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Cerebral blood flow (CBF) measured with arterial spin labelling (ASL) magnetic resonance imaging (MRI) reflects cerebral perfusion, related to metabolism, and arterial transit time (ATT), related to vascular health. Our aim was to investigate the spatial coefficient of variation (sCoV) of CBF maps as a surrogate for ATT, in volunteers meeting criteria for subjective cognitive decline (SCD), amnestic mild cognitive impairment (MCI) and probable Alzheimer's dementia (AD). Whole-brain pseudo continuous ASL MRI was performed at 3 T in 122 participants (controls = 20, SCD = 44, MCI = 45 and AD = 13) across three sites in New Zealand. From CBF maps that included all grey matter, sCoV progressively increased across each group with increased cognitive deficit. A similar overall trend was found when examining sCoV solely in the temporal lobe. We conclude that sCoV, a simple to compute imaging metric derived from ASL MRI, is sensitive to varying degrees of cognitive changes and supports the view that vascular health contributes to cognitive decline associated with Alzheimer's disease.
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http://dx.doi.org/10.1038/s41598-021-02313-z | DOI Listing |
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]).
Gerontologist
September 2025
Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612United States.
Background And Objectives: Cognition may be influenced by health-related factors such as blood pressure (BP). However, variations in BP may differentially affect cognition across race. This study investigates BP and cognitive decline in older Black and White adults.
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
September 2025
Institute of Gerontology, Wayne State University, Detroit, Michigan, United States.
Objectives: In this study, we examined the extent to which older adult social activity participation and perceptions of neighborhoods correspond with risks of cognitive impairment and no dementia (CIND) and dementia.
Methods: We predicted the risk of both CIND and dementia in a series of Cox proportional hazards analyses among older adults across a ten-year period. Utilizing data from the Health and Retirement Study (HRS, N = 15,020), we examined whether social activity participation corresponded with reduced risk of CIND and dementia, as well as whether perceptions of neighborhood conditions, social cohesion, and neighborhood disorder moderated the effects of social activity participation.
Brain
September 2025
Departamento de Fisiología, Facultad de Medicina, Universidad de Granada, 18016 Granada, Spain.
Primary coenzyme Q (CoQ) deficiency is a mitochondrial disorder with variable clinical presentation and limited response to standard CoQ10 supplementation. Recent studies suggest that 4-hydroxybenzoic acid (4-HBA), a biosynthetic precursor of CoQ, may serve as a substrate enhancement treatment in cases caused by pathogenic variants in COQ2, a gene encoding a key enzyme in CoQ biosynthesis. However, it remains unclear whether 4-HBA is required throughout life to maintain health, whether it offers advantages over CoQ10 treatment, and whether these findings are translatable to humans.
View Article and Find Full Text PDFAnn 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 PDF