Overview
Present study aims to track the post-stroke cognitive trajectories and to investigate its inter-individual variability.
Description
The study aim is to establish a model capturing patients' inter-individual variability in susceptibility to stroke damage to predict stroke-induced cognitive trajectories. This is a prospective longitudinal observational national monocentric study for 6 years (recruitment during the first 3 years). The investigators perform comprehensive neuropsychological testing in i) acute stroke phase (0-10 days post-stroke), ii) sub-acute stroke phase (3 months post-stroke), and iii) chronic stroke phase (12 months and 3 years post-stroke). At each time point, cognitive performances as well as clinical and functional status will be assessed. Furthermore, the investigators will assess the proxies of cognitive reserve and the level of post-stroke physical activity.
Analyses of the longitudinal dataset, including follow-up assessments up to 36 months post-stroke, indicated an attrition rate of up to 50%, partly attributable to post-stroke mortality. This level of attrition resulted in a substantial reduction in effective sample size and, consequently, insufficient statistical power for the planned prediction models and independent validation analyses. In particular, the reduced number of complete cases limited the robustness and generalizability of the findings. Therefore, following a recruitment pause on 02.10.2023, patient recruitment was resumed on 05.08.2025 after securing additional funding and dedicated study personnel to ensure adequate sample size for model development and validation.
Eligibility
Inclusion Criteria:
- Age ≥18 years old
- First-ever anterior circulation ischemic stroke confirmed by routine MRI
- Time of enrollment: ≤ 10 days from stroke onset.
Exclusion Criteria:
- Previous stroke anamnestic or based on clinical imaging
- Additional stroke in posterior circulation
- Conditions that preclude the cognitive testing (e.g. delirium, intubation, reduced vigilance
- Neurological or psychiatric conditions that preclude the data interpretation (e.g. pre-stroke dementia, schizophrenia, brain tumor, regular intake of benzodiazepine, depression)
- MRI contraindication
- Native language other than German, French or Italian


