What question did this study set out to answer?

The aim is to explore how combining different EEG microstate features improves the classification of mild cognitive impairment (MCI).

April 17, 2026Open Access

Fusion of Multi‐Paradigm EEG Microstate Features to Enhance the Recognition of Mild Cognitive Impairment

Puntos clave

The aim is to explore how combining different EEG microstate features improves the classification of mild cognitive impairment (MCI).
Integrated resting-state and task-evoked EEG microstate features
Analyzed multiple paradigms for improved classification performance
Developed a hybrid electrophysiological approach
Enhanced classification accuracy for MCI compared to single-paradigm approaches
Identified complementary diagnostic information from EEG
Supported a new framework for early MCI detection combining EEG and neuropsychological assessments

Resumen

Integrating resting-state and task-evoked microstate dynamics enhances MCI classification beyond single-paradigm EEG. Importantly, EEG features provide complementary diagnostic information beyond conventional cognitive screening, supporting a hybrid electrophysiological-neuropsychological framework for early detection of MCI.

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