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May 7, 2026NeuroImageOpen Access

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

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Authors

ZRZuzana RošťákováRRRoman Rosipal

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Overview

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

Key Points

  • 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.

Cite This Study

Rošťáková et al. (2026) studied this question.

synapsesocial.com/papers/69fbe382164b5133a91a2d25https://doi.org/10.1016/j.neuroimage.2026.121962
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