# Closing the loop: development of real-time, personalized brain stimulation

> **NIH NIH R01** · STANFORD UNIVERSITY · 2022 · $391,250

## Abstract

Project Summary
 We are in critical need of targeted and individualized treatments for mental health disorders, which affect
nearly 50% of Americans during our lifetimes. Brain stimulation treatments, including repetitive transcranial
magnetic stimulation (rTMS), represent the front-line of innovative approaches to correct dysfunctional brain
networks for patients suffering from mental illness. rTMS is FDA-approved for depression and obsessive-
compulsive disorder (OCD) with clinical trials underway for post-traumatic stress disorder (PTSD) and substance
use, among others. However, as currently administered, rTMS lacks a biomarker to individually optimize
treatment and thus suffers from a poor clinical response rate (<50%). Without personalization of rTMS, we risk
a one-size-fits-all treatment for all psychiatric disorders, not dissimilar to how antidepressants are administered.
 Using simultaneous TMS and electroencephalography (TMS-EEG), I identified a depression severity
biomarker from a double-blind randomized clinical trial treating depressed patients with one month of active or
placebo rTMS. The degree of this biomarker change significantly predicted clinical improvement after rTMS
treatment. Direct brain recordings further suggest that a single stimulation session is sufficient to modulate this
biomarker, indicating that this brain-based biomarker can be monitored daily to support empiric treatment
optimization.
 With this in mind, I propose to develop the first broadly generalizable platform for real-time biomarker
monitoring (Aim #1) and personalized rTMS treatment (Aims #2 & 3). I will enroll 54 depressed patients to
participate in a cross-over, placebo-controlled study directly comparing personalized, adaptive rTMS to standard
rTMS. Primary outcome will be target engagement and dose-response of the depression severity biomarker.
Successful implementation of this work includes the early stratification of treatment responders and personalized
and more effective treatments for non-responders. This approach is broadly applicable to other depression
biomarkers, all psychiatric populations treated with rTMS, and other brain stimulation modalities. More generally,
my goals are to establish the fundamental principles of human brain plasticity and to construct platforms for rapid
biomarker development, engagement, and integration into personalized brain stimulation treatments.

## Key facts

- **NIH application ID:** 10318564
- **Project number:** 5R01MH126639-03
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** Corey J Keller
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $391,250
- **Award type:** 5
- **Project period:** 2019-09-18 → 2024-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10318564

## Citation

> US National Institutes of Health, RePORTER application 10318564, Closing the loop: development of real-time, personalized brain stimulation (5R01MH126639-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10318564. Licensed CC0.

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