Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
[Preprint]. 2025 Jun 13:2025.06.09.658686.
doi: 10.1101/2025.06.09.658686.

White matter micro- and macrostructural properties in midlife individuals at risk for Alzheimer's disease: Associations with sex and menopausal status

Affiliations

White matter micro- and macrostructural properties in midlife individuals at risk for Alzheimer's disease: Associations with sex and menopausal status

Adam C Raikes et al. bioRxiv. .

Abstract

Women are at greater lifetime risk for Alzheimer's disease (AD), potentially due to midlife fractional anisotropy (FA) and lower mean diffusivity in fornix and corpus callosum, indicating more densely organized white matter. Perimenopausal women were the exception, with white matter profiles closely resembling those of men. Perimenopausal women exhibited minimal or absent fiber cross-section and FDC sex differences and a reversal of the fornix FA advantage observed in pre- and postmenopausal women. These cross-sectional results are consistent with sex differences in white matter organization. Importantly, the perimenopause emerges as a critical window of neural reorganization in the female midlife aging brain characterized by temporary convergence toward male-like white matter organization. Longitudinal analyses are key to identifying women who do or do not revert to a premenopausal profile, which may inform AD risk.

PubMed Disclaimer

Figures

Figure 1:
Figure 1:. Sex differences in white matter metrics between men and women.
(A) Heatmap showing tract-wise sex differences for FD, FC, FDC, FA, and MD across 45 bundles. Colors denote Female > Male (reds) or Male > Female (blues), with darker shades indicating stronger evidence (P+ > 0.9 or < 0.1) and lighter shades indicating modest evidence (P+ > 0.8 or < 0.2). Black indicates limited evidence of difference. (B) Segmentation of the bilateral fornix. (C) Boxplots of residualized mean FD, logFC, FDC, FA, and MD in the corpus callosum for females (red) and males (blue), adjusted for covariates.
Figure 2:
Figure 2:. Sex differences in white matter metrics between premenopausal women and age-matched men.
(A) Heatmap showing tract-wise sex differences for FD, FC, FDC, FA, and MD across 45 bundles. Colors denote Female > Male (reds) or Male > Female (blues), with darker shades indicating stronger evidence (P+ > 0.9 or < 0.1) and lighter shades indicating modest evidence (P+ > 0.8 or < 0.2). Black indicates limited evidence of difference. (B) Segmentation of the bilateral corticospinal tract. (C) Boxplots of residualized mean FD, logFC, FDC, FA, and MD in the corpus callosum for females (red) and males (blue), adjusted for covariates
Figure 3:
Figure 3:. Sex differences in white matter metrics between perimenopausal women and age-matched men.
(A) Heatmap showing tract-wise sex differences for FD, FC, FDC, FA, and MD across 45 bundles. Colors denote Female > Male (reds) or Male > Female (blues), with darker shades indicating stronger evidence (P+ > 0.9 or < 0.1) and lighter shades indicating modest evidence (P+ > 0.8 or < 0.2). Black indicates limited evidence of difference. (B) Segmentation of the bilateral fornix. (C) Boxplots of residualized mean FD, logFC, FDC, FA, and MD in the corpus callosum for females (red) and males (blue), adjusted for covariates.
Figure 4:
Figure 4:. Sex differences in white matter metrics between postmenopausal women and age-matched men.
(A) Heatmap showing tract-wise sex differences for FD, FC, FDC, FA, and MD across 45 bundles. Colors denote Female > Male (reds) or Male > Female (blues), with darker shades indicating stronger evidence (P+ > 0.9 or < 0.1) and lighter shades indicating modest evidence (P+ > 0.8 or < 0.2). Black indicates limited evidence of difference. (B) Segments 4, 5, and 7 of the corpus callosum. (C) Boxplots of residualized mean FD, logFC, FDC, FA, and MD in the corpus callosum for females (red) and males (blue), adjusted for covariates.

Similar articles

References

    1. Rajan KB, Weuve J, Barnes LL, McAninch EA, Wilson RS, Evans DA. Population estimate of people with clinical Alzheimer’s disease and mild cognitive impairment in the United States (2020–2060). Alzheimers Dement. 2021;17(12):1966–1975. doi: 10.1002/alz.12362 - DOI - PMC - PubMed
    1. Mosconi L, Berti V, Dyke J, et al. Menopause impacts human brain structure, connectivity, energy metabolism, and amyloid-beta deposition. Sci Rep. 2021;11(1):10867. doi: 10.1038/s41598-021-90084-y - DOI - PMC - PubMed
    1. Mosconi L, Berti V, Quinn C, et al. Sex differences in Alzheimer risk: Brain imaging of endocrine vs chronologic aging. Neurology. 2017;89(13):1382–1390. doi: 10.1212/WNL.0000000000004425 - DOI - PMC - PubMed
    1. Mosconi L, Rahman A, Diaz I, et al. Increased Alzheimer’s risk during the menopause transition: A 3-year longitudinal brain imaging study. PLOS ONE. 2018;13(12):e0207885. doi: 10.1371/journal.pone.0207885 - DOI - PMC - PubMed
    1. Schelbaum E, Loughlin L, Jett S, et al. Association of Reproductive History With Brain MRI Biomarkers of Dementia Risk in Midlife. Neurology. 2021;97(23):e2328–e2339. doi: 10.1212/WNL.0000000000012941 - DOI - PMC - PubMed

Publication types

LinkOut - more resources