White Matter Hyperintensities Correlate with Accelerated Tau Accumulation in Posterior Cortical Regions in Alzheimer's Disease

Abstract Background White matter hyperintensities (WMH) often co‐exist with β‐amyloid (Aβ) and tau tangles in Alzheimer's disease (AD). However, the association of WMH, Aβ plaques, and tau tangles in AD remains elusive. Using two large datasets, this study comprehensively examined the relationship between regional WMH and longitudinal tau accumulation in AD. Method A total of 951 participants from the ADNI and A4 cohorts with Aβ‐PET, fluid‐attenuated inversion recovery images (FLAIR), and tau‐PET data were included, with Resting‐state functional MRI (RS‐fMRI) available for a subset of participants. FLAIR images were segmented using a U‐Net deep learning model to obtain regional WMH volumes. Tau propagation along connectivity patterns was assessed using connectivity‐associated tau spread metrics derived for the whole cortex and specific cortical regions ( β Global , β Frontal , β Parietal , β Temporal , and β Occipital ). We examined the associations between regional WMH, tau accumulation, and connectivity‐associated tau spread. Additionally, two cortical tau subtypes were identified: “Occipital > Parietal” and “Parietal > Occipital”, characterized by higher or lower occipital tau relative to parietal tau, and the impact of regional WMH on tau accumulation was assessed within these subtypes. Result Aβ+ individuals showed higher baseline levels and faster increases in total WMH compared to Aβ‐ individuals, but no differences were observed between T+ and T‐ individuals. Among Aβ+ individuals, temporal meta‐ROI tau was not associated with faster WMH increases. However, greater total WMH was linked to accelerated temporal meta‐ROI tau accumulation (Figure 1), although this relationship did not persist after controlling for Aβ. Greater occipital WMH was associated with faster tau accumulation in occipital regions, particularly the cuneus, and with increasing β Occipital , independent of Aβ (Figure 2). The “Parietal > Occipital” subtype exhibited more rapid tau progression than the “Occipital > Parietal” subtype. In contrast, higher WMH was linked to faster tau increases in the cuneus exclusively within the latter subtype (Figure 3). Conclusion Greater WMH burden, particularly in the occipital lobe, is associated with faster tau accumulation and spread in posterior cortical regions, independent of Aβ. These findings provide novel insights into understanding how vascular damages reflected by WMH contribute to cortical tau aggregation in the posterior cortical region of AD.

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Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_104870
Citations
1
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
1.47
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article

White Matter Hyperintensities Correlate with Accelerated Tau Accumulation in Posterior Cortical Regions in Alzheimer's Disease

Yalin Zhu, Pan Sun, Jie Yang, Liang Li et al.
1 citations
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
1.47
article

White Matter Hyperintensities Correlate with Accelerated Tau Accumulation in Posterior Cortical Regions in Alzheimer's Disease

Yalin Zhu, Pan Sun, Jie Yang, Liang Li, Zhengbo He, Lin Liu, Lili Fang, Tengfei Guo, Yiying Wang, Anqi Li, Xin Zhou, Ying Han, Yue Cai, Mingxu Li, Ting Ma
article en
1 citations

Abstract

Abstract Background White matter hyperintensities (WMH) often co‐exist with β‐amyloid (Aβ) and tau tangles in Alzheimer's disease (AD). However, the association of WMH, Aβ plaques, and tau tangles in AD remains elusive. Using two large datasets, this study comprehensively examined the relationship between regional WMH and longitudinal tau accumulation in AD. Method A total of 951 participants from the ADNI and A4 cohorts with Aβ‐PET, fluid‐attenuated inversion recovery images (FLAIR), and tau‐PET data were included, with Resting‐state functional MRI (RS‐fMRI) available for a subset of participants. FLAIR images were segmented using a U‐Net deep learning model to obtain regional WMH volumes. Tau propagation along connectivity patterns was assessed using connectivity‐associated tau spread metrics derived for the whole cortex and specific cortical regions ( β Global , β Frontal , β Parietal , β Temporal , and β Occipital ). We examined the associations between regional WMH, tau accumulation, and connectivity‐associated tau spread. Additionally, two cortical tau subtypes were identified: “Occipital > Parietal” and “Parietal > Occipital”, characterized by higher or lower occipital tau relative to parietal tau, and the impact of regional WMH on tau accumulation was assessed within these subtypes. Result Aβ+ individuals showed higher baseline levels and faster increases in total WMH compared to Aβ‐ individuals, but no differences were observed between T+ and T‐ individuals. Among Aβ+ individuals, temporal meta‐ROI tau was not associated with faster WMH increases. However, greater total WMH was linked to accelerated temporal meta‐ROI tau accumulation (Figure 1), although this relationship did not persist after controlling for Aβ. Greater occipital WMH was associated with faster tau accumulation in occipital regions, particularly the cuneus, and with increasing β Occipital , independent of Aβ (Figure 2). The “Parietal > Occipital” subtype exhibited more rapid tau progression than the “Occipital > Parietal” subtype. In contrast, higher WMH was linked to faster tau increases in the cuneus exclusively within the latter subtype (Figure 3). Conclusion Greater WMH burden, particularly in the occipital lobe, is associated with faster tau accumulation and spread in posterior cortical regions, independent of Aβ. These findings provide novel insights into understanding how vascular damages reflected by WMH contribute to cortical tau aggregation in the posterior cortical region of AD.

Alzheimer s & DementiaVol. 21(S2)
Capital Medical University (CN), Anhui Medical University (CN), Hong Kong University of Science and Technology (HK), Harbin Institute of Technology (CN), Hainan University (CN), Shenzhen Bay Laboratory (CN), Peking University Shenzhen Hospital (CN), First Affiliated Hospital of Anhui Medical University (CN)
Openalex Percentile: Top 13%
Dementia and Cognitive Impairment Research
1.47
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