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Are power calculations useful? A multicentre neuroimaging study.

John Suckling1, Julian Henty, Christine Ecker

  • 1Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom; Cambridge and Peterborough Foundation NHS Trust, Cambridge, United Kingdom.

Human Brain Mapping
|March 20, 2014
PubMed
Summary

Voxel-based power calculations from early imaging studies can predict statistical power and sample sizes for larger, multicentre trials. This aids in designing more efficient neuroimaging research for psychiatric and neurological disorders.

Keywords:
multicentreneuroimagingpower calculations

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Area of Science:

  • Neuroimaging
  • Psychiatric and Neurological Disorders Research
  • Statistical Power Analysis

Background:

  • Small-scale imaging experiments often precede large multicentre studies in psychiatric and neurological research.
  • Data from these initial studies can inform statistical power, sample size, and minimum observable effect size predictions.
  • Voxel-based power calculations offer a quantitative method for optimizing study design.

Purpose of the Study:

  • To demonstrate how voxel-based power calculations from calibration experiments can guide decision-making in cross-sectional, multicentre neuroimaging studies.
  • To quantitatively assess the impact of design choices (e.g., MRI sequence, recruitment distribution, registration methods) on study outcomes.
  • To validate these predictive calculations using data from a completed multicentre study.

Main Methods:

  • Utilized data from a calibration experiment preceding the Medical Research Council Autism Imaging Multicentre Study (MRC-AIMS).
  • Performed voxel-based power calculations to estimate statistical power and required sample sizes.
  • Assessed the impact of variations in MRI acquisition, participant recruitment across centres, and image registration techniques on sample size and detectable effect size.
  • Explored the influence of non-linear image registration mappings on predictive accuracy.

Main Results:

  • Voxel-based power calculations accurately predicted statistical power and sample size requirements for the MRC-AIMS study.
  • Design modifications, such as MRI sequence choice and registration methods, quantitatively impacted sample size and detectable effect size.
  • Non-linear registration mappings showed a measurable effect on predictive accuracy, related to local deformation.

Conclusions:

  • Voxel-based power calculations provide a validated, quantitative tool for informed decision-making in neuroimaging study design.
  • These calculations help optimize resource allocation and improve the efficiency of large-scale, multicentre psychiatric and neurological studies.
  • Implementing power calculations can lead to more robust and reliable findings in neuroimaging research.