Keyword search (4,163 papers available)

"Biomarkers" Keyword-tagged Publications:

Title Authors PubMed ID
1 The PREVENT-AD cohort: Accelerating Alzheimer s disease research and treatment in Canada and beyond Villeneuve S; Poirier J; Breitner JCS; Tremblay-Mercier J; Remz J; Raoult JM; Yakoub Y; Gallego-Rudolf J; Qiu T; Fajardo Valdez A; Mohammediyan B; Javanray M; Metz A; Sanami S; Ourry V; Wearn A; Pastor-Bernier A; Edde M; Gonneaud J; Strikwerda-Brown C; Tardif CL; Gauthier CJ; Descoteaux M; Dadar M; Vachon-Presseau É; Baril AA; Ducharme S; Montembeault M; Geddes MR; Soucy JP; Rajah N; Laforce R; Bocti C; Davatzikos C; Bellec L; Rosa-Neto P; Baillet S; Evans AC; Collins DL; Chakravarty MM; Blennow K; Zetterbe 41020412
SOH
2 Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics Abicumaran Uthamacumaran 40848317
PSYCHOLOGY
3 The PREVENT-AD cohort: accelerating Alzheimer s disease research and treatment in Canada and beyond Villeneuve S; Poirier J; Breitner JCS; Tremblay-Mercier J; Remz J; Raoult JM; Yakoub Y; Gallego-Rudolf J; Qiu T; Valdez AF; Mohammediyan B; Javanray M; Metz A; Sanami S; Ourry V; Wearn A; Pastor-Bernier A; Edde M; Gonneaud J; Strikwerda-Brown C; Tardif CL; Gauthier CJ; Descoteaux M; Dadar M; Vachon-Presseau É; Baril AA; Ducharme S; Montembeault M; Geddes MR; Soucy JP; Rajah N; Laforce R; Bocti C; Davatzikos C; Bellec L; Rosa-Neto P; Baillet S; Evans AC; Collins DL; Chakravarty MM; Blennow K; Zetterberg H; S 40778177
PSYCHOLOGY
4 Exosome Innovations in Ophthalmology and Sjögren s Syndrome Wu KY; Dave A; Nirwal GK; Giunta M; Nguyen VDH; Tran SD; 40360847
CONCORDIA
5 Sleep spindles and slow oscillations predict cognition and biomarkers of neurodegeneration in mild to moderate Alzheimer's disease Páez A; Gillman SO; Dogaheh SB; Carnes A; Dakterzada F; Barbé F; Dang-Vu TT; Ripoll GP; 39878233
CONCORDIA
6 Isotopic and molecular analyses of n-alkanes in a temporal study of coastal sediment contributions to organic carbon degradation induced by algal bloom and terrestrial runoff Mirzaei Y; Douglas PMJ; Gélinas Y; 39700996
CHEMBIOCHEM
7 Alzheimer's early detection in post-acute COVID-19 syndrome: a systematic review and expert consensus on preclinical assessments Vandersteen C; Plonka A; Manera V; Sawchuk K; Lafontaine C; Galery K; Rouaud O; Bengaied N; Launay C; Guérin O; Robert P; Allali G; Beauchet O; Gros A; 37416323
CONCORDIA
8 Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection Safiabadi Tali SH; LeBlanc JJ; Sadiq Z; Oyewunmi OD; Camargo C; Nikpour B; Armanfard N; Sagan SM; Jahanshahi-Anbuhi S; 33980687
IMAGING
9 Evidence of a Relation Between Hippocampal Volume, White Matter Hyperintensities, and Cognition in Subjective Cognitive Decline and Mild Cognitive Impairment Caillaud M; Hudon C; Boller B; Brambati S; Duchesne S; Lorrain D; Gagnon JF; Maltezos S; Mellah S; Phillips N; Belleville S; 31758692
CRDH
10 The Comprehensive Assessment of Neurodegeneration and Dementia: Canadian Cohort Study. Chertkow H, Borrie M, Whitehead V, Black SE, Feldman HH, Gauthier S, Hogan DB, Masellis M, McGilton K, Rockwood K, Tierney MC, Andrew M, Hsiung GR, Camicioli R, Smith EE, Fogarty J, Lindsay J, Best S, Evans A, Das S, Mohaddes Z, Pilon R, Poirier J, Phillips NA, MacNamara E, Dixon RA, Duchesne S, MacKenzie I, Rylett RJ 31309917
PSYCHOLOGY
11 Parental Nutrition Knowledge Rather Than Nutrition Label Use Is Associated With Adiposity in Children. Kakinami L, Houle-Johnson S, McGrath JJ 27373860
PERFORM
12 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
13 Gross Motor Skills Training Leads to Increased Brain-Derived Neurotrophic Factor Levels in Healthy Older Adults: A Pilot Study. Grégoire CA, Berryman N, St-Onge F, Vu TTM, Bosquet L, Arbour N, Bherer L 31031639
PERFORM
14 Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry. Khalili-Mahani N, Rombouts SA, van Osch MJ, Duff EP, Carbonell F, Nickerson LD, Becerra L, Dahan A, Evans AC, Soucy JP, Wise R, Zijdenbos AP, van Gerven JM 28145075
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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