Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( 🔒 ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Need Help

Understanding Heterogeneity Across PTSD, MDD and Anxiety By Leveraging Large-scale Multimodal Neuroimaging Datasets

Award Number: U01MH138425
ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH
OPDIV: NIH
AWARD CLASS: COOPERATIVE AGREEMENT
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 07/21/2025
PERIOD OF PERFORMANCE END DATE: 04/30/2030

Group Awards By:

View Award Description

Understanding Heterogeneity Across PTSD, MDD and Anxiety By Leveraging Large-scale Multimodal Neuroimaging Datasets - Project summary Psychiatric comorbidities are common in individuals with posttraumatic stress disorder (PTSD), major depressive disorder (MDD) and anxiety disorders (ANXs) such as generalized anxiety disorder (GAD), social anxiety disorder (SAD). Patients with multiple comorbidities often experience more symptom severity, higher risk of suicidal behavior, greater impairments in neurocognitive functioning, and poorer treatment outcomes. Diagnostic heterogeneity and high comorbidity among these mental disorders significantly complicating progress in clarifying underlying neural mechanisms of mental disorders, and efforts to advance personalized medicine. To address this issue and respond to NIH’s call for precision medicine, our proposal aims to utilize large clinical and imaging datasets, along with explainable deep learning models, to identify neural biomarkers and biotypes underlying PTSD, MDD and ANXs, and to assess their utility of clinical outcomes. We will first apply a top-down Research Domain Criteria (RDoC) approach to identify distinct biomarkers. In addition, we will utilize a bottom-up data-driven computational framework to identify shared transdiagnostic biotypes to tackle heterogeneity across PTSD, MDD and ANXs. We will leverage multimodal neuroimaging data including structural magnetic resonance imaging (MRI) and resting-state functional MRI (rs-fMRI) from four globally representative lifespan datasets: the ENIGMA-PTSD, the ENIGMA-MDD, the ENIGMA-Anxiety, and UK Biobank (UKBB) datasets, to test the generalizability of the deep learning models, and the utility of the identified biomarkers (from aim 1) and the data-driven transdiagnostic biotypes (from aim 2) in predicting treatment outcomes (aim 3). The results of this study may enhance our understanding of unique and common neural profiles across PTSD, MDD, and ANXs, and help future treatment development by providing initial guidance of selecting best treatments that works the best for individual patient.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $638,574 )
2026	2026	UNIVERSITY OF TEXAS AT ARLINGTON	701 S NEDDERMAN DR	ARLINGTON	TX	76019	TARRANT	USA	Mental Health Research Grants	000	2	8/31/2026	NON-COMPETING CONTINUATION	$638,574
														Subtotal = $638,574

Grand Total All Awards = $638,574

Top

All Categories

About

Search

Reports

Data Submission

Award Information

Understanding Heterogeneity Across PTSD, MDD and Anxiety By Leveraging Large-scale Multimodal Neuroimaging Datasets

Award Number: U01MH138425

ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH

OPDIV: NIH

AWARD CLASS: COOPERATIVE AGREEMENT

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 07/21/2025

PERIOD OF PERFORMANCE END DATE: 04/30/2030

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer