Background And Aims: In addition to overt stroke lesions, co-occurring covert lesions, including white matter hyperintensities (WMH) and covert lacunar infarcts (CLI), contribute to poststroke outcome. The purpose of this study was to examine the relationship between covert lesions, and motor and cognitive outcomes in individuals with chronic stroke.
Methods: Volumetric quantification of clinically overt strokes, covert lesions (periventricular and deep: pWMH, dWMH, pCLI, dCLI), ventricular and sulcal CSF (vCSF, sCSF), and normal appearing white (NAWM) and gray matter (NAGM) was performed using structural magnetic resonance imaging. We assessed motor impairment and function, and global cognition, memory, and other cognitive domains. When correlation analysis identified more than one MR parameter relating to stroke outcomes, we used regression modeling to identify which factor had the strongest impact.
Results: Neuropsychological and brain imaging data were collected from 30 participants at least 6 months following a clinically diagnosed stroke. Memory performance related to vCSF (r = -0.52, P = .004). The strongest predictor of nonmemory domains was pCLI (r = 0.28, P = .004). Motor impairment and function were most strongly predicted by the volume of stroke and NAWM (r = 0.36; P = .001), and dWMH (r = 0.39; P = .001) respectively.
Conclusions: Covert lesion type and location have important consequences for post-stroke cognitive and motor outcome. Limiting the progression of covert lesions in aging populations may enhance the degree of recovery post-stroke.
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http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2018.10.009 | DOI Listing |
BMJ Case Rep
January 2025
Graduate Medical Education, University of Miami Miller School of Medicine, Fort lauderdale, Florida, USA.
Sexually transmitted proctitis, a prevalent concern among men who have sex with men (MSM) is frequently caused by a range of pathogens, including herpes simplex virus (HSV), and While HSV-associated proctitis typically presents with visible lesions, cases without external manifestations remain evasive. We report the case of an MSM in his early 30s presenting with dyschezia and perineal discomfort after unprotected anoreceptive intercourse. Despite initial inconspicuous findings, rectal swabs revealed HSV-2 infection.
View Article and Find Full Text PDFEur J Neurol
January 2025
Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Background And Purpose: Perioperative stroke is a well-recognized complication of carotid endarterectomy (CEA), but well-performing prediction models do not exist for it. Our aim was to identify novel predictors for perioperative ischaemic cerebrovascular events (iCVEs), emphasizing cerebrovascular imaging and potential biomarkers for stroke in carotid stenosis (CS) patients in a well-characterized prospective CS cohort.
Methods: Helsinki Carotid Endarterectomy Study 2 is an observational prospective and consecutive cohort study of CS patients subjected to CEA during 2012-2015.
Int J Stroke
January 2025
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Background: Covert brain infarction (CBI) is common and poses a potential and non-negligible burden of disease worldwide. The prevalence and risk factors for CBI have been reported inconsistently in previous studies.
Aims: This study aims to ascertain the prevalence and risk factors of CBI and its imaging phenotypes in community-dwelling adults.
Behav Brain Res
March 2025
Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Università Campus Bio-Medico of Rome, Rome, Italy; Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Epilepsia
December 2024
UCL Queen Square Institute of Neurology, London, UK.
Objective: Magnetic resonance imaging (MRI) is a crucial tool for identifying brain abnormalities in a wide range of neurological disorders. In focal epilepsy, MRI is used to identify structural cerebral abnormalities. For covert lesions, machine learning and artificial intelligence (AI) algorithms may improve lesion detection if abnormalities are not evident on visual inspection.
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