Bidirectional interactions between nocturnal hormone secretion and sleep regulation are well established. In particular, a link between PRL and rapid eye movement (REM) sleep has been hypothesized. Short-term administration of PRL and even long-term hyperprolactinemia in animals increases REM sleep. Furthermore, sleep disorders are frequent symptoms in patients with endocrine diseases. We compared the sleep electroencephalogram of seven drug-free patients with prolactinoma (mean PRL levels 1450 +/- 1810 ng/mL; range between 146 and 5106 ng/mL) with that of matched controls. The patients had secondary hypogonadism but no other endocrine abnormalities. They spent more time in slow wave sleep than the controls (79.4 +/- 54.4 min in patients vs. 36.6 +/- 23.5 min in controls, P < 0.05). REM sleep variables did not differ between the samples. Our data suggest that chronic excessive enhancement of PRL levels exerts influences on the sleep electroencephalogram in humans. Our result, which seems to be in contrast to the enhanced REM sleep under hyperprolactinemia in rats, leads to the hypothesis that both slow wave sleep and REM sleep can be stimulated by PRL. These findings are in accordance with reports of good sleep quality in patients with prolactinoma, which is in contrast to that of patients with other endocrine diseases.
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http://dx.doi.org/10.1210/jcem.83.8.5016 | 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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