| Keyword search (4,163 papers available) | ![]() |
"Frauscher B" Authored 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 | Personalized biomarkers of multiscale functional alterations in temporal lobe epilepsy | Xie K; Sahlas E; Ngo A; Chen J; Arafat T; Royer J; Zhou Y; Rodríguez-Cruces R; Dascal A; Caldairou B; Fadaie F; Barnett A; Audrain S; Larivière S; Caciagli L; Pana R; Weil AG; Grova C; Frauscher B; Schrader DV; Zhang Z; Concha L; Bernasconi A; Bernasconi N; Bernhardt BC; | 41258102 SOH |
| 3 | Visual Features in Stereo-Electroencephalography to Predict Surgical Outcome: A Multicenter Study | Abdallah C; Thomas J; Aron O; Avigdor T; Jaber K; Doležalová I; Mansilla D; Nevalainen P; Parikh P; Singh J; Beniczky S; Kahane P; Minotti L; Chabardes S; Colnat-Coulbois S; Maillard L; Hall J; Dubeau F; Gotman J; Grova C; Frauscher B; | 40519108 SOH |
| 4 | Spectral and network investigation reveals distinct power and connectivity patterns between phasic and tonic REM sleep | Avigdor T; Peter-Derex L; Ho A; Schiller K; Wang Y; Abdallah C; Delaire E; Jaber K; Travnicek V; Grova C; Frauscher B; | 40394955 SOH |
| 5 | The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies | Avigdor T; Ren G; Abdallah C; Dubeau F; Grova C; Frauscher B; | 40126936 PERFORM |
| 6 | Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology | Hrtonova V; Nejedly P; Travnicek V; Cimbalnik J; Matouskova B; Pail M; Peter-Derex L; Grova C; Gotman J; Halamek J; Jurak P; Brazdil M; Klimes P; Frauscher B; | 39608298 SOH |
| 7 | NREM sleep brain networks modulate cognitive recovery from sleep deprivation | Lee K; Wang Y; Cross NE; Jegou A; Razavipour F; Pomares FB; Perrault AA; Nguyen A; Aydin Ü; Uji M; Abdallah C; Anticevic A; Frauscher B; Benali H; Dang-Vu TT; Grova C; | 39005401 PERFORM |
| 8 | EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy | Afnan J; Cai Z; Lina JM; Abdallah C; Delaire E; Avigdor T; Ros V; Hedrich T; von Ellenrieder N; Kobayashi E; Frauscher B; Gotman J; Grova C; | 38994740 SOH |
| 9 | A spatial perturbation framework to validate implantation of the epileptogenic zone | Jaber K; Avigdor T; Mansilla D; Ho A; Thomas J; Abdallah C; Chabardes S; Hall J; Minotti L; Kahane P; Grova C; Gotman J; Frauscher B; | 38897997 SOH |
| 10 | Systematic review of seizure-onset patterns in stereo-electroencephalography: Current state and future directions | Abdallah C; Mansilla D; Minato E; Grova C; Beniczky S; Frauscher B; | 38733701 PERFORM |
| 11 | Consistency of electrical source imaging in presurgical evaluation of epilepsy across different vigilance states | Avigdor T; Abdallah C; Afnan J; Cai Z; Rammal S; Grova C; Frauscher B; | 38217279 PERFORM |
| 12 | Targeted density electrode placement achieves high concordance with traditional high-density EEG for electrical source imaging in epilepsy | Horrillo-Maysonnial A; Avigdor T; Abdallah C; Mansilla D; Thomas J; von Ellenrieder N; Royer J; Bernhardt B; Grova C; Gotman J; Frauscher B; | 37704552 PERFORM |
| 13 | Validating MEG source imaging of resting state oscillatory patterns with an intracranial EEG atlas | Afnan J; von Ellenrieder N; Lina JM; Pellegrino G; Arcara G; Cai Z; Hedrich T; Abdallah C; Khajehpour H; Frauscher B; Gotman J; Grova C; | 37149236 PERFORM |
| 14 | 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 |
| 15 | Clinical Yield of Electromagnetic Source Imaging and Hemodynamic Responses in Epilepsy: Validation With Intracerebral Data | Abdallah C; Hedrich T; Koupparis A; Afnan J; Hall JA; Gotman J; Dubeau F; von Ellenrieder N; Frauscher B; Kobayashi E; Grova C; | 35473762 PERFORM |
| 16 | Fast oscillations >40 Hz localize the epileptogenic zone: An electrical source imaging study using high-density electroencephalography. | Avigdor T, Abdallah C, von Ellenrieder N, Hedrich T, Rubino A, Lo Russo G, Bernhardt B, Nobili L, Grova C, Frauscher B | 33450578 PERFORM |
| Title: | Spectral and network investigation reveals distinct power and connectivity patterns between phasic and tonic REM sleep | ||||
| Authors: | Avigdor T, Peter-Derex L, Ho A, Schiller K, Wang Y, Abdallah C, Delaire E, Jaber K, Travnicek V, Grova C, Frauscher B | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/40394955/ | ||||
| DOI: | 10.1093/sleep/zsaf133 | ||||
| Publication: | Sleep | ||||
| Keywords: | Connectivity; Microstate; REM; Spectrum; Tonic REM; phasic REM; | ||||
| PMID: | 40394955 | Category: | Date Added: | 2025-05-21 | |
| Dept Affiliation: |
SOH
1 Analytical Neurophysiology Lab, McGill University, Montreal, Quebec, Canada. 2 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Quebec, Canada. 3 Center for Sleep Medicine, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, France; Lyon Neuroscience Research Center, PAM Team, INSERM U1028 / CNRS UMR 5292 / Lyon 1 University, Lyon, France. 4 Analytical Neurophysiological Lab, Department of Neurology, Duke University, Durham, North Carolina, USA. 5 Multimodal Functional Imaging Lab, Department of Physics, PERFORM Center / School of Health, Concordia University, Montreal, Quebec, Canada. 6 Department of Biomedical Engineering. Duke Pratt School of Engineering, Durham, North Carolina, USA. 7 Institute of Scientific Instruments, Czech Academy of Sciences, Brno, Czech Republic. 8 International Clinical Research Center, St Anne's University Hospital, Brno, Czech Republic. |
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Description: |
Although rapid eye movement (REM) sleep is often thought of as a singular state, it consists of two substates, phasic and tonic REM, defined by the presence (respectively absence) of bursts of rapid eye movements. These two substates have distinct EEG signatures and functional properties. However, whether they exhibit regional specificities remains unknown. Using intracranial EEG recordings from 31 patients, we analyzed expert labeled segments from tonic and phasic REM and contrasted them with wakefulness segments. We assessed the spectral and connectivity content of these segments using Welch's method to estimate power spectral density and the phase locking value to assess functional connectivity. Overall, we found a widespread power gradient between low and high frequencies (p < 0.05, Cohen's d = 0.17± 0.20), with tonic REM being dominated by lower frequencies (p < 0.01, d = 0.18 ± 0.08), and phasic REM by higher frequencies (p < 0.01, d = 0.18 ± 0.19). However, some regions such as the occipito-temporal areas as well as medial frontal regions exhibit opposite trends. Connectivity was overall higher in all bands except in the low and high ripple frequency band in most networks during tonic REM (p < 0.01, d = 0.08 ± 0.09) compared to phasic REM. Yet, functional connections involving the visual network were always stronger during phasic REM when compared to tonic REM. These findings highlight the spatiotemporal heterogeneity of REM sleep which is consistent with the concept of focal sleep in humans. |



