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Amplitude coupling is altered in delirium of various etiologies: Results from a retrospective multi-center case-control EEG study

  • Robert Fleischmann*
  • , Annerose Mengel
  • , Cornelis J. Stam
  • , Sophie Leroy
  • , Pauline Schneider
  • , Arjen J. C. Slooter
  • , Johannes Ehler
  • , Edwin van Dellen
  • *Corresponding author for this work
  • University of Greifswald
  • University of Tübingen
  • Amsterdam UMC - University of Amsterdam
  • Utrecht University
  • Friedrich Schiller University Jena

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Objective: Delirium manifests with comparable clinical presentations, regardless of its heterogeneous etiology. This suggests a final common pathway such as decreased electroencephalography (EEG) phase coupling. This study investigates if amplitude coupling, another mode of neural communication, is altered in delirium due to different etiologies. Methods: We analyzed EEGs of patients from three sites with either postoperative, poststroke or medical delirium and non-delirious control patients. Amplitude envelope correlation corrected for spatial leakage (AECc) was calculated and Mann-Whitney U-tests were used to compare patients with or without delirium. AECc differences among delirium types were compared using Kruskal-Wallis tests. Results: AECc was significantly increased in delirious (n = 173, age 79.2±9.3 years, 46 % female) as compared to non-delirious (n = 204, age 72.9±13.1 years, 45 % female) patients in the delta (median, effect size of difference: 0.16 vs. 0.12, r = 0.28, p < 0.01) and beta band (0.11 vs. 0.09, r = 0.14, p = 0.04). These changes did not differ among delirium types (p > 0.05). Conclusions: We found modestly higher delta and beta band AECc in delirium compared to non-delirious control patients, regardless of the presumed etiology. Significance: This study provides evidence for altered amplitude coupling as mode of impaired neuronal communication in delirium, the role of which should be investigated in future studies of neural network pathophysiology.
Original languageEnglish
Pages (from-to)132-137
Number of pages6
JournalClinical neurophysiology
Volume173
DOIs
Publication statusPublished - 1 May 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Amplitude-amplitude coupling
  • Connectivity
  • Delirium
  • Electroencephalography
  • Postoperative
  • Stroke

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