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Background: Stroke is a leading cause of death and disability globally, with frequent cognitive sequelae affecting up to 60% of stroke survivors. Despite the high prevalence of post-stroke cognitive impairment (PSCI), early detection remains underemphasized in clinical practice, with limited focus on broader neuropsychological and affective symptoms. Stroke elevates dementia risk and may act as a trigger for progressive neurodegenerative diseases. However, the underlying neurobiological mechanisms and the interaction between vascular and degenerative pathways are poorly understood. The ICTUSCOG study aims to address these gaps by determining the incidence, predictors and progression factors of PSCI in a prospective, multicenter cohort of nondisabling stroke patients. The work will explore distinct patient profiles, evaluate the role of biomarkers, and develop a predictive model to identify at risk individuals.
Methods: ICTUSCOG is a five-year observational project involving four Spanish centres. Recruitment began in 2022 and includes consecutive patients aged 18-75 with no prior cognitive impairment and nondisabling stroke. Participants undergo detailed neuropsychological, functional, and neuroimaging assessments at baseline, 3, 6, and 12 months, and annually thereafter. Key data include stroke characteristics, vascular risk factors, advanced neuroimaging metrics, and biological biomarkers. Neuropsychological assessments incorporate domain-specific validated tools tailored for stroke patients.
Discussion: The study will quantify the incidence of early and late PSCI, identify predictors of progression, and characterise cognitive profiles. Multivariate models and clustering techniques will explore interactions among clinical, biological and imaging data. A predictive model will be developed and validated for clinical use. ICTUSCOG will provide critical insights into the mechanisms and trajectories of PSCI, informing prevention, early intervention, and rehabilitation strategies. The work aims to establish predictive tools and care pathways to mitigate the burden of cognitive impairment in stroke survivors.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0330255 | PLOS |
Alzheimers Res Ther
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Department of Neurology, Saarland University, Kirrberger Straße, 66421, Homburg/Saar, Germany.
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September 2025
Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Introduction: Mild cognitive impairment (MCI) represents a transitional stage between normal aging and dementia. We investigate associations among cardiovascular and metabolic disorders (hypertension, diabetes mellitus, and hyperlipidemia) and diagnosis (normal; amnestic [aMCI]; and non-amnestic [naMCI]).
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J Mol Neurosci
September 2025
Department of Physiology, School of Medicine, Dokuz Eylul University, Izmir, Turkey.
The ketogenic diet (KD), a high-fat, low-carbohydrate regimen, has been shown to exert neuroprotective effects in various neurological models. This study explored how KD-alone or combined with antibiotic-induced gut microbiota depletion-affects cognition and neuroinflammation in aging. Thirty-two male rats (22 months old) were assigned to four groups (n = 8): control diet (CD), ketogenic diet (KD), antibiotics with control diet (AB), and antibiotics with KD (KDAB).
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Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Cognitive decline is common in multiple sclerosis (MS), although neural mechanisms are not fully understood. The objective was to investigate the impact of mild cognitive impairment (MCI) on the relationship between resting state functional connectivity (RSFC) and cognitive function in older adults with multiple sclerosis (OAMS) and age matched healthy controls. Participants underwent magnetic resonance imaging (MRI) scans and cognitive assessments.
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Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
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