Barely Significant
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Identification and validation of an interpretable EEG-based machine learning model for the diagnosis of post-stroke cognitive impairment.

Front Aging Neurosci · 2025 · PMC12832639 · PMID 41601594

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marginally significantp = 0.01actually significant
Initial analyses revealed no significant differences in demographic or EEG characteristics between the post-stroke non-cognitive impairment (PSN) group and healthy controls (HC), with the exception of marginally significant variations in A-MMD ( p = 0.01) and B-MMD ( p = 0.03) ( Supplementary material 1 ).

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