| 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: | The neurophysiology of closed-loop auditory stimulation in sleep: A magnetoencephalography study | ||||
| Authors: | Jourde HR, Merlo R, Brooks M, Rowe M, Coffey EBJ | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/37675803/ | ||||
| DOI: | 10.1111/ejn.16132 | ||||
| Publication: | The European journal of neuroscience | ||||
| Keywords: | auditory-evoked response; closed-loop stimulation; electroencephalography (EEG); magnetoencephalography (MEG); sleep; sleep spindles; sleep stages; slow oscillations; | ||||
| PMID: | 37675803 | Category: | Date Added: | 2023-09-07 | |
| Dept Affiliation: | CONCORDIA | ||||
Description: |
Closed-loop auditory stimulation (CLAS) is a brain modulation technique in which sounds are timed to enhance or disrupt endogenous neurophysiological events. CLAS of slow oscillation up-states in sleep is becoming a popular tool to study and enhance sleep's functions, as it increases slow oscillations, evokes sleep spindles and enhances memory consolidation of certain tasks. However, few studies have examined the specific neurophysiological mechanisms involved in CLAS, in part because of practical limitations to available tools. To evaluate evidence for possible models of how sound stimulation during brain up-states alters brain activity, we simultaneously recorded electro- and magnetoencephalography in human participants who received auditory stimulation across sleep stages. We conducted a series of analyses that test different models of pathways through which CLAS of slow oscillations may affect widespread neural activity that have been suggested in literature, using spatial information, timing and phase relationships in the source-localized magnetoencephalography data. The results suggest that auditory information reaches ventral frontal lobe areas via non-lemniscal pathways. From there, a slow oscillation is created and propagated. We demonstrate that while the state of excitability of tissue in auditory cortex and frontal ventral regions shows some synchrony with the electroencephalography (EEG)-recorded up-states that are commonly used for CLAS, it is the state of ventral frontal regions that is most critical for slow oscillation generation. Our findings advance models of how CLAS leads to enhancement of slow oscillations, sleep spindles and associated cognitive benefits and offer insight into how the effectiveness of brain stimulation techniques can be improved. |



