Open Access. Powered by Scholars. Published by Universities.®

Neurosciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 4 of 4

Full-Text Articles in Neurosciences

Sex-Specific Effects Of High-Fat And Ketogenic Diet On Inflammatory Responses In The Hippocampus, Shalet James Jan 2023

Sex-Specific Effects Of High-Fat And Ketogenic Diet On Inflammatory Responses In The Hippocampus, Shalet James

Honors Theses

Poor diet and metabolic diseases (obesity, Type 2 diabetes) are associated with increased risk of neurodegenerative and neuropsychiatric disorders, including Alzheimer’s disease, anxiety, and depression. Studies indicate that inflammation in the hippocampus could be one mechanism linking these conditions. Previous findings on inflammation, specifically glial activity in response to a high-fat diet, indicate sex differences in microglial responses in the hippocampus. The ketogenic diet is characterized by a high-fat, low-carbohydrate, and moderate-protein diet. While the ketogenic diet is very high in fat content, it may also possess neuroprotective properties against brain aging and neurodegenerative disorders, as well as boost mood …


Seizure Prediction In Epilepsy Patients, Gary Dean Cravens Feb 2022

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 …


Analysis Of Diagnostic, Preventive, And Disease-Modifying Therapeutic Measures Of Alzheimer’S Disease, Ghazal Habib Havoutis Dec 2017

Analysis Of Diagnostic, Preventive, And Disease-Modifying Therapeutic Measures Of Alzheimer’S Disease, Ghazal Habib Havoutis

HCNSO Student Capstones

Alzheimer’s disease (AD) is the most common late-onset neurodegenerative disorder and cause of dementia, characterized by the formation of neurofibrillary tangles and senile plaque deposits. The heterogeneous nature of the disease (both genetically and environmentally) makes it difficult to prevent or cure. Without prevention, the prevalence of AD is expected to triple by 2050. However, because the diagnosis of AD is usually preceded by years of cognitive impairment, early detection may aid in reducing prevalence. Thus, there is a need for validated diagnostic measures for early and improved diagnosis and prevention. In this review, current and ongoing classifiers of early …


The Scripps Research Institute Summer Undergraduate Research Fellowship, Ezana Assefa Oct 2016

The Scripps Research Institute Summer Undergraduate Research Fellowship, Ezana Assefa

Trick to the Treat of Internships and Research

This program is a 10-week internship designed for undergraduates interested in the scientific field to engage in current research. Students have the option of requesting to work under three mentors, one of which they will be paired. Students will work in the lab with the principal investigator and other members of the lab. Along with working in the lab, students in the program will also attend bi-weekly talks/lectures from researchers, grad students, and professionals at TSRI as well as participating in two presentations and a final poster or oral presentation.