Split-test Bonferroni correction for QEEG statistical maps |
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Authors: | Francois-Benoit Vialatte Andrzej Cichocki |
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Institution: | (1) RIKEN Brain Science Institute, L.ABSP, 2-6 Hirosawa, Wako-Shi, Saitama-Ken 351-0198, Japan |
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Abstract: | With statistical testing, corrections for multiple comparisons, such as Bonferroni adjustments, have given rise to controversies
in the scientific community, because of their negative impact on statistical power. This impact is especially problematic
for high-multidimensional data, such as multi-electrode brain recordings. With brain imaging data, a reliable method is needed
to assess statistical significance of the data without losing statistical power. Conjunction analysis allows the combination
of significance and consistency of an effect. Through a balanced combination of information from retest experiments (multiple
trials split testing), we present an intuitively appealing, novel approach for brain imaging conjunction. The method is then
tested and validated on synthetic data followed by a real-world test on QEEG data from patients with Alzheimer’s disease.
This latter application requires both reliable type-I error and type-II error rates, because of the poor signal-to-noise ratio
inherent in EEG signals. |
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Keywords: | QEEG Split test Conjunction Bonferroni correction Brain imaging Type II error |
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