Barely Significant
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Frontal EEG-Based Multi-Level Attention States Recognition Using Dynamical Complexity and Extreme Gradient Boosting.

Front Hum Neurosci · 2021 · PMC8204057 · PMID 34140885

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highly significantno p-value reported
These topography maps demonstrate that (i) consistently in all three entropy methods, higher attention levels showed higher single-scale EEG complexity than lower attention levels in frontal and central brain regions, whereas resting state showed lowest EEG complexity than keeping focused (see Figure 4A ), and (ii) these differences among the four attention levels in frontal and central regions were highly significant (evaluated by nonparametric Kruskal-Wallis test, see Figure 4B ).

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