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Cortical surface-based threshold-free cluster enhancement and cortexwise mediation.

Tristram A Lett1, Lea Waller1, Heike Tost2,3

  • 1Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Charité Campus Mitte, Berlin, Germany.

Human Brain Mapping
|March 21, 2017
PubMed
Summary
This summary is machine-generated.

Threshold-free cluster enhancement (TFCE) now extends to vertexwise and cortexwise mediation analysis. This novel approach reveals structure-function relationships and mediation mechanisms in multimodal neuroimaging data.

Keywords:
TFCE_mediationcortical thicknessdiffusion magnetic resonance imagingmagnetic resonance imagingmediationnonparametric statisticsstatistical data interpretationsurface area

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Area of Science:

  • Neuroimaging Analysis
  • Brain Structure and Function
  • Statistical Modeling

Background:

  • Threshold-free cluster enhancement (TFCE) is crucial for incorporating spatial information in neuroimaging without arbitrary thresholds.
  • Existing TFCE methods primarily apply to voxelwise data, limiting analysis of multimodal relationships.
  • Understanding complex relationships among multiple variables and imaging modalities is critical in neuroscience.

Purpose of the Study:

  • To introduce a novel method for applying TFCE to vertexwise statistical images and cortexwise mediation analysis.
  • To present TFCE_mediation, an open-source toolbox for cortexwise multiple regression and mediation analysis using TFCE.
  • To validate the toolbox in independent multimodal neuroimaging datasets.

Main Methods:

  • Developed and implemented the TFCE_mediation toolbox for cortexwise multiple regression and mediation analysis.
  • Applied TFCE to vertexwise statistical images and cortexwise mediation models.
  • Validated the toolbox using two independent multimodal neuroimaging samples (N=199 and N=183) in healthy controls.

Main Results:

  • Consistent structure-function relationships were found between surface area and N-back task independent component 1 (IC1).
  • White matter fractional anisotropy (FA) showed a strong association with IC1 N-back.
  • Voxel-based results using TFCE_mediation were comparable to FSL randomise (all PFWE <0.05).
  • Cortexwise mediation analysis identified surface area mediating the relationship between white matter FA and IC1 N-back in the right superior frontal cortex (PFWE <0.05).
  • Vertexwise mediation confirmed the same mediation model (PFWE <0.05).

Conclusions:

  • Cortexwise analysis with TFCE offers an effective approach for analyzing multimodal neuroimaging data.
  • Cortexwise mediation analysis can identify or elucidate mechanisms underlying relationships involving whole-brain scale variables.
  • The TFCE_mediation toolbox provides a valuable resource for advanced neuroimaging statistical analysis.