Importance of Utilization of Arm Electromyography Leads for the Detection of Rapid Eye Movement Sleep Without Atonia

This case highlights the importance of utilizing arm EMG to accurately detect REM sleep without atonia, as REM sleep behavior disorder often precedes the development of α-synucleinopathies, such as Parkinson disease.

Authors

Institutions

Publication Details

Journal
The Primary Care Companion For CNS Disorders
Published
2026-02-17
DOI
https://doi.org/10.4088/pcc.25cr04089
Primary Topic
Restless Legs Syndrome Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Importance of Utilization of Arm Electromyography Leads for the Detection of Rapid Eye Movement Sleep Without Atonia

Arminder Johal, Stephanie Stahl, John A. Das
The Primary Care Companion For CNS Disorders
Restless Legs Syndrome Research
article

Importance of Utilization of Arm Electromyography Leads for the Detection of Rapid Eye Movement Sleep Without Atonia

Arminder Johal, Stephanie Stahl, John A. Das
article en

Abstract

This case highlights the importance of utilizing arm EMG to accurately detect REM sleep without atonia, as REM sleep behavior disorder often precedes the development of α-synucleinopathies, such as Parkinson disease.

The Primary Care Companion For CNS DisordersVol. 28(1)
Western Reserve Hospital (US), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US)
Good health and well-being
Openalex Percentile: Top 52%
Restless Legs Syndrome Research
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.