NeuroVault

NeuroVault stores unthresholded statistical maps, parcellations, and atlases of the brain, enabling researchers to share and analyze neuroimaging data and perform image-based meta-analysis (IBMA).

Key Features:

• Data Repository: Stores unthresholded statistical maps, parcellations, and atlases of the brain.
• Image-Based Meta-Analysis: Provides tools for selecting and analyzing neuroimaging statistical maps to perform IBMA.
• Multi-Stage Selection Framework: Supports preliminary, heuristic, and manual image selection methods for identifying appropriate statistical maps.
• Meta-Analytic Estimator Methods: Implements multiple meta-analytic estimators including robust estimators such as median for handling spurious images in heterogeneous task domains.

Scientific Applications:

• Working Memory Meta-Analysis: Conducts image-based meta-analyses of fMRI studies investigating working memory processes.
• Motor Processing Meta-Analysis: Conducts image-based meta-analyses of fMRI studies investigating motor function.
• Emotion Processing Meta-Analysis: Conducts image-based meta-analyses of fMRI studies investigating emotion processing, including heterogeneous sets of tasks and contrasts.
• Data Quality Assessment: Systematically assesses the quality of neuroimaging data for meta-analytic purposes.

Methodology:

NeuroVault employs a multi-stage selection framework with preliminary, heuristic, and manual image selection methods, and evaluates meta-analytic estimators including robust methods such as median for handling heterogeneous fMRI tasks and contrasts.