Personality and cortical architecture in premenstrual dysphoric disorder

Premenstrual dysphoric disorder (PMDD) has been associated with altered grey matter architecture in a trait-like manner. Personality traits, shaped largely by genetics and linked to depressive disorders, may relate to structural properties of the brain and could represent a potential factor mediating vulnerability for PMDD. However, these possible associations remain largely unexplored. The present study assessed personality traits in participants with PMDD and healthy controls, as well as how personality is related to symptom severity and cortical surface measures in PMDD. Healthy controls and patients completed the Swedish Universities Scale of Personality. Following prospective validation of the PMDD diagnosis, patients had their brain scanned with magnetic resonance imaging (MRI) during the symptomatic luteal phase of the menstrual cycle. Personality of controls and patients was compared using Mann-Whitney U tests. Associations of personality with symptom severity and brain surface parameters were tested through correlation analysis. PMDD was associated with higher scores in neuroticism and aggressiveness. Aggressiveness was positively correlated with the severity of irritability/anger, though not significant after correcting for multiple testing. Regarding cortical structural measures, aggressiveness was negatively correlated with cortical complexity of the parahippocampal gyrus. Considering neuroticism and aggressiveness during screening for PMDD could contribute to the identification of risk factors and personalized treatment of females suffering from PMDD.

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Publication Details

Journal
Archives of Women s Mental Health
Published
2026-03-09
DOI
https://doi.org/10.1007/s00737-026-01677-3
Primary Topic
Menstrual Health and Disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Personality and cortical architecture in premenstrual dysphoric disorder

Erika Comasco, Manon Dubol, A.J. Fallgatter, I. Sundström-Poromaa et al.
Archives of Women s Mental Health
Menstrual Health and Disorders
article

Personality and cortical architecture in premenstrual dysphoric disorder

Erika Comasco, Manon Dubol, A.J. Fallgatter, I. Sundström-Poromaa, Birgit Derntl, Elise Bücklein-Ehlers
article en

Abstract

Premenstrual dysphoric disorder (PMDD) has been associated with altered grey matter architecture in a trait-like manner. Personality traits, shaped largely by genetics and linked to depressive disorders, may relate to structural properties of the brain and could represent a potential factor mediating vulnerability for PMDD. However, these possible associations remain largely unexplored. The present study assessed personality traits in participants with PMDD and healthy controls, as well as how personality is related to symptom severity and cortical surface measures in PMDD. Healthy controls and patients completed the Swedish Universities Scale of Personality. Following prospective validation of the PMDD diagnosis, patients had their brain scanned with magnetic resonance imaging (MRI) during the symptomatic luteal phase of the menstrual cycle. Personality of controls and patients was compared using Mann-Whitney U tests. Associations of personality with symptom severity and brain surface parameters were tested through correlation analysis. PMDD was associated with higher scores in neuroticism and aggressiveness. Aggressiveness was positively correlated with the severity of irritability/anger, though not significant after correcting for multiple testing. Regarding cortical structural measures, aggressiveness was negatively correlated with cortical complexity of the parahippocampal gyrus. Considering neuroticism and aggressiveness during screening for PMDD could contribute to the identification of risk factors and personalized treatment of females suffering from PMDD.

Archives of Women s Mental HealthVol. 29(2)
Uppsala University (SE), Science for Life Laboratory (SE), University of Tübingen (DE)
Openalex Percentile: Top 33%
Menstrual Health and Disorders
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