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Data on subjective recollection effects reflected in large-scale functional connectivity patterns in postpartum women

Functional neuroimaging data was collected while postpartum women and age-matched control women performed the Remember/Know judgment task in the functional magnetic resonance imaging scanner. This data provides information about functional connectivity patterns across the subjective recollection net...

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Detalles Bibliográficos
Autores principales: Nah, Yoonjin, Shin, Na-Young, Yi, Sehjung, Lee, Seung-Koo, Han, Sanghoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139472/
https://www.ncbi.nlm.nih.gov/pubmed/30225283
http://dx.doi.org/10.1016/j.dib.2018.05.070
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author Nah, Yoonjin
Shin, Na-Young
Yi, Sehjung
Lee, Seung-Koo
Han, Sanghoon
author_facet Nah, Yoonjin
Shin, Na-Young
Yi, Sehjung
Lee, Seung-Koo
Han, Sanghoon
author_sort Nah, Yoonjin
collection PubMed
description Functional neuroimaging data was collected while postpartum women and age-matched control women performed the Remember/Know judgment task in the functional magnetic resonance imaging scanner. This data provides information about functional connectivity patterns across the subjective recollection networks that were informative in differentiating the postpartum women from control women. Classification performances based on machine learning algorithms and descriptions of functional connectivity patterns that derived the peak classification accuracy are reported in this article. All other results from our study have been reported in Nah et al. (2018) [1].
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spelling pubmed-61394722018-09-17 Data on subjective recollection effects reflected in large-scale functional connectivity patterns in postpartum women Nah, Yoonjin Shin, Na-Young Yi, Sehjung Lee, Seung-Koo Han, Sanghoon Data Brief Neuroscience Functional neuroimaging data was collected while postpartum women and age-matched control women performed the Remember/Know judgment task in the functional magnetic resonance imaging scanner. This data provides information about functional connectivity patterns across the subjective recollection networks that were informative in differentiating the postpartum women from control women. Classification performances based on machine learning algorithms and descriptions of functional connectivity patterns that derived the peak classification accuracy are reported in this article. All other results from our study have been reported in Nah et al. (2018) [1]. Elsevier 2018-05-18 /pmc/articles/PMC6139472/ /pubmed/30225283 http://dx.doi.org/10.1016/j.dib.2018.05.070 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Neuroscience
Nah, Yoonjin
Shin, Na-Young
Yi, Sehjung
Lee, Seung-Koo
Han, Sanghoon
Data on subjective recollection effects reflected in large-scale functional connectivity patterns in postpartum women
title Data on subjective recollection effects reflected in large-scale functional connectivity patterns in postpartum women
title_full Data on subjective recollection effects reflected in large-scale functional connectivity patterns in postpartum women
title_fullStr Data on subjective recollection effects reflected in large-scale functional connectivity patterns in postpartum women
title_full_unstemmed Data on subjective recollection effects reflected in large-scale functional connectivity patterns in postpartum women
title_short Data on subjective recollection effects reflected in large-scale functional connectivity patterns in postpartum women
title_sort data on subjective recollection effects reflected in large-scale functional connectivity patterns in postpartum women
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139472/
https://www.ncbi.nlm.nih.gov/pubmed/30225283
http://dx.doi.org/10.1016/j.dib.2018.05.070
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