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Introduction: Intracranial subclinical vessel diseases are considered important indicators of cognitive impairment. However, a comprehensive assessment of various types of vessel disease, particularly in Asian populations, is lacking. We aimed to compare multiple types of intracranial vessel disease in association with cognitive function among a community-based Japanese male population.
Methods: The Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) randomly recruited and examined a community-based cohort of Japanese men from Shiga, Japan. We analyzed those who underwent the Cognitive Abilities Screening Instrument (CASI) assessment and cranial magnetic resonance imaging/angiogram (MRI/MRA) in 2010-2015. Using MRI/MRA, we assessed lacunar infarction, microbleeds, periventricular hyperintensity (PVH), deep subcortical white matter hyperintensity (DSWMH), and intracranial artery stenosis (ICAS). We divided these subclinical cerebrovascular diseases (SCDs) into three categories according to severity. Using linear regression, we calculated the CASI score according to the grade of each vessel disease, adjusted for age and years of education.
Results: In the adjusted models, CASI scores were significantly associated with both PVH and DSWMH. Specifically, multivariable-adjusted CASI scores declined across increasing severity categories of DSWMH (91.7, 91.2, and 90.4; p for trend = 0.011) and PVH (91.5, 90.4, and 89.7; p for trend = 0.006). Other SCDs did not show significant associations. In stratified analyses based on the presence or absence of each SCD, both DSWMH and PVH demonstrated significant inverse trends with CASI scores in the absence of lacunar infarcts and microbleeds and in the presence of ICAS. Additionally, among participants with PVH (+), ≥moderate ICAS was significantly associated with lower CASI scores.
Conclusion: PVH and DSWMH showed significant dose-response relationships with cognitive function among community-based Japanese men. These findings suggest that white matter lesions may be an important indicator of early cognitive impairment, and severe ICAS may also play a role in those with PVH.
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http://dx.doi.org/10.1159/000546882 | DOI Listing |
JCO Clin Cancer Inform
September 2025
USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Purpose: To evaluate a generative artificial intelligence (GAI) framework for creating readable lay abstracts and summaries (LASs) of urologic oncology research, while maintaining accuracy, completeness, and clarity, for the purpose of assessing their comprehension and perception among patients and caregivers.
Methods: Forty original abstracts (OAs) on prostate, bladder, kidney, and testis cancers from leading journals were selected. LASs were generated using a free GAI tool, with three versions per abstract for consistency.
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]).
Disabil Rehabil Assist Technol
September 2025
School of Drama, Film and Television, Shenyang Conservatory of Music, Shenyang, China.
This study examines how choral singing functions as a mechanism for sustaining ritual practice and reinforcing cultural identity. By integrating perspectives from musicology, social psychology, and cognitive science, it explores how collective vocal performance supports emotional attunement, group cohesion, and symbolic memory in culturally diverse contexts. A mixed-methods approach was applied, combining ethnographic observation, survey-based data, and cognitive measures with AI-informed frameworks such as voice emotion recognition and neural synchrony modeling.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
Faculty of Science, Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands.
Predictive coding (PC) proposes that our brains work as an inference machine, generating an internal model of the world and minimizing predictions errors (i.e., differences between external sensory evidence and internal prediction signals).
View Article and Find Full Text PDFGerontologist
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 PDF