Ryan Nguyen

Texas A&M University System Health Science Center | TAMHSC · Texas A&M Health Science Center College of Medicine

Epilepsy affects 1 in 150 children under the age of 10 and is the most common chronic pediatric neurological condition; poor seizure control can irreversibly disrupt normal brain development. The present study compared the ability of different machine learning algorithms trained with resting-state functional MRI (rfMRI) latency data to detect epile...

Objective This study aims to evaluate the performance of convolutional neural networks (CNN) trained with resting-state functional MRI (rfMRI) latency data in the classification of patients with pediatric epilepsy from healthy controls. Methods Preoperative rfMRI and anatomical MRI scans were obtained from 63 pediatric patients with refractory epi...

Although Blood Oxygenation Level Dependent (BOLD) functional MRI (fMRI) is widely used to examine brain function in adults, the need for general anesthesia limits its practical utility in infants and small children. Functional Near-Infrared Spectroscopy – Diffuse Optical Tomography (fNIRS-DOT) imaging promises to be an alternative brain network ima...

Background Pediatric epilepsy affects 0.5–1% of children, with 10–30% of these children refractory to medical anticonvulsant therapy and potentially requiring surgical intervention. Analysis of resting state functional MRI (rsMRI) signal temporal differences (latency) has been proposed to study the pathological cognitive processes. Purpose/Hypothe...