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"I)" Keyword-tagged Publications:

Title Authors PubMed ID
1 Improved electrical performance of PDMS and PEDOT: PSS composites with MWCNT and AgNP particles Shafagh SH; Deen I; Packirisamy M; 41424586
ENCS
2 Pseudocapacitive MXene@Fe-TA ternary mediator enhances denitrification via optimized electron transfer and microbial regulation in wastewater treatment Pan S; Wang X; Guo T; An H; Guo Y; Chen Z; Lian J; Guo J; 41043789
ENCS
3 Surgical hyperspectral imaging: a systematic review Ali HM; Xiao Y; Kersten-Oertel M; 40824764
ENCS
4 Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R; 40336660
ENCS
5 Cognitive-behavioural therapy for insomnia mechanism of action: Exploring the homeostatic K-complex involvement 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; 39739397
SOH
6 Bayesian workflow for the investigation of hierarchical classification models from tau-PET and structural MRI data across the Alzheimer's disease spectrum Belasso CJ; Cai Z; Bezgin G; Pascoal T; Stevenson J; Rahmouni N; Tissot C; Lussier F; Rosa-Neto P; Soucy JP; Rivaz H; Benali H; 37920382
PERFORM
7 Identification of a Conserved Transcriptional Activator-Repressor Module Controlling the Expression of Genes Involved in Tannic Acid Degradation and Gallic Acid Utilization in Aspergillus niger Arentshorst M; Falco MD; Moisan MC; Reid ID; Spaapen TOM; van Dam J; Demirci E; Powlowski J; Punt PJ; Tsang A; Ram AFJ; 37744122
CSFG
8 A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects Xiao Y; Gilmore G; Kai J; Lau JC; Peters T; Khan AR; 37663773
ENCS
9 Dynamic networks differentiate the language ability of children with cochlear implants Koirala N; Deroche MLD; Wolfe J; Neumann S; Bien AG; Doan D; Goldbeck M; Muthuraman M; Gracco VL; 37409105
PSYCHOLOGY
10 A dataset of multi-contrast unbiased average MRI templates of a Parkinson's disease population Madge V; Fonov VS; Xiao Y; Zou L; Jackson C; Postuma RB; Dagher A; Fon EA; Collins DL; 37213552
IMAGING
11 Bilingual language experience and the neural underpinnings of working memory Kousaie S; Chen JK; Baum SR; Phillips NA; Titone D; Klein D; 34728242
PSYCHOLOGY
12 Vaccine hesitancy: evidence from an adverse events following immunization database, and the role of cognitive biases Azarpanah H; Farhadloo M; Vahidov R; Pilote L; 34530804
JMSB
13 Evaluation of a personalized functional near infra-red optical tomography workflow using maximum entropy on the mean Cai Z; Uji M; Aydin Ü; Pellegrino G; Spilkin A; Delaire É; Abdallah C; Lina JM; Grova C; 34342073
PERFORM
14 Acceleration mechanism of bioavailable Fe(Ⅲ) on Te(IV) bioreduction of Shewanella oneidensis MR-1: Promotion of electron generation, electron transfer and energy level. He Y, Guo J, Song Y, Chen Z, Lu C, Han Y, Li H, Hou Y, Zhao R 32853890
ENCS
15 Language learning experience and mastering the challenges of perceiving speech in noise Kousaie S; Baum S; Phillips NA; Gracco V; Titone D; Chen JK; Chai XJ; Klein D; 31284145
PSYCHOLOGY
16 Localization Accuracy of Distributed Inverse Solutions for Electric and Magnetic Source Imaging of Interictal Epileptic Discharges in Patients with Focal Epilepsy. Heers M, Chowdhury RA, Hedrich T, Dubeau F, Hall JA, Lina JM, Grova C, Kobayashi E 25609211
PERFORM

 

Title:Cognitive-behavioural therapy for insomnia mechanism of action: Exploring the homeostatic K-complex involvement
Authors:Sforza MMorin CMDang-Vu TTPomares FBPerrault AAGouin JPBušková JJanku KVgontzas AFernandez-Mendoza JBastien CHRiemann DBaglioni CCarollo GCasoni FZucconi MCastronovo VGalbiati AFerini-Strambi L
Link:https://pubmed.ncbi.nlm.nih.gov/39739397/
DOI:10.1111/jsr.14452
Publication:Journal of sleep research
Keywords:K‐complexcognitive‐behavioural therapy for insomnia (CBT‐I)homeostasisinsomniasleepslow waves
PMID:39739397 Category: Date Added:2025-01-01
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.





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