Non-invasive auditory brain stimulation for gamma-band entrainment in dementia patients: An EEG dataset.

Alzheimer's disease Brain entrainment Brain oscillations Dementia therapy Network-level synchronization Non-invasive auditory brain stimulation

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 11 11 2021
revised: 09 01 2022
accepted: 14 01 2022
entrez: 7 2 2022
pubmed: 8 2 2022
medline: 8 2 2022
Statut: epublish

Résumé

Gamma entrainment has been shown to enhance beta amyloid (Aβ) uptake in mouse models of Alzheimer's disease (AD) as well as improve cognitive symptoms of dementia in both humans and mice. Similar improvements have been reported for both invasive and non-invasive brain stimulation in the gamma oscillatory band, with 40 Hz auditory and visual sensory stimulants employed in non-invasive approaches. Non-invasive stimulation techniques possess the clear advantage of not requiring surgical procedures and can hence be applicable to a wider set of patients. The dataset introduced here was acquired with the aim of examining the network-level mechanisms governing the production of the brain's oscillatory activity during non-invasive auditory gamma-band stimulation, and thereby helping to explain the reported therapeutic effects of entrainment in AD patients. Thirteen elderly participants with memory complaints whose conditions were diagnosed as normal aging (non-AD) or mild AD based on the standard criteria for the diagnosis of AD including the mini-mental state exam (MMSE) took part in data collection in which EEG signals were recorded during auditory stimulation of the brain. The data collection session consisted of an initial one-minute rest followed by an alternating set of six stimulation trials interleaved with five rest trials. During each stimulation trial, an auditory stimulant in the form of a 40 Hz chirp was presented to the participant. The collected data from all participants were preprocessed following the full pipeline of Makoto with the use of EEGLAB and posted as a dataset named: Auditory Gamma Entrainment at OpenNeuro repository. The data record for each participant includes the EEG signal represented in standard BIDS format for one-minute rest followed by the auditory task data. A copy of the source EEG data is also provided in .txt format. The dataset can be used to study the characteristics of brain oscillations during entrainment, as well as for studies on auditory perception, analysis of resting state potentials in dementia patients, comparison of auditory evoked potentials with resting state potentials, ERP, ERSP, and SSAVP analysis of auditory response in dementia patients, time series analysis of the stimulation and rest trials, and brain connectivity analysis in dementia patients.

Identifiants

pubmed: 35128001
doi: 10.1016/j.dib.2022.107839
pii: S2352-3409(22)00051-8
pmc: PMC8800012
doi:

Types de publication

Journal Article

Langues

eng

Pagination

107839

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

J Neurosci Methods. 2004 Mar 15;134(1):9-21
pubmed: 15102499
Sci Data. 2019 Jun 25;6(1):103
pubmed: 31239435

Auteurs

Mojtaba Lahijanian (M)

Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran.

Mohammad Javad Sedghizadeh (MJ)

Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran.

Hamid Aghajan (H)

Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran.

Zahra Vahabi (Z)

Department of Geriatric Medicine, Ziaeian Hospital, Tehran University of Medical Sciences, Tehran, Iran.

Classifications MeSH