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Articles 1 - 2 of 2
Full-Text Articles in Neurosciences
Impact Of Interleukin-34 On The Promotion Of Bone Osteolysis And Neuroinflammation In Experimental Models Of Alzheimer’S Disease, Anny Ho
All HCAS Student Capstones, Theses, and Dissertations
Alzheimer’s disease (AD) is a growing health concern and is the most common type of dementia worldwide. Emerging evidence indicates that aggregated amyloid-beta (Aβ) peptides, one of the hallmark features of AD neuropathology, can increase RANKL-mediated osteoclast activity leading to the prevalence and severity of inflammatory osteolysis, e.g., osteoporosis and periodontal bone loss. Conversely, osteolytic lesions are associated with increased risk of dementia diagnosis indicating that there is a direct link between dementia and inflammatory osteolysis. It was demonstrated that the neuronal cells primarily produce interleukin-34 (IL-34) and microglia, macrophages, and osteoclast precursors express colony-stimulating factor 1 receptor (CSF-1R), a …
Seizure Prediction In Epilepsy Patients, Gary Dean Cravens
Seizure Prediction In Epilepsy Patients, Gary Dean Cravens
NSU REACH and IPE Day
Purpose/Objective: Characterize rigorously the preictal period in epilepsy patients to improve the development of seizure prediction techniques. Background/Rationale: 30% of epilepsy patients are not well-controlled on medications and would benefit immensely from reliable seizure prediction. Methods/Methodology: Computational model consisting of in-silico Hodgkin-Huxley neurons arranged in a small-world topology using the Watts-Strogatz algorithm is used to generate synthetic electrocorticographic (ECoG) signals. ECoG data from 18 epilepsy patients is used to validate the model. Unsupervised machine learning is used with both patient and synthetic data to identify potential electrophysiologic biomarkers of the preictal period. Results/Findings: The model has shown states corresponding to …