The purpose of this preliminary study was to clarify the association between cortical and subcortical activities during REM and non-REM sleep with overnight improvement of performance on a procedural memory task. Eleven healthy volunteers (M age = 23.8 yr., SD = 3.1) participated in this study which was conducted over two consecutive nights: an adaptation night and the experimental night. They underwent a visual discrimination task before and after the experimental night. A positive correlation was observed between overnight performance improvement on the visual discrimination task and EEG alpha band power during REM sleep, while no significant correlation was observed between the performance and either the amount of Stage REM sleep, REM activity, or other sleep variables. The findings corroborate other studies and suggest that cortical activity during REM sleep contributed to procedural memory consolidation and highlights the importance of measuring quantitative REM sleep components to elucidate the role of physiological sleep on memory consolidation in humans.
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http://dx.doi.org/10.2466/22.24.29.PMS.115.5.337-348 | DOI Listing |
Sleep Med
December 2024
Eisai Inc., 200 Metro Blvd, Nutley, NJ, 07110, USA.
Objective/background: Comorbid insomnia with obstructive sleep apnea (COMISA) is associated with worse daytime function and more medical/psychiatric comorbidities vs either condition alone. COMISA may negatively impact sleep duration and reduce rapid eye movement (REM) sleep, thereby impairing cognition. These post-hoc analyses evaluated the effect of lemborexant (LEM), a dual-orexin-receptor antagonist approved for adults with insomnia, on sleep architecture in participants with COMISA.
View Article and Find Full Text PDFMov Disord
January 2025
Medical Psychology Unit, Department of Medicine, Institute of Neurosciences, University of Barcelona, Barcelona, Spain.
Background: Isolated rapid-eye movement (REM) sleep behavior disorder (iRBD) is characterized by abnormal behaviors in REM sleep and is considered as a prodromal symptom of alpha-synucleinopathies. Resting-state functional magnetic resonance imaging (rsfMRI) studies have unveiled altered functional connectivity (rsFC) in patients with iRBD. However, the associations between intra- and inter-network rsFC with clinical symptoms and neuropsychological functioning in iRBD remain unclear.
View Article and Find Full Text PDFNPJ Parkinsons Dis
January 2025
Norman Fixel Institute for Neurological Disease, University of Florida, Gainesville, FL, USA.
Non-motor symptoms (NMS) in Parkinson's disease (PD) significantly impact quality of life, especially in later stages. REM sleep behavior disorder (RBD) affects approximately 42% of all PD patients and frequently precedes motor PD symptoms. RBD is linked to increased rates of depression and cognitive decline.
View Article and Find Full Text PDFArq Neuropsiquiatr
January 2025
Istanbul University-Cerrahpasa Faculty of Medicine, Department of Neurology, Division of Clinical Neurophysiology, Istanbul, Turkey.
Background: Isolated rapid eye movement (REM) sleep behavior disorder (iRBD) is characterized by loss of the normal atonia of REM sleep accompanied by repetitive motor and behavior phenomena of dream content.
Objective: To evaluate the reliability and validity of the Turkish version of the original form of the Innsbruck Rapid Eye Movement Sleep Behavior Disorder Diagnostic Inventory (IRBD-9) scale (IRBD-9-TR) and ensure that this screening test can be easily used in the Turkish language.
Methods: The present is a multicenter and prospective study involving 184 patients: 51 with iRBD and 133 healthy controls.
J Neurosci Methods
January 2025
School of Electrical and Computer Engineering, Gallogly College of Engineering, University of Oklahoma, Norman, OK 73019, USA.
Background: Recent advances in multimodal signal analysis enable the identification of subtle drug-induced anomalies in sleep that traditional methods often miss.
New Method: We develop and introduce the Dynamic Representation of Multimodal Activity and Markov States (DREAMS) framework, which embeds explainable artificial intelligence (XAI) techniques to model hidden state transitions during sleep using tensorized EEG, EMG, and EOG signals from 22 subjects across three age groups (18-29, 30-49, and 50-66 years). By combining Tucker decomposition with probabilistic Hidden Markov Modeling, we quantified age-specific, temazepam-induced hidden states and significant differences in transition probabilities.
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