The BigBrain Workshop 2017 – Summary
The BigBrain Workshop 2017 was a great success, thanks to a collection of world-renowned speakers, led by Pr Karl Zilles, and local explorers of the dataset. Titles covered very high resolution data collection (Zilles, Palomero-Gallagher), storage and manipulation (Glatard), as well as analysis and visualisation of big data (Borgeat, Istomin, Mohlberg). Protocols for the …
Read More
BigBrain Workshop 2017 Montreal : Schedule – UPDATED
BigBrain Workshop 2017 From open data to novel applications November 3rd, 2017 8:30 – 17:00 Montréal Neurological Institute McGill University 3801, rue University Montréal, QC http://mcin.ca BigBrain Workshop Montreal 2017- schedule UPDATED 8:30 – 9:00 : Registration and coffee 9:00 – 9:15 : Dr Alan C Evans (MCIN, Ludmer Centre, McGill U) – Opening remarks …
Read More
Back to OHBM event
Back to OHBM On October 16th, 2017, approximately 70 members of the Montreal brain-imaging community got to know each other a bit better at a ‘Back to OHBM’ event organized by members of the Ludmer Centre/MCIN and the CRIUGM. Principal investigators, post-docs, and students alike participated in an afternoon of talks, poster sessions, and oral …
Read More
BigBrain Workshop 2017 Montreal : From open data to novel applications
We are pleased to announce an international workshop on BigBrain and its applications, to be held at the Montreal Neurological Institute on November 3rd, 2017. The day will start with a plenary session, with a keynote lecture by Pr. Karl Zilles (Germany). Morning addresses will be followed by an open forum discussion on the challenges …
Read More
CBC Audio interview with researcher John Lewis
Unlocking some of the mystery of autism: early indications Lewis is the lead author of the study entitled “The Emergence of Network Inefficiencies in Infants With Autism Spectrum Disorder” which was published in the journal Biological Psychiatry. ( Abstract and open access here) The study involved looking at brain “efficiency”, the interconnectedness of various regions of …
Read More
Delegates from Shenzhen visit the MCIN
On Monday Sept 25th, delegates from Shenzhen toured the MNI and had a chance to experience the BigBrain with Alan Evans.
Read More
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.
Read More
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.
Read More
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 …
Read More
INCF 2018
INCF 2018 – Montreal For more information, please visit the following websites: Official website INCF homepage The Ludmer Centre
Read More
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.
Read More
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.
Read More
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.
Read More