Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis.

Sensors (Basel) · 2021 · PMC8588444 · PMID 34770378

Europe PMC DOI

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highly significantno p-value reported

The results, as demonstrated later, are highly significant, and therefore we can conclude that there exist connectivity anomalies in the dyslexic brain that the Bayesian classifier can detect.

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Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.