A5049576009- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Cell Image Analysis Techniques
- Epilepsy research and treatment
- Functional Brain Connectivity Studies
- Neuroscience and Neuropharmacology Research
- Single-cell and spatial transcriptomics
- Muscle activation and electromyography studies
- Neurological disorders and treatments
- Health, Environment, Cognitive Aging
- Neural dynamics and brain function
- Gene expression and cancer classification
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
- Scientific Computing and Data Management
- Memory and Neural Mechanisms
- Metaheuristic Optimization Algorithms Research
- Advanced MRI Techniques and Applications
- Artificial Intelligence in Healthcare and Education
- Non-Invasive Vital Sign Monitoring
- Healthcare Technology and Patient Monitoring
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Musculoskeletal pain and rehabilitation
- Genetics, Bioinformatics, and Biomedical Research
- Image Enhancement Techniques
University of Pennsylvania
2013-2025
Translational Therapeutics (United States)
2024-2025
California University of Pennsylvania
2022
Blackfynn (United States)
2017-2021
Hospital of the University of Pennsylvania
2015
University of Pittsburgh
2009-2013
University of Alberta
2004
See Mormann and Andrzejak (doi:10.1093/brain/aww091) for a scientific commentary on this article. Accurate forecasting of epileptic seizures has the potential to transform clinical epilepsy care. However, progress toward reliable seizure been hampered by lack open access long duration recordings with an adequate number investigators rigorously compare algorithms results. A competition was conducted kaggle.com using chronic ambulatory intracranial electroencephalography from five canines...
See Kleen and Kirsch (doi:10.1093/awx178) for a scientific commentary on this article.Cognitive deficits are common among epilepsy patients. In these patients, interictal epileptiform discharges, also termed spikes, seen routinely electroencephalography believed to be associated with transient cognitive impairments. study, we investigated the effect of spikes memory encoding retrieval, taking into account spatial distribution in relation seizure onset zone as well anatomical regions brain....
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...
Management of drug resistant focal epilepsy would be greatly assisted by a reliable warning system capable alerting patients prior to seizures allow the patient adjust activities or medication. Such requires successful identification preictal, seizure-prone state. Identification preictal states in continuous long- duration intracranial electroencephalographic (iEEG) recordings dogs with naturally occurring was investigated using support vector machine (SVM) algorithm. The studied were...
The need for sharing and analyzing large-scale data sets in scientific research has increased significantly over the last decade. Despite multiple efforts, there is currently no single platform that widely used to search for, share, perform custom analysis large numbers of TB-scale datasets using cloud technologies. We present a cloud-based portal integration/access fulfill this need. IEEG-Portal being developed as means share collaborate on projects containing EEG datasets. It contains 75...
Functional electrical stimulation (FES) approaches often utilize an open-loop controller to drive state transitions. The addition of sensory feedback may allow for closed-loop control that can respond effectively perturbations and muscle fatigue.We evaluated the use natural nerve signals obtained with penetrating microelectrode arrays in lumbar dorsal root ganglia (DRG) as real-time FES-generated hind limb stepping anesthetized cats.Leg position was near at 50 ms intervals by decoding firing...
Summary Objective Brain regions are localized for resection during epilepsy surgery based on rare seizures observed a short period of intracranial electroencephalography ( iEEG ) monitoring. Interictal epileptiform bursts, which more prevalent than seizures, may provide complementary information to aid in evaluation. In this study, we leverage long‐term dataset from canines with naturally occurring investigate interictal bursts and their electrographic relationship seizures. Methods Four...
The Data and Resource Center (DRC) of the NIH-funded SPARC program is developing databases, connectivity maps, simulation tools for mammalian autonomic nervous system. experimental data mathematical models supplied to DRC by consortium are curated, annotated semantically linked via a single knowledgebase. A portal has been developed that allows discovery both semantic search an interface includes Google Map-like 2D flatmaps displaying connectivity, 3D anatomical organ scaffolds provide...
Muscle, cutaneous and joint afferents continuously signal information about the position movement of individual joints. How does nervous system extract more global information, for example foot in space? To study this question we used microelectrode arrays to record impulses simultaneously from up 100 discriminable nerve cells L6 L7 dorsal root ganglia (DRG) anaesthetized cat. When hindlimb was displaced passively with a random trajectory, firing rate neurones could be predicted linear sum...
The annual Deep Brain Stimulation (DBS) Think Tank aims to create an opportunity for a multidisciplinary discussion in the field of neuromodulation examine developments, opportunities and challenges field. proceedings Sixth Annual recapitulate progress applications neurotechnology, neurophysiology emerging techniques treatment range psychiatric neurological conditions including Parkinson's disease, essential tremor, Tourette syndrome, epilepsy, cognitive disorders, addiction. Each section...
Summary Objective Visualizing implanted subdural electrodes in three‐dimensional (3D) space can greatly aid planning, executing, and validating resection epilepsy surgery. Coregistration software is available, but cost, complexity, insufficient accuracy, or validation limit adoption. We present a fully automated open‐source application, based on novel method using postimplant computerized tomography ( CT) magnetic resonance MR) images, for accurately visualizing intracranial 3D space....
Recent advances in cytometry have enabled high-throughput data collection with multiple single-cell protein expression measurements. The significant biological and technical variance has posed a formidable challenge during the gating process, especially for initial pre-gates which deal unpredictable events, such as debris artifacts. To mitigate labor-intensive manual we propose UNITO, framework to rigorously identify hierarchical cytometric subpopulations. UNITO transforms cell-level...
Summary Objective Epilepsy is a chronic disorder, but seizure recordings are usually obtained in the acute setting. The behavior of seizures and interictal bursts that sometimes initiate them unknown. We investigate variability these electrographic patterns over an extended period time using intracranial canine epilepsy. Methods Continuous, yearlong electroencephalography (i EEG ) from four dogs with naturally occurring epilepsy were analyzed for bursts. Following automated detection...
Summary Electroencephalography ( EEG ) is commonly used in epilepsy and neuroscience research to study brain activity. The principles of recording such as signal acquisition, digitization, conditioning share similarities between animal clinical systems. In contrast, preclinical studies demonstrate more variability diversity than the types locations electrodes, methods data analysis, scoring patterns associated behaviors. TASK 3 working group International League Against Epilepsy/American...
Kinematic state feedback is important for neuroprostheses to generate stable and adaptive movements of an extremity.State information, represented in the firing rates populations primary afferent neurons, can be recorded at level dorsal root ganglia (DRG).Previous work cats showed feasibility using DRG recordings predict kinematic hind limb reverse regression.Although accurate decoding results were attained, regression does not make efficient use information embedded neural population.In...
The Restoring Joint Health and Function to Reduce Pain (RE-JOIN) Consortium is part of the Helping End Addiction Long-term® (HEAL) Initiative. HEAL an ambitious, NIH-wide initiative speed scientific solutions stem national opioid public health crisis. RE-JOIN consortium's over-arching goal define how chronic joint pain-mediating neurons innervate different articular
Objective. Current mapping of epileptic networks in patients prior to epilepsy surgery utilizes electrode arrays with sparse spatial sampling (∼1.0 cm inter-electrode spacing). Recent research demonstrates that sub-millimeter, cortical-column-scale domains have a role seizure generation may be clinically significant. We use high-resolution, active, flexible surface 500 μm spacing explore epileptiform local field potential (LFP) spike propagation patterns two dimensions recorded from subdural...
New approaches are needed to interpret large amounts of physiologic data continuously recorded in the ICU. We developed and prospectively validated a versatile platform (IRIS) for real-time ICU monitoring, clinical decision making, caretaker notification.IRIS was implemented neurointensive care unit stream multimodal time series data, including EEG, intracranial pressure (ICP), brain tissue oxygenation (PbtO2), from monitors an analysis server. IRIS applied 364 patients undergoing continuous...
The study characterises vascular phenotypes of hypertensive patients utilising machine learning approaches. Newly diagnosed and treatment-naïve primary without co-morbidities (aged 18-55, n = 73), matched normotensive controls (n 79) were recruited (NCT04015635). Blood pressure (BP) BP variability determined using 24 h ambulatory monitoring. Vascular phenotyping included SphygmoCor® measurement pulse wave velocity (PWV), analysis-derived augmentation index (PWA-AIx), central BP;...