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Systemic immune-inflammation index (SII) is a novel inflammatory marker based on the composition ratio of blood cell counts. In this study, we evaluated the association between the SII and cerebral small vessel disease (cSVD) in health check-up participants. We evaluated participants from our health check-up registry between 2006 and 2013. The SII was calculated using the following formula: SII = (platelet count × neutrophil count)/lymphocyte count. cSVD was assessed by considering white matter hyperintensity (WMH) volume, lacunes, and cerebral microbleeds (CMBs). A total of 3187 participants were assessed. In multivariable linear regression analysis, the SII was significantly related to WMH volume [β = 0.120, 95% confidence interval (CI) 0.050-0.189]. However, lacunes and CMBs showed no statistical significance with the SII. In the subgroup analysis by age, the SII was significantly associated with WMH volume only in participants aged ≥ 60 years (β = 0.225, 95% CI 0.068-0.381). In conclusion, a high SII was associated with cSVD. Since this association was more pronounced in WMH than in lacunes or CMBs, WMH might be closer to the inflammation-related pathological mechanisms.
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http://dx.doi.org/10.1038/s41598-022-11575-0 | DOI Listing |
Brain Behav
September 2025
Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
Background And Purpose: White matter hyperintensity (WMH) impairs cognitive function but is not evident in the early stage, raising the need to explore the underlying mechanism. We aimed to investigate the potential role of network structure-function coupling (SC-FC coupling) in cognitive performance of WMH patients.
Methods: A total of 617 participants with WMH (mean age = 61 [SD = 8]; 287 females [46.
Neurology
October 2025
Department of Radiology, Mayo Clinic, Rochester, MN.
Background And Objectives: The relationship between insomnia and cognitive decline is poorly understood. We investigated associations between chronic insomnia, longitudinal cognitive outcomes, and brain health in older adults.
Methods: From the population-based Mayo Clinic Study of Aging, we identified cognitively unimpaired older adults with or without a diagnosis of chronic insomnia who underwent annual neuropsychological assessments (z-scored global cognitive scores and cognitive status) and had quantified serial imaging outcomes (amyloid-PET burden [centiloid] and white matter hyperintensities from MRI [WMH, % of intracranial volume]).
Ann Acad Med Singap
August 2025
Dementia Research Centre (Singapore), Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore.
Introduction: Interpretation and analysis of magnetic resonance imaging (MRI) scans in clinical settings comprise time-consuming visual ratings and complex neuroimage processing that require trained professionals. To combat these challenges, artificial intelligence (AI) techniques can aid clinicians in interpreting brain MRI for accurate diagnosis of neurodegenerative diseases but they require extensive validation. Thus, the aim of this study was to validate the use of AI-based AQUA (Neurophet Inc.
View Article and Find Full Text PDFJ Am Heart Assoc
September 2025
KHP Centre for Translational Medicine, King's College London British Heart Foundation, Cardiovascular Division, Department of Clinical Pharmacology St Thomas' Hospital London United Kingdom.
Background: The aim of this study was to investigate the associations between pulse pressure (PP) and age-related structural brain changes including brain volumes, white matter hyperintensities (WMH), fractional anisotropy, silent brain lesions, microbleeds, cerebral blood flow and metabolism, and beta-amyloid accumulation.
Methods: Systematic review of PubMed (MEDLINE), Scopus, and Ovid Embase (from inception to January 2023) and references of included studies among adult populations was conducted. Findings were summarized narratively and by performing a fixed-effects meta-analysis.
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.
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