Barely Significant
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MCFANet: a multi-class fusion attention network for motor imagery EEG classification.

Front Hum Neurosci · 2026 · PMC13102652 · PMID 42039372

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highly significantp < 0.001actually significant
Specifically, compared to traditional spatial filtering methods CSP and FBCSP, the differences are highly significant ( p < 0.001), with effect sizes of 3.67 and 2.29 respectively, showing that MCFANet has clear advantages in feature extraction.

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