Zobrazeno 1 - 10
of 2 207
pro vyhledávání: '"Sleep eeg"'
Autor:
Jun Wang, Chenguang Jiang, Zhenglin Guo, Sinéad Chapman, Nataliia Kozhemiako, Dimitrios Mylonas, Yi Su, Lin Zhou, Lu Shen, the GRINS Consortium, Shengying Qin, Michael Murphy, Shuping Tan, Dara S. Manoach, Robert Stickgold, Hailiang Huang, Zhenhe Zhou, Shaun M. Purcell, Meihua Hall, Steven E. Hyman, Jen Q. Pan
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Objective and quantifiable markers are crucial for developing novel therapeutics for mental disorders by 1) stratifying clinically similar patients with different underlying neurobiological deficits and 2) objectively tracking dis
Externí odkaz:
https://doaj.org/article/1c8a4623f61849f195c5f621c2c0a0aa
Autor:
Miyata S, Iwamoto K, Okada I, Fujimoto A, Kogo Y, Mori D, Amano M, Matsuyama N, Nishida K, Ando M, Taoka T, Naganawa S, Ozaki N
Publikováno v:
Nature and Science of Sleep, Vol Volume 16, Pp 291-303 (2024)
Seiko Miyata,1,* Kunihiro Iwamoto,1,* Ippei Okada,1,* Akihiro Fujimoto,2 Yuki Kogo,2 Daisuke Mori,1,3,4 Manabu Amano,5 Nao Matsuyama,5 Kazuki Nishida,5 Masahiko Ando,5 Toshiaki Taoka,6 Shinji Naganawa,7 Norio Ozaki1,4 1Department of Psych
Externí odkaz:
https://doaj.org/article/b74d64a759aa44f5924d59923046d052
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionNight-shift workers often face various health issues stemming from circadian rhythm shift and the consequent poor sleep quality. We aimed to study nurses working night shifts, evaluate the electroencephalogram (EEG) pattern of daytime sle
Externí odkaz:
https://doaj.org/article/63a5da176b3d47e9bcace28dcf5f83f9
Publikováno v:
Nature and Science of Sleep, Vol Volume 15, Pp 823-838 (2023)
Tianxin Mao,1,2 Ya Chai,3 Bowen Guo,1 Peng Quan,3,4 Hengyi Rao1,3,5 1Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and M
Externí odkaz:
https://doaj.org/article/b8f959a6719a41878cc8083c1b612935
Akademický článek
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Autor:
Po-Liang Yeh, Murat Ozgoren, Hsiao-Ling Chen, Yun-Hong Chiang, Jie-Ling Lee, Yi-Chen Chiang, Rayleigh Ping-Ying Chiang
Publikováno v:
Diagnostics, Vol 14, Iss 6, p 580 (2024)
This research paper outlines a method for automatically classifying wakefulness and deep sleep stage (N3) based on the American Academy of Sleep Medicine (AASM) standards. The study employed a single-channel EEG signal, leveraging the Wigner–Ville
Externí odkaz:
https://doaj.org/article/f9e3d4ddf1464d3b96196aebcbb23046
Autor:
Péter P. Ujma, Róbert Bódizs, Martin Dresler, Péter Simor, Shaun Purcell, Katie L. Stone, Kristine Yaffe, Susan Redline
Publikováno v:
NeuroImage, Vol 279, Iss , Pp 120319- (2023)
Human cognitive performance is a key function whose biological foundations have been partially revealed by genetic and brain imaging studies. The sleep electroencephalogram (EEG) is tightly linked to structural and functional features of the central
Externí odkaz:
https://doaj.org/article/45448acd1c384ec9b07362b2e3de1755
Autor:
Maria E. Dimitriades, Andjela Markovic, Silvano R. Gefferie, Ashura Buckley, David I. Driver, Judith L. Rapoport, Margherita Nosadini, Kevin Rostasy, Stefano Sartori, Agnese Suppiej, Salome Kurth, Maurizia Franscini, Susanne Walitza, Reto Huber, Leila Tarokh, Bigna K. Bölsterli, Miriam Gerstenberg
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
BackgroundSleep disturbances are intertwined with the progression and pathophysiology of psychotic symptoms in schizophrenia. Reductions in sleep spindles, a major electrophysiological oscillation during non-rapid eye movement sleep, have been identi
Externí odkaz:
https://doaj.org/article/5f79ee1738b34155827592693f78ed07
Publikováno v:
Nature and Science of Sleep, Vol Volume 14, Pp 109-120 (2022)
Torsten Eggert, Hans Dorn, Heidi Danker-Hopfe Charité – Universitätsmedizin Berlin, Competence Centre of Sleep Medicine, Berlin, GermanyCorrespondence: Heidi Danker-Hopfe, Email heidi.danker-hopfe@charite.dePurpose: The quantitative sleep EEG has
Externí odkaz:
https://doaj.org/article/ddcad9950cab437db7c2dfd38b9fc51a
Publikováno v:
IEEE Access, Vol 10, Pp 71299-71310 (2022)
Sleep EEG signals analysis is an approach that helps researchers identify and understand the different phenomena concealed within sleep EEG data. This research introduces a time-frequency analysis approach to untangle the parameters of the sleep stag
Externí odkaz:
https://doaj.org/article/ac923e4121ad4403838849ac2839b2bd