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Test-retest and between-site reliability in a multicenter fMRI study.

Lee Friedman1, Hal Stern, Gregory G Brown

  • 1Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA. lfriedman10@comcast.net

Human Brain Mapping
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Summary

High test-retest reliability was found for functional MRI (fMRI) assessments. Strategies like larger regions of interest (ROIs) and adjusted smoothness significantly improved between-site reliability in multicenter studies.

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Area of Science:

  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI)
  • Multicenter Studies

Background:

  • Assessing the reliability of functional MRI (fMRI) is crucial for multicenter research.
  • The FBIRN Phase 1 study aimed to evaluate test-retest and between-site reliability of fMRI assessments.
  • Variability across sites can impact the consistency of fMRI results.

Purpose of the Study:

  • To estimate test-retest and between-site reliability of fMRI assessments in a multicenter setting.
  • To identify factors influencing between-site reliability and propose methods for improvement.
  • To provide guidance on best practices for future multicenter neuroimaging studies.

Main Methods:

  • Five subjects were scanned on 10 MRI scanners across two sessions using a sensorimotor task.
  • Impulse response functions were analyzed using FIR-deconvolution with FMRISTAT.
  • Reliability was assessed using intraclass correlation coefficients derived from variance components analysis on functionally-derived ROIs.

Main Results:

  • High test-retest reliability was observed for the fMRI assessments.
  • Initial between-site reliability was low, attributed to site and site-by-subject variance.
  • Increasing ROI size, adjusting for smoothness, and adding runs improved between-site reliability by 123% for 3T scanners.

Conclusions:

  • Test-retest reliability of fMRI is generally high.
  • Between-site reliability can be significantly enhanced through methodological adjustments.
  • Careful consideration of factors like ROI selection and data processing is essential for robust multicenter fMRI studies.