The Computational Brain Anatomy (CoBrA) Laboratory is located at the Cerebral Imaging Centre at the Douglas Mental Health University Institute (Verdun, QC, Canada; affiliated with McGill University). Our laboratory is interested the anatomy of the brain and how it matures through adolescence, how it stays healthy through the normal ageing process, and how alterations in brain anatomy are related to neurodegenerative disorders such as Alzheimer's and Parkinson's disease and neurodevelopmental disorders such as schizophrenia. To do so, we use and develop sophisticated computational neuroanatomy techniques that are able to automatically parse the geometric complexity of brain anatomy. Our group is a multi-disciplinary group of neuroscientists, computer scientists, engineers, and physicists all working towards a common goal of improving our understanding of the structure-function relationships of the brain through health and illness. We publicly disseminate much of the algorithmic and atlas work that we do in an effort to promote open and reproducible science.

Happy Holidays from the CoBrA Lab!


Congratulations to Nikhil on receiving a Ph.D. in Biomedical Engineering!

The CoBrA lab would like to congratulate Nikhil on graduating with a degree of Doctor of Philosophy in Biomedical Engineering from the institute of Biomaterials & Biomedical Engineering of University of Toronto!

Nikhil completed his doctoral thesis entitled “Prognostic Applications for Alzheimer’s Disease Using Magnetic Resonance Imaging and Machine-learning” in August 2018. His work, particularly pertaining to development of an artificial intelligence algorithm to predict an individual’s cognitive decline leading to Alzheimer’s disease, has received a lot of media attention (articles from The London Telegraph, UK express, and Radio-Canada, Global News, Scientifica)

Nikhil will be starting a joint post-doc with Dr. Louis Collins, and Dr. Jean-Baptiste Poline at the MNI, McGill, working on two research domains. With Dr. Collins, he will be working on longitudinal characterization and prediction of neurodegenerative diseases using MRI and machine-learning. With Dr. Poline, he will be working on development of robust and scalable neuroinformatics tools to address reproducibility issues within current research practices.

We are featured as one of Scientifica’s picks of must-read neuroscience stories from October 2018

We are pleased to announce that the work by Nikhil Bhagwat et al. about an artificial intelligence algorithm that can predict an individual’s cognitive decline leading to Alzheimer’s, has been selected as one of Scientifica’s best neuroscience stories from October 2018! Every month Scientifica collates a selection of the best neuroscience research stories released that month, that are breakthroughs in research.

For more information check out the links below!

Happy Halloween from the CoBrA Lab!


Predicting Alzheimer’s disease with artificial intelligence

Check out the video below where Dr. Mallar Chakravarty talks to Global’s Laura Casell about recent research from our group where cognitive decline towards Alzheimer’s disease can be predicted 5 years in advance. For more information about the original research, click the link to read the published paper Bhagwat et al. (2018). You can also click here for the full article on Global News.