# Redefining Large-Scale Functional Network Models of Posttraumatic Stress Disorder through Resolution Limit-Free Community Detection

> **NIH NIH F31** · UNIVERSITY OF WISCONSIN-MADISON · 2020 · $34,239

## Abstract

PROJECT SUMMARY
The following F31 proposal details a comprehensive research and training plan, containing specific research
activities and a mentorship strategy that will provide the PI with the tools and skills to begin a career as an
independent investigator focused on understanding the neurological basis of affective psychopathologies,
specifically posttraumatic stress disorder (PTSD). The PI’s educational background and research training thus
far demonstrates a well-rounded student capable of designing and completing a successful project in clinical
neuroimaging. However, given the ever-evolving field of clinical neuroscience, she requires additional training
and mentorship specific to neural models of PTSD, particularly large-scale network models, and the clinical
characteristics of affective psychopathology. Furthermore, in order to comprehensively examine the
neurological basis of a disorder as complex as PTSD, multi-modal techniques (including resting-state and task-
based functional magnetic resonance imaging (MRI), and emotional-regulation behavior) must be utilized.
Specifically, this project will address the following aims: 1) to demonstrate altered large-scale intrinsic
functional network organization in adults with PTSD and 2) to demonstrate enhanced explanatory power of
large-scale functional network models for understanding functional outcomes in PTSD.
The PI, along with faculty sponsor Dr. Josh Cisler (University of Wisconsin-Madison), has designed a training
plan that will help to launch her career as an independent investigator capable of conducting cutting-edge
clinical research. Specifically, the proposed training plan will challenge the PI to 1) enhance her knowledge of
advanced, innovative, and multi-modal neuroimaging techniques including network analysis with structural MRI
and resting-state and task-based functional MRI. Specifically, she will receive training in both graph-based and
voxelwise processing and analysis of resting-state and task-based functional MRI; 2) advance her knowledge
of PTSD neurocircuitry and obtain advanced training in clinical research in a population of subjects with PTSD
and complex comorbidities. To accomplish this goal, she will receive training in multiple instruments of
diagnostic clinical interviewing, including the Clinician-Administered PTSD Scale, Structured Clinical Interview
for DSM-V Disorders, and the trauma assessment of the National Women’s Survey and National Survey of
Adolescents; and 3) engage in networking and professional development opportunities to improve her scientific
communication and form a network of meaningful connections with clinical researchers and science policy
professionals. To accomplish this goal, she will attend professional meetings and prepare and submit
manuscripts to disseminate her research findings. The overall goal of this training and research plan is provide
a translational foundation to inform neural network models for potential individualized inte...

## Key facts

- **NIH application ID:** 10066765
- **Project number:** 1F31MH122047-01A1
- **Recipient organization:** UNIVERSITY OF WISCONSIN-MADISON
- **Principal Investigator:** Marisa Cathryn Ross
- **Activity code:** F31 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $34,239
- **Award type:** 1
- **Project period:** 2020-09-01 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10066765

## Citation

> US National Institutes of Health, RePORTER application 10066765, Redefining Large-Scale Functional Network Models of Posttraumatic Stress Disorder through Resolution Limit-Free Community Detection (1F31MH122047-01A1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10066765. Licensed CC0.

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