# Data Exploration and Analysis Portal for Brain Research through Advanced Imaging Neuroscience

> **NIH NIH RF1** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2020 · $1,142,508

## Abstract

Project Summary
Population neuroscience requires investigation of brain-behavioral relationships within epidemiological
samples studied in longitudinal designs, including a large number of assessment modalities and with subjects
enrolled at many data collection sites to achieve a large sample and broad representation of the population. Of
note, the Adolescent Brain Cognitive Development (ABCD) Study and the Human Connectome Project
Development (HCP-D and HCP-A), have, in aggregate, enrolled thousands of individuals, many as children
and adolescents, and are expected to follow them for up to ten years. Foreseeing the need for an accessible
analysis platform to foster rigorous modeling, the ABCD Data Analysis and Informatics Center (DAIC) has
developed and deployed the web-based Data Exploration and Analysis Portal (DEAP). Despite its nascent
stage, the present version of DEAP already provides a flexible tool that meets many needs of both data
scientists and applied investigators. Here, we propose to produce a more versatile extension of DEAP, the
Data Exploration and Analysis Portal for Brain Research through Advanced Imaging Neuroscience (DEAP-
BRAIN). We will implement important new features by incorporating approaches for: i) including HCP data to
assess generalizability; ii) newly developed poly-vertex score as a method to summarize generalizability of
whole brain patterns; and iii) bias assessment based on causal inference methods. By the completion of this
proposal, we will facilitate reproducible and valid scientific discovery through providing the research community
with an easy to use but sophisticated informatics tool. The Specific Aims of the proposal are:
Specific Aim 1: Integrating HCP data into DEAP-BRAIN. We will integrate ABCD and HCP data through
homogenizing the imaging processing and variable conventions. The HCP adult cohort and HCP lifespan
development cohort will be integrated in DEAP, allowing a formal assessment of generalizability.
Specific Aim 2: Implementing poly-vertex scores (PVS) as the framework for assessing generalizability
of brain mapping. We will implement our newly developed PVS method, an innovative approach to
summarize the reproducibility of association patterns across brain.
Specific Aim 3: Implementing bias assessment modules. We will implement the bias assessment module
for DEAP users based on causal inference principles, using propensity scores, principal component methods,
and synthetic controls.

## Key facts

- **NIH application ID:** 10011169
- **Project number:** 1RF1MH120025-01A1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO
- **Principal Investigator:** Chun Chieh Fan
- **Activity code:** RF1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,142,508
- **Award type:** 1
- **Project period:** 2020-08-17 → 2024-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10011169

## Citation

> US National Institutes of Health, RePORTER application 10011169, Data Exploration and Analysis Portal for Brain Research through Advanced Imaging Neuroscience (1RF1MH120025-01A1). Retrieved via AI Analytics 2026-05-29 from https://api.ai-analytics.org/grant/nih/10011169. Licensed CC0.

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