Dataset Information

Sleep-Related Rhythmic Movements and Sleep Terrors: A Possible Common Neurophysiological Background in a Preschool Boy.

ABSTRACT: None:We report the case of a 3-year-old boy with a history of frequent and injurious sleep-related rhythmic movements and sleep terrors. We documented six episodes of body rocking and head banging via video polysomnography. No epileptic seizures were observed. In addition to the association between a sleep movement disorder and a disorder of arousal, our case shows that sleep-related rhythmic movements can arise not only during relaxed wakefulness or during a stable sleep stage, but also during a less clearly defined sleep stage during which it is difficult to further subtype non-rapid eye movement sleep. On the contrary, the portion of sleep without rhythmic movement episodes were clearly depicted with their physiological features. These findings might be of relevance for understanding the pathophysiology of both sleep-related rhythmic movements and sleep terrors and emphasize the importance to assess sleep using polysomnography, especially when episodes are frequent and injurious. The neurophysiological information obtained from this assessment might be helpful and guide an eventual treatment option.

SUBMITTER: Merli E

PROVIDER: S-EPMC7099188 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Sleep-Related Rhythmic Movements and Sleep Terrors: A Possible Common Neurophysiological Background in a Preschool Boy.

Merli Elena E Ferri Raffaele R DelRosso Lourdes M LM Mignani Francesco F Loddo Giuseppe G Traverso Annalisa A Provini Federica F

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine 20191102 12

<h4>None</h4>We report the case of a 3-year-old boy with a history of frequent and injurious sleep-related rhythmic movements and sleep terrors. We documented six episodes of body rocking and head banging via video polysomnography. No epileptic seizures were observed. In addition to the association between a sleep movement disorder and a disorder of arousal, our case shows that sleep-related rhythmic movements can arise not only during relaxed wakefulness or during a stable sleep stage, but also ...[more]

PMID: 31855169

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Project description:ObjectivesObstructive respiratory events often terminate with an associated respiratory-related leg movement (RRLM). Such leg movements are not scored as periodic leg movements (periodic limb movements during sleep, PLMS), although the criteria for distinguishing RRLM from PLMS differ between the American Academy of Sleep Medicine (AASM) and the World Association of Sleep Medicine (WASM)/ International Restless Legs Syndrome Study Group (IRLSSG) scoring manuals. Such LMs may be clinically significant in patients with obstructive sleep apnea (OSA). The prevalence and correlation of RRLM in men with OSA were examined.MethodsA case-control sample of 575 men was selected from all men with an apnea-hypopnea index (AHI, ≥3% desaturation criteria) ≥ 10 and good data from piezoelectric leg movement sensors at the first in-home sleep study in the MrOS cohort (mean age = 76.8 years). Sleep studies were rescored for RRLMs using five different RRLM definitions varying in both latency of leg movement onset from respiratory event termination and duration of the leg movement. The quartile of RRLM% (the number of RRLM/the number of hypopneas + apneas) was derived.ResultsThe nonparametric densities of RRLM% were most influenced by alterations in the latency rather than the duration of the LM. The most liberal RRLM definition (latency 0-5 s, duration 0.5-10 s) led to a median RRLM% of 23.4 (interquartile range 12.41, 37.12) in this sample. The average AHI and arousal index increased as the quartile of RRLM% increased, as well as the prevalence of chronic obstructive pulmonary disease (COPD). The prevalence of those with a history of hypertension decreased as RRLM% increased. The non-Caucasian race was associated with lower RRLM%.ConclusionWithin an elderly sample with moderate to severe OSA, piezoelectric-defined RRLM% is associated with a number of sleep-related and demographic factors. Further study of the optimal definition, predictors, and consequences of RRLM is warranted.

Project description:Background: Unlike other episodic sleep disorders in childhood, there are no agreed severity indices for rhythmic movement disorder. While movements can be characterized in detail by polysomnography, in our experience most children inhibit rhythmic movement during polysomnography. Actigraphy and home video allow assessment in the child's own environment, but both have limitations. Standard actigraphy analysis algorithms fail to differentiate rhythmic movements from other movements. Manual annotation of 2D video is time consuming. We aimed to develop a sensitive, reliable method to detect and quantify rhythmic movements using marker free and automatic 3D video analysis. Method: Patients with rhythmic movement disorder (n = 6, 4 male) between age 5 and 14 years (M: 9.0 years, SD: 4.2 years) spent three nights in the sleep laboratory as part of a feasibility study (https://clinicaltrials.gov/ct2/show/NCT03528096). 2D and 3D video data recorded during the adaptation and baseline nights were analyzed. One ceiling-mounted camera captured 3D depth images, while another recorded 2D video. We developed algorithms to analyze the characteristics of rhythmic movements and built a classifier to distinguish between rhythmic and non-rhythmic movements based on 3D video data alone. Data from 3D automated analysis were compared to manual 2D video annotations to assess algorithm performance. Novel indices were developed, specifically the rhythmic movement index, frequency index, and duration index, to better characterize severity of rhythmic movement disorder in children. Result: Automatic 3D video analysis demonstrated high levels of agreement with the manual approach indicated by a Cohen's kappa >0.9 and F1-score >0.9. We also demonstrated how rhythmic movement assessment can be improved using newly introduced indices illustrated with plots for ease of visualization. Conclusion: 3D video technology is widely available and can be readily integrated into sleep laboratory settings. Our automatic 3D video analysis algorithm yields reliable quantitative information about rhythmic movements, reducing the burden of manual scoring. Furthermore, we propose novel rhythmic movement disorder severity indices that offer a means to standardize measurement of this disorder in both clinical and research practice. The significance of the results is limited due to the nature of a feasibility study and its small number of samples. A larger follow up study is needed to confirm presented results.

Dataset Information

Sleep-Related Rhythmic Movements and Sleep Terrors: A Possible Common Neurophysiological Background in a Preschool Boy.

Publications

Sleep-Related Rhythmic Movements and Sleep Terrors: A Possible Common Neurophysiological Background in a Preschool Boy.

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