdom,  visit the Neuro and meet with Alan Evans while experiencing the Big Brain.

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Representatives from CFI visit the MCIN

Representatives of CFI Dr. Rosanne O’Reilly Runte, President and CEO, and Pierre Normand, CO of External Relations and Communications, visited the MCIN and experienced the Big Brain.

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Deep Brainhack 2017

The Deep Brainhack was held on August 24-25 at Notman House, Montreal. This two-day hacking sprint was designed to familiarize the deep learning community with the challenges of working with brain scans and neuroimaging data, as well as introducing researchers to opportunities and applications in neuroscience presented by cutting-edge machine learning technology. This event saw …

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INCF 2018 – Promo Video

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INCF 2018

INCF 2018 – Montreal For more information, please visit the following websites: Official website INCF homepage The Ludmer Centre

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Dell/EMC Global Health visits the MCIN

On Wednesday August 9th, representatives from Dell/EMC Global Health visited the MCIN. Opening talks were given by Alan Evans, Samir Das, Tristan Glatard, and Marc Rousseau. The featured presentation by Dell/EMC representatives outlined current and future projects.

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The Emergence of Network Inefficiencies in Infants with Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a developmental disorder defined by behavioural features that emerge during the first years of life. Research indicates that abnormalities in brain connectivity are associated with these behavioural features.

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Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data

Machine learning approaches have been widely used for the identification of neuropathology from neuroimaging data. However, these approaches require large samples and suffer from the challenges associated with multi-site, multi-protocol data. We propose a novel approach to address these challenges, and demonstrate its usefulness with the Autism Brain Imaging Data Exchange (ABIDE) database.

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Prix du Quebec

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Display Video

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BigBrain Demo HBM

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Introducing LORIS

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The Ludmer Center for Neuroinformatics and Mental Health at McGill

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Brain Imaging in the Information Age

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MCIN demonstrates the Big Brain to future scientists

On April 28th, students from Gerald McShane Elementary school and Rosemount High School experienced the Big Brain on a recent tour of the Neuro.  The students were given an overview of the history and role of brain atlases in modern medicine, the creation of the Big Brain dataset, and its current use in both research and clinical applications. …

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Dr R. Buxton visits the MCIN

Dr. Richard Buxton, Professor of Radiology at UC San Diego, visited the MCIN recently after delivering his talk  “Potential of Quanta FMI” at the Neuro. During his visit, Dr. Buxton experienced the Big Brain with Dr. Evans.

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New paper published by Dr. Y. Iturria-Medina and colleagues

A recent paper entitled “Multifactorial causal model of brain (dis)organization and therapeutic intervention: Application to Alzheimer’s disease” by Dr. Yasser Iturria-Medina and colleagues of the MCIN was published in Science Direct. In this article, we focus on describing the model and applying it at the population-based level for studying late onset Alzheimer’s disease (LOAD). By …

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Cortical Thickness Abnormalities in Autism Spectrum Disorders Through Late Childhood, Adolescence, and Adulthood: A Large-Scale MRI Study

Neuroimaging studies in autism spectrum disorders (ASDs) have provided inconsistent evidence of cortical abnormality. This is probably due to the small sample sizes used in most studies, and important differences in sample characteristics, particularly age, as well as to the heterogeneity of the disorder. To address these issues, we assessed abnormalities in ASD within the Autism Brain Imaging Data Exchange data set, which comprises data from approximately 1100 individuals (~6-55 years).

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the MCIN makes Discovery’s top stories of 2016

The research done at the MCIN was mentioned as the 12th top story of 2016. The story entitled “Big Data May Lead to Earlier Alzheimer’s Diagnosis: A new algorithm charts a 30-year trajectory for biological risk factors” by Linda Marsa describes the technique developed at the MCIN that may detect Alzheimers in its earliest stages. The …

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