# The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)

> **NIH NIH P20** · LAUREATE INSTITUTE FOR BRAIN RESEARCH · 2021 · $2,187,296

## Abstract

Project Summary
Mood and anxiety disorders will account for approximately $16 x 109 lost productivity or 25% of global GDP
over the next 20 years. Eating disorders are among the deadliest psychiatric diseases and Anorexia Nervosa
is two to three times more deadly than schizophrenia, bipolar and major depressive disorder. The Center for
Neuroscience-based Mental Health Assessment and Prediction (NeuroMAP) aims to provide a (a) scientific,
(b) operational, and (c) educational infrastructure for innovative neuroscience-based research to use individual
differences on several biological levels together with sophisticated statistical approaches to generate clinically
meaningful predictions of risk and outcomes for mood, anxiety, and eating disorders. The Laureate Institute for
Brain Research (LIBR) in Tulsa, OK, is ideally placed to provide this infrastructure because: (a) LIBR has
recruited young investigators with an impressive track record of scientific productivity, (b) LIBR is situated
adjacent to the Laureate Psychiatric Clinic and Hospital (LPCH), one of the Midwest's largest psychiatric
facilities that provides LIBR with a pipeline for patient recruitment, and (c) LIBR closely collaborates with the
University of Tulsa (TU) on computational statistics and University of Oklahoma, Tulsa (OU) on bioassay
research. The Specific Aims of NeuroMAP are: (1) To provide a state of the art neuroimaging and laboratory
infrastructure to conduct biological experiments with multi-level assessments using core facilities; (2) To
provide a mentoring infrastructure to a group of young investigators to conduct studies that identify predictive
biological markers and processes for patients with mood or anxiety disorders; (3) To create a career
development infrastructure to accelerate the investigator's transition from young investigator to established
investigator; (4) To build an operational infrastructure that provides the tools necessary to conduct the research
projects, standardize assessments and provide a data repository for future pilot projects. NeuroMAP will
consists of: (a) an Administrative Core (Paulus): to establish the infrastructure necessary to expand the
research efforts of the young investigators; (b) Research Core (Bodurka, Teague, McKinney): to provide the
technical expertise to utilize multi-level approaches (from cell markers to symptoms) to quantify individual
differences and generate outcome predictions. The Center proposes 5 different projects: (1) Cerebellar Role
In Fear Conditioning And Extinction. (Cha) Mentor: Amit Etkin, Stanford; (2) Predicting Response To Exposure
Therapy In Anxiety Disorders Using Neural And Behavioral Markers Of Interoceptive Habituation (Feinstein)
Mentor: Murray Stein, UCSD; (3) Interoceptive dysfunction and Appetite Dysregulation in Depression
(Simmons) Mentor: Luan Phan, University of Illinois Chicago; (4) Response To Inflammatory Challenge In
Major Depressive Disorder (Savitz) Mentor: Mike Irwin, UCLA; (5) Dysfu...

## Key facts

- **NIH application ID:** 10246384
- **Project number:** 5P20GM121312-05
- **Recipient organization:** LAUREATE INSTITUTE FOR BRAIN RESEARCH
- **Principal Investigator:** MARTIN P. PAULUS
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $2,187,296
- **Award type:** 5
- **Project period:** 2017-09-15 → 2023-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10246384

## Citation

> US National Institutes of Health, RePORTER application 10246384, The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP) (5P20GM121312-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10246384. Licensed CC0.

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