Affiliation: University of Pennsylvania
- Seizure prediction and the preseizure periodBrian Litt
Department of Neurology, Hospital of the University of Philadelphia, Philadelphia, Pennsylvania 19104, USA
Curr Opin Neurol 15:173-7. 2002..The notion of a preseizure state is catalyzing new clinical and basic science research, which has the potential to dramatically increase our understanding of epilepsy, and to generate exciting new therapies for patients...
- Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivoJonathan Viventi
Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, New York, USA
Nat Neurosci 14:1599-605. 2011..We found that seizures may manifest as recurrent spiral waves that propagate in the neocortex. The developments reported here herald a new generation of diagnostic and therapeutic brain-machine interface devices...
- Epileptic seizures may begin hours in advance of clinical onset: a report of five patientsB Litt
Department of Neurology and Bioengineering, 3 West Gates, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
Neuron 30:51-64. 2001....
- Evaluating devices for treating epilepsyBrian Litt
Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
Epilepsia 44:30-7. 2003....
- Prediction of epileptic seizuresBrian Litt
Department of Neurology, University of Pennsylvania and the Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
Lancet Neurol 1:22-30. 2002..Their clinical efficacy must be validated in large-scale, prospective, controlled trials...
- Technology insight: neuroengineering and epilepsy-designing devices for seizure controlWilliam C Stacey
Departments of Epilepsy and Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
Nat Clin Pract Neurol 4:190-201. 2008..The initial results with these technologies are exciting, but considerable development and controlled clinical trials will be required before these treatments earn a place in our standard of clinical care...
- Synaptic noise and physiological coupling generate high-frequency oscillations in a hippocampal computational modelWilliam C Stacey
1Department of Bioengineering, University of Pennsylvania, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania 19194, USA
J Neurophysiol 102:2342-57. 2009..We propose that increased synaptic noise and physiological coupling mechanisms are sufficient to generate gamma oscillations and that pathologic changes in noise and coupling similar to those in epilepsy can produce abnormal ripples...
- Unsupervised classification of high-frequency oscillations in human neocortical epilepsy and control patientsJustin A Blanco
University of Pennsylvania, Department of Bioengineering, Philadelphia PA 19104, USA
J Neurophysiol 104:2900-12. 2010....
- Time-frequency spectral estimation of multichannel EEG using the Auto-SLEX methodStephen D Cranstoun
Department of Bioengineering, University of Pennsylvania, Philadelphia 19104, USA
IEEE Trans Biomed Eng 49:988-96. 2002..This analysis reveals a reduction in average duration of stationarity in preseizure epochs of data compared to baseline. These changes begin up to hours prior to electrical seizure onset in this patient...
- Long-range temporal correlations in epileptogenic and non-epileptogenic human hippocampusL M Parish
Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
Neuroscience 125:1069-76. 2004..We briefly discuss possible neurobiological mechanisms for LRTC of the energy fluctuations in hippocampus...
- A stochastic framework for evaluating seizure prediction algorithms using hidden Markov modelsStephen Wong
Department of Neurology, 2 Ravdin Penn Epilepsy Center, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104, USA
J Neurophysiol 97:2525-32. 2007..We propose this framework as a vital tool for designing and validating prediction algorithms and for facilitating collaborative research in this area...
- A multi-feature and multi-channel univariate selection process for seizure predictionMaryann D'Alessandro
Department of Bioengineering, University of Pennsylvania, 747 West Madison Circle, Pittsburgh, Philadelphia, PA 15229, USA
Clin Neurophysiol 116:506-16. 2005..To develop a prospective method for optimizing seizure prediction, given an array of implanted electrodes and a set of candidate quantitative features computed at each contact location...
- Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurementD F Wulsin
Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
J Neural Eng 8:036015. 2011..These results indicate that DBNs and raw data inputs may be more effective for online automated EEG waveform recognition than other common techniques...
- Evidence for self-organized criticality in human epileptic hippocampusGregory A Worrell
Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
Neuroreport 13:2017-21. 2002..The presence of SOC in human epileptic hippocampus may provide a method for identifying the network involved in seizure generation...
- Electrical stimulation of the anterior nucleus of the thalamus for the treatment of intractable epilepsyJohn F Kerrigan
Department of Neurology, Barrow Neurological Institute, St Joseph s Hospital and Medical Center, Phoenix, Arizona, USA
Epilepsia 45:346-54. 2004....
- Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordingsAndrew B Gardner
Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
Clin Neurophysiol 118:1134-43. 2007..Automated tools are required to characterize these events. We present a new algorithm tuned to detect HFOs from 30 to 85 Hz, and validate it against human expert electroencephalographers...
- Repetitive transcranial magnetic stimulation does not replicate the Wada testC M Epstein
Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
Neurology 55:1025-7. 2000..Postoperative language deficits were more consistent with Wada results. Available methods for inducing speech arrest with rTMS do not replicate the results of Wada tests...
- Microseizures and the spatiotemporal scales of human partial epilepsyMatt Stead
Department of Neurology, Mayo Systems Electrophysiology Laboratory, Mayo Clinic, 200 First Street SW, Rochester, MN 55901, USA
Brain 133:2789-97. 2010..Epileptogenesis may involve the creation of these topographically fractured microdomains and ictogenesis (seizure generation), the dynamics of their interaction and spread...
- Interictal EEG spikes identify the region of electrographic seizure onset in some, but not all, pediatric epilepsy patientsEric D Marsh
Division of Child Neurology, Department of Neurology and Pediatrics, Children s Hospital of Philadelphia, The University of Pennsylvania, Philadelphia, PA 19104, USA
Epilepsia 51:592-601. 2010..Indeed, past studies suggest an inconsistent relationship between IED and seizure-onset location, although these studies were based upon relatively short EEG epochs...
- Right-lateralized brain oscillations in human spatial navigationJoshua Jacobs
Department of Psychology, University of Pennsylvania, 3401 Walnut Street, Philadelphia, PA 19104, USA
J Cogn Neurosci 22:824-36. 2010..Thus, our results indicate that gamma oscillations in the right neocortex play a special role in human spatial navigation...
- High-frequency oscillations in human temporal lobe: simultaneous microwire and clinical macroelectrode recordingsGreg A Worrell
Department of Neurology, Mayo Clinic, 200 First St SW, Rochester, MN 55901, USA
Brain 131:928-37. 2008..Future research will address the clinical utility of these recordings for localizing epileptogenic networks and understanding seizure generation...
- Gamma oscillations distinguish true from false memoriesPer B Sederberg
University of Pennsylvania, Philadelphia, PA 19104, USA
Psychol Sci 18:927-32. 2007..Thus, retrieval of true, as compared with false, memories induces a distinct pattern of gamma oscillations, possibly reflecting recollection of contextual information associated with past experience...
- High-frequency oscillations and seizure generation in neocortical epilepsyGreg A Worrell
Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, USA
Brain 127:1496-506. 2004..It may prove that many currently available clinical EEG systems and EEG analysis methods utilize a dynamic range that discards clinically important information...
- Deep brain stimulation for epilepsyCasey H Halpern
Department of Neurosurgery, Center for Functional and Restorative Neurosurgery, University of Pennsylvania Medical Center, Philadelphia, Pennsylvania 19104, USA
Neurotherapeutics 5:59-67. 2008..Future study is necessary to identify a patient population for whom this technique would be indicated, the most efficacious target, and optimal stimulation parameters...
- A conformal, bio-interfaced class of silicon electronics for mapping cardiac electrophysiologyJonathan Viventi
Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA
Sci Transl Med 2:24ra22. 2010..This demonstration is one example of many possible uses of this technology in minimally invasive medical devices...
- Continuous energy variation during the seizure cycle: towards an on-line accumulated energyRosana Esteller
NeuroPace, Inc, 1375 Shorebird Way, Mountain View, CA 94043, USA
Clin Neurophysiol 116:517-26. 2005..In this study, we attempt to remove these constraints by using a continuously adapting energy threshold, and to identify stereotyped energy variations through the seizure cycle (inter-, pre-, post- and ictal periods)...
- The First International Collaborative Workshop on Seizure Prediction: summary and data descriptionKlaus Lehnertz
Department of Epileptology, University of Bonn, Sigmund Freud Street 25, 53105 Bonn, Germany
Clin Neurophysiol 116:493-505. 2005..Participants in the workshop are listed at the end of the Conclusions section, in alphabetical order...
- High-frequency oscillations detected in epileptic networks using swarmed neural-network featuresHiram Firpi
Department of Electrical and Computer Engineering, Georgia Institute of Technology, 777 Atlantic Dr, Atlanta, GA 30332 0250, USA
Ann Biomed Eng 35:1573-84. 2007..We demonstrate the algorithm's performance on IEEG data from six patients, one pediatric and five adult, and compare it to an existing method for detecting high-frequency oscillations...
- Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patientsMaryann D'Alessandro
Department of Electrical and Computer En gineering, Georgia Institute of Technology, Atlanta, GA 30332 USA
IEEE Trans Biomed Eng 50:603-15. 2003..Given the heterogeneity of epilepsy, it is likely that methods of this type will be required to configure intelligent devices for treating epilepsy to each individual's neurophysiology prior to clinical deployment...
- Detection of seizure precursors from depth-EEG using a sign periodogram transformJoël J Niederhauser
Department of Electrical Engineering, Swiss Federal Institute of Technology ETH, 8092 Zurich, Switzerland
IEEE Trans Biomed Eng 50:449-58. 2003..The JSPECT method efficiently detects these events, and may be useful as part of an automated system for predicting electrical seizure onset in appropriate patients...
- Temporal lobe epilepsy after experimental prolonged febrile seizures: prospective analysisCeline Dube
Department of Anatomy Neurobiology, University of California, Irvine, CA 92697 4475, USA
Brain 129:911-22. 2006....
- Of seizure prediction, statistics, and dogs: a cautionary tailBrian Litt
Neurology 68:250-1. 2007
- Evolution of seizure precursors in refactory epilepsyBrian Litt; Fiscal Year: 2008....