A5101436665- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Epilepsy research and treatment
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiology practices and education
- Radiation Dose and Imaging
- Memory and Neural Mechanisms
- Innovations in Medical Education
- Machine Learning in Healthcare
- stochastic dynamics and bifurcation
- Tuberous Sclerosis Complex Research
- Alzheimer's disease research and treatments
- Pituitary Gland Disorders and Treatments
- Medical Imaging and Analysis
- Ophthalmology and Eye Disorders
- Meningioma and schwannoma management
- Lanthanide and Transition Metal Complexes
- Neurobiology of Language and Bilingualism
- Tumors and Oncological Cases
- Cerebrovascular and Carotid Artery Diseases
- Atomic and Subatomic Physics Research
- Bioinformatics and Genomic Networks
- Ultrasound in Clinical Applications
Stanford University
2024
University of Pennsylvania
2017-2022
Hospital of the University of Pennsylvania
2017
Patients with drug-resistant epilepsy often require surgery to become seizure-free. While laser ablation and implantable stimulation devices have lowered the morbidity of these procedures, seizure-free rates not dramatically improved, particularly for patients without focal lesions. This is in part because it unclear where intervene cases. To address this clinical need, several research groups published methods map epileptic networks but applying them improve patient care remains a...
The medial temporal lobe (MTL) is connected to the rest of brain through two main networks: anterior-temporal (AT) and posterior-medial (PM) systems. Given crucial role MTL networks in physiopathology Alzheimer's disease (AD), present study aimed at (1) investigating whether atrophy propagates specifically within AT PM networks, (2) evaluating vulnerability these AD proteinopathies. To do that, we used neuroimaging data acquired human male female three distinct cohorts: resting-state...
Abstract How does the human brain’s structural scaffold give rise to its intricate functional dynamics? This is a central question in translational neuroscience that particularly relevant epilepsy, disorder affecting over 50 million subjects worldwide. Treatment for medication-resistant focal epilepsy often structural—through surgery or laser ablation—but targets, patients without clear lesions, are largely based on mapping via intracranial EEG. Unfortunately, relationship between and...
Medial temporal lobe (MTL) subregions play integral roles in memory function and are differentially affected various neurological psychiatric disorders. The ability to structurally functionally characterize these may be important understanding MTL physiology diagnosing diseases involving the MTL. In this study, we characterized network architecture of healthy subjects (n = 31) using both resting state functional MRI MTL-focused T2-weighted structural at 7 tesla. Ten per hemisphere, including...
Patients with drug-resistant focal epilepsy are often candidates for invasive surgical therapies. In these patients, it is necessary to accurately localize seizure generators ensure freedom following intervention. While intracranial electroencephalography (iEEG) the gold standard mapping networks surgery, this approach requires inducing and recording seizures, which may cause patient morbidity. The goal of study evaluate utility interictal (non-seizure) iEEG identify targets treatment. We...
Abstract Mesial temporal lobe epilepsy (TLE) is a common neurological disorder affecting the hippocampus and surrounding medial (MTL). Although prior studies have analyzed whole‐brain network distortions in TLE patients, functional architecture of MTL at subregion level has not been examined. In this study, we utilized high‐resolution 7T T2‐weighted magnetic resonance imaging (MRI) resting‐state BOLD‐fMRI to characterize volumetric asymmetry subregions unilateral medically refractory...
Abstract Brain network models derived from graph theory have the potential to guide functional neurosurgery, and improve rates of post-operative seizure freedom for patients with epilepsy. A barrier applying these clinically is that intracranial EEG electrode implantation strategies vary by centre, region country, cortical grid & strip electrodes (Electrocorticography), purely stereotactic depth (Stereo EEG), a mixture both. To determine whether one type study are broadly applicable...
<h3>BACKGROUND AND PURPOSE:</h3> Predicting long-term clinical outcome in acute ischemic stroke is beneficial for prognosis, trial design, resource management, and patient expectations. This study used a deep learning–based predictive model (DLPD) to predict 90-day mRS outcomes compared its predictions with those made by physicians. <h3>MATERIALS METHODS:</h3> A previously developed DLPD that incorporated DWI data from the period was 80 consecutive patients single-center registry. We...
Network neuroscience applied to epilepsy holds promise map pathological networks, localize seizure generators, and inform targeted interventions control seizures. However, incomplete sampling of the epileptic brain because sparse placement intracranial electrodes may affect model results. In this study, we evaluate sensitivity several published network measures spatial propose an algorithm using subsampling determine confidence in We retrospectively evaluated EEG data from 28 patients...
Abstract A major challenge in neuroscience is determining a quantitative relationship between the brain’s white matter structural connectivity and emergent activity. We seek to uncover intrinsic among brain regions fundamental their functional activity by constructing pairwise maximum entropy model (MEM) of inter-ictal activation patterns five patients with medically refractory epilepsy over an average ~14 hours band-passed intracranial EEG (iEEG) recordings per patient. find that MEM...
The present study investigated the case of a 46‑year‑old female with primary malignant perivascular epithelioid cell neoplasm (PEComa) femur. patient presented 5‑month history right distal thigh pain following trauma. Radiographs femur revealed mixed lytic and sclerotic lesion subtle areas cortical destruction soft tissue extension, consistent an aggressive tumor. A core biopsy tumor granular features, but definitive diagnosis could not be made. Due to features on radiologic evaluation,...
Abstract How does the human brain’s structural scaffold give rise to its intricate functional dynamics? This is a central challenge in translational neuroscience, particularly epilepsy, disorder that affects over 50 million people worldwide. Treatment for medication-resistant focal epilepsy often – through surgery, devices or laser ablation but targets, patients without clear lesions, are largely based on mapping via intracranial EEG (iEEG). Unfortunately, relationship between and...
Drug-resistant epilepsy patients show worse outcomes after resection when standard neuroimaging is nonlesional, which occurs in one-third of patients. In prior work, we employed 2-D glutamate imaging, Glutamate Chemical Exchange Saturation Transfer (GluCEST), to lateralize seizure onset nonlesional temporal lobe (TLE) based on increased ipsilateral GluCEST signal the total hippocampus and hippocampal head. We present a significant advancement single-slice allowing for three-dimensional...
Abstract Focal epilepsy is a devastating neurological disorder that affects an overwhelming number of patients world-wide, many whom prove resistant to medication. The efficacy current innovative technologies for the treatment these has been stalled by lack accurate and effective methods fuse multimodal neuroimaging data map anatomical targets driving seizure dynamics. Here we propose parsimonious model explains how large-scale networks shared genetic constraints shape inter-regional...
Abstract Objective Patients with drug-resistant focal epilepsy are often candidates for invasive surgical therapies. In these patients, it is necessary to accurately localize seizure-generators ensure seizure freedom following intervention. While intracranial electroencephalography (iEEG) the gold standard mapping networks surgery, this approach requires inducing and recording seizures, which may cause patient morbidity. The goal of study evaluate utility interictal (non-seizure) iEEG...
Abstract Focal epilepsy is a clinical condition arising from disordered brain networks. Network models hold promise to map these networks, localize seizure generators, and inform targeted interventions control seizures. However, incomplete sampling of epileptic due sparse placement intracranial electrodes may profoundly affect model results. In this study, we evaluate the robustness several published network measures applied electrode recordings propose an algorithm, using resampling,...
ABSTRACT A major challenge in systems neuroscience is to understand how the brain’s structural architecture gives rise its complex functional dynamics. Here, we address this by examining inter-ictal activity of five patients with medically refractory epilepsy during ∼ 15 hours multi-channel intracranial recording. By constructing a pairwise maximum entropy model (MEM) observed neural dynamics, seek uncover fundamental relationship between and underlying substrate. Despite only incorporating...
Abstract Brain network models derived from graph theory have the potential to guide functional neurosurgery, and improve rates of post-operative seizure freedom for patients with epilepsy. A barrier applying these clinically is that intracranial EEG electrode implantation strategies vary by center, region country, cortical grid & strip electrodes (ECoG), purely stereotactic depth (SEEG), a mixture both. To determine whether one type study are broadly applicable others, we investigate...
Focal epilepsy is a devastating neurological disorder that affects an overwhelming number of patients worldwide, many whom prove resistant to medication. The efficacy current innovative technologies for the treatment these has been stalled by lack accurate and effective methods fuse multimodal neuroimaging data map anatomical targets driving seizure dynamics. Here we propose parsimonious model explains how large-scale networks shared genetic constraints shape inter-regional communication in...