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Seminars in Hearing Research (09/14/23) - Edward Bartlett

Seminars in Hearing Research (09/14/23) - Edward Bartlett

Author: M. Heinz
Event Date: October 5, 2023
Hosted By: Maureen Shader
Time: 1200-100
Location: Zoom
Contact Name: Shader, Maureen J
Contact Email:
Open To: All
Priority: No
School or Program: Non-Engineering
College Calendar: Show
Ed Bartlett (Professor, BIO/BME) will present "Spatially-specific, closed-loop, infrared thalamocortical deep brain stimulation" at our next Seminars in Hearing Research at Purdue (SHRP) on September 14th at 12-100 in NLSN 1215

Seminars in Hearing Research at Purdue (SHRP)

Date: Thursday, September 14th, 2023
Time: 12pm - 1:00pm
Location: NLSN 1215

Title: Spatially-specific, closed-loop, infrared thalamocortical deep brain stimulation

Speaker: Edward Bartlett, PHD, Professor - BIO/BME

Brandon S Coventry1,2*, Georgia L Lawlor1,2, Christina B Bagnatti1, Claudia Krogmeier4, Edward L Bartlett1,2,4* 

Abstract: Deep brain stimulation (DBS) is a powerful clinical tool for the treatment of circuit-based neurological disorders such as Parkinson’s disease and obsessive-compulsive disorder. Electrical DBS is, however, limited by the spread of stimulus currents into tissue unrelated to treatment, potentially causing abhorrent patient side effects. In this work, we utilize infrared neural stimulation (INS), an optical neuromodulation technique which uses near to mid infrared light, to drive graded excitatory and inhibitory responses in nerves and neurons, to facilitate an optical and spatially constrained DBS paradigm. INS has been shown to provide spatially constrained responses in the cochlea and in cortical neurons. Unlike other optical techniques, INS does not require genetic modification of neural targets. In this study, we show that INS produces graded, biophysically relevant single-unit responses with robust information transfer in thalamocortical circuits. Importantly, we show that cortical spread of activation from thalamic INS produces more spatially constrained response profiles than conventional electrical stimulation. Owing to observed spatial precision, we used deep reinforcement learning to close the loop on thalamocortical INS, creating real time representations of stimulus-response dynamics while driving cortical neurons to precise firing patterns. Our data suggest that INS can serve as a spatially precise and for both open and closed-loop DBS. .

The working schedule is available here.
Titles and Abstracts are added here.