What question did this study set out to answer?

To explore the equivalence between modified k-means and tensor decomposition for analyzing EEG microstates.

May 7, 2026NeuroImageOpen Access

Equivalence of modified k-means and tensor decomposition in EEG microstates: Implications for analysis and interpretation

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Shows the equivalence of modified k-means and tensor decomposition in eeg microstates, suggesting improved analysis and interpretation methods.

To explore the equivalence between modified k-means and tensor decomposition for analyzing EEG microstates.
Theoretically demonstrated the equivalence between modified k-means and Implicit Slice Canonical Decomposition.
Used simulations and real EEG data for validation.
Focused on EEG microstate detection and interpretation.
Showed that modified k-means aligns with tensor decomposition for EEG analysis.
Identified new analysis avenues through this relationship.
Enhanced understanding of EEG microstate detection techniques.

Rošťáková et al. (2026) studied this question.

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Shows the equivalence of modified k-means and tensor decomposition in eeg microstates, suggesting improved analysis and interpretation methods.