Abstract

Postpartum depression (PPD) affects approximately 1 in 10 women after childbirth. A thorough understanding of a preexisting vulnerability to PPD will likely aid the early detection and treatment of PPD. Using a within-sample association, the study examined whether the brain’s structural and functional alterations predict the onset of depression. 157 euthymic postpartum women were subjected to a multimodal MRI scan within the first 6 days of childbirth and were followed up for 12 weeks. Based on a clinical interview 12 weeks postpartum, participants were classified as mentally healthy or having either PPD or adjustment disorder (AD). Voxel-based morphometry and resting-state functional connectivity comparisons were performed between the three groups. 13.4% of women in our study developed PPD (n = 21) and 12.1% (n = 19) adjustment disorder (AD). The risk factors for PPD were a psychiatric history and the experience and severity of baby blues and the history of premenstrual syndrome. Despite the different risk profiles, no differences between the PPD, AD and control group were apparent based on structural and functional neuroimaging data immediately after childbirth. At 12 weeks postpartum, a significant association was observed between Integrated Local Correlation (LCor) and the Edinburgh Postnatal Depression Score (EPDS). Our findings do not support the notion that the brain’s structural and resting-state functional alterations, if present, can be used as an early biomarker of PPD or AD. However, effects may become apparent if continuous measures of symptom severity are chosen.

Details

Title
Examining early structural and functional brain alterations in postpartum depression through multimodal neuroimaging
Author
Schnakenberg, Patricia 1 ; Hahn, Lisa 2 ; Stickel, Susanne 3 ; Stickeler Elmar 4 ; Habel Ute 3 ; Eickhoff, Simon B 2 ; Chechko Natalia 1 ; Dukart Juergen 2 

 Uniklinik RWTH Aachen University, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Aachen, Germany (GRID:grid.412301.5) (ISNI:0000 0000 8653 1507); Research Centre Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Jülich, Germany (GRID:grid.8385.6) (ISNI:0000 0001 2297 375X); Research Centre Jülich, Institute of Neuroscience and Medicine, JARA Institute Brain Structure Function Relationship (INM-10), Jülich, Germany (GRID:grid.8385.6) (ISNI:0000 0001 2297 375X) 
 Research Centre Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Jülich, Germany (GRID:grid.8385.6) (ISNI:0000 0001 2297 375X); Heinrich Heine University Düsseldorf, Institute of Systems Neuroscience, Medical Faculty, Düsseldorf, Germany (GRID:grid.411327.2) (ISNI:0000 0001 2176 9917) 
 Uniklinik RWTH Aachen University, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Aachen, Germany (GRID:grid.412301.5) (ISNI:0000 0000 8653 1507); Research Centre Jülich, Institute of Neuroscience and Medicine, JARA Institute Brain Structure Function Relationship (INM-10), Jülich, Germany (GRID:grid.8385.6) (ISNI:0000 0001 2297 375X) 
 Uniklinik RWTH Aachen University, Department of Gynecology and Obstetrics, Medical Faculty, Aachen, Germany (GRID:grid.412301.5) (ISNI:0000 0000 8653 1507) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2546784024
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.