PhD Proposal by Mark Conolly

Event Details
  • Date/Time:
    • Friday January 11, 2019 - Saturday January 12, 2019
      9:00 am - 10:59 am
  • Location: Emory University WMRB 5101
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Summary Sentence: A framework for optimizing neural modulation based on electrophysiological biomarkers

Full Summary: No summary paragraph submitted.

PhD Proposal Presentation


Date: January 11, 2019

Time: 9:00 - 11:00 AM


Emory University Main Campus

Woodruff Memorial Research Building

Room 5101


Committee Members:

 Robert E. Gross, Neurosurgery, Biomedical Engineering, Georgia Tech/Emory (Advisor)

Annaelle Devergnas, Neurology, Emory University

Svjetlana Miocinovic, Neurology, Biomedical Engineering, Georgia Tech/Emory

Babak Mahmoudi, Biomedical Informatics, Biomedical Engineering, Georgia Tech/Emory 

Chris Rozell, Biomedical Engineering, Georgia Tech/Emory


Title: A framework for optimizing neural modulation based on electrophysiological biomarkers 


Abstract: Neural modulation is a fundamental tool for understanding and treating neurological and psychiatric diseases including Parkinson’s and epilepsy. Like most neurological tools, accurately measuring the effect of an intervention is time-consuming and imprecise. However, neural modulation poses an additional problem where stimulation parameters have many degrees of freedom including amplitude, location/contact, frequency, etc. Black-box optimization techniques have the potential to automate the process of tuning stimulation parameters, efficiently search higher dimensional parameter spaces, and identify more effective parameter combinations. The objective of this proposal is to characterize the behavior different optimization algorithms for tuning stimulation parameters, and demonstrate closed-loop optimization in vivo. First, this project establishes a framework for prototyping and designing optimization algorithms in silico based on previously collected data. The platform is developed in the context of modulating of hippocampal gamma (33-50Hz) power through optogenetic stimulation of the medial septum. Next, the optimization system is implemented in vivo in real-time to directly learn the medial septum optogenetic stimulation parameters that maximize hippocampal gamma power in real-time. Finally, the closed-loop optimization framework is extended to characterize functional differences in the septohippocampal circuit in normal and epileptic rats, and for optimizing DBS therapy for patients with Parkinson’s disease.


Additional Information

In Campus Calendar

Graduate Studies

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Phd proposal
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Jan 7, 2019 - 3:49pm
  • Last Updated: Jan 7, 2019 - 3:53pm