Publications by authors named "L Barnard"
Background: Many proposed clinical decision support systems (CDSS) require multiple disparate data elements as input, which makes implementation difficult, and furthermore have a black-box nature leading to low interpretability. Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is an established modality for the diagnosis of dementia, and a CDSS that uses only an FDG-PET image to produce a reliable and understandable result would ease both of these challenges to clinical application.
Method: A deep variational autoencoder (VAE) was used to extract a latent representation of each image through prior training from FDG-PET brain images (n=2000).
Background: Many proposed clinical decision support systems (CDSS) require multiple disparate data elements as input, which makes implementation difficult, and furthermore have a black-box nature leading to low interpretability. Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is an established modality for the diagnosis of dementia, and a CDSS that uses only an FDG-PET image to produce a reliable and understandable result would ease both of these challenges to clinical application.
Method: A deep variational autoencoder (VAE) was used to extract a latent representation of each image through prior training from FDG-PET brain images (n=2000).
The solar wind is a continual outflow of plasma and magnetic field from the Sun's upper atmosphere-the corona-that expands to fills the solar system. Variability in the near-Earth solar-wind conditions can produce adverse space weather that impacts ground- and space-based technologies. Consequently, numerical fluid models of the solar wind are used to forecast conditions a few days ahead.
View Article and Find Full Text PDFFDG-PET patterns associate with survival in patients with prion disease.
Ann Clin Transl Neurol
December 2024
Objective: Prion disease classically presents with rapidly progressive dementia, leading to death within months of diagnosis. Advances in diagnostic testing have improved recognition of patients with atypical presentations and protracted disease courses, raising key questions surrounding the relationship between patterns of neurodegeneration and survival. We assessed the contribution of fluorodeoxyglucose (FDG-PET) imaging for this purpose.
View Article and Find Full Text PDFArticle Synopsis
- Electrophysiologic changes in neurodegenerative disorders like Alzheimer's and Lewy Body disease can be identified using EEG, providing insight into disease severity.
- Traditional EEG analysis is limited by biases from preset feature selection; this study uses a data-driven tensor decomposition method to extract key EEG activity features during resting states.
- By analyzing data from over 11,000 patients, the researchers developed an algorithm to differentiate cognitive impairment and dementia types based on identifiable EEG patterns, which showed correlations with mental status and biomarkers.