# Meta-analysis in human brain mapping

> **NIH NIH R01** · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · 2024 · $575,925

## Abstract

This is the competing renewal of the R01 (MH074457-14) which sustains the BrainMap Project
(www.brainmap.org). BrainMap is a neuroimaging research resource facilitating cognitive neuroscience and
disease-biomarker discovery via coordinate-based meta-analysis (CBMA). BrainMap provides its end-user
community with: curated 3-D coordinate data and experimental metadata from peer-reviewed publications;
extensively validated computational tools for CBMA; CBMA-derived tools for data interpretation (e.g., functional
property and disease loadings by location) and data analysis (e.g., via CBMA-derived disease models);
instructional materials and on-site and on-line venues for learning CBMA methods; and, on-going end-user
support. At present, BrainMap.org hosts two coordinate-based databases: task-activation (TA DB) and voxel-
based morphometry (VBM DB). A voxel-based physiology database (VBP DB) is in the planning and piloting
phase. BrainMap maintains an integrated pipeline of cross-platform (Java) tools for data coding (Scribe),
filtered retrieval (Sleuth), activation-likelihood estimation (ALE) CBMA (GingerALE), data visualization (Mango),
and data interpretation (CBMA-derived Mango plugins). Multiple network-modeling approaches have been
successfully applied to BrainMap data – independent components analysis (ICA), author-topic modeling
(ATM), graph-theory modeling (GTM), structural equation modeling (SEM), connectivity-based parcellation
(CBP), and meta-analytic connectivity modeling (MACM) – but none are yet optimized and “pipelined” for
general use. Utilization of BrainMap resources is substantial: our software, data and meta-data have been
used in >1,000 peer-reviewed articles. Of these, > 500 were published in the current funding cycle (2015-
2020). Four aims are proposed, to maintain and extend this high-impact research resource.
 Aim 1. Voxel-based Physiology DataBase (VBP DB) with Analysis Exemplars.
Aim 2. BrainMap Community Portal for Multivariate Modeling with Applications & Exemplars.
Aim 3. Large-scale Parameter Estimations.
Aim 4. BrainMap Pipeline Enhancements and Community Support.

## Key facts

- **NIH application ID:** 10804592
- **Project number:** 5R01MH074457-17
- **Recipient organization:** UNIVERSITY OF TEXAS HLTH SCIENCE CENTER
- **Principal Investigator:** PETER Thornton FOX
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $575,925
- **Award type:** 5
- **Project period:** 2006-09-15 → 2026-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10804592

## Citation

> US National Institutes of Health, RePORTER application 10804592, Meta-analysis in human brain mapping (5R01MH074457-17). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10804592. Licensed CC0.

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