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

Yoonjin Nah, Na Young Shin, Sehjung Yi, Seung Koo Lee, Sanghoon Han

Research output: Contribution to journalArticle

Abstract

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].

Original languageEnglish
Pages (from-to)1142-1147
Number of pages6
JournalData in Brief
Volume19
DOIs
Publication statusPublished - 2018 Aug 1

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Postpartum Period
Functional Neuroimaging
Magnetic Resonance Imaging
Machine Learning

All Science Journal Classification (ASJC) codes

  • General

Cite this

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. In: Data in Brief. 2018 ; Vol. 19. pp. 1142-1147.
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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.

In: Data in Brief, Vol. 19, 01.08.2018, p. 1142-1147.

Research output: Contribution to journalArticle

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