Decoding basal ganglia motor circuit dysfunction from handwriting: a physics-informed neural signal interpretation framework for Parkinson's disease screening.

Front Neuroinform · 2026 · PMC13269255 · PMID 42312129

Europe PMC DOI

hedged sentences

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closest p · 0.0× alpha

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boldest claim

The sentences

highly significantp < 10 −33actually significant

Support Vector Machines achieved 84.06% accuracy and 93.56% sensitivity, with highly significant group differences across all features ( p < 10 −33 ; Cohen's | d | = 0.87–1.51).

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practically significantno p-value reported

This indicates that the differences are practically significant.

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