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PubMed Publications| Keyword search (4,164 papers available) |  |
"Biomarker" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | ADPv2: A hierarchical histological tissue type-annotated dataset for potential biomarker discovery of colorectal disease | Yang Z; Li K; Ramandi SG; Brassard P; Khellaf A; Trinh VQ; Zhang J; Chen L; Rowsell C; Varma S; Plataniotis K; Hosseini MS; | 41658283 ENCS |
| 2 | 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 |
| 3 | Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics | Abicumaran Uthamacumaran | 40848317 PSYCHOLOGY |
| 4 | 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 |
| 5 | Exosome Innovations in Ophthalmology and Sjögren s Syndrome | Wu KY; Dave A; Nirwal GK; Giunta M; Nguyen VDH; Tran SD; | 40360847 CONCORDIA |
| 6 | 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 |
| 7 | A multimodal neuroimaging study of youth at risk for substance use disorders: Functional magnetic resonance imaging and [18F]fallypride positron emission tomography | Nikolic M; Cox SML; Jaworska N; Castellanos-Ryan N; Dagher A; Vitaro F; Brendgen M; Parent S; Boivin M; Côté S; Tremblay RE; Séguin JR; Leyton M; | 39725679 CSBN |
| 8 | 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 |
| 9 | 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 |
| 10 | New metabolic signature for Chagas disease reveals sex steroid perturbation in humans and mice | Golizeh M; Nam J; Chatelain E; Jackson Y; Ohlund LB; Rasoolizadeh A; Camargo FV; Mahrouche L; Furtos A; Sleno L; Ndao M; | 36590505 CHEMBIOCHEM |
| 11 | Defective GaAs nanoribbon-based biosensor for lung cancer biomarkers: a DFT study | Tarun T; Singh P; Kaur H; Walia GK; Randhawa DKK; Choudhary BC; | 34459994 ENCS |
| 12 | 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 |
| 13 | Gait variability across neurodegenerative and cognitive disorders: Results from the Canadian Consortium of Neurodegeneration in Aging (CCNA) and the Gait and Brain Study. | Pieruccini-Faria F, Black SE, Masellis M, Smith EE, Almeida QJ, Li KZH, Bherer L, Camicioli R, Montero-Odasso M | 33590967 PSYCHOLOGY |
| 14 | Methodological and clinical challenges associated with biomarkers for psychiatric disease: A scoping review. | Kirkpatrick RH; Munoz DP; Khalid-Khan S; Booij L; | 33221025 PSYCHOLOGY |
| 15 | CCCDTD5 recommendations on early non cognitive markers of dementia: A Canadian consensus | Montero-Odasso M; Pieruccini-Faria F; Ismail Z; Li K; Lim A; Phillips N; Kamkar N; Sarquis-Adamson Y; Speechley M; Theou O; Verghese J; Wallace L; Camicioli R; | 33094146 CRDH |
| 16 | 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 |
| 17 | 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 |
| 18 | Parental Nutrition Knowledge Rather Than Nutrition Label Use Is Associated With Adiposity in Children. | Kakinami L, Houle-Johnson S, McGrath JJ | 27373860 PERFORM |
| 19 | Brain perfusion during rapid-eye-movement sleep successfully identifies amnestic mild cognitive impairment. | Brayet P, Petit D, Baril AA, Gosselin N, Gagnon JF, Soucy JP, Gauthier S, Kergoat MJ, Carrier J, Rouleau I, Montplaisir J | 28522082 PERFORM |
| 20 | 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 |
| 21 | 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 |
| 22 | 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 TT, Hatch B, Salimi A, Mograss M, Boucetta S, O', Byrne J, Brandewinder M, Berthomier C, Gouin JP | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/29157588/ | ||||
| DOI: | 10.1016/j.sleep.2017.08.012 | ||||
| Publication: | Sleep medicine | ||||
| Keywords: | Biomarkers; Electroencephalography; Insomnia; Neural oscillations; Sleep 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. |
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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. |
