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Intermediate Technical IVT

voxel-wise

Pronunciation: vox-el-wise

An analysis approach that performs statistical tests independently at each three-dimensional pixel (voxel) in brain imaging data.

Full Definition

Voxel-wise analysis is a mass univariate statistical approach fundamental to neuroimaging data analysis, where statistical tests are performed independently at each voxel throughout the brain volume. This method enables comprehensive brain mapping by testing hypotheses at every spatial location without requiring a priori region-of-interest definitions. In neuroinformatics, voxel-wise approaches are essential for identifying activation patterns, structural differences, or connectivity changes across the entire brain. The technique requires careful consideration of multiple comparisons corrections due to the large number of statistical tests performed (often hundreds of thousands). Common applications include activation mapping in fMRI, morphometric analysis of structural data, and whole-brain correlation analyses with behavioral or clinical measures.

Usage

Usage note: Always hyphenate; distinguish from vertex-wise (surface-based) analyses.

In Context

  • "Voxel-wise analysis identified significant activation clusters in the bilateral inferior parietal cortex." — Statistical analysis results
  • "The voxel-wise comparison revealed group differences in gray matter density after correction for multiple comparisons." — Morphometric study findings

Also known as

mass univariate

Contrasted with

region-of-interest ROI-based

Don't confuse with

vertex-wise whole-brain

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