Study Objectives: Sleep spindles, a defining feature of stage N2 sleep, are maximal at central electrodes and are found in the frequency range of the electroencephalogram (EEG) (sigma 11-16 Hz) that is known to be heritable. However, relatively little is known about the heritability of spindles. Two recent studies investigating the heritability of spindles reported moderate heritability, but with conflicting results depending on scalp location and spindle type. The present study aimed to definitively assess the heritability of sleep spindle characteristics.
Methods: We utilized the polysomnography data of 58 monozygotic and 40 dizygotic same-sex twin pairs to identify heritable characteristics of spindles at C3/C4 in stage N2 sleep including density, duration, peak-to-peak amplitude, and oscillation frequency. We implemented and tested a variety of spindle detection algorithms and used two complementary methods of estimating trait heritability.
Results: We found robust evidence to support strong heritability of spindles regardless of detector method (h2 > 0.8). However not all spindle characteristics were equally heritable, and each spindle detection method produced a different pattern of results.
Conclusions: The sleep spindle in stage N2 sleep is highly heritable, but the heritability differs for individual spindle characteristics and depends on the spindle detector used for analysis.
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http://dx.doi.org/10.1093/sleep/zsaa230 | DOI Listing |
Mayo Clin Proc
December 2024
Division of Nephrology, Department of Medicine, at the David Geffen School of Medicine at University of California, Los Angeles, CA, USA.
Current clinical practice guidelines were established by several organizations to guide the diagnosis and treatment of hypertension in men and women in a similar manner despite data demonstrating differences in underlying mechanisms. Few publications have provided a contemporary and comprehensive review focused on characteristics of hypertension that are unique to women across their life spectrum. We performed a computerized search using PubMed, OVID, EMBASE, and Cochrane library databases between 1995 and 2023 that highlighted relevant clinical studies, challenges to the management of hypertension in women, and multidisciplinary approaches to hypertension control in women, including issues unique to racial and ethnic minority groups.
View Article and Find Full Text PDFSleep Adv
November 2024
Department of Innovative Technologies, Institute of Digital Technologies for Personalized Healthcare (MeDiTech), University of Applied Sciences and Arts of Southern Switzerland, Lugano, Switzerland.
Study Objectives: Polysomnography (PSG) currently serves as the benchmark for evaluating sleep disorders. Its discomfort makes long-term monitoring unfeasible, leading to bias in sleep quality assessment. Hence, less invasive, cost-effective, and portable alternatives need to be explored.
View Article and Find Full Text PDFFront Pharmacol
December 2024
Department of Anesthesiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Background: Mice play a crucial role in studying the mechanisms of general anesthesia. However, identifying reliable EEG markers for different depths of anesthesia induced by multifarious agents remains a significant challenge. Spindle activity, typically observed during NREM sleep, reflects synchronized thalamocortical activity and is characterized by a frequency range of 7-15 Hz and a duration of 0.
View Article and Find Full Text PDFSleep
December 2024
Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Study Objectives: Isolated REM sleep behavior disorder (iRBD) is recognized as a prodromal stage of alpha-synucleinopathies. Predicting phenoconversion in iRBD patients remains a key challenge. We aimed to investigate whether event-related potentials (ERPs) recorded during visuospatial attention task can serve as predictors of phenoconversion in iRBD patients.
View Article and Find Full Text PDFBMC Psychol
December 2024
NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, UK.
Background: Sleep is substantial issue for hospital inpatients and can negatively affect healing and recovery. There is a good evidence-base for interventions which can improve sleep, however currently they are not being implemented into NHS practice. To address the evidence-practice gap, we have conducted early-phase development for an inpatient sleep intervention (ASLEEP); a multi-level intervention to improve inpatient sleep in UK hospital wards.
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