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Related Experiment Video

Updated: Jul 6, 2026

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
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Published on: November 27, 2019

Impact of inconsistent resolution on VBM studies.

João M S Pereira1, Peter J Nestor, Guy B Williams

  • 1Department of Clinical Neurosciences, University of Cambridge School of Clinical Medicine, Cambridge, UK. jmsp2@wbic.cam.ac.uk

Neuroimage
|March 18, 2008
PubMed
Summary

Voxel dimensions in magnetic resonance imaging (MRI) scans can impact voxel-based morphometry (VBM) studies. Balancing groups and using covariates reduces errors compared to indiscriminate use of varying voxel dimensions.

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Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Computational Neuroscience

Background:

  • Voxel-based morphometry (VBM) is crucial for analyzing neuroanatomical differences.
  • Longitudinal studies and analyses of existing databases often involve magnetic resonance imaging (MRI) scans with varying voxel dimensions.

Purpose of the Study:

  • To investigate the effects of using MRI scans with different voxel dimensions in VBM studies.
  • To assess the impact of scan interpolation on VBM analysis outcomes.

Main Methods:

  • Contrasted control groups with semantic dementia and Alzheimer's disease patients using scans with mixed voxel dimensions.
  • Interpolated scans using a sinc function to alter voxel depth.
  • Quantified differences using visual inspection and root-mean-square error of t-maps against a high-resolution benchmark.

Main Results:

  • The impact of voxel dimension variation is scan-dependent, with some scans showing greater robustness to interpolation.
  • A proposed measure of robustness can help assess the effects of mixing or adjusting voxel dimensions.
  • Indiscriminate use of voxel dimensions increased false positives/negatives compared to balanced groups with a covariate.

Conclusions:

  • Voxel dimension consistency is important in VBM studies to avoid introducing errors.
  • A balanced group approach with a voxel dimension nuisance covariate is preferable to indiscriminate use.
  • The proposed robustness measure aids in managing variability in multi-dimensional VBM analyses.