Publications by authors named "E Olafson"
Alzheimer disease (AD) is characterized by the accumulation of tau neurofibrillary tangles that can be labeled with PET tracers. Multiple tau PET tracers have been used in clinical studies, including [F]GTP1, [F]PI-2620, and [F]MK-6240. Standardized harmonization scales for comparing tau PET signals across tracers are currently under development and can be informed by comparisons of signals between tracers in both target and off-target regions of the brain.
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- Chronic motor impairments are a significant disability after stroke, traditionally linked to damage in specific motor system structures like the corticospinal tract.
- This study employs a data-driven approach to analyze chronic motor outcomes in 789 stroke patients, comparing the effectiveness of theory-based biomarkers against new data-driven biomarkers derived from clinical imaging data.
- Results indicate that data-driven biomarkers, especially regional structural disconnection measures, show a stronger correlation with motor outcomes than traditional theory-based measures, while combining demographic factors further enhanced predictive accuracy.
Introduction: Tau-positron emission tomography (PET) outcome data of patients with Alzheimer's disease (AD) cannot currently be meaningfully compared or combined when different tracers are used due to differences in tracer properties, instrumentation, and methods of analysis.
Methods: Using head-to-head data from five cohorts with tau PET radiotracers designed to target tau deposition in AD, we tested a joint propagation model (JPM) to harmonize quantification (units termed "CenTauR" [CTR]). JPM is a statistical model that simultaneously models the relationships between head-to-head and anchor point data.
Prediction of disease progression is challenging in multiple sclerosis as the sequence of lesion development and retention of inflammation within a subset of chronic lesions is heterogeneous among patients. We investigated the sequence of lesion-related regional structural disconnectivity across the spectrum of disability and cognitive impairment in multiple sclerosis. In a full cohort of 482 multiple sclerosis patients (age: 41.
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- Autism shows a wide variation in physical and brain structure characteristics, with previous brain imaging studies on certain brain regions in autism yielding conflicting results.
- Researchers analyzed a large dataset of MRI scans to explore differences in the thalamus, globus pallidus, and striatum related to factors like sex, age, and IQ.
- They found no overall size differences in these brain regions but identified localized shape variations that change with age, suggesting that the neurodevelopment of these areas is atypical in autism and varies significantly throughout a person's life.