Controlling False Positive Rates in Mass-Multivariate Tests for Electromagnetic Responses
Author Information
Author(s): Gareth R. Barnes, Vladimir Litvak, Matt J. Brookes, Karl J. Friston
Primary Institution: The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL
Hypothesis
Can a heuristic based on the number of unique lead-field extrema effectively control false positive rates in mass-multivariate tests for electromagnetic responses?
Conclusion
The heuristic based on unique lead-field extrema provides a reasonable estimate for controlling false positive rates in mass-multivariate tests.
Supporting Evidence
- The heuristic performs well for both mass-univariate and mass-multivariate tests.
- The study validated the heuristic against empirical permutation thresholds.
- The method accommodates multivariate effects in tests.
Takeaway
This study helps scientists figure out how to avoid mistakes when testing brain signals by using a smart counting method.
Methodology
The study used simulations and real data to validate a heuristic for controlling false positive rates in mass-multivariate tests.
Limitations
The heuristic may not hold when the number of sensors is small, leading to potential aliasing problems.
Participant Demographics
Participants were involved in a study with 200 trials and 274 MEG sensors.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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