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Record W4412376381 · doi:10.1093/sleep/zsaf194

Autonomic correlates of large muscle group movements during non-REM sleep in restless legs syndrome: a comparative analysis with periodic and non-periodic leg movements

2025· article· en· W4412376381 on OpenAlexaff
Maria P. Mogavero, Alessandro Silvani, Giuseppe Lanza, Francesco Rundo, Oliviero Bruni, Patrizia Congiu, Monica Puligheddu, Luigi Ferini‐Strambi, Raffaele Ferri

Bibliographic record

VenueSLEEP · 2025
Typearticle
Languageen
FieldMedicine
TopicRestless Legs Syndrome Research
Canadian institutionsSurgical Specialties (Canada)
FundersMinistero della Salute
KeywordsRestless legs syndromeNon-rapid eye movement sleepBradycardiaPolysomnographyArousalAnesthesiaHeart ratePsychologyCardiologyMedicineInternal medicinePhysical medicine and rehabilitationEye movementNeurologyApneaNeuroscienceBlood pressure

Abstract

fetched live from OpenAlex

STUDY OBJECTIVES: Large muscle group movements during sleep (LMMS) have recently been recognized as a prevalent feature in patients with restless legs syndrome (RLS), yet their autonomic profile remains insufficiently characterized. This study aimed to compare heart rate (HR) changes associated with LMMS to those accompanying short-interval (SILMS), periodic (PLMS), and isolated leg movements (ISOLMS) during non-REM sleep in RLS. METHODS: Thirty drug-free RLS patients (20 women, mean age 57.6 ± 12.73 years) underwent full-night polysomnography. For each subject, five arousal-associated events per movement type were selected, provided they were isolated by at least 30 seconds of motor/arousal-free sleep. HR changes were analyzed by computing R-R intervals and expressing them as a percentage of baseline, synchronized to movement onset. The area under the curve (AUC,-10 to +20 s), HR change peak, and movement durations were statistically compared using non-parametric tests. RESULTS: LMMS were significantly longer than other movement types (mean duration: 9.3 s vs. <3.0 s for others) and induced the highest HR response (peak: 129.6%, AUC: 369.3%), followed by SILMS (peak: 125.4%, 266.3%), ISOLMS (peak: 118.2%, 173.4%), and PLMS (peak: 118.5%, 166.9%). SILMS and LMMS were associated with rapid and sustained HR increases, without post-peak bradycardia, while PLMS and ISOLMS showed a modest transient bradycardia following the peak. CONCLUSIONS: LMMS are associated with strong autonomic activation indicating parasympathetic withdrawal and/or sympathetic activation, distinguishing them from other sleep-related leg movements in RLS. The absence of post-peak bradycardia suggests reduced parasympathetic buffering, potentially reflecting more sustained arousal mechanisms. Statement of Significance This study provides the first detailed characterization of the heart rate dynamics associated with large muscle group movements during sleep (LMMS) in patients with restless legs syndrome (RLS). By comparing LMMS with established motor patterns such as periodic, isolated, and short-interval leg movements during sleep, we show that LMMS induce the strongest and most sustained autonomic responses. These responses are likely driven by sympathetic activation and/or parasympathetic withdrawal due to sustained arousal-related central autonomic commands. These findings support the hypothesis that LMMS represent a physiologically distinct class of sleep-related motor events with unique implications for cardiovascular and sleep disruption risk in RLS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.299
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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