Cognitive‐behavioural therapy for insomnia mechanism of action: Exploring the homeostatic <scp>K</scp> ‐complex involvement

Investigating the mechanisms of action of cognitive-behavioural therapy for insomnia (CBT-I), the first-line treatment for chronic insomnia disorder (ID), can contribute to the overall understanding of insomnia and its treatment. To date, no study has examined the relationship between K-complexes (KC) and CBT-I, despite the known homeostatic and protective function of this relevant sleep brainwave. This retrospective multicentre study aims to explore the relationship between electroencephalographic (EEG) indices and CBT-I, with a particular focus on evaluating an index of sleep homeostasis identified by KC. This research is designed to assess the predictive value of this index for treatment outcomes and to examine its variations before and after intervention. Ninety eight patients with ID underwent a 6-8 week in-person CBT-I programme, with pre-and post-treatment evaluation conducted using polysomnography (PSG) and the Insomnia Severity Index (ISI). The main outcome was determined by calculating the slope of the linear equation indexing the KC density (number of KC/minutes of N2) in each non-artifacted NREM stage 2 epoch throughout the night (KCSlope). Furthermore, the sample was categorised into Responders (ISIdecrease ≥8) and non-Responders (ISIdecrease <8). The results indicate that the KC Slope is effective not only to predict treatment response (one-way ANOVA, F = 7.831 p = 0.007; Responders = -2.954*10<sup>-5</sup> ± 3.346*10<sup>-5</sup>, non-Responders = -5.583*10<sup>-5</sup> ± 5.305*10<sup>-5</sup>; adjusted for PSG wake after sleep onset at the baseline), but also to detect a statistically significant improvement in sleep pressure following CBT-I (Wilcoxon signed-rank test W = 3074.000 p = 0.022; KCSlope pre-treatment = -4.054*10<sup>-5</sup> ± 4.446*10<sup>-5</sup>, KCSlope post-treatment = -4.797*10<sup>-5</sup> ± 5.710*10<sup>-5</sup>). These findings suggest that CBT-I increases sleep pressure in patients with chronic insomnia, highlighting a novel and relevant biomarker in this context.

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Journal
Journal of Sleep Research
Published
2024-12-30
DOI
https://doi.org/10.1111/jsr.14452
Citations
4
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
2.03
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article

Cognitive‐behavioural therapy for insomnia mechanism of action: Exploring the homeostatic K ‐complex involvement

Francesca Casoni, Andrea Galbiati, Giacomo Carollo, Charles M. Morin et al.
4 citations
Journal of Sleep Research
Sleep and related disorders
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article

Cognitive‐behavioural therapy for insomnia mechanism of action: Exploring the homeostatic K ‐complex involvement

Francesca Casoni, Andrea Galbiati, Giacomo Carollo, Charles M. Morin, Chiara Baglioni, Dieter Wilhelm Riemann, Florence B. Pomares, Karolína Janků, Thien Thanh Dang‐Vu, Marco Sforza, Julio Fernández‐Mendoza, Célyne Bastien, Alexandros N. Vgontzas, Luigi Ferini‐Strambi, Marco Zucconi, Aurore A. Perrault, Jean‐Philippe Gouin, Jitka Bušková, Vincenza Castronovo
article en
4 citations

Abstract

Investigating the mechanisms of action of cognitive-behavioural therapy for insomnia (CBT-I), the first-line treatment for chronic insomnia disorder (ID), can contribute to the overall understanding of insomnia and its treatment. To date, no study has examined the relationship between K-complexes (KC) and CBT-I, despite the known homeostatic and protective function of this relevant sleep brainwave. This retrospective multicentre study aims to explore the relationship between electroencephalographic (EEG) indices and CBT-I, with a particular focus on evaluating an index of sleep homeostasis identified by KC. This research is designed to assess the predictive value of this index for treatment outcomes and to examine its variations before and after intervention. Ninety eight patients with ID underwent a 6-8 week in-person CBT-I programme, with pre-and post-treatment evaluation conducted using polysomnography (PSG) and the Insomnia Severity Index (ISI). The main outcome was determined by calculating the slope of the linear equation indexing the KC density (number of KC/minutes of N2) in each non-artifacted NREM stage 2 epoch throughout the night (KCSlope). Furthermore, the sample was categorised into Responders (ISIdecrease ≥8) and non-Responders (ISIdecrease <8). The results indicate that the KC Slope is effective not only to predict treatment response (one-way ANOVA, F = 7.831 p = 0.007; Responders = -2.954*10<sup>-5</sup> ± 3.346*10<sup>-5</sup>, non-Responders = -5.583*10<sup>-5</sup> ± 5.305*10<sup>-5</sup>; adjusted for PSG wake after sleep onset at the baseline), but also to detect a statistically significant improvement in sleep pressure following CBT-I (Wilcoxon signed-rank test W = 3074.000 p = 0.022; KCSlope pre-treatment = -4.054*10<sup>-5</sup> ± 4.446*10<sup>-5</sup>, KCSlope post-treatment = -4.797*10<sup>-5</sup> ± 5.710*10<sup>-5</sup>). These findings suggest that CBT-I increases sleep pressure in patients with chronic insomnia, highlighting a novel and relevant biomarker in this context.

Journal of Sleep ResearchVol. 34(4)
Vita-Salute San Raffaele University (IT), University of Freiburg (DE), Charles University (CZ), Marconi University (IT), Institut Universitaire de Gériatrie de Montréal (CA), Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal (CA), Istituti di Ricovero e Cura a Carattere Scientifico (IT), National Institute of Mental Health (CZ), Université Laval (CA), Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT), Concordia University (CA), Penn State Milton S. Hershey Medical Center (US)
Good health and well-being
Openalex Percentile: Top 12%
Sleep and related disorders
2.03
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