Evidence map›Paper›PMID 40302045›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Spatial-temporal interactions between white matter hyperintensities and multiple pathologies across the Alzheimer's disease continuum.

Li Liang, Wei Liu, Youping Zhong, Tengfei Guo, Chenfei Ye, Ting Ma

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Li LiangDepartment of Electronic & Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Wei LiuDepartment of Electronic & Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Youping ZhongDepartment of Electronic & Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Tengfei GuoInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Chenfei YeSchool of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Ting MaDepartment of Networked Intelligence, Peng Cheng Laboratory, Shenzhen, China.ORCID 0000-0001-8819-6228

Funding

Basic Research Foundation of Shenzhen Science and Technology National Key Program CJGJZD20230724093959002National Natural Science Foundation of China 62106113National Natural Science Foundation of China 62276081The Major Key Project of PCL PCL2021A06
6 · The paper itself

Abstract

introductionThe interactive relationships between Alzheimer's disease (AD) and white matter hyperintensities (WMHs) in multiscale brain structural networks still need to be clarified.

methodsBased on subjects enrolled from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, regional WMHs, amyloid beta (Aβ) accumulation, and microstructural changes detected by diffusion weighted imaging (DWI) in multiscale brain networks were modeled by time-evolving graphs; their interactive relationships were further investigated using Granger causality after constructing pseudo-time subject sequences.

resultsIn up to 86% of the extracted pseudo-time subject sequences, Aβ was determined to be the Granger cause of WMHs in the structural connectivity of the inferior longitudinal fasciculus (ILF). Meanwhile WMHs were significantly correlated with microstructural changes measured by reduced fractional anisotropy in the inferior fronto-occipital fasciculus, ILF, and cingulum, which Granger causality pathways detected in 91%, 94%, and 93% of pseudo-time subject sequences, respectively. DISCUSSION: These findings provide novel insights for understanding the multiscale space-time interactions between WMHs and AD pathologies. HIGHLIGHTS: This study proposed time-evolving graph modeling of heterogeneous disease markers (amyloid beta [Aβ], white matter hyperintensities [WMHs], and microstructural changes of white matter tracts) across the Alzheimer's disease (AD) continuum to investigate their complex interactions in multiscale brain structural networks. Regional accumulation of Aβ promoted WMH progression in subnetworks connected by the inferior longitudinal fasciculus (ILF). Regional WMHs were strongly associated with bundle-specific microstructural changes in the ILF, inferior fronto-occipital fasciculus, and cingulum. These results might provide novel insights for understanding the interactive relationship between cerebral small vessel disease and AD.

Indexed as

Alzheimer DiseaseBrainWhite MatterAgedAged, 80 and overAmyloid beta-PeptidesDiffusion Magnetic Resonance ImagingFemaleHumansMaleNeuroimagingAmyloid beta-PeptidesAlzheimer's diseasebrain structural connectomescausal inferencetime‐evolving graphwhite matter hyperintensities

Identifiers

PMID40302045
PMCPMC12040729

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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.