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. 2025 Aug 12;17(1):188.
doi: 10.1186/s13195-025-01832-5.

White matter hyperintensities and their impact in brain structure and function in alzheimer's disease and behavioral variant frontotemporal dementia across Latin America and the United States: a cross-sectional study

Affiliations

White matter hyperintensities and their impact in brain structure and function in alzheimer's disease and behavioral variant frontotemporal dementia across Latin America and the United States: a cross-sectional study

Florencia Altschuler et al. Alzheimers Res Ther. .

Abstract

Background: White matter hyperintensities (WMHs) are a core manifestation of normal and pathological aging and are potentially linked to geographical differences in social and physical exposomes. Previous studies have not examined the impact of WMHs burden on neurodegeneration and cognition in healthy controls (HCs) and patients with Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) across geographic regions. This study addressed this gap by assessing the impact of WMHs burden on participants with and without dementia from Latin America (LA) and the United States (US).

Methods: The study comprised 994 participants, including HCs (n = 402), AD (n = 359), and bvFTD subjects (n = 233) from LA and the US. WMHs and their association with grey matter (GM) atrophy, assessed through GM volume and cortical thickness, were evaluated and compared among groups (HCs, AD, and bvFTD) in LA and the US using a voxel-wise brain imaging approach (p < 0.05 family-wise error-corrected for multiple comparisons, minimum cluster size = 50 voxels). Multiple regressions analysis were employed to examine geographic differences in WMHs burden, WMHs-GM associations, and the effect of WMHs on cognitive performance, as assessed by the Mini-Mental State examination.

Results: In the LA cohort only, higher WMHs load was associated with greater GM atrophy across all groups (HCs, AD, bvFTD), with a specific neurodegenerative pattern involving orbitofrontal, cingulate, and temporal areas. HCs from LA showed a greater WMHs load than their US counterparts, and this effect was dependent on GM atrophy. Finally, WMHs burden negatively impacted cognitive performance in dementia subjects, with a greater effect observed in bvFTD subjects from the US.

Conclusion: WMHs have a more pronounced impact on neurodegeneration across the LA cohort, with a worse impact on HCs, which also show higher WMHs burden than their US counterparts. This could increase the risk of developing dementia. Moreover, WMHs burden differentially impacts cognition, with a greater negative effect observed in bvFTD subjects from the US. These findings highlight geographic variations in WMHs-related conditions, offering valuable insights for tailored future research.

Keywords: Alzheimer’s disease; Frontotemporal dementia; Latin America; MRI; White Matter Hyperintensities.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: All human subjects provided a written informed consent prior to enrollment, in accordance with the Declaration of Helsinki. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
WMHs load in AD and bvFTD across LA and the US. Brain maps showing the significant areas of higher WMHs load in AD and bvFTD compared to HCs (AD > HCs and bvFTD > HCs respectively) and bvFTD compared to AD (bvFTD > AD) in LA (purple) and the US (green), controlled by age, years of education, sex, TIV and scanner. Significance was set at p < 0.05 FWE-corrected for multiple comparisons with a cluster extent threshold of 50 voxels. AD: Alzheimer Disease, bvFTD: behavioral variant frontotemporal dementia, FWE: family-wise error, LA: Latin America, US: United States.
Fig. 2
Fig. 2
WMHs and GM atrophy associations in LA and US. A: Brain maps showing significant clusters of GM atrophy associated with total WMHs load in LA (purple) and in US (green) for each condition (HCs, AD, bvFTD). B: Brain maps showing significant tract-specific WMHs associated with cortical thinning in LA and in US regions (purple and green respectively) for each condition (HCs, AD, bvFTD). Age, years of education, sex, TIV and scanner were included as covariates of no interest. Significance was set at p < 0.05 FWE-corrected for multiple comparisons with a cluster extent threshold of 50 voxels. AD: Alzheimer Disease, bvFTD: behavioral variant frontotemporal dementia, FWE: family-wise error, HCs: healthy controls, LA: Latin America, US: United States
Fig. 3
Fig. 3
Association between cortical thickness and total WMHs by geographic region in HCs. Residuals of the total WMHs (adjusted for age and gender) are plotted against cortical thickness for each region, highlighting the regional differences across geographic groups. Lines represent linear trends within each region, and points show individual data. LA: Latin America, US: United States.
Fig. 4
Fig. 4
Association between total WMHs and MMSE scores by geographic region in bvFTD. Residuals of MMSE scores (adjusted for age and education) are plotted against WMHs volume for each region, highlighting the region-specific effects on cognitive outcomes across geographic groups.Lines represent linear trends within each region, and points show individual data. LA: Latin America, MMSE: Mini-Mental State Examinantion, US: United States.

References

    1. Garnier-Crussard A, Bougacha S, Wirth M, André C, Delarue M, Landeau B, et al. White matter hyperintensities across the adult lifespan: relation to age, Aβ load, and cognition. Alzheimers Res Ther. 2020;12:1–11. - PMC - PubMed
    1. Griffanti L, Jenkinson M, Suri S, Zsoldos E, Mahmood A, Filippini N, et al. Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults. NeuroImage. 2018;170:174–81. - PubMed
    1. Prins ND, Scheltens P. White matter hyperintensities, cognitive impairment and dementia: an update. Nat Reviews Neurol. 2015;11(3):157–65. - PubMed
    1. Hu H-Y, Ou Y-N, Shen X-N, Qu Y, Ma Y-H, Wang Z-T, et al. White matter hyperintensities and risks of cognitive impairment and dementia: A systematic review and meta-analysis of 36 prospective studies. Neurosci Biobehavioral Reviews. 2021;120:16–27. - PubMed
    1. Garnier-Crussard A, Cotton F, Krolak‐Salmon P, Chételat G. White matter hyperintensities in Alzheimer’s disease: Beyond vascular contribution. Alzheimer’s & Dementia; 2023. - PubMed

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