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PubMed Publications| Keyword search (4,163 papers available) |  |
"oscillation" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | How vigilance states influence source imaging of physiological brain oscillations: evidence from intracranial EEG | Wei X; Afnan J; Avigdor T; von Ellenrieder N; Delaire É; Royer J; Ho A; Minato E; Schiller K; Jaber K; Wang YL; Moye M; Bernhardt BC; Lina JM; Grova C; Frauscher B; | 41687693 SOH |
| 2 | Climate variability is an important driver of water treatability in a shallow reservoir | Spence DS; Painter KJ; Nazemi A; Venkiteswaran JJ; Baulch HM; | 41166973 ENCS |
| 3 | Neurophysiological effects of targeting sleep spindles with closed-loop auditory stimulation | Jourde HR; Sobral M; Beltrame G; Coffey EBJ; | 40626105 PSYCHOLOGY |
| 4 | Effect of chronic benzodiazepine and benzodiazepine receptor agonist use on sleep architecture and brain oscillations in older adults with chronic insomnia | Barbaux L; Perrault AA; Cross NE; Weiner OM; Es-Sounni M; Pomares FB; Tarelli L; McCarthy M; Maltezos A; Smith D; Gong K; O' Byrne J; Yue V; Desrosiers C; Clerc D; Andriamampionona F; Lussier D; Gilbert S; Tannenbaum C; Gouin JP; Dang-Vu TT; | 40570297 CSBN |
| 5 | Phase-Amplitude Coupling of NREM Sleep Oscillations Shows Between-Night Stability and is Related to Overnight Memory Gains | Cross N; O' Byrne J; Weiner OM; Giraud J; Perrault AA; Dang-Vu TT; | 40214027 PERFORM |
| 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 | Challenges and Approaches in the Study of Neural Entrainment | Duecker K; Doelling KB; Breska A; Coffey EBJ; Sivarao DV; Zoefel B; | 39358026 CONCORDIA |
| 8 | The neurophysiology of closed-loop auditory stimulation in sleep: A magnetoencephalography study | Jourde HR; Merlo R; Brooks M; Rowe M; Coffey EBJ; | 37675803 CONCORDIA |
| 9 | Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy | Frauscher B; Bénar CG; Engel JJ; Grova C; Jacobs J; Kahane P; Wiebe S; Zjilmans M; Dubeau F; | 37119580 PERFORM |
| 10 | Slow oscillation-spindle cross-frequency coupling predicts overnight declarative memory consolidation in older adults | Oren M Weiner | 37002805 PERFORM |
| 11 | Sigma oscillations protect or reinstate motor memory depending on their temporal coordination with slow waves | Nicolas J; King BR; Levesque D; Lazzouni L; Coffey EBJ; Swinnen S; Doyon J; Carrier J; Albouy G; | 35726850 PSYCHOLOGY |
| 12 | How cerebral cortex protects itself from interictal spikes: The alpha/beta inhibition mechanism | Pellegrino G; Hedrich T; Sziklas V; Lina JM; Grova C; Kobayashi E; | 34002916 PERFORM |
| 13 | Using Models to (Re-)Design Synthetic Circuits. | McCallum G, Potvin-Trottier L | 33405217 BIOLOGY |
| 14 | Cerebellar Cortex 4-12 Hz Oscillations and Unit Phase Relation in the Awake Rat. | Lévesque M; Gao H; Southward C; Langlois JMP; Léna C; Courtemanche R; | 33240052 HKAP |
| 15 | Brain Rhythms During Sleep and Memory Consolidation: Neurobiological Insights. | Marshall L, Cross N, Binder S, Dang-Vu TT | 31799908 PERFORM |
| 16 | State-Dependent Entrainment of Prefrontal Cortex Local Field Potential Activity Following Patterned Stimulation of the Cerebellar Vermis. | Tremblay SA, Chapman CA, Courtemanche R | 31736718 HKAP |
| 17 | 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 |
| 18 | Cortical reactivations during sleep spindles following declarative learning. | Jegou A, Schabus M, Gosseries O, Dahmen B, Albouy G, Desseilles M, Sterpenich V, Phillips C, Maquet P, Grova C, Dang-Vu TT | 30928690 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. |
