# Neurofeedback of amygdala activity for PTSD

> **NIH NIH R61** · YALE UNIVERSITY · 2021 · $77,542

## Abstract

Abstract
Neurofeedback of real-time functional magnetic resonance imaging (rt-fMRI) data is a new technique in which
a specific aspect of brain function is monitored and provided as a feedback signal to the subject. The subject
then practices controlling that aspect of their brain function using the feedback as a training signal. A large
number of studies have reported success in training people to control their brain function via this technique.
The proposed research project applies this technique to treating and studying post-traumatic stress disorder
(PTSD). More specifically, the project examines whether neurofeedback of rt-fMRI data can enable individuals
with PTSD to develop control over activity in a region of their amygdala involved in symptom anxiety and
thereby reduce their PTSD symptoms. If so, this new technique may yield a low-risk, non-invasive clinical
intervention for PTSD. In addition, patterns of resting state functional connectivity between brain areas will be
examined before and after neurofeedback to determine how intrinsic brain dynamics are altered by the
intervention, and how those alterations relate to changes in clinical symptoms. This will inform our
understanding of the network dynamics underlying PTSD symptoms.

## Key facts

- **NIH application ID:** 10370554
- **Project number:** 3R61MH115110-02S1
- **Recipient organization:** YALE UNIVERSITY
- **Principal Investigator:** ILAN HARPAZ-ROTEM
- **Activity code:** R61 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $77,542
- **Award type:** 3
- **Project period:** 2021-05-24 → 2022-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10370554

## Citation

> US National Institutes of Health, RePORTER application 10370554, Neurofeedback of amygdala activity for PTSD (3R61MH115110-02S1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10370554. Licensed CC0.

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