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Thresholds in fMRI studies: reliable for single subjects?

M Tynan R Stevens1, Ryan C N D'Arcy, Gerhard Stroink

  • 1Department of Physics, Dalhousie University, Halifax, NS B3H 4R2, Canada(1); Biomedical Translational Imaging Centre (BIOTIC), IWK Health Centre, Halifax, NS B3K 6R8, Canada(2).

Journal of Neuroscience Methods
|August 21, 2013
PubMed
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Functional MRI (fMRI) reliability is crucial for clinical use, but voxel thresholding impacts results. This study shows thresholding affects reliability and proposes individual-based optimization for accurate fMRI activation maps.

Area of Science:

  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI)
  • Biostatistics

Background:

  • Test-retest reliability of active voxel classification in fMRI is vital for clinical applications.
  • The impact of voxel-wise thresholding on fMRI reliability has been historically underestimated.
  • Current reliability studies often use fixed thresholds, hindering result comparisons and individual-level analysis.

Purpose of the Study:

  • To investigate the threshold dependence of fMRI reliability measures.
  • To develop an automated, individual-level threshold selection routine for fMRI analysis.
  • To highlight limitations of traditional fixed-threshold approaches in fMRI reliability.

Main Methods:

  • Assessed threshold dependence using Receiver Operating Characteristic-reliability (ROC-r) and Rombouts overlap (RR) measures.
Keywords:
Analysis thresholdAutomated pipelineClinical fMRIIndividual subjectROCTest–retest reliability

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  • Applied novel and established reliability measures to fMRI data from eight subjects across repeated sessions.
  • Utilized data-driven approaches with minimal statistical assumptions to summarize threshold-reliability relationships.

    • Main Results:

    • fMRI reliability measures demonstrated significant variation dependent on the chosen voxel threshold.
    • The observed threshold dependence varied considerably across individual subjects.
    • Novel procedures using ROC-r and overlap analysis were demonstrated for optimizing thresholds on an individual basis.

    Conclusions:

    • Voxel thresholding significantly influences fMRI reliability measures, with substantial inter-individual variability.
    • Optimizing thresholds on an individual level is critical for robust fMRI activation mapping.
    • Developing individualized thresholding methods is a key advancement for fMRI's diagnostic utility.