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Background: White matter hyperintensities (WMH) are prominent neuroimaging markers of cerebral small vessel disease (CSVD) linked to cognitive decline. Nevertheless, the pathophysiological mechanisms underlying WMH remain unclear.
Objective: This study aimed to assess the structural decoupling index (SDI) as a novel metric for quantifying the brain's hierarchical organization associated with WMH in cognitively normal older adults
Methods: We analyzed data from 112 cognitively normal individuals with varying WMH burdens (43 high WMH burden and 69 low WMH burden). Neuroimaging data were used to calculate SDI, and gene enrichment analysis was conducted to explore related molecular pathways.
Results: An increased spatial gradient of SDI from the sensory-motor cortex to the associative cortex was observed. Compared to the low WMH burden group, the high WMH group exhibited elevated SDI in the right superior frontal gyrus, bilateral orbital gyrus, bilateral precentral gyrus, bilateral cingulate gyrus, bilateral thalamus, and bilateral striatum. In the high WMH burden group, SDI in the left thalamus and right cingulate gyrus negatively correlated with memory, while SDI in the right orbital gyrus and left precentral gyrus positively correlated with processing speed. Gene enrichment analysis highlighted associations with pathways involved in neural system function, potassium ion transmembrane transport, synaptic signaling, neuron projection development, and cell secretion regulation.
Conclusions: The findings suggest SDI alterations as a potential mechanistic pathway in WMH, which is associated with significant molecular pathways and cognitive impairments. This study provides a theoretical framework for understanding the pathophysiology of WMH progression and subsequent cognitive deficits.
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http://dx.doi.org/10.1177/13872877241309098 | DOI Listing |
J Alzheimers Dis
September 2025
Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
BackgroundDisruptions of deep medullary veins (DMV) have been associated with the radiological severity and cognitive impairment observed in cerebral small vessel disease (SVD). Glymphatic dysfunction may serve as a potential mechanism underlying these associations.ObjectiveWe aimed to clarify the associations between DMV disruptions, MRI indices previously hypothesized as related to glymphatic function, white matter hyperintensities (WMH), and cognitive impairment in SVD.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
September 2025
Institute of Neuroscience (IoNS), UCLouvain, Brussels, Belgium; Neurology Department, Saint-Luc University Hospital, Brussels, Belgium; Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston, USA; WELBIO department, WEL Research Institute, avenue Pasteur, 6 1300 Wavre,
Background: Performance on the Conceptual Matching Task (CMT), a measure of discrimination between conceptually confusable items, has been suggested as a cognitive marker of rhinal cortex atrophy, one of the first brain regions affected by Alzheimer's disease (AD) pathology.
Objectives: We aimed to determine whether CMT can detect preclinical AD, and whether CMT performance is related to regional deposition of tau protein or other AD-associated lesions including amyloid (Aβ) accumulation and white matter hyperintensities (WMH).
Design, Setting And Participants: This cross-sectional study include 101 participants from the UCL2016-121 cohorts in Brussels, Belgium, classified as 56 Aβ-negative cognitively unimpaired (Aβ-CU), 25 Aβ-positive CU (Aβ+CU, preclinical AD), and 20 Aβ-positive mildly cognitively impaired (Aβ+MCI, prodromal AD) individuals.
Sci Rep
September 2025
Department of Neurology, Korea University Ansan Hospital, University College of Medicine, Ansan, South Korea.
White matter hyperintensities (WMH) are commonly assessed using the Fazekas scale, a subjective visual grading system. Despite the emergence of deep learning models for automatic WMH grading, their application in stroke patients remains limited. This study aimed to develop and validate an automatic segmentation and grading model for WMH in stroke patients, utilizing spatial-probabilistic methods.
View Article and Find Full Text PDFBrain Sci
July 2025
August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Rosselló 149, 08036 Barcelona, Spain.
: Vascular risk factors (VRFs) are known to influence cerebral small vessel disease (cSVD) burden and progression. However, their specific impact on the presence and distribution of each cSVD imaging marker (white matter hyperintensity [WMH], perivascular spaces [PVSs], lacunes, and cerebral microbleeds [CMBs]) and their spatial distribution remains unclear. : We conducted a retrospective analysis of 93 patients with lacunar stroke with a standardized investigational magnetic resonance imaging protocol using a 3T scanner.
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