Relating sex-bias in human cortical and hippocampal microstructure to sex hormones

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Aug. 23, 2024

Abstract Determining sex-bias in brain structure is of great societal interest to improve diagnostics and treatment brain-related disorders. So far, studies on predominantly focus macro-scale measures, often ignore factors determining this bias. Here we study cortical hippocampal microstructure relation sex hormones. Investigating quantitative intracortical profiling in-vivo using the T1w/T2w ratio 1093 healthy females males cross-sectional Human Connectome Project young adult sample, find that regional differs between effect size varies depending self-reported hormonal status females. Microstructural expression hormone genes, based an independent post-mortem are spatially coupled. Lastly, most pronounced paralimbic areas, with low laminar complexity, which predicted be plastic their cytoarchitectural properties. Albeit correlative, our underscores importance incorporating variables into investigation plasticity.

Language: Английский

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White matter microstructural changes across the menstrual cycle: a differential tractography study

Neuroradiology, Journal Year: 2025, Volume and Issue: unknown

Published: May 31, 2025

Language: Английский

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The within-subject stability of cortical thickness, surface area, and brain volumes across one year

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Abstract T1-weighted (T1w) imaging is widely used to examine brain structure based on image-derived phenotypes (IDPs) such as cortical thickness, surface area, and volumes. The reliability of these IDPs has been extensively explored, mainly focusing the inter-subject variations, whereas stability within-subject variations often overlooked. Additionally, how environmental factors time day daylight hours impact structural poorly understood. Therefore, we aimed address T1w-derived explore effecting including processing stream, region size, day, hours, head movement. Three subjects in their late 20s, early 30s, 40s were scanned repeatedly same scanner over one year, from which a densely sampled dataset was acquired with 38, 40, 25 sessions for 1, 2, 3, respectively. temporal evaluated using percentage change coefficients variation (CV). effects assessed by fitting general linear models, aggregating effect size meta-analysis, equivalent analysis. longitudinal stream generates more stable results than cross-sectional hence following are all derived stream. First foremost, most demonstrated changes within 5% CVs 2% almost regions, indicating high stability. Interestingly, found that negatively correlates CVs. Specifically, several small pole, frontal pericalcarine, entorhinal cortex, accumbens showed low In addition, thickness strongly positively correlated volume while being illustrating distinct roles anatomy. Moreover, could be ignored when evaluating total area but not average subcortical volume. Furthermore, left out since there no appreciable Lastly, apparent motion causes underestimated overestimated.

Language: Английский

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“Estrogens and human brain networks: A systematic review of structural and functional neuroimaging studies”

Frontiers in Neuroendocrinology, Journal Year: 2024, Volume and Issue: unknown, P. 101174 - 101174

Published: Dec. 1, 2024

Language: Английский

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