A5077068801- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Epilepsy research and treatment
- Advanced MRI Techniques and Applications
- Neuroscience and Neural Engineering
- Neurological disorders and treatments
- EEG and Brain-Computer Interfaces
- Advanced Memory and Neural Computing
- Advanced Data Storage Technologies
- Colorectal Cancer Screening and Detection
- Radiomics and Machine Learning in Medical Imaging
- Neuroscience and Neuropharmacology Research
- AI in cancer detection
University of Pennsylvania
2022-2024
Columbia University
2024
California University of Pennsylvania
2023
Abstract Objective Despite the overall success of responsive neurostimulation (RNS) therapy for drug‐resistant focal epilepsy, clinical outcomes in individuals vary significantly and are hard to predict. Biomarkers that indicate efficacy RNS—ideally before device implantation—are critically needed, but challenges include intrinsic heterogeneity RNS patient population variability management across epilepsy centers. The aim this study is use a multicenter dataset evaluate candidate biomarker...
Deep Learning (DL) has the potential to optimize machine learning in both scientific and clinical communities. However, greater expertise is required develop DL algorithms, variability of implementations hinders their reproducibility, translation, deployment. Here we present community-driven Generally Nuanced Framework (GaNDLF), with goal lowering these barriers. GaNDLF makes mechanism development, training, inference more stable, reproducible, interpretable, scalable, without requiring an...
Longitudinal EEG recorded by implanted devices is critical for understanding and managing epilepsy. Recent research reports patient-specific, multi-day cycles in device-detected epileptiform events that coincide with increased likelihood of clinical seizures. Understanding these could elucidate mechanisms generating seizures advance drug neurostimulation therapies.
Functional gradients have been used to study differences in connectivity between healthy and diseased brain states, however this work has largely focused on the cortex. Because subcortex plays a key role seizure initiation temporal lobe epilepsy (TLE), subcortical functional-connectivity may help further elucidate brains TLE, as well left (L)-TLE right (R)-TLE. In work, we calculated (SFGs) from resting-state functional MRI (rs-fMRI) by measuring similarity profiles of voxels cortical gray...
Abstract Objective Epilepsy patients are often grouped together by clinical variables. Quantitative neuroimaging metrics can provide a data‐driven alternative for grouping of patients. In this work, we leverage ultra‐high‐field 7‐T structural magnetic resonance imaging (MRI) to characterize volumetric atrophy patterns across hippocampal subfields and thalamic nuclei in drug‐resistant focal epilepsy. Methods Forty‐two epilepsy 13 controls with were included study. We measured subfield...
Background The piriform cortex has been implicated in the initiation, spread and termination of epileptic seizures. This understanding extended to surgical management epilepsy, where it shown that resection or ablation can result better outcomes. How why may play such a crucial role seizure networks is not well understood. To answer these questions, we investigated functional structural connectivity both healthy controls temporal lobe epilepsy (TLE) patients. Methods We studied retrospective...
Background and Significance Positron Emission Tomography (PET) using fluorodeoxyglucose (FDG-PET) is a standard imaging modality for detecting areas of hypometabolism associated with the seizure onset zone (SOZ) in temporal lobe epilepsy (TLE). However, FDG-PET costly involves use radioactive tracer. Arterial Spin Labeling (ASL) offers an MRI-based quantification cerebral blood flow (CBF) that could also help localize SOZ, but its performance doing so, relative to FDG-PET, limited. In this...
Longitudinal EEG recorded by implanted devices is critical for understanding and managing epilepsy. Recent research reports patient-specific, multi-day cycles in device-detected epileptiform events that coincide with increased likelihood of clinical seizures. Understanding these could elucidate mechanisms generating seizures advance drug neurostimulation therapies.We hypothesize seizure-correlated are present background neural activity, independent interictal spikes, may disrupt cycles.We...
Background: Longitudinal EEG recorded by implanted devices is critical for understanding and managing epilepsy. Recent research reports patient-specific, multi-day cycles in device-detected epileptiform events that coincide with increased likelihood of clinical seizures. Understanding these could elucidate mechanisms generating seizures advance drug neurostimulation therapies. Objective/Hypothesis: We hypothesize seizure-correlated are present background neural activity, independent...
Functional gradients have been used to study differences in connectivity between healthy and diseased brain states, however this work has largely focused on the cortex. Because subcortex plays a key role seizure initiation temporal lobe epilepsy (TLE), subcortical functional-connectivity may help further elucidate brains TLE, as well left (L)-TLE right (R)-TLE.