A5039681359- EEG and Brain-Computer Interfaces
- Epilepsy research and treatment
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Neonatal and fetal brain pathology
- Neurological disorders and treatments
- Neuroethics, Human Enhancement, Biomedical Innovations
- Machine Learning in Healthcare
- Parkinson's Disease Mechanisms and Treatments
- Trigeminal Neuralgia and Treatments
- Orthopedic Surgery and Rehabilitation
- Genetic Neurodegenerative Diseases
- Pharmacological Effects and Toxicity Studies
- Psychology of Moral and Emotional Judgment
- Complement system in diseases
- Migraine and Headache Studies
- Bacterial Infections and Vaccines
- Topic Modeling
- Autoimmune Neurological Disorders and Treatments
- Psychedelics and Drug Studies
- Advanced MRI Techniques and Applications
- Cerebral Venous Sinus Thrombosis
- Musculoskeletal synovial abnormalities and treatments
University of Pennsylvania
2017-2024
Hospital of the University of Pennsylvania
2017-2024
California University of Pennsylvania
2023-2024
University of Michigan–Ann Arbor
2018-2019
Earth Resources Technology (United States)
2019
University of Iowa Stead Family Children’s Hospital
2017
Children's Hospital of Philadelphia
2017
University of Iowa
2017
Michigan Medicine
2012
UCL Australia
2011
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...
There exist significant clinical and basic research needs for accurate, automated seizure detection algorithms. These algorithms have translational potential in responsive neurostimulation devices automatic parsing of continuous intracranial electroencephalography data. An important barrier to developing validated is limited access high-quality, expertly annotated data from prolonged recordings. To overcome this, we hosted a kaggle.com competition crowdsource the development using canines...
Abstract The location of interictal spikes is used to aid surgical planning in patients with medically refractory epilepsy; however, their spatial and temporal dynamics are poorly understood. In this study, we analysed the distribution over time 20 adult paediatric (12 females, mean age = 34.5 years, range 5–58) who underwent intracranial EEG evaluation for epilepsy surgery. Interictal were detected 24 h surrounding each seizure clustered based on location. spike calculated patient effects...
Abstract Objective Seizure frequency and seizure freedom are among the most important outcome measures for patients with epilepsy. In this study, we aimed to automatically extract clinical information from unstructured text in notes. If successful, could improve decision-making epilepsy allow rapid, large-scale retrospective research. Materials Methods We developed a finetuning pipeline pretrained neural models classify as being seizure-free containing their date of last annotated 1000 notes...
Abstract Planning surgery for patients with medically refractory epilepsy often requires recording seizures using intracranial EEG. Quantitative measures derived from interictal EEG yield potentially appealing biomarkers to guide these surgical procedures; however, their utility is limited by the sparsity of electrode implantation as well normal confounds spatiotemporally varying neural activity and connectivity. We propose that comparing recordings a normative atlas connectivity can...
Abstract Objective Interictal spikes help localize seizure generators as part of surgical planning for drug‐resistant epilepsy. However, there are often multiple spike populations whose frequencies change over time, influenced by brain state. Understanding state changes in rates will improve our ability to use planning. Our goal was determine the effect sleep and seizures on interictal spikes, seizure‐related seizure‐onset zone (SOZ). Methods We performed a retrospective analysis...
Abstract Objective Electronic medical records allow for retrospective clinical research with large patient cohorts. However, epilepsy outcomes are often contained in free text notes that difficult to mine. We recently developed and validated novel natural language processing (NLP) algorithms automatically extract key outcome measures from clinic notes. In this study, we assessed the feasibility of extracting these study history at our center. Methods applied previously NLP seizure freedom,...
Accurate localization of the subthalamic nucleus (STN) is critical to success deep brain stimulation surgery for Parkinson disease. Recent developments in high-field-strength magnetic resonance imaging (MRI) have made it possible visualize STN greater detail. However, relationship MR-visualized anatomic, electrophysiological, or atlas-predicted remains controversial.To evaluate size visualized on 3-T MRI compared with anatomic measurements cadaver studies and compare predictions those...
The widespread use of stimulants among healthy individuals to improve cognition has received growing attention; however, public attitudes toward this practice are not well understood. We determined the effect framing metaphors and context on opinion cognitive enhancement. recruited 3,727 participants from United States complete three surveys using Amazon’s Mechanical Turk between April July 2017. Participants read vignettes describing an individual enhancement, varying (fuel versus steroid),...
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.
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...
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...
Studies of intracranial EEG networks have been used to reveal seizure generators in patients with drug-resistant epilepsy. Intracranial is implanted capture the epileptic network, collection brain tissue that forms a substrate for seizures start and spread. Interictal measures activity at baseline, computed during this state can aberrant without requiring recordings. network analyses require choosing reference applying statistical functional connectivity. Approaches these technical choices...
Trigeminal neuralgia (TN) is an uncommon idiopathic facial pain syndrome. To assist in diagnosis, treatment, and research, TN often classified as type 1 (TN1) when primarily paroxysmal episodic or 2 (TN2) constant character. Recently, diffusion tensor imaging (DTI) has revealed microstructural changes the symptomatic trigeminal root entry zone of patients with unilateral TN. In this study, authors explored differences DTI parameters between subcategories TN, specifically TN1 TN2, pontine...
Evaluating patients with drug-resistant epilepsy often requires inducing seizures by tapering antiseizure medications (ASMs) in the monitoring unit (EMU). The relationship between ASM taper strategy, seizure timing, and severity remains unclear. In this study, we developed validated a pharmacokinetic model of total load tested its association occurrence EMU.We studied 80 who underwent intracranial electroencephalographic recording for surgery planning. We first order ASMs administered EMU to...
Abstract Objective. To determine the effect of epilepsy on intracranial electroencephalography (EEG) functional connectivity, and ability connectivity to localize seizure onset zone (SOZ), controlling for spatial biases. Approach. We analyzed EEG data from patients with drug-resistant admitted pre-surgical planning. calculated networks determined whether changes in lateralized SOZ using a subsampling method control bias. developed ‘spatial null model’ electrode only sampling information,...
<b><i>Background/Aims:</i></b> Deep brain stimulation (DBS) of the subthalamic nucleus (STN) improves motor symptoms Parkinson disease (PD). However, outcomes can be variable, perhaps due to inconsistent positioning active contact relative an unknown optimal locus stimulation. Here, we determine STN in a geometrically unconstrained, mathematically precise, and atlas-independent manner, using Unified Disease Rating Scale (UPDRS) electrophysiological neuronal model....
Summary Objective Interictal spikes are a characteristic feature of invasive electroencephalography (EEG) recordings in children with refractory epilepsy. Spikes frequently co‐occur across multiple brain regions discernable latencies, suggesting that can propagate through distributed neural networks. The purpose this study was to examine the long‐term reproducibility spike propagation patterns over hours days interictal recording. Methods Twelve (mean age 13.1 years) were retrospectively...
Measuring cortico-cortical evoked potentials (CCEPs) is a promising tool for mapping epileptic networks, but it not known how variability in brain state and stimulation technique might impact the use of CCEPs epilepsy localization. We test hypotheses that (1) demonstrate systematic across trials (2) CCEP amplitudes depend on timing with respect to endogenous, low-frequency oscillations.We studied 11 patients who underwent after stereo-electroencephalography electrode implantation surgical...
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