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 journalArticlepeer-review

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

Bibliographical note

Funding Information:
This study was supported by the National Research Foundation of Korea Grant funded by the Korean Government ( NRF-2014R1A1A2055116 ) and faculty research grants from Yonsei University College of Medicine ( 4-2013-0111 ). The authors declare no competing financial interests.

Funding Information:
This study was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2014R1A1A2055116) and faculty research grants from Yonsei University College of Medicine (4-2013-0111). The authors declare no competing financial interests.

Publisher Copyright:
© 2018 The Authors

All Science Journal Classification (ASJC) codes

  • General

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