EEG microstate analysis in trigeminal neuralgia: identifying potential biomarkers for enhanced diagnostic accuracy.

Journal: Acta neurologica Belgica
Published Date: May 26, 2025

Abstract

OBJECTIVE: This study investigated EEG microstate dynamics in trigeminal neuralgia (TN) patients to understand the central nervous system's contribution to this neuropathic pain condition. Despite TN's traditional classification as a peripheral neuropathy, altered brain network organization may play a critical role in pain chronification and treatment resistance, making EEG microstates a valuable tool for capturing these dynamic neural signatures.

Authors

  • Reza Ahmadi Lashaki
    Department of Computer Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.
  • Zahra Raeisi
    Department of Computer Science, University of Fairleigh Dickinson, Vancouver Campus, Vancouver, Canada.
  • Abolfazl Sodagartojgi
    Department of Statistics, Rutgers University, New Brunswick, NJ, USA.
  • Fatemeh Abedi Lomer
    Department of Computer Engineering, Faculty of Electrical and Computer Engineering islamic azad university Miyaneh branch, Miyaneh, Iran.
  • Elnaz Aghdaei
    School of Electrical and Computer Engineering, The University of Oklahoma, Norman, USA.
  • Hossein Najafzadeh
    Department of Medical Bioengineering, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.

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