Altered neural substrates within cognitive networks of postpartum women during working memory process and resting-state

Yunjin Bak, Yoonjin Nah, Sanghoon Han, Seung Koo Lee, Na Young Shin

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


Postpartum working memory decline has been investigated mostly with neuropsychological tests, but neural evidence is almost unknown. Here we investigated task-related neural alterations during working memory task (n-back) and intrinsic alterations during resting-state (rs) in postpartum women using functional MRI (fMRI). Behaviorally, postpartum women showed comparable working memory performances to the controls although there was a tendency of prolonged response time. fMRI analysis results showed hyper-activation in regions belong to the task positive network (TPN) during the task and hypo-rsfMRI values in the default mode network (DMN) regions during rest in postpartum women. Based on these results, we performed network connectivity analysis using nodes of the TPN and DMN. As a result, the DMN showed a tendency of decreased connectivity in postpartum women during the working memory process compared to the controls. Our results suggest that postpartum women might have functional alterations in the DMN, and that hyper-activation in the TPN during a task might be a compensatory mechanism to maintain working memory performance in postpartum women.

Original languageEnglish
Article number9110
JournalScientific reports
Issue number1
Publication statusPublished - 2020 Dec 1

Bibliographical note

Funding Information:
This study was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2014R1A1A2055116).

Publisher Copyright:
© 2020, The Author(s).

All Science Journal Classification (ASJC) codes

  • General


Dive into the research topics of 'Altered neural substrates within cognitive networks of postpartum women during working memory process and resting-state'. Together they form a unique fingerprint.

Cite this