Cortical morphology variations during the menstrual cycle in individuals with and without premenstrual dysphoric disorder.

Grey matter Magnetic resonance imaging Menstrual cycle Mental health Premenstrual dysphoric disorder Surface-based morphometry

Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
27 Mar 2024
Historique:
received: 24 10 2023
revised: 16 02 2024
accepted: 23 03 2024
medline: 30 3 2024
pubmed: 30 3 2024
entrez: 29 3 2024
Statut: aheadofprint

Résumé

Premenstrual dysphoric disorder (PMDD) is hypothesized to stem from maladaptive neural sensitivity to ovarian steroid hormone fluctuations. Recently, we found thinner cortices in individuals with PMDD, compared to healthy controls, during the symptomatic phase. Here, we aimed at investigating whether such differences illustrate state-like characteristics specific to the symptomatic phase, or trait-like features defining PMDD. Patients and controls were scanned using structural magnetic resonance imaging during the mid-follicular and late-luteal phase of the menstrual cycle. Group-by-phase interaction effects on cortical architecture metrics (cortical thickness, gyrification index, cortical complexity, and sulcal depth) were assessed using surface-based morphometry. Independently of menstrual cycle phase, a main effect of diagnostic group on surface metrics was found, primarily illustrating thinner cortices (0.3 < Cohen's d > 1.1) and lower gyrification indices (0.4 < Cohen's d > 1.0) in patients compared to controls. Furthermore, menstrual cycle-specific effects were detected across all participants, depicting a decrease in cortical thickness (0.4 < Cohen's d > 1.7) and region-dependent changes in cortical folding metrics (0.4 < Cohen's d > 2.2) from the mid-follicular to the late luteal phase. Small effects (d = 0.3) require a larger sample size to be accurately characterized. These findings provide initial evidence of trait-like cortical characteristics of the brain of individuals with premenstrual dysphoric disorder, together with indications of menstrual cycle-related variations in cortical architecture in patients and controls. Further investigations exploring whether these differences constitute stable vulnerability markers or develop over the years may help understand PMDD etiology.

Sections du résumé

BACKGROUND BACKGROUND
Premenstrual dysphoric disorder (PMDD) is hypothesized to stem from maladaptive neural sensitivity to ovarian steroid hormone fluctuations. Recently, we found thinner cortices in individuals with PMDD, compared to healthy controls, during the symptomatic phase. Here, we aimed at investigating whether such differences illustrate state-like characteristics specific to the symptomatic phase, or trait-like features defining PMDD.
METHODS METHODS
Patients and controls were scanned using structural magnetic resonance imaging during the mid-follicular and late-luteal phase of the menstrual cycle. Group-by-phase interaction effects on cortical architecture metrics (cortical thickness, gyrification index, cortical complexity, and sulcal depth) were assessed using surface-based morphometry.
RESULTS RESULTS
Independently of menstrual cycle phase, a main effect of diagnostic group on surface metrics was found, primarily illustrating thinner cortices (0.3 < Cohen's d > 1.1) and lower gyrification indices (0.4 < Cohen's d > 1.0) in patients compared to controls. Furthermore, menstrual cycle-specific effects were detected across all participants, depicting a decrease in cortical thickness (0.4 < Cohen's d > 1.7) and region-dependent changes in cortical folding metrics (0.4 < Cohen's d > 2.2) from the mid-follicular to the late luteal phase.
LIMITATIONS CONCLUSIONS
Small effects (d = 0.3) require a larger sample size to be accurately characterized.
CONCLUSIONS CONCLUSIONS
These findings provide initial evidence of trait-like cortical characteristics of the brain of individuals with premenstrual dysphoric disorder, together with indications of menstrual cycle-related variations in cortical architecture in patients and controls. Further investigations exploring whether these differences constitute stable vulnerability markers or develop over the years may help understand PMDD etiology.

Identifiants

pubmed: 38552916
pii: S0165-0327(24)00554-8
doi: 10.1016/j.jad.2024.03.130
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest ISP has served on advisory boards or acted as invited speaker at scientific meetings for Asarina Pharma, Bayer Health Care, Gedeon Richter, Peptonics, Shire/Takeda, Sandoz, and Lundbeck A/S, on few occasions. These entities were not involved in the design, conduct or report of the present research. No conflicts of interest are declared by the other authors.

Auteurs

Manon Dubol (M)

Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Sweden.

Louise Stiernman (L)

Department of Clinical Sciences, Umeå University, Sweden.

Inger Sundström-Poromaa (I)

Department of Women's and Children's Health, Uppsala University, Sweden.

Marie Bixo (M)

Department of Clinical Sciences, Umeå University, Sweden.

Erika Comasco (E)

Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Sweden. Electronic address: erika.comasco@neuro.uu.se.

Classifications MeSH