Feindel Brain and Mind Lecture Series: Surgical Data Science for Decision Making Support and Knowledge Discovery in Deep Brain Stimulation

Event

Montreal Neurological Institute De Grandpre Communications Center, 3801 rue University, Montreal, QC, H3A 2B4, CA

The Feindel Virtual Brain and Mind Seminar presents: "Surgical Data Science for Decision Making Support and Knowledge Discovery in Deep Brain Stimulation"

Pierre Jannin, INSERM Research Director, Medical School of the University of Rennes, France


Abstract: High frequency and continuous electrical stimulation of deep brain structures (DBS) has been demonstrated as an efficient minimally invasive surgical treatment for motor related diseases and recently for severe neuropsychological diseases. The quality of the clinical improvement, as well as the occurrence of motor, neuropsychological or psychiatric side effects strongly depend on the location of the electrodes. However, even though DBS provides excellent clinical results, there is no consensus in the neurosurgical community about the optimal location of the area to be stimulated as well as corresponding electrical parameters. It is also expected that this is different among patients. The choice of the best target is usually based on a combination of patient specific and generic anatomical, functional and clinical information and knowledge. Patient specific data and information are based on multimodal medical images, clinical and electrophysiological data, whereas most of the generic information and knowledge are implicit. To make it explicit, some groups suggested digital atlases; some atlases were computed from population analysis.

In this talk, I will introduce the surgical data science approach we studied, implemented and validated in the context of Deep Brain Stimulation. The main characteristics of our approach include: 1) computation of pre, intra and post-operative patient-specific models from multimodal medical images, clinical and electrophysiological data, 2) analysis of patient population for outlining common patterns and outcome, and 3) computation of generic models from population analysis to help pre, intra and post operative decisions and actions. It aims both at assisting surgical planning, performance and post operative programming and evaluation, as well as better understanding neurological phenomenon for knowledge discovery. Our approach is based on numeric and symbolic surgical data analysis. The clinical motivation is to improve targeting and post operative evaluation for better outcome and reduced side effects.

Bio:  Pierre Jannin is a INSERM Research Director at the Medical School of the University of Rennes (France). He is the head of the MediCIS research group from both UMR 1099 LTSI, Inserm research institute and University of Rennes. He has more than 30-year experience in designing and developing computer assisted surgery systems. He was the President of the International Society of Computer Aided Surgery from 2014 to 2018. He was board member of the MICCAI society from 2014 to 2018. He is SPIE senior member.


The Feindel Virtual Brain and Mind (VBM) Seminar Series will advance the vision of Dr. William Feindel (1918–2014), Former Director of the Neuro (1972–1984), to constantly bridge the clinical and research realms. The talks will highlight the latest advances and discoveries in neuropsychology, cognitive neuroscience, and neuroimaging.

Speakers will include scientists from across The Neuro, as well as colleagues and collaborators locally and from around the world. The series is intended to provide a virtual forum for scientists and trainees to continue to foster interdisciplinary exchanges on the mechanisms, diagnosis and treatment of brain and cognitive disorders.


To watch via Vimeo, click here.

Contact Information

Contact: 
Sasha Kelly
Organization: 
Montreal Neurological Institute-Hospital
Email: 
sasha.kelly [at] mcgill.ca
Office Phone: 
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