# Exposing the Deep Content of the Publication: Knowledge Extraction for Neuroimaging in Child Psychiatry

> **NIH NIH R01** · UNIV OF MASSACHUSETTS MED SCH WORCESTER · 2020 · $545,490

## Abstract

Abstract
Numerous psychiatric disorders can plague the development of children. Each of these disorders manifests as
a distinct pattern of clinical, behavioral, etiological, neuroanatomic, and neurofunctional characteristics that
challenge the management of the individual patient, as well as the development of successful intervention and
prevention strategies. In the area of neuroimaging, a substantial number of studies have been performed and
published in the literature; while each study produces a wealth a clinical and imaging data, most of the detailed
knowledge information in the manuscript (detailed findings, methods, raw and derived data, etc.) remains an
untapped resource due to limitations of the current publication format related to standards of human and
machine-readable knowledge expression. Following upon the successful development of numerous data
sharing resources and mandates, this proposal seeks to develop the tools necessary to liberate the detailed
knowledge expressions form the publication, enhance our ability to query, drive inference and act upon these
published knowledge elements via the Child Psychiatry Portal, and embark on a research plan that highlights
the utility of these combined data resources to solve specific problems in the child psychiatry domain related to
reproducibility of findings and amplification of RDoC constructs. Successful execution of this program of social,
technical and biological study will move the field forward by providing additional methods for all investigators to
fulfill their NIH obligation to participate in open, reproducible science. As such, this fosters a bolder ‘discovery-
mode’ data interrogation designed to capture the richness of the neuroimaging data landscape and provide
better directed hypotheses for future study into diagnosis, prediction, monitoring of therapeutic intervention.

## Key facts

- **NIH application ID:** 9967840
- **Project number:** 5R01MH083320-12
- **Recipient organization:** UNIV OF MASSACHUSETTS MED SCH WORCESTER
- **Principal Investigator:** Jean A Frazier
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $545,490
- **Award type:** 5
- **Project period:** 2009-08-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9967840

## Citation

> US National Institutes of Health, RePORTER application 9967840, Exposing the Deep Content of the Publication: Knowledge Extraction for Neuroimaging in Child Psychiatry (5R01MH083320-12). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9967840. Licensed CC0.

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