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DTSTAMP:20250806T203213Z
DESCRIPTION:\nThe Feindel Virtual Brain and Mind Seminar presents: 'Surgica
 l Data Science for Decision Making Support and Knowledge Discovery in Deep
  Brain Stimulation'\n\nPierre Jannin\, INSERM Research Director\, Medical 
 School of the University of Rennes\, France\n\n\nAbstract: High frequency 
 and continuous electrical stimulation of deep brain structures (DBS) has b
 een demonstrated as an efficient minimally invasive surgical treatment for
  motor related diseases and recently for severe neuropsychological disease
 s. 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 excelle
 nt clinical results\, there is no consensus in the neurosurgical community
  about the optimal location of the area to be stimulated as well as corres
 ponding electrical parameters. It is also expected that this is different 
 among patients. The choice of the best target is usually based on a combin
 ation of patient specific and generic anatomical\, functional and clinical
  information and knowledge. Patient specific data and information are base
 d on multimodal medical images\, clinical and electrophysiological data\, 
 whereas most of the generic information and knowledge are implicit. To mak
 e it explicit\, some groups suggested digital atlases\; some atlases were 
 computed from population analysis.\n\nIn this talk\, I will introduce the 
 surgical data science approach we studied\, implemented and validated in t
 he context of Deep Brain Stimulation. The main characteristics of our appr
 oach include: 1) computation of pre\, intra and post-operative patient-spe
 cific models from multimodal medical images\, clinical and electrophysiolo
 gical data\, 2) analysis of patient population for outlining common patter
 ns and outcome\, and 3) computation of generic models from population anal
 ysis to help pre\, intra and post operative decisions and actions. It aims
  both at assisting surgical planning\, performance and post operative prog
 ramming and evaluation\, as well as better understanding neurological phen
 omenon for knowledge discovery. Our approach is based on numeric and symbo
 lic surgical data analysis. The clinical motivation is to improve targetin
 g and post operative evaluation for better outcome and reduced side effect
 s.\n\nBio:  Pierre Jannin is a INSERM Research Director at the Medical Sch
 ool of the University of Rennes (France). He is the head of the MediCIS re
 search group from both UMR 1099 LTSI\, Inserm research institute and Unive
 rsity of Rennes. He has more than 30-year experience in designing and deve
 loping computer assisted surgery systems. He was the President of the Inte
 rnational Society of Computer Aided Surgery from 2014 to 2018. He was boar
 d member of the MICCAI society from 2014 to 2018. He is SPIE senior member
 .\n\n\nThe Feindel Virtual Brain and Mind (VBM) Seminar Series will advanc
 e the vision of Dr. William Feindel (1918–2014)\, Former Director of the N
 euro (1972–1984)\, to constantly bridge the clinical and research realms. 
 The talks will highlight the latest advances and discoveries in neuropsych
 ology\, cognitive neuroscience\, and neuroimaging.\n\nSpeakers will includ
 e scientists from across The Neuro\, as well as colleagues and collaborato
 rs locally and from around the world. The series is intended to provide a 
 virtual forum for scientists and trainees to continue to foster interdisci
 plinary exchanges on the mechanisms\, diagnosis and treatment of brain and
  cognitive disorders.\n\n\nTo watch via Vimeo\, click here.\n
DTSTART:20221102T200000Z
DTEND:20221102T210000Z
LOCATION:De Grandpre Communications Center\, Montreal Neurological Institut
 e\, CA\, QC\, Montreal\, H3A 2B4\, 3801 rue University
SUMMARY:Feindel Brain and Mind Lecture Series: Surgical Data Science for De
 cision Making Support and Knowledge Discovery in Deep Brain Stimulation
URL:/neuro/channels/event/feindel-brain-and-mind-lectu
 re-series-surgical-data-science-decision-making-support-and-knowledge-3423
 83
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