A method to enhance the sensitivity of DTI analyses to group differences: A validation study with comparison to voxelwise analyses

Matthew D. Cykowski, Jack L. Lancaster, Peter T. Fox

Research output: Contribution to journalArticle

Abstract

Studies of white matter (WM) abnormalities in psychiatric and neurological disorders often use the analysis package Tract-Based Spatial Statistics (TBSS). However, with small samples and/or subtle effects, a study using the standard TBSS approach can be underpowered. For such cases, a new method is presented that summarizes global differences between TBSS-derived fractional anisotropy (FA) images with a single paired t-statistic, estimating the degrees of freedom using spatial autocorrelation. The sensitivity of the method is demonstrated by using well-known aging effects on FA as a proxy for disease effects. Sixty healthy subjects were divided equally into younger- (YA), middle- (MA), and older-aged (OA) groups and significant global differences were demonstrated in the YA versus OA (all N≥4, FA difference ≈ 0.023), MA versus OA (all N≥4, FA difference ≈ 0.017), and YA versus MA (FA difference ≈ 0.005 at N = 20) comparisons. In contrast, no significant difference could be detected in the YA versus MA comparison using voxelwise TBSS analysis with the full sample (N=20 per group). This method should facilitate localizing analyses in the direction of a proven group difference while providing clinically relevant information about pathophysiologic processes globally affecting WM.

Original languageEnglish (US)
Pages (from-to)191-198
Number of pages8
JournalPsychiatry Research - Neuroimaging
Volume193
Issue number3
DOIs
StatePublished - Sep 30 2011

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Keywords

  • Diffusion tensor imaging
  • Fractional anisotropy
  • Spatial autocorrelation
  • Tract-based spatial statistics

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Radiology Nuclear Medicine and imaging
  • Psychiatry and Mental health

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