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 Halloween from the CoBrA Lab!

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We are going to SfN's 2016 Conference!

The CoBrA Lab will be at the Society for Neuroscience’s annual meeting in San Diego from November 12-16. This event is the world’s largest meeting in neuroscience, with over 30,000 attendees from around the globe, and allows scientists to present their findings, learn from experts, forge collaborations, and explore new tools and technologies. Two of our lab members (Daniel Gallino and Gulebru Ayranci) will be presenting posters and three of them (Elisa Guma, Christine Tardif, and Chris Steele) will be presenting their research with a nanosymposium. Check out our abstracts. For more information about SfN and the meeting, check out their website.

New Hippocampal White Matter Atlas!

Check out our recently developed hippocampal white matter atlas created by Robert S.C. Amaral. This atlas includes the full anterior to posterior segmentation of extra-hippocampal white matter tracts (i.e. alveus, fimbria, and fornix). Our freely-available 5 high-resolution MRI atlases have been derived from a reliable and detailed manual segmentation protocol. Moreover, these white matter atlases can be used in complement with the hippocampal subfield atlas previously developed in our lab. For more information about this atlas, check out our atlases webpage or to download it, click here.

In addition, implementation and validation of these white matter atlases on our automatic segmentation pipeline, MAGeT Brain, was used to analyze the trajectory of these hippocampal white matter regions in both healthy aging (OASIS dataset), Alzheimer’s disease, and mild cognitive impairment (ADNI) cohorts. For more information regarding segmentation protocol, reliability, validation, methods and results see the pre-print version of our article.

The CoBrA Lab would like to welcome Hanna Röhling as a student intern in our lab!

Hanna Röhling is a second year student of the Master program in Computational Neuroscience at the Bernstein Center for Computational Neuroscience in Berlin, Germany. Having completed her undergraduate studies in Computational Life Science at the University of Lübeck in Germany, Hanna became interested in machine learning and multi-variate techniques for the development of diagnostic tools and the investigation of biomarkers. She would like to gain experience in a more translationally oriented research field and will be doing a lab rotation at the CoBrA Lab for three months to gain experience in computational neuroanatomy.

Camp Cobra 2016!

The Cobra Lab returned to Camp Kanawana for their second annual lab retreat. We spent the three days lakeside, canoeing, kayaking, and paddle boarding. Waking up to the beautiful sounds of nature and starting the day off with lakeside morning yoga, then huddling by the campfire at night and stuffing our faces with s’mores was the epitome of our trip. However, it wasn’t all fun and games. We had daily meetings reviewing our accomplishments of the past year and brainstorming future directions for our laboratory.

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