Evidence map›Paper›PMID 42853281›Full record

ArticleBrain structure & function2026

Greater temporo-occipital gray matter volume and frontoparietal cortical thickness in post-menopausal women: a UK Biobank study.

Stefanos Tyrovolas, Maria J Portella, Judith Usall, Maria Rosa Cambra-Martí, Antonio Callén, Josep Maria Haro, Christian Núñez, Christian Stephan-Otto

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Article in Brain structure & function, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Stefanos TyrovolasDepartment of Nutrition and Food Studies, George Mason University, Fairfax, VA, 22030, USA.
Maria J PortellaCentro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, 28029, Madrid, Spain.
Judith UsallResearch, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, 08830, Sant Boi de Llobregat, Spain.
Maria Rosa Cambra-MartíRadiology Department, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain.
Antonio CallénInstitut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain.
Josep Maria HaroResearch, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, 08830, Sant Boi de Llobregat, Spain.
Christian NúñezMental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Hospital de La Santa Creu i Sant Pau, Barcelona, Spain. crnunez@recerca.clinic.cat.
Christian Stephan-OttoCentro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, 28029, Madrid, Spain.

Funding

Parc Sanitari Sant Joan de Déu AR202102Sara Borrell CD20/00142
6 · The paper itself

Abstract

Menopause is a critical transitional stage in women's lives, yet evidence on its impact on brain structure remains inconsistent, and large-sample neuroimaging studies are limited. Here, we applied whole-brain morphometry techniques to evaluate differences between pre- and post-menopausal women in terms of gray matter volume, cortical thickness and cortical gyrification. We processed and analyzed T1-weighted brain scans of 4098 women (1033 pre-menopausal; 3065 post-menopausal) from the UK Biobank. Post-menopausal women exhibited greater gray matter volume than pre-menopausal women primarily in the right temporal lobe, encompassing the amygdala and the hippocampus, and extending to the left temporal lobe and occipital regions. Post-menopausal women also exhibited greater cortical thickness in the frontal lobe and the supramarginal gyrus, whereas no differences in cortical gyrification were observed. These findings were consistent across multiple sensitivity analyses addressing age differences, peri-menopausal status, and other potential confounds. The spatial pattern of differences between post-menopausal and pre-menopausal women considerably overlaps with regions affected early in Alzheimer's disease, such as the medial temporal lobe and the supramarginal gyrus. Our findings of larger gray matter volume and greater cortical thickness in post-menopausal women may reflect compensatory mechanisms. Speculatively, these findings align with the biphasic model of brain structural changes in Alzheimer's disease. Further research with longitudinal designs is required to elucidate the exact mechanisms underlying the brain structural differences associated with menopause.

Indexed as

Gray MatterOccipital LobeParietal LobePostmenopauseTemporal LobeAdultAgedFemaleHumansMagnetic Resonance ImagingMiddle AgedOrgan SizeUK BiobankUnited KingdomBrain StructureMenopauseNeuroimaging

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.