Real-time Bayesian optimization of deep brain stimulation for personalized cognitive control enhancement
These findings confirm that optimization techniques can be effective for improving symptomatically-relevant cognitive markers supporting the feasibility of personalized, quantitatively-informed approaches to neuromodulation and target engagement for psychiatric and/or cognitive disorders.
Authors
- Evan M. Dastin-van Rijn (ORCID: https://orcid.org/0000-0002-1428-0723)
- Michelle Buccini
- Jonathan P Bennek
- Elizabeth M Sachse
- Alik S Widge
- Bradley Angstadt
Institutions
- University of Minnesota (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2025-12-30
- DOI
- https://doi.org/10.64898/2025.12.30.697057
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- University of Minnesota
- National Institutes of Health