# Ding R01 Administrative Supplement

> **NIH NIH R01** · UNIVERSITY OF FLORIDA · 2023 · $194,783

## Abstract

Project Summary: The parent award (R01MH125615) of this supplement application seeks to investigate the
neural mechanisms of learning and un-learning of a fear response through fear conditioning and fear extinction.
The goal is to advance our understanding of how visual and attention networks interact during associative
learning as well as to inform clinical intervention and diagnostic procedures in a variety of psychiatric disorders
where fear is a transdiagnostic pathology. A large multimodal/multiscale neuroimaging dataset, which includes
simultaneous EEG-fMRI, physiological measures such as heart rate and skin conductance, as well as behavioral
and self-report data, is being acquired according to the proposed timeline.
Recent advances in AI/ML are beginning to revolutionize neuroimaging and neural data analysis. We seek
to leverage these advances to enable innovative testing of our hypotheses. Readying our multimodal/
multiscale data for AI/ML, however, faces challenges. The goal of this administrative supplement is to
bring together expertise in data management, data processing, AI/ML, and neuroscience/experimental
psychology to meet these challenges.
Two aims will be pursued. The objective of Aim 1 is to build an infrastructure for preparing the
multimodal/multiscale data for AI/ML analysis and sharing. Specifically, we will develop protocols for data
denoising, imputation, pre-processing, bias correction, artifact removal, normalization, and harmonization and
establish pipelines to integrate and consolidate data from different data sources into a unifying repository for
analysis and sharing according to the FAIR principle. The objective of Aim 2 is to design a novel AI-driven
platform for analyzing multimodal/multiscale data. Specifically, we will develop a transformer-based platform to
enable multimodal learning from diverse sources of data and link the outcomes of learning with the proposed
cognitive/neurophysiological model to enable the innovative testing of the hypotheses in the parent award.

## Key facts

- **NIH application ID:** 10842657
- **Project number:** 3R01MH125615-03S1
- **Recipient organization:** UNIVERSITY OF FLORIDA
- **Principal Investigator:** MINGZHOU DING
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $194,783
- **Award type:** 3
- **Project period:** 2021-08-01 → 2026-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10842657

## Citation

> US National Institutes of Health, RePORTER application 10842657, Ding R01 Administrative Supplement (3R01MH125615-03S1). Retrieved via AI Analytics 2026-06-12 from https://api.ai-analytics.org/grant/nih/10842657. Licensed CC0.

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