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Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
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Coordinate based meta-analysis of functional neuroimaging data using activation likelihood estimation; full width
Christopher R Tench1, Radu Tanasescu2, Dorothee P Auer3
1Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, United Kingdom.
Plos One
|September 17, 2014
Summary
This study redefines the full width half max (FWHM) parameter in coordinate-based meta-analysis (CBMA) to improve cluster detection reliability and reduce false positives. New methods enhance contrast meta-analysis for detecting subtle group differences in neuroimaging studies.
Area of Science:
- Neuroimaging analysis
- Statistical modeling
- Brain mapping
Background:
- Coordinate-based meta-analysis (CBMA) aggregates neuroimaging findings but relies on the full width half max (FWHM) parameter, which impacts results.
- Current FWHM definitions can lead to sensitivity issues and increased false positive rates, particularly in contrast meta-analysis.
Purpose of the Study:
- To redefine the FWHM parameter in CBMA to enhance the reliability of cluster detection.
- To develop improved methods for contrast meta-analysis, including a novel omnibus test for detecting diffuse group differences.
Main Methods:
- A novel method to estimate and redefine the FWHM parameter, accounting for the number of studies in the analysis.
- Development of an algorithm for contrast meta-analysis with correction for multiple correlated tests.
- Introduction of an omnibus test for detecting diffuse differences between groups.
Main Results:
- The redefined FWHM improves cluster detection reliability, especially with fewer studies, and decreases false positive rates with more studies.
- The standard FWHM definition paradoxically increases false positives with more studies and reduces detection for small study numbers.
- The new contrast meta-analysis algorithm and omnibus test offer increased sensitivity for detecting subtle, diffuse group differences.
Conclusions:
- The redefined FWHM parameter offers a substantial improvement to CBMA, enhancing reliability and accuracy.
- The developed contrast meta-analysis methods provide more sensitive tools for neuroimaging group comparisons.
- These advancements facilitate more robust and nuanced interpretations of neuroimaging meta-analyses.
