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A neural population model-based characterization and modulation of neural oscillations underlying cognitive control in healthy and depressed/anxious human subjects

Description: Project Narrative In this work, we propose to characterize brain oscillations that are disrupted in depressed/anxious human subjects compared to healthy counterparts while performing a cognitive task involving conflict resolution. We will use a biophysically inspired neural population model of the prefrontal and temporal cortical network to determine feasible neural mechanisms underlying such brain signals. We will then use this model to determine cortical electrical stimulation to modulate pathological brain oscillations towards restoration of health and test the model predictions on human subjects while performing the conflict resolution task.
Funding type: research
Funder scheme: R21
Start date: 2022-04-01
End date: 2025-03-31
Investigator: ISHITA BASU
Institution: UNIVERSITY OF CINCINNATI
Funded outputs count: 3
Funder award ID: R21MH127009
OpenAlex ID: G4472977274
2022 · Alexander Ross, Angelique C Paulk, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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