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http://dx.doi.org/10.1016/j.sleep.2025.106753 | DOI Listing |
Psychol Med
September 2025
Department of Psychology, The University of Hong Kong, Hong Kong SAR, China.
Background: Insomnia disorder, characterized by chronic sleep disruption, often co-occurs with maladaptive emotional memory processing. However, much remains unknown regarding the evolution of emotional memories and their neural representations over time among individuals with insomnia disorder.
Method: We examined the electroencephalographic (EEG) activities during emotional memory encoding, post-encoding sleep, and multiple retrieval phases - including immediate post-encoding, post-sleep, and a 7-day delayed retrieval - among 34 participants with insomnia disorder and 35 healthy control participants.
Sleep Med
August 2025
Department of Neurology, Affiliated ZhongDa Hospital, Southeast University, Nanjing, China. Electronic address:
iScience
April 2021
Department of Psychology, University of Rome "Sapienza", Via dei Marsi, 78, Rome 00185, Italy.
Patients with Alzheimer's disease (AD) undergo a slowing of waking electroencephalographic (EEG) rhythms since prodromal stages, which could be ascribed to poor sleep quality. We examined the relationship between wake and sleep alterations by assessing EEG activity during sleep and (pre-sleep/post-sleep) wakefulness in AD, mild cognitive impairment (MCI) and healthy controls. AD and MCI show high sleep latency and less slow-wave sleep.
View Article and Find Full Text PDFClin Neurophysiol
September 2019
Department of Physiology and Pharmacology "Erspamer", Sapienza University of Rome, Rome, Italy; Hospital San Raffaele Cassino, Cassino, FR, Italy. Electronic address:
Objective: It has been reported that sleep deprivation affects the neurophysiological mechanisms underpinning the vigilance. Here, we tested the following hypotheses in the PharmaCog project (www.pharmacog.
View Article and Find Full Text PDFHum Brain Mapp
November 2017
Brain Connectivity Laboratory, IRCCS San Raffaele Pisana, Rome, Italy.
Sleep onset is characterized by a specific and orchestrated pattern of frequency and topographical EEG changes. Conventional power analyses of electroencephalographic (EEG) and computational assessments of network dynamics have described an earlier synchronization of the centrofrontal areas rhythms and a spread of synchronizing signals from associative prefrontal to posterior areas. Here, we assess how "small world" characteristics of the brain networks, as reflected in the EEG rhythms, are modified in the wakefulness-sleep transition comparing the pre- and post-sleep onset epochs.
View Article and Find Full Text PDF