Medical Sciences Commons^™

Podium Presentation: Spontaneous Intraventricular Empyema In A Patient With Bacterial Sinusitis, Rachel Freedberg, Brian J. Carlson, Cynthia Murphy, Teresa Bigand

2022 Providence Nurse Research Conference

No abstract provided.

A Preliminary Report: The Hippocampus And Surrounding Temporal Cortex Of Patients With Schizophrenia Have Impaired Blood-Brain Barrier, Eric L. Goldwaser, Randel L. Swanson, Edgardo J. Arroyo, Venkat Venkataraman, Mary C. Kosciuk, Robert G. Nagele, L. Elliot Hong, Nimish K. Acharya

Rowan-Virtua Research Day

Schizophrenia (SZ) is one of the most severe forms of mental illness, yet mechanisms remain unclear. A widely established brain finding in SZ is hippocampal atrophy, and a coherent explanation similarly is lacking. Epidemiological evidence suggests increased cerebrovascular and cardiovascular complications in SZ independent of lifestyle and medication, pointing to disease-specific pathology. Endothelial cell contributions to blood-brain barrier (BBB) compromise may influence neurovascular unit and peripheral vascular function, and we hypothesize that downstream functional and structural abnormalities may be explained by impaired BBB.

Improvement Of Memory Loss Through Dietary Intervention In The Assisted Living And Rehabilitative Settings, Alexander Swartz, Martin Forsberg

Rowan-Virtua Research Day

• The ketogenic diet is a popular, controversial diet that fuels the brain through beta-oxidation of fatty acids and production of ketone bodies, the most populous of which is betahydroxybutyrate (BHB).

• The ketogenic diet consists of 70-80% fats, 20-25% protein, and 5-10% carbohydrates.

• Medically, the ketogenic diet is utilized in patients with epilepsy and recommended by some physicians to improve general health through weight loss and insulin sensitivity.

• Key factors of neurodegeneration include glucose hypometabolism, oxidative damage, and neuroinflammation.

• Studies have shown that with ingestion of exogenous ketones alone, or endogenous ketonemia through a ketogenic diet, there is: …

Plasmalogen Deficiency: A Risk Factor For Dementias And Potential Treatment Target, Mitchel A. Kling, Mallika Mendu, Rima F. Kaddurah-Daouk, Sheldon Jordan, Dayan B. Goodenowe

Rowan-Virtua Research Day

Altered lipid metabolism is implicated in the risk of sporadic Alzheimer’s disease (AD) and related dementias (ADRD); however, the precise mechanisms accounting for findings from observational studies remains to be fully elucidated.

Plasmalogens are a subclass of integral membrane phospholipids with unique properties that appear to play important roles relevant to the pathophysiology of AD and ADRD, including vesicle fusion necessary for synaptic neurotransmitter release, modulation of membrane fluidity and microdomain dynamics, membrane antioxidant functions, and neuroprotection. Like the more familiar phosphatides, plasmalogens are synthesized on a 3-carbon glycerol backbone; however, they differ from phosphatides by the presence of a …

The Effects Of Paclitaxel On Cellular Migration And The Cytoskeleton, Ashley Salguero-Gonzalez

Thinking Matters Symposium

In a clinical setting, some patients are exposed to an anti-cancer chemotherapy agent, paclitaxel. Cancerous cells undergo rapid, continuous cell division without control. Chemotherapy treatments try to slow and stop the uncontrollable cell division cycles and eliminate cancerous cells in the process. Paclitaxel serves as a treatment for some types of cancers, including lung, melanoma, bladder, and esophageal. Because it targets the cytoskeleton, paclitaxel can also influence cell migration. This project utilizes a cellular migration assay and an immunohistochemistry assay to analyze the effects of paclitaxel on the movement of cells and on the cytoskeleton of neuroglia rat cells with …

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 …