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

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.

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2025-07-13
DOI
https://doi.org/10.1093/sleep/zsaf194
Citations
2
Primary Topic
Restless Legs Syndrome Research
Type
article
Field-Weighted Citation Impact
2.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Monica Puligheddu, Giuseppe Lanza, Alessandro Silvani, Raffaele Ferri et al.
2 citations
SLEEP
Restless Legs Syndrome Research
2.71
article

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

Monica Puligheddu, Giuseppe Lanza, Alessandro Silvani, Raffaele Ferri, Maria P. Mogavero, Oliviero Bruni, Patrizia Congiu, Luigi Ferini‐Strambi, Francesco Rundo
article en
2 citations

Abstract

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.

SLEEPVol. 49(2)
Vita-Salute San Raffaele University (IT), University of Cagliari (IT), University of Catania (IT), Surgical Specialties (Canada) (CA), Mylan (South Africa) (ZA), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Sapienza University of Rome (IT), University of Bologna (IT)
Good health and well-being
Openalex Percentile: Top 9%
Restless Legs Syndrome Research
2.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.