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SUMMARY:Peeking Inside Black Boxes: New Insights Into Depression Recovery 
 with Deep Brain Stimulation Using Explainable AI - Dr Christopher Rozell\,
  Georgia Institute of Technology
DTSTART:20221201T123000Z
DTEND:20221201T133000Z
UID:TALK178835@talks.cam.ac.uk
CONTACT:87079
DESCRIPTION:*Abstract:*\nSimultaneous advances in neurotechnology and data
  science have created new opportunities to measure\, modulate and understa
 nd the neural activity underlying complex psychiatric disorders such as tr
 eatment resistant depression (TRD). Despite promising open label studies o
 f deep brain stimulation (DBS) as a therapy for TRD\, one of the barriers 
 to scaling this treatment is the lack of objective information supporting 
 clinical decision making during patient-specific trajectories toward stabl
 e recovery. In a recent study we have collected longitudinal intracortical
  local field potential (LFP) data from TRD patients undergoing subcallosal
  cingulate cortex (SCC) DBS. I will describe our development of a novel "e
 xplainable AI" (XAI) technique for generating causal post-hoc explanations
  of machine learning systems. Using a data-driven approach that employs th
 ese XAI techniques\, we identify unexpected changes in SCC LFP dynamics th
 at correspond to individual recovery trajectories\, behavioral changes ref
 lected in facial expressions\, and white matter structural integrity.  In 
 addition to providing evidence about neural dynamics underlying TRD and re
 covery with chronic SCC DBS\, our results also demonstrate potential bioma
 rkers that could be used to support psychiatric decision making during SCC
  DBS therapy. \n\n*Biography:*\nChristopher J. Rozell is the Julian T. Hig
 htower Chaired Professor of Electrical and Computer Engineering at the Geo
 rgia Institute of Technology. He received a B.S.E. degree in Computer Engi
 neering and a B.F.A. degree in Music in 2000 from the University of Michig
 an\, received M.S. and Ph.D. degrees in Electrical Engineering in 2002 and
  2007 from Rice University\, and was a postdoctoral scholar at the Redwood
  Center for Theoretical Neuroscience at the University of California\, Ber
 keley. Dr. Rozell's research interests is in computational neuroengineerin
 g to advance the understanding of brain function\, the engineering of effe
 ctive interventions for neurologic disorders\, and the development of more
  intelligent engineered systems. Beyond his technical contributions\, Dr. 
 Rozell's scholarly activity also includes research and creative work that 
 advances public engagement on the societal implications of emerging areas 
 such as AI and neurotechnology. His work has been recognized with the Scho
 lar Award in Studying Complex Systems from the James S. McDonnell Foundati
 on  (one of six international recipients)\, the National Science Foundatio
 n CAREER Award\, the Sigma Xi Young Faculty Research Award\, and the Class
  of 1940 W. Howard Ector Outstanding Teacher Award. Dr. Rozell is proud to
  be a first-generation scholar who is committed to diversity\, equity and 
 inclusion in our educational institutions and scientific communities. He i
 s a co-founder and member of the Board of Directors of Neuromatch\, Inc.\,
  a global nonprofit increasing access to scientific knowledge through incl
 usive conferences and summer schools. For more information on Dr Rozell\, 
 please visit: https://siplab.gatech.edu/rozell.html
LOCATION:Zoom (Please contact mho28@medschl.cam.ac.uk)
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