Keyword search (4,163 papers available)

"Spectrum" Keyword-tagged Publications:

Title Authors PubMed ID
1 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
2 Leveraging Personal Technologies in the Treatment of Schizophrenia Spectrum Disorders: Scoping Review D' Arcey J; Torous J; Asuncion TR; Tackaberry-Giddens L; Zahid A; Ishak M; Foussias G; Kidd S; 39348196
PSYCHOLOGY
3 Assessment of Autism Spectrum Disorders in Children with Visual Impairment and Blindness: A Scoping Review Moire Stevenson 38546815
PSYCHOLOGY
4 Ecological strategies of (pl)ants: Towards a world-wide worker economic spectrum for ants Gibb H; Bishop TR; Leahy L; Parr CL; Lessard JP; Sanders NJ; Shik JZ; Ibarra-Isassi J; Narendra A; Dunn RR; Wright IJ; 37056633
BIOLOGY
5 Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders Lahmiri S; Tadj C; Gargour C; 36010830
ENCS
6 In utero Exposure to Valproic-Acid Alters Circadian Organisation and Clock-Gene Expression: Implications for Autism Spectrum Disorders Ferraro S; de Zavalia N; Belforte N; Amir S; 34650409
CSBN
7 Naïve Theories of Biology, Physics, and Psychology in Children with ASD. Poulin-Dubois D, Dutemple E, Burnside K 33385282
PSYCHOLOGY
8 Diagonalization of the finite Hilbert transform on two adjacent intervals: the Riemann-Hilbert approach Bertola M; Blackstone E; Katsevich A; Tovbis A; 32684912
MATHSTATS
9 Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study. Bénar CG, Grova C, Jirsa VK, Lina JM 31292816
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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