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Resting-state EEG datasets of adolescents with mild, minimal, and moderate depression

OBJECTIVES: To measure depressive severity of 85 Thai adolescents by using the the Beck Depression Inventory-II and the Patient Health Questionnaire-9 and to record the resting-state EEG of these participants. DATA DESCRIPTION: The current data note provides raw data of behavioral (i.e., group, BDI-...

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Autores principales: Rachamanee, Saravut, Wongupparaj, Peera
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254324/
https://www.ncbi.nlm.nih.gov/pubmed/34215326
http://dx.doi.org/10.1186/s13104-021-05673-x
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author Rachamanee, Saravut
Wongupparaj, Peera
author_facet Rachamanee, Saravut
Wongupparaj, Peera
author_sort Rachamanee, Saravut
collection PubMed
description OBJECTIVES: To measure depressive severity of 85 Thai adolescents by using the the Beck Depression Inventory-II and the Patient Health Questionnaire-9 and to record the resting-state EEG of these participants. DATA DESCRIPTION: The current data note provides raw data of behavioral (i.e., group, BDI-II score, and PHQ-9 score) and electrophysiological parameters (i.e., absolute and relative EEG powers over 64 electrode sites) of 30, 27, and 28 participants with minimal, mild, and moderate depression, respectively. These data are especially useful to investigate the behavioral and electrophysiological markers of adolescents with subclinical depression. It can also be utilized in comparative analysis among age groups, and races.
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spelling pubmed-82543242021-07-06 Resting-state EEG datasets of adolescents with mild, minimal, and moderate depression Rachamanee, Saravut Wongupparaj, Peera BMC Res Notes Data Note OBJECTIVES: To measure depressive severity of 85 Thai adolescents by using the the Beck Depression Inventory-II and the Patient Health Questionnaire-9 and to record the resting-state EEG of these participants. DATA DESCRIPTION: The current data note provides raw data of behavioral (i.e., group, BDI-II score, and PHQ-9 score) and electrophysiological parameters (i.e., absolute and relative EEG powers over 64 electrode sites) of 30, 27, and 28 participants with minimal, mild, and moderate depression, respectively. These data are especially useful to investigate the behavioral and electrophysiological markers of adolescents with subclinical depression. It can also be utilized in comparative analysis among age groups, and races. BioMed Central 2021-07-02 /pmc/articles/PMC8254324/ /pubmed/34215326 http://dx.doi.org/10.1186/s13104-021-05673-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Data Note
Rachamanee, Saravut
Wongupparaj, Peera
Resting-state EEG datasets of adolescents with mild, minimal, and moderate depression
title Resting-state EEG datasets of adolescents with mild, minimal, and moderate depression
title_full Resting-state EEG datasets of adolescents with mild, minimal, and moderate depression
title_fullStr Resting-state EEG datasets of adolescents with mild, minimal, and moderate depression
title_full_unstemmed Resting-state EEG datasets of adolescents with mild, minimal, and moderate depression
title_short Resting-state EEG datasets of adolescents with mild, minimal, and moderate depression
title_sort resting-state eeg datasets of adolescents with mild, minimal, and moderate depression
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254324/
https://www.ncbi.nlm.nih.gov/pubmed/34215326
http://dx.doi.org/10.1186/s13104-021-05673-x
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