# Joint structural-and-functional MRI analysis for predicting electroconvulsive therapy response in major depressive disorder

> **NIH NIH K01** · BRIGHAM AND WOMEN'S HOSPITAL · 2021 · $184,248

## Abstract

Project Summary
Title: Joint structural-and-functional MRI analysis for predicting electroconvulsive therapy response in
major depressive disorder
Electroconvulsive therapy (ECT) is currently the most effective and fast-acting neuromodulation treatments for
major depressive disorder (MDD). Understanding the mechanism of action of ECT-response may be a fruitful
strategy to understand the pathophysiology of MDD. But ECT also frequently provokes cognitive adverse effects
and is often considered as more invasive than pharmacotherapy. Consequently, there is a critical need to
develop reliable prognostic tools for predicting individualized treatment response. The availability of such a
predictor could provide guidelines for the clinician to optimize treatment strategy for individual patient and to
support patient's decision-making process. In Aim 1 of this project, we propose to develop a computational
framework to integrate novel diffusion MRI (dMRI) and resting-state functional MRI (rsfMRI) measures in order
to assess the properties of structural and functional connectivity of brain networks. In Aim 2, we will apply the
joint analysis of dMRI and rsfMRI to two large datasets with a total of 260 MDD patients and 170 controls to
identify depression-related abnormal connections in brain networks. Our approach could provide a novel
probabilistic MDD network that reflects heterogeneous brain abnormalities in different biotypes of MDD. In Aim
3, we will focus our analysis on a subgroup of 120 patients treated by ECT. Specifically, we will use the joint
structural-and-functional analysis to identify ECT-induced changes in brain connections for responders and non-
responders, respectively. Moreover, we will analyze the correlation between changes in brain connections with
changes in clinical MDD severities measures, and also with subject-specific E-field stimulated by ECT. Results
from this project will support future prospective trials aiming to improve therapeutic response using individualized
image-guided ECT in MDD. The training program provided by this K01 Mentored Research Scientist Award
provides the critical knowledge and experience to the PI for him to complete the proposed project. Based his
strong foundation in multimodal MRI analysis techniques, the PI seeks to obtain focused training on
neuroanatomy, clinical aspects of depression and ECT, under the guidance of experienced experts from his
mentoring team and advisory committee. In conclusion, this K01 Award will provide the PI with the training and
research background to conduct independent research that integrates novel MRI techniques and E-field
simulation approaches to develop optimal neuromodulation therapies for individual patients with MDD.

## Key facts

- **NIH application ID:** 10225993
- **Project number:** 5K01MH117346-03
- **Recipient organization:** BRIGHAM AND WOMEN'S HOSPITAL
- **Principal Investigator:** Lipeng Ning
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $184,248
- **Award type:** 5
- **Project period:** 2019-09-01 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10225993

## Citation

> US National Institutes of Health, RePORTER application 10225993, Joint structural-and-functional MRI analysis for predicting electroconvulsive therapy response in major depressive disorder (5K01MH117346-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10225993. Licensed CC0.

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