Publications by authors named "Morgan Gautherot"
Article Synopsis
- Systemic lupus erythematosus (SLE) is an autoimmune disease that can affect various organs, including the brain, and researchers used an AI model called BrainAGE to assess brain aging in SLE patients.
- The study involved 70 female SLE patients and 24 healthy controls, utilizing MRI scans and neuropsychological tests to calculate BrainAGE scores.
- Results showed that SLE patients had significantly higher BrainAGE scores than controls, which were linked to cognitive impairments like slower reaction times and lower mental flexibility, indicating potential neuronal damage.
Article Synopsis
- The study examines the relationship between neuroimaging-derived brain age estimates and post-stroke outcomes, hypothesizing that older brain age correlates with cardiovascular risk factors and poorer recovery.
- T2-FLAIR images from over 4,000 stroke patients were analyzed to derive a Relative Brain Age (RBA), which indicates how aged a patient's brain appears compared to their chronological age.
- The findings showed that higher RBA was linked to a history of conditions like hypertension and diabetes, and significantly affected functional outcomes after stroke, especially in patients with minor strokes.
Predicted age difference (PAD) is a score computed by subtracting chronological age from "brain" age, which is estimated using neuroimaging data. The goal of this study was to evaluate the PAD as a marker of phenotypic heterogeneity and severity among early-onset Alzheimer's disease (EOAD) patients. We first used 3D T1-weighted (3D-T1) magnetic resonance images (MRI) of 3,227 healthy subjects aged between 18 and 85 years to train, optimize, and evaluate the brain age model.
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