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Author(s): Jäger AP; Steele CJ; Dreyer FR; Osterloh MR; Sadlon A; Nikulin V; Mohr B; Pulvermüller F;
Background: Intensive language-action therapy treats language deficits and depressive symptoms in chronic poststroke aphasia, yet the underlying neural mechanisms remain underexplored. Long-range temporal correlations (LRTCs) in blood oxygenation level-depe...
Article GUID: 40927858
Author(s): Saputra ST; Van Hulst A; Henderson M; Brugiapaglia S; Faustini C; Kakinami L;
Background: A dual-energy x-ray absorptiometry (DXA)-derived phenotype classification based on fat mass and muscle mass has been developed for adults. We extended this to a paediatric population. Methods: Children's (= 17 years) DXA data in NHANES (n =...
Article GUID: 40878792
Author(s): Tremblay SA; Potvin-Jutras Z; Sabra D; Rezaei A; Sanami S; Gagnon C; Intzandt B; Mainville-Berthiaume A; Wright L; Leppert IR; Tardif CL; St...
Patients with coronary artery disease (CAD) face an increased risk of cognitive impairment, dementia, and stroke. While white matter (WM) lesions are frequently reported in patients with CAD, the e...
Article GUID: 40829939
Author(s): Murphy J; Morais JA; Tsoukas MA; Cooke AB; Daskalopoulou SS; Santosa S;
Introduction: Adipose tissue inflammation, driven in part by immune cells, may contribute to the elevated type 2 diabetes risk in adults with childhood-onset obesity (CO) compared to those with adult-onset obesity (AO). Weight loss can modify adipose tissue...
Article GUID: 40831565
Author(s): Pollock D; Hasanoff S; McBride G; Kanukula R; Tricco AC; Khalil H; Campbell F; Jia RM; Alexander L; Peters M; Vieira AM; Aromataris E; Nunn ...
Introduction: Scoping reviews, mapping reviews and evidence and gap maps (collectively known as 'big picture reviews') in health continue to gain popularity within the evidence ecosystem. T...
Article GUID: 40759523
Author(s): Hosseininasabnajar F; Kakinami L;
Loss of brain tissues and cognitive abilities are natural processes of aging, but longitudinal studies are limited. We explored the longitudinal association between global and regional brain measures with cognitive abilities among individuals with normal co...
Article GUID: 40739300
Author(s): Carter F; Anwander A; Johnson M; Goucha T; Adamson H; Friederici AD; Lutti A; Gauthier CJ; Weiskopf N; Bazin PL; Steele CJ;...
The study of brain structure and change in neuroscience is commonly conducted using macroscopic morphological measures of the brain such as regional volume or cortical thickness, providing little i...
Article GUID: 40705745
Author(s): Di Giovanni DA; Kersten-Oertel M; Drouin S; Collins DL;
Purpose: Image-guided neurosurgery demands precise depth perception to minimize cognitive burden during intricate navigational tasks. Existing evaluation methods rely heavily on subjective user feedback, which can be biased and inconsistent. This study uses...
Article GUID: 40650801
Author(s): Ferland MC; Wang R; Therrien-Blanchet JM; Remahi S; Côté S; Fréchette AJ; Dang-Vu TT; Liu H; Lepage JF; Théoret H;...
Lorazepam is a fast-acting benzodiazepine that is widely used to manage anxiety symptoms through modulation of GABAergic activity. Despite being one of the most prescribed benzodiazepines, the effe...
Article GUID: 40646404
Title: | Cognitive-behavioural therapy for insomnia mechanism of action: Exploring the homeostatic K-complex involvement |
Authors: | Sforza M, Morin CM, Dang-Vu TT, Pomares FB, Perrault AA, Gouin JP, Bušková J, Janku K, Vgontzas A, Fernandez-Mendoza J, Bastien CH, Riemann D, Baglioni C, Carollo G, Casoni F, Zucconi M, Castronovo V, Galbiati A, Ferini-Strambi L, |
Link: | https://pubmed.ncbi.nlm.nih.gov/39739397/ |
DOI: | 10.1111/jsr.14452 |
Category: | |
PMID: | 39739397 |
Dept Affiliation: | SOH
1 Vita-Salute San Raffaele University, Department of Clinical Neurosciences, Neurology-Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy. 2 IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology-Sleep Disorders Center, Milan, Italy. 3 School of Psychology and Centre de Recherche CERVO, Université Laval, Québec, Quebec, Canada. 4 School of Health, Concordia University, Centre de recherches de l'Institut universitaire de gériatrie de Montréal (CRIUGM), CIUSSS Centre-Sud-de-l'île-de-Montréal, Montreal, Quebec, Canada. 5 Third Faculty of Medicine, Charles University, National Institute of Mental Health, Prague, Czech Republic. 6 National Institute of Mental Health, Klecany, Czech Republic. 7 College of Medicine, Penn State Health Milton S. Hershey Medical Center, Sleep Research &Treatment Center, Department of Psychiatry, Pennsylvania State University, Hershey, Pennsylvania, USA. 8 Department of Psychiatry and Psychotherapy, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany. 9 Human Sciences Department, University of Rome Guglielmo Marconi, Rome, Italy. |
Description: |
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*10-5 ± 3.346*10-5, non-Responders = -5.583*10-5 ± 5.305*10-5; 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*10-5 ± 4.446*10-5, KCSlope post-treatment = -4.797*10-5 ± 5.710*10-5). These findings suggest that CBT-I increases sleep pressure in patients with chronic insomnia, highlighting a novel and relevant biomarker in this context. |