# Modeling Developmental Change in the ABCD Study: Longitudinal Analyses for Clinical Outcomes

> **NIH NIH R25** · UNIVERSITY OF OREGON · 2020 · $121,804

## Abstract

Project Summary/Abstract
Abstract: This project will fund a five-day immersive workshop that will prepare junior and senior
researchers alike to utilize the ABCD data for longitudinal investigations of brain development in
relation to mental health. The workshop will focus on training researchers on reproducible
neuroimaging methods, longitudinal modeling approaches, and clinical mental health outcomes, with
equal emphasis on theory and application. The workshop will be composed of instructional, tutorial,
roundtable, break-out session, and open hacking components. Workshop attendees will immediately
apply what they learn during the workshop through group projects (“open hacking”) focused on
applying longitudinal approaches to relate brain development to mental health measures in the
ABCD dataset. The main outcome of this workshop will be that researchers leave with answers to
questions about analyzing the longitudinal ABCD data, with a deeper understanding of the theory
behind modeling approaches as well as analytic considerations for highly dimensional data. This will
include training on robust methodology appropriate for clinical outcomes, as well as fostering
collaboration between computational and clinical researchers across career stages. Another
principal aim of this workshop is to contribute to national efforts to diversify the pool of highly trained
biomedical researchers by recruiting a diverse group of attendees by eliminating participation
barriers associated with social inequality, including financial burden, parenting, or disability, and by
creating a safe and welcoming environment during the workshop. The immediate goal of this
workshop is for attendees to acquire the following competencies: a) knowledge of analytical and
statistical considerations specific to large-scale, open, longitudinal datasets; b) how to conduct
reproducible research, with emphasis on secondary analysis of neuroimaging data; c) knowledge of
theory behind longitudinal modeling and ability to apply these models using open-source software;
d) design and execute investigations with clinically meaningful outcomes; e) identify social and
environmental factors that impact the development of psychopathology; and f) communicate with
researchers from diverse backgrounds and build interdisciplinary teams. The dissemination goals of
the proposed workshop include forming working groups to publish papers and present at
conferences, as well as making all code or analytic techniques developed during the workshop
available in online repositories for the broader research community. A long-term goal of this
workshop is to form sustainable interdisciplinary networks between researchers from development,
clinical, and computational backgrounds as these areas of expertise are all needed to advance our
understanding of the development of mental health.

## Key facts

- **NIH application ID:** 10043873
- **Project number:** 1R25MH125545-01
- **Recipient organization:** UNIVERSITY OF OREGON
- **Principal Investigator:** Kathryn L Celis Mills
- **Activity code:** R25 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $121,804
- **Award type:** 1
- **Project period:** 2020-09-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10043873

## Citation

> US National Institutes of Health, RePORTER application 10043873, Modeling Developmental Change in the ABCD Study: Longitudinal Analyses for Clinical Outcomes (1R25MH125545-01). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10043873. Licensed CC0.

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