Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
[Preprint]. 2024 Mar 28:2024.03.08.584169.
doi: 10.1101/2024.03.08.584169.

Bayesian Optimization of Neurostimulation (BOONStim)

Lindsay D Oliver, Jerrold Jeyachandra, Erin W Dickie, Colin Hawco, Salim Mansour, Stephanie M Hare, Robert W Buchanan, Anil K Malhotra, Daniel M Blumberger, Zhi-De Deng, Aristotle N Voineskos

Bayesian Optimization of Neurostimulation (BOONStim)

Lindsay D Oliver et al. bioRxiv. .

Update in

  • Bayesian Optimization Of NeuroStimulation (BOONStim).
    Oliver LD, Jeyachandra J, Dickie EW, Hawco C, Mansour S, Hare SM, Buchanan RW, Malhotra AK, Blumberger DM, Deng ZD, Voineskos AN. Oliver LD, et al. Brain Stimul. 2025 Mar-Apr;18(2):112-115. doi: 10.1016/j.brs.2025.01.020. Epub 2025 Jan 27. Brain Stimul. 2025. PMID: 39880158 No abstract available.

Abstract

Background: Transcranial magnetic stimulation (TMS) treatment response is influenced by individual variability in brain structure and function. Sophisticated, user-friendly approaches, incorporating both established functional magnetic resonance imaging (fMRI) and TMS simulation tools, to identify TMS targets are needed.

Objective: The current study presents the development and validation of the Bayesian Optimization of Neuro-Stimulation (BOONStim) pipeline.

Methods: BOONStim uses Bayesian optimization for individualized TMS targeting, automating interoperability between surface-based fMRI analytic tools and TMS electric field modeling. Bayesian optimization performance was evaluated in a sample dataset (N=10) using standard circular and functional connectivity-defined targets, and compared to grid optimization.

Results: Bayesian optimization converged to similar levels of total electric field stimulation across targets in under 30 iterations, converging within a 5% error of the maxima detected by grid optimization, and requiring less time.

Conclusions: BOONStim is a scalable and configurable user-friendly pipeline for individualized TMS targeting with quick turnaround.

PubMed Disclaimer

Publication types

LinkOut - more resources