# Developmental Multimodal Imaging of Neurocognitive Dynamics (Dev-MIND)

> **NIH NIH R01** · UNIVERSITY OF NEBRASKA MEDICAL CENTER · 2020 · $124,804

## Abstract

Project Summary/Abstract
The Research Domain Criteria (RDoC) project initiated a framework for developing research classifications
based on functional dimensions emerging from translational research on genes, behaviors, circuits, and other
cognitive-biological parameters. Almost a decade later, RDoC has grown into a matrix consisting of functional
domains (e.g., cognitive systems), domain-specific constructs (e.g., attention, perception), and units of analysis
for measuring each construct (e.g., physiology, behavior, genes, etc.). Numerous studies have contributed to
defining each construct in terms of cognitive-biological parameters, and while these efforts have been broadly
successful, the dimensional RDoC constructs themselves remain largely unvalidated.
This lack of adequate validation is central to RFA-MH-19-242, which requests proposals that “perform unbiased
data-driven validation of existing constructs that may involve merging, subdividing, or hierarchically organizing
them by integrating data between and within constructs.” Specifically, the RFA calls for studies that use “multiple
behavioral tasks and levels of analysis per construct,” “multimodal data fusion … to unbiasedly classify and
compare constructs,” and “data-driven definitions of constructs that involve structural and functional data on
how brain states, networks, circuit dynamics, and hierarchies in the signals relate to outputs from task-based
assays.” The RFA also encourages the use of “accelerated longitudinal designs, with a particular emphasis on
development … and cutting-edge computational approaches to classify, predict, and explain developmental
trajectories.” The Developmental Multimodal Imaging of Neurocognitive and (Epi)genomic Dynamics (Dev-
MIND) Consortium responds to this call with an innovative, large-scale developmental multimodal neuroimaging
study that will leverage previously-developed longitudinal pediatric cohorts and data fusion algorithms that this
team established through the NSF-supported Dev-Cog project. Specifically, Dev-MIND will evaluate the
unitarity and potential hierarchical structure of three constructs within the cognitive systems domain (i.e.,
attention, cognitive control, and working memory) using a battery of custom cognitive tasks, multimodal
imaging, (epi)genomic analysis, an accelerated longitudinal design, and data-driven similarity metrics for
construct validation testing. Our neuroimaging approach will include dynamic functional mapping based on
magnetoencephalography (MEG), high-resolution volumetric MRI analyses based on multimodal parcellation,
and functional MRI (fMRI) for whole-brain dynamic functional connectivity. These neuroimaging and behavioral
performance metrics will also be combined with (epi)genetic data to identify covariance between genomic,
cognitive, and neural activity patterns. Such data-driven approaches will enable classification and prediction of
developmental trajectories per construct, and are central to the...

## Key facts

- **NIH application ID:** 9999057
- **Project number:** 5R01MH121101-02
- **Recipient organization:** UNIVERSITY OF NEBRASKA MEDICAL CENTER
- **Principal Investigator:** Tony W. Wilson
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $124,804
- **Award type:** 5
- **Project period:** 2019-08-19 → 2021-01-15

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9999057

## Citation

> US National Institutes of Health, RePORTER application 9999057, Developmental Multimodal Imaging of Neurocognitive Dynamics (Dev-MIND) (5R01MH121101-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9999057. Licensed CC0.

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