Evidence map›Paper›PMID 37810765›Full record

ArticleFrontiers in human neuroscience2023

Effects of deep brain stimulation on quantitative sleep electroencephalogram during non-rapid eye movement in Parkinson's disease.

Adeel A Memon, Brandon S Edney, Alexander J Baumgartner, Alan J Gardner, Corina Catiul, Zachary T Irwin, Allen Joop, Svjetlana Miocinovic, Amy W Amara

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Sleep spindle variation in patients with Parkinson's disease on first nights of sub-optimal deep brain stimulation.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Adeel A MemonDepartment of Neurology, West Virginia University Rockefeller Neuroscience Institute, Morgantown, WV, United States.
Brandon S EdneySchool of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Alexander J BaumgartnerDepartment of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Alan J GardnerNeuroscience Undergraduate Program, University of Alabama at Birmingham, Birmingham, AL, United States.
Corina CatiulDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States.
Zachary T IrwinDepartment of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, United States.
Allen JoopSchool of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Svjetlana MiocinovicDepartment of Neurology, Emory University, Atlanta, GA, United States.
Amy W AmaraDepartment of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
University of Alabama at Birmingham · USUniversity of Colorado Anschutz Medical Campus · USEmory University · USWest Virginia University · US

Funding

Slow wave sleep as a biomarker of rehabilitation-induced cognitive improvement in Parkinson's diseaseR01HD100670 · NICHD · UNIVERSITY OF COLORADO DENVER · PI AMARA, AMY WILLIS · 2021 to 2025
$3.0M
The Effect of Low Frequency STN DBS on Sleep and Vigilance in PD PatientsK23NS080912 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AMARA, AMY WILLIS · 2012 to 2016
$934k
NICHD NIH HHS R01 HD100670NINDS NIH HHS K23 NS080912
6 · The paper itself

Abstract

Introduction: Sleep dysfunction is frequently experienced by people with Parkinson's disease (PD) and negatively influences quality of life. Although subthalamic nucleus (STN) deep brain stimulation (DBS) can improve sleep in PD, sleep microstructural features such as sleep spindles provide additional insights about healthy sleep. For example, sleep spindles are important for better cognitive performance and for sleep consolidation in healthy adults. We hypothesized that conventional STN DBS settings would yield a greater enhancement in spindle density compared to OFF and low frequency DBS. Methods: In a previous within-subject, cross-sectional study, we evaluated effects of low (60 Hz) and conventional high (≥130 Hz) frequency STN DBS settings on sleep macroarchitectural features in individuals with PD. In this Results: The analysis revealed that spindle density was significantly higher in the DBS HIGH condition compared to the DBS LOW condition. Surprisingly, we found that SW amplitude during NREM was significantly higher in the DBS LOW condition compared to DBS OFF and DBS HIGH conditions. However, no significant differences were observed in the other sleep qEEG features during sleep at different DBS conditions. Conclusion: This study presents preliminary evidence suggesting that conventional HIGH frequency DBS settings enhance sleep spindle density in PD. Conversely, LOW frequency settings may have beneficial effects on increasing slow wave amplitude during sleep. These findings may inform mechanisms underlying subjective improvements in sleep quality reported in association with DBS. Moreover, this work supports the need for additional research on the influence of surgical interventions on sleep disorders, which are prevalent and debilitating non-motor symptoms in PD.

Indexed as

cognitionDeep brain stimulationParkinson’s diseasesleepsleep qEEGsleep spindles

Identifiers

PMID37810765
PMCPMC10551142
OpenAlexW4386927180

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.