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Cerebral small vessel disease (CSVD) has recently garnered extensive attention owing to its significant disease burden, insidious onset, and the absence of effective specific treatments. Poor lifestyle habits and chronic diseases are closely linked to its occurrence and development, eventually resulting in cognitive dysfunction. Therefore, improvement of lifestyle, stable blood pressure, effective glucose lowering, low-salt and low-fat diet, smoking cessation, moderate exercise and adequate sleep are the keys to preventing cognitive dysfunction in cerebral small-vessel disease. Early prevention and intervention are of significant clinical importance and social value, particularly as CSVD represents a major contributor to cognitive dysfunction in approximately 40 million elderly individuals worldwide. This comprehensive review integrates findings across four functional MRI techniques-diffusion tensor imaging (DTI), resting-state functional MRI (rs-fMRI), magnetic resonance spectroscopy (MRS), and arterial spin labeling (ASL)-to provide a holistic framework connecting structural abnormalities with functional deficits in CSVD. This paper aimed to cover four aspects: an overview of CSVD, the correlation between the clinical manifestations of CSVD and cognitive dysfunction, the neuroradiological features of CSVD, and the application of functional magnetic resonance imaging (fMRI) in CSVD patients with cognitive dysfunction. The integration of these complementary techniques offers unprecedented insights into disease mechanisms, enabling improved early diagnosis, establishment of reliable imaging biomarkers for monitoring disease progression, and development of tailored therapeutic strategies to slow or prevent cognitive decline in affected individuals.
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http://dx.doi.org/10.3389/fneur.2025.1622274 | DOI Listing |
Naunyn Schmiedebergs Arch Pharmacol
September 2025
Pharmacology and Toxicology Department, Faculty of Pharmacy and Biotechnology, German University in Cairo, Gamal Abdel Nasser, 11835, New Cairo, Egypt.
Licochalcone A (LCA), a natural flavonoid with potent anti-inflammatory properties, has shown promise as a neuroprotective agent. However, its ability to cross the blood-brain barrier (BBB) and exert central effects remains underexplored. In this study, we demonstrate for the first time that LCA enhances cognitive function in a lipopolysaccharide (LPS)-induced neuroinflammatory mouse model and effectively penetrates the BBB.
View Article and Find Full Text PDFRadiology
September 2025
Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Md.
Background Elevated brain iron is a potential marker for neurodegeneration, but its role in predicting onset of mild cognitive impairment (MCI) and prospective cognitive trajectories remains unclear. Purpose To investigate how brain iron and amyloid-β (Aβ) levels, measured using quantitative susceptibility mapping (QSM) MRI and PET, help predict MCI onset and cognitive decline. Materials and Methods In this prospective study conducted between January 2015 and November 2022, cognitively unimpaired older adults underwent baseline QSM MRI.
View Article and Find Full Text PDFEndocr Connect
September 2025
Centre for Higher Education Development, University of Cape Town.
Background: Cortisol and growth hormone are important for sleep regulation and cognition. Sleep is critical for cognitive functioning, and memory consolidation. Patients with pituitary disease experience hormonal dysregulation, impaired sleep quality, and cognitive dysfunction.
View Article and Find Full Text PDFJ Korean Med Sci
September 2025
Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.
Background: Neuropsychological assessments are critical to cognitive care, but are time-consuming and often of variable quality. Automated tools, such as ReadSmart4U, improve report quality and consistency while meeting the growing demand for cognitive assessments.
Methods: This retrospective cross-sectional study analysed 150 neuropsychological assessments stratified by cognitive diagnosis (normal cognition, mild cognitive impairment and Alzheimer's disease) from the Clinical Data Warehouse of a university-affiliated referral hospital (2010-2020).