# National Neuropsychological Network (NNN)

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2024 · $1,750,028

## Abstract

Project Summary
This proposal aims to continue the National Neuropsychology Network (NNN, R01MH118514). The NNN has
exceeded its original ambitious recruitment goals, already has enrolled more than 9,400 individuals, and is on
track to include more than 12,000 participants during the current funding period. With core infrastructure in
place, the NNN has gathered item-level data on representative neuropsychological (NP) instruments and
deposited these data in the NIMH Data Archive (NDA). We created digital history forms and the System for
Acquisition of Item-Level Observations and Responses (SAILOR) and an application programming interface with
Pearson’s Q-interactive platform to enable point-of-testing data acquisition for more than 50 NP tests using
iPads, along with automated scoring and enhanced score reporting features. Data analyses already have tested
measurement invariance between NNN and the original standardization samples, specifying the core latent
constructs that are identified across tests, and generated computerized adaptive test models to show how some
tests can be dramatically shortened without loss of key information. The NNN has further harmonized history-
taking and self-report methods across sites by creating the Structured History Protocol for Neuropsychology
(SHiP-NP) that is now freely available nationwide.
Following aspirations as stated in the original application, the NNN now aims to expand from the four original
clinical research sites in California, Florida, Georgia, and Wisconsin to add a new site in Texas, to include both
English and Spanish speaking (bilingual and monolingual) participants, and to add widely used Spanish
language NP tests. This continuation project further enhances recruitment of participants who report Black or
African American ancestry. The proposed expansion is critically needed to address current disparities in
understanding NP function in racial and ethnic groups that have been underrepresented in biomedical research
despite representing increasingly large proportions of the U.S. population. To increase the scalability of the NNN
and increase integration with healthcare informatics research, the proposal further aims to synchronize data
across electronic medical record (EMR) and NNN databases, thereby automating retrieval of important common
data elements (CDEs) and establishing standards for CDEs that are most important for NP assessment. The
data acquired during the continuation phase will enable analyses to: (a) test measurement invariance across
diverse groups defined by individual, cultural and linguistic differences; (b) create regression-based predictions
of NP performance in clinically-relevant groups based on demographic and social determinants of health (SDOH)
that go beyond race- and ethnicity stratified norms; (c) develop proposals for new more efficient adaptive tests
and test batteries; and (d) create a scalable network structure that can dynamically incorporate novel test content...

## Key facts

- **NIH application ID:** 10737335
- **Project number:** 2R01MH118514-06
- **Recipient organization:** UNIVERSITY OF CALIFORNIA LOS ANGELES
- **Principal Investigator:** ROBERT M BILDER
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $1,750,028
- **Award type:** 2
- **Project period:** 2019-03-04 → 2028-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10737335

## Citation

> US National Institutes of Health, RePORTER application 10737335, National Neuropsychological Network (NNN) (2R01MH118514-06). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10737335. Licensed CC0.

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