A5090757910- Epilepsy research and treatment
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Molecular Communication and Nanonetworks
- Neuroscience and Neuropharmacology Research
- Topic Modeling
- Artificial Intelligence in Healthcare and Education
- Genomics and Rare Diseases
- Biomedical Text Mining and Ontologies
- Machine Learning in Healthcare
- Neural dynamics and brain function
- Craniofacial Disorders and Treatments
- Neurological disorders and treatments
- Advanced Neuroimaging Techniques and Applications
- Glioma Diagnosis and Treatment
- Advanced Data Storage Technologies
- Mitochondrial Function and Pathology
- Advanced MRI Techniques and Applications
- Neurogenesis and neuroplasticity mechanisms
- Handwritten Text Recognition Techniques
- Cerebrospinal fluid and hydrocephalus
- Advanced Memory and Neural Computing
- Anatomy and Medical Technology
University of Pennsylvania
2022-2025
California University of Pennsylvania
2022-2024
Bellevue College
2022
Earth and Space Research
2022
University of Washington
2019-2022
Seattle University
2022
Abstract Objective Large-language models (LLMs) can potentially revolutionize health care delivery and research, but risk propagating existing biases or introducing new ones. In epilepsy, social determinants of are associated with disparities in access, their impact on seizure outcomes among those access remains unclear. Here we (1) evaluated our validated, epilepsy-specific LLM for intrinsic bias, (2) used LLM-extracted to determine if different demographic groups have outcomes. Materials...
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.
Abstract Objective Mesial temporal lobe epilepsy is a common localization of drug‐resistant in adults. Patients often undergo intracranial electroencephalographic monitoring to confirm and determine candidacy for focal ablation or resection. Clinicians primarily base surgical decision‐making on seizure onset patterns, with imaging abnormalities information from interictal epileptiform discharge (spikes) used as ancillary data. How the morphology timing spikes within multielectrode sequences...
Optogenetics is a powerful neuroscientific tool which allows neurons to be modulated by optical stimulation. Despite widespread optogenetic experimentation in small animal models, optogenetics non-human primates (NHPs) remains niche field, particularly at the large scales necessary for multi-regional neural research. We previously published large-scale, chronic cortical interface NHPs was successful but came with number of limitations. In this work, we present an optimized improves upon...
Epilepsy is a neurological disorder characterized by recurrent seizures which vary widely in severity, from clinically silent to prolonged convulsions. Measuring severity crucial for guiding therapy, particularly when complete control not possible. Seizure diaries, the current standard are insensitive duration of events or propagation seizure activity across brain. We present quantitative score that incorporates electroencephalography (EEG) and clinical data demonstrate how it can guide...
Stable large-scale optogenetic interfaces for non-human primates (NHPs) have a great potential to answer fundamental questions about brain function and develop novel therapies neurological disorders. We previously reported an interface that enables manipulation recording from up 2 cm<sup>2</sup> of cortical tissue by combining three technologies: 1- convection enhanced viral delivery achieve high levels expression across large areas, 2- semi-transparent micro-electrocorticographic arrays...
Non-human primates (NHPs) are precious resources for cutting-edge neuroscientific research, including large-scale viral vector-based experimentation such as optogenetics. We propose to improve surgical outcomes by enhancing the preparation practices of convection-enhanced delivery (CED), which is an efficient vector infusion technique large brains NHPs'. Here, we present both real-time and next-day MRI data CED in ten NHPs, a quantitative, inexpensive, practical bench-side model vivo data....
Abstract Patients with drug-resistant temporal lobe epilepsy often undergo intracranial EEG recording to capture multiple seizures in order lateralize the seizure onset zone. This process is associated morbidity and ends postoperative recurrence. Abundant interictal (between-seizure) data are captured during this process, but these currently play a small role surgical planning. Our objective was predict laterality of zone using patients epilepsy. We performed retrospective cohort study...
Abstract Intracranial EEG is used for two main purposes: to determine (i) if epileptic networks are amenable focal treatment and (ii) where intervene. Currently, these questions answered qualitatively differently across centres. There a need quantify the focality of systematically, which may guide surgical decision-making, enable large-scale data analysis facilitate multi-centre prospective clinical trials. We analysed interictal from 101 patients with drug-resistant epilepsy who underwent...
EEG plays an integral part in the diagnosis and management of children with genetic epilepsies. Nevertheless, how quantitative features differ between epilepsies neurological outcomes remains largely unknown. Here, we aimed to identify biomarkers epilepsy a
In this paper, we outline a method for surgical preparation that allows the practical planning of variety neurosurgeries in NHPs solely using data extracted from magnetic resonance imaging (MRI). This protocol generation 3D printed anatomically accurate physical models brain and skull, as well an agarose gel model modeling some mechanical properties brain. These can be MRI extraction software brain, custom code skull. The takes advantage state-of-the-art printing technology to make...
Abstract Objective Large-language models (LLMs) in healthcare have the potential to propagate existing biases or introduce new ones. For people with epilepsy, social determinants of health are associated disparities access care, but their impact on seizure outcomes among those specialty care remains unclear. Here we (1) evaluated our validated, epilepsy-specific LLM for intrinsic bias, and (2) used LLM-extracted test hypothesis that different demographic groups outcomes. Methods First,...
Intracranial EEG (IEEG) is used for 2 main purposes, to determine: (1) if epileptic networks are amenable focal treatment and (2) where intervene. Currently these questions answered qualitatively sometimes differently across centers. There a need objective, standardized methods guide surgical decision making enable large scale data analysis centers prospective clinical trials. We analyzed interictal from 101 patients with drug resistant epilepsy who underwent presurgical evaluation IEEG....
In this paper, we outline a method for surgical preparation that allows the practical planning of variety neurosurgeries in NHPs solely using data extracted from magnetic resonance imaging (MRI). This protocol generation 3D printed anatomically accurate physical models brain and skull, as well an agarose gel model modeling some mechanical properties brain. These can be MRI extraction software brain, custom code skull. The takes advantage state-of-the-art printing technology to make...
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...
ABSTRACT Patients with drug-resistant temporal lobe epilepsy often undergo intracranial EEG recording to capture multiple seizures in order lateralize the seizure onset zone. This process is associated morbidity and ends postoperative recurrence. Abundant interictal (between-seizure) data captured during this process, but these currently play a small role surgical planning. Our objective was predict laterality of zone using patients epilepsy. We performed retrospective cohort study...
Abstract Mesial temporal lobe epilepsy (mTLE) is a common localization of drug-resistant in adults. Patients often undergo intracranial EEG (iEEG) monitoring to confirm and determine candidacy for focal ablation or resection. Clinicians primarily base surgical decision-making on seizure onset patterns, with imaging abnormalities information from interictal epileptiform discharge (spikes) used as ancillary data. How the morphology timing spikes within multi-electrode sequences may inform...
Abstract Purpose Pre-trained encoder transformer models have extracted information from unstructured clinic note text but require manual annotation for supervised fine-tuning. Large, Generative Pre- trained Transformers (GPTs) may streamline this process. In study, we explore GPTs in zero- and few-shot learning scenarios to analyze clinical health records. Materials Methods We prompt-engineered LLAMA2 13B optimize performance extracting seizure freedom epilepsy notes compared it against...
Abstract Non-human primates (NHPs) are precious resources for cutting edge neuroscientific research, including large-scale viral vector-based experimentation such as optogenetics. We propose to improve surgical outcomes by enhancing preparation practices of convection-enhanced delivery (CED), which is an efficient vector infusion technique large brains NHPs’. Here we present both real-time and next-day MRI data CED in the ten NHPs, a quantitative, inexpensive, practical bench-side model vivo...
Abstract Objective More than one-third of the people with focal epilepsy do not achieve seizure freedom medication, neuromodulation, or neurosurgery therapies. Palliative care goal reducing burden is an alternative for these patients. Minimizing severe seizures essential morbidity. Existing severity scales are qualitative and rely on patient reports, limiting our ability to rigorously track intervene curb seizures. The this study develop validate a quantitative metric severity. Methods We...
Background: An early genetic diagnosis can guide the time-sensitive treatment of individuals with epilepsies. However, identification a cause often occurs long after disease onset. Here, we aimed to identify clinical features suggestive diagnoses in epilepsy by systematic large-scale analysis information from full-text electronic medical records (EMR).Methods: We employed customized natural language processing (NLP) pipeline, extracting 89 million time-stamped standardized annotations...