ArticleScientific reports2022
A pilot study to understand the relationship between cortical arousals and leg movements during sleep.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Current evidence and future perspectives in the exploration of sleep-related eating disorder-a systematic literature review.Frontiers in psychiatry · 2024Pooled it
- Sleep awake detection from leg-worn wearables using deep sensor fusion.Scientific reports · 2026Article
- Acute effects of tonic motor activation (TOMAC) on sleep in adults with medication-refractory restless legs syndrome.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Detection of cortical arousals in sleep using multimodal wearable sensors and machine learning.Scientific reports · 2025Article
- Quantitative detection of sleep apnea in adults using inertial measurement unit embedded in wristwatch wearable devices.Scientific reports · 2024Article
- Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm.PloS one · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Leg movements during sleep occur in patients with sleep pathology and healthy individuals. Some (but not all) leg movements during sleep are related to cortical arousals which occur without conscious awareness but have a significant effect of sleep fragmentation. Detecting leg movements during sleep that are associated with cortical arousals can provide unique insight into the nature and quality of sleep. In this study, a novel leg movement monitor that uses a unique capacitive displacement sensor and 6-axis inertial measurement unit, is used in conjunction with polysomnography to understand the relationship between leg movement and electroencephalogram (EEG) defined cortical arousals. In an approach that we call neuro-extremity analysis, directed connectivity metrics are used to interrogate causal linkages between EEG and leg movements measured by the leg movement sensors. The capacitive displacement measures were more closely related to EEG-defined cortical arousals than inertial measurements. Second, the neuro-extremity analysis reveals a temporally evolving connectivity pattern that is consistent with a model of cortical arousals in which brainstem dysfunction leads to near-instantaneous leg movements and a delayed, filtered signal to the cortex leading to the cortical arousal during sleep.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.