Keyword search (4,164 papers available)

"Insomnia" Keyword-tagged Publications:

Title Authors PubMed ID
1 Perceptions et attitudes des personnes âgées souffrant d insomnie par rapport aux médicaments et aux produits de santé naturels Nguyen PV; Dang-Vu T; Forest G; Saidi L; Desmarais P; 40968485
CONCORDIA
2 Relationship Between Lumbar Multifidus Morphometry and Pain/Disability in Individuals With Chronic Nonspecific Low Back Pain After Considering Demographics, Fear-Avoidance Beliefs, Insomnia, and Spinal Degenerative Changes Pinto SM; Cheung JPY; Samartzis D; Karppinen J; Zheng YP; Pang MYC; Fortin M; Wong AYL; 40376565
SOH
3 Efficacy of cognitive behavioral therapy for insomnia and lemborexant medication for different subtypes of chronic insomnia: study protocol for a randomized controlled trial Chen SJ; Ivers H; Dang-Vu TT; Shapiro CM; Carney CE; Robillard R; Morin CM; 40346496
HKAP
4 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
5 Effect of age on hypnotics' efficacy and safety in insomnia: A systematic review and meta-analysis Patrick Viet-Quoc N; Thien Thanh DV; Philippe L; Sebastien C; Lidia S; Philippe D; 39603114
CONCORDIA
6 Trends in nighttime insomnia symptoms in Canada from 2007 to 2021 Chaput JP; Morin CM; Robillard R; Carney CE; Dang-Vu TT; Davidson JR; Tomkinson GR; Lang JJ; 39556998
HKAP
7 Delphi consensus recommendations for the management of chronic insomnia in Canada Morin CM; Khullar A; Robillard R; Desautels A; Mak MSB; Dang-Vu TT; Chow W; Habert J; Lessard S; Alima L; Ayas NT; MacFarlane J; Kendzerska T; Lee EK; Carney CE; 39481275
HKAP
8 Prevalence of insomnia and use of sleep aids among adults in Canada Morin CM; Vézina-Im LA; Chen SJ; Ivers H; Carney CE; Chaput JP; Dang-Vu TT; Davidson JR; Belleville G; Lorrain D; Horn O; Robillard R; 39369578
HKAP
9 Predicting response to stepped-care cognitive behavioral therapy for insomnia using pre-treatment heart rate variability in cancer patients Garneau J; Savard J; Dang-Vu TT; Gouin JP; 38991424
HKAP
10 Sleep spindles predict stress-related increases in sleep disturbances Dang-Vu TT; Salimi A; Boucetta S; Wenzel K; O' Byrne J; Brandewinder M; Berthomier C; Gouin JP; 25713529
PERFORM
11 High-frequency heart rate variability during worry predicts stress-related increases in sleep disturbances Gouin JP; Wenzel K; Boucetta S; O' Byrne J; Salimi A; Dang-Vu TT; 25819418
PERFORM
12 Efficacy of Lemborexant in Adults ≥ 65 Years of Age with Insomnia Disorder Arnold V; Ancoli-Israel S; Dang-Vu TT; Mishima K; Pinner K; Malhotra M; Moline M; 38748321
HKAP
13 Methodological approach to sleep state misperception in insomnia disorder: Comparison between multiple nights of actigraphy recordings and a single night of polysomnography recording Maltezos A; Perrault AA; Walsh NA; Phillips EM; Gong K; Tarelli L; Smith D; Cross NE; Pomares FB; Gouin JP; Dang-Vu TT; 38325157
HKAP
14 Economic burden of insomnia symptoms in Canada Chaput JP; Janssen I; Sampasa-Kanyinga H; Carney CE; Dang-Vu TT; Davidson JR; Robillard R; Morin CM; 36319579
PERFORM
15 Insomnia disorder increases the risk of subjective memory decline in middle-aged and older adults: a longitudinal analysis of the Canadian Longitudinal Study on Aging Zhao JL; Cross N; Yao CW; Carrier J; Postuma RB; Gosselin N; Kakinami L; Dang-Vu TT; 35877203
PERFORM
16 Sleep disorders in patients with a neurocognitive disorder C Moderie 34916075
PERFORM
17 Insomnia symptom subtypes and manifestations of prodromal neurodegeneration: a population-based study in the CLSA Yao CW; Pelletier A; Fereshtehnejad SM; Cross N; Dang-Vu T; Postuma RB; 34314348
PERFORM
18 More than a quarter century of the most prescribed sleeping pill: Systematic review of zolpidem use by older adults. Machado FV, Louzada LL, Cross NE, Camargos EF, Dang-Vu TT, Nóbrega OT 32360985
PERFORM
19 Inactograms and objective sleep measures as means to capture subjective sleep problems in patients with a bipolar disorder. Lavin-Gonzalez P, Bourguignon C, Crescenzi O, Beaulieu S, Storch KF, Linnaranta O 32232937
PSYCHOLOGY
20 Failure of fear extinction in insomnia: An evolutionary perspective. Perogamvros L, Castelnovo A, Samson D, Dang-Vu TT 32143023
PERFORM
21 High-Frequency Heart Rate Variability Reactivity and Trait Worry Interact to Predict the Development of Sleep Disturbances in Response to a Naturalistic Stressor. MacNeil S, Deschênes SS, Caldwell W, Brouillard M, Dang-Vu TT, Gouin JP 28527014
PERFORM
22 Sleep spindles may predict response to cognitive-behavioral therapy for chronic insomnia Dang-Vu TT; Hatch B; Salimi A; Mograss M; Boucetta S; O' Byrne J; Brandewinder M; Berthomier C; Gouin JP; 29157588
PERFORM
23 Cortical Thinning and Altered Cortico-Cortical Structural Covariance of the Default Mode Network in Patients with Persistent Insomnia Symptoms. Suh S, Kim H, Dang-Vu TT, Joo E, Shin C 26414892
PERFORM
24 Association between insomnia disorder and cognitive function in middle-aged and older adults: a cross-sectional analysis of the Canadian Longitudinal Study on Aging Cross NE; Carrier J; Postuma RB; Gosselin N; Kakinami L; Thompson C; Chouchou F; Dang-Vu TT; 31089710
PERFORM

 

Title:Sleep spindles may predict response to cognitive-behavioral therapy for chronic insomnia
Authors:Dang-Vu TTHatch BSalimi AMograss MBoucetta SO'Byrne JBrandewinder MBerthomier CGouin JP
Link:https://pubmed.ncbi.nlm.nih.gov/29157588/
DOI:10.1016/j.sleep.2017.08.012
Publication:Sleep medicine
Keywords:BiomarkersElectroencephalographyInsomniaNeural oscillationsSleep spindles
PMID:29157588 Category:Sleep Med Date Added:2019-05-31
Dept Affiliation: PERFORM
1 Department of Exercise Science, Concordia University, Montréal, QC, Canada; Department of Psychology, Concordia University, Montréal, QC, Canada; Center for Studies in Behavioral Neurobiology, Concordia University, Montréal, QC, Canada; PERFORM Center, Concordia University, Montréal, QC, Canada; Center for Clinical Research in Health, Concordia University, Montréal, QC, Canada; Centre de Recherches de l'Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada; Department of Neurosciences, Université de Montréal, Montréal, QC, Canada. Electronic address: tt.dangvu@concordia.ca.
2 Department of Psychology, Concordia University, Montréal, QC, Canada; Center for Studies in Behavioral Neurobiology, Concordia University, Montréal, QC, Canada; PERFORM Center, Concordia University, Montréal, QC, Canada.
3 Department of Exercise Science, Concordia University, Montréal, QC, Canada; Center for Studies in Behavioral Neurobiology, Concordia University, Montréal, QC, Canada; PERFORM Center, Concordia University, Montréal, QC, Canada; Centre de Recherches de l'Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada.
4 Department of Exercise Science, Concordia University, Montréal, QC, Canada; Department of Psychology, Concordia University, Montréal, QC, Canada; PERFORM Center, Concordia University, Montréal, QC, Canada; Centre de Recherches de l'Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada.
5 Physip SA, Paris, France.
6 Department of Psychology, Concordia University, Montréal, QC, Canada; PERFORM Center, Concordia University, Montréal, QC, Canada; Center for Clinical Research in Health, Concordia University, Montréal, QC, Canada.

Description:

Background: While cognitive-behavioral therapy for insomnia constitutes the first-line treatment for chronic insomnia, only few reports have investigated how sleep architecture relates to response to this treatment. In this pilot study, we aimed to determine whether pre-treatment sleep spindle density predicts treatment response to cognitive-behavioral therapy for insomnia.

Methods: Twenty-four participants with chronic primary insomnia participated in a 6-week cognitive-behavioral therapy for insomnia performed in groups of 4-6 participants. Treatment response was assessed using the Pittsburgh Sleep Quality Index and the Insomnia Severity Index measured at pre- and post-treatment, and at 3- and 12-months' follow-up assessments. Secondary outcome measures were extracted from sleep diaries over 7 days and overnight polysomnography, obtained at pre- and post-treatment. Spindle density during stage N2-N3 sleep was extracted from polysomnography at pre-treatment. Hierarchical linear modeling analysis assessed whether sleep spindle density predicted response to cognitive-behavioral therapy.

Results: After adjusting for age, sex, and education level, lower spindle density at pre-treatment predicted poorer response over the 12-month follow-up, as reflected by a smaller reduction in Pittsburgh Sleep Quality Index over time. Reduced spindle density also predicted lower improvements in sleep diary sleep efficiency and wake after sleep onset immediately after treatment. There were no significant associations between spindle density and changes in the Insomnia Severity Index or polysomnography variables over time.

Conclusion: These preliminary results suggest that inter-individual differences in sleep spindle density in insomnia may represent an endogenous biomarker predicting responsiveness to cognitive-behavioral therapy. Insomnia with altered spindle activity might constitute an insomnia subtype characterized by a neurophysiological vulnerability to sleep disruption associated with impaired responsiveness to cognitive-behavioral therapy.





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