Meta-analysis in human brain mapping

NIH RePORTER · NIH · R01 · $637,306 · view on reporter.nih.gov ↗

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
10157292
Project number
2R01MH074457-14A1
Recipient
UNIVERSITY OF TEXAS HLTH SCIENCE CENTER
Principal Investigator
PETER Thornton FOX
Activity code
R01
Funding institute
NIH
Fiscal year
2021
Award amount
$637,306
Award type
2
Project period
2006-09-15 → 2025-01-31