Performance of the Dreem 2 EEG headband, relative to polysomnography, for assessing sleep in Parkinson's disease.

Device performance Parkinson’s disease Polysomnography (PSG) REM behavior disorder Sleep Wearable

Journal

Sleep health
ISSN: 2352-7226
Titre abrégé: Sleep Health
Pays: United States
ID NLM: 101656808

Informations de publication

Date de publication:
26 Dec 2023
Historique:
received: 09 05 2023
revised: 20 09 2023
accepted: 22 11 2023
medline: 28 12 2023
pubmed: 28 12 2023
entrez: 27 12 2023
Statut: aheadofprint

Résumé

To pilot the feasibility and evaluate the performance of an EEG wearable for measuring sleep in individuals with Parkinson's disease. Dreem Headband, Version 2. Polysomnography. Ten individuals with Parkinson's disease. Individuals wore Dreem Headband during a single night of polysomnography. Comparison of summary metrics, bias, and epoch-by-epoch analysis. Correlation of summary metrics with demographic and Parkinson's disease characteristics. Summary statistics showed Dreem Headband overestimated several sleep metrics, including total sleep, efficiency, deep sleep, and rapid eye movement sleep, with an exception in light sleep. Epoch-by-epoch analysis showed greater specificity than sensitivity, with adequate accuracy across sleep stages (0.55-0.82). Greater Parkinson's disease duration and rapid eye movement behavior were associated with more wakefulness, and worse Parkinson's disease motor symptoms were associated with less deep sleep. The Dreem Headband performs similarly in Parkinson's disease as it did in non-Parkinson's disease samples and shows promise for improving access to sleep assessment in people with Parkinson's disease.

Identifiants

pubmed: 38151377
pii: S2352-7218(23)00294-2
doi: 10.1016/j.sleh.2023.11.012
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of conflicts of interest Dr. Gonzales reports grants from the Alzheimer’s Association Part the Cloud Gates, the Alzheimer’s Drug Discovery Foundation, the Texas Alzheimer’s Research and Care Consortium, Institutional Pilot Awards, and the National Institutes of Health, as well as personal stock in Abbie. Ms. Pollet and her spouse are employed by and receive income from Academy Diagnostics Sleep and EEG Center. Dr. Seshadri has consulted for Eisai and Biogen outside of the current work. Ms. Wang, Mr. Verlarde, Dr. Horn, Dr. Coss, Dr. Vaou, Dr. Wang, Dr. Li, Dr. Miao, and Dr. Gonzalez report no conflicts.

Auteurs

David Andrés González (DA)

Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA. Electronic address: david_a_gonzalez@rush.edu.

Duo Wang (D)

Department of Statistics, Florida State University, Tallahassee, Florida, USA.

Erin Pollet (E)

Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.

Angel Velarde (A)

Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.

Sarah Horn (S)

Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA; Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.

Pablo Coss (P)

Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.

Okeanis Vaou (O)

Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.

Jing Wang (J)

College of Nursing, Florida State University, Tallahassee, Florida, USA.

Chengdong Li (C)

College of Nursing, Florida State University, Tallahassee, Florida, USA.

Sudha Seshadri (S)

Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA; Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA; Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA.

Hongyu Miao (H)

Department of Statistics, Florida State University, Tallahassee, Florida, USA; College of Nursing, Florida State University, Tallahassee, Florida, USA.

Mitzi M Gonzales (MM)

Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA; Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.

Classifications MeSH