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 TPeter-Derex LHo ASchiller KWang YAbdallah CDelaire EJaber KTravnicek VGrova CFrauscher B
Link:https://pubmed.ncbi.nlm.nih.gov/40394955/
DOI:10.1093/sleep/zsaf133
Publication:Sleep
Keywords:ConnectivityMicrostateREMSpectrumTonic REMphasic 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.

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.





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