B Litt

Summary

Affiliation: University of Pennsylvania
Country: USA

Publications

  1. ncbi request reprint Seizure prediction and the preseizure period
    Brian Litt
    Department of Neurology, Hospital of the University of Philadelphia, Philadelphia, Pennsylvania 19104, USA
    Curr Opin Neurol 15:173-7. 2002
  2. pmc Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo
    Jonathan Viventi
    Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, New York, USA
    Nat Neurosci 14:1599-605. 2011
  3. ncbi request reprint Epileptic seizures may begin hours in advance of clinical onset: a report of five patients
    B 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
  4. ncbi request reprint Evaluating devices for treating epilepsy
    Brian Litt
    Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
    Epilepsia 44:30-7. 2003
  5. ncbi request reprint Prediction of epileptic seizures
    Brian 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
  6. pmc Technology insight: neuroengineering and epilepsy-designing devices for seizure control
    William C Stacey
    Departments of Epilepsy and Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
    Nat Clin Pract Neurol 4:190-201. 2008
  7. pmc Synaptic noise and physiological coupling generate high-frequency oscillations in a hippocampal computational model
    William C Stacey
    1Department of Bioengineering, University of Pennsylvania, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania 19194, USA
    J Neurophysiol 102:2342-57. 2009
  8. pmc Unsupervised classification of high-frequency oscillations in human neocortical epilepsy and control patients
    Justin A Blanco
    University of Pennsylvania, Department of Bioengineering, Philadelphia PA 19104, USA
    J Neurophysiol 104:2900-12. 2010
  9. ncbi request reprint Time-frequency spectral estimation of multichannel EEG using the Auto-SLEX method
    Stephen D Cranstoun
    Department of Bioengineering, University of Pennsylvania, Philadelphia 19104, USA
    IEEE Trans Biomed Eng 49:988-96. 2002
  10. ncbi request reprint Long-range temporal correlations in epileptogenic and non-epileptogenic human hippocampus
    L M Parish
    Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
    Neuroscience 125:1069-76. 2004

Research Grants

Collaborators

Detail Information

Publications32

  1. ncbi request reprint Seizure prediction and the preseizure period
    Brian 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...
  2. pmc Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo
    Jonathan 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...
  3. ncbi request reprint Epileptic seizures may begin hours in advance of clinical onset: a report of five patients
    B 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
    ....
  4. ncbi request reprint Evaluating devices for treating epilepsy
    Brian Litt
    Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
    Epilepsia 44:30-7. 2003
    ....
  5. ncbi request reprint Prediction of epileptic seizures
    Brian 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...
  6. pmc Technology insight: neuroengineering and epilepsy-designing devices for seizure control
    William 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...
  7. pmc Synaptic noise and physiological coupling generate high-frequency oscillations in a hippocampal computational model
    William 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...
  8. pmc Unsupervised classification of high-frequency oscillations in human neocortical epilepsy and control patients
    Justin A Blanco
    University of Pennsylvania, Department of Bioengineering, Philadelphia PA 19104, USA
    J Neurophysiol 104:2900-12. 2010
    ....
  9. ncbi request reprint Time-frequency spectral estimation of multichannel EEG using the Auto-SLEX method
    Stephen 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...
  10. ncbi request reprint Long-range temporal correlations in epileptogenic and non-epileptogenic human hippocampus
    L 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...
  11. pmc A stochastic framework for evaluating seizure prediction algorithms using hidden Markov models
    Stephen 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...
  12. ncbi request reprint A multi-feature and multi-channel univariate selection process for seizure prediction
    Maryann 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...
  13. pmc Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement
    D 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...
  14. ncbi request reprint Evidence for self-organized criticality in human epileptic hippocampus
    Gregory 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...
  15. ncbi request reprint Electrical stimulation of the anterior nucleus of the thalamus for the treatment of intractable epilepsy
    John F Kerrigan
    Department of Neurology, Barrow Neurological Institute, St Joseph s Hospital and Medical Center, Phoenix, Arizona, USA
    Epilepsia 45:346-54. 2004
    ....
  16. pmc Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordings
    Andrew 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...
  17. ncbi request reprint Repetitive transcranial magnetic stimulation does not replicate the Wada test
    C 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...
  18. pmc Microseizures and the spatiotemporal scales of human partial epilepsy
    Matt 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...
  19. pmc Interictal EEG spikes identify the region of electrographic seizure onset in some, but not all, pediatric epilepsy patients
    Eric 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...
  20. pmc Right-lateralized brain oscillations in human spatial navigation
    Joshua 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...
  21. pmc High-frequency oscillations in human temporal lobe: simultaneous microwire and clinical macroelectrode recordings
    Greg 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...
  22. pmc Gamma oscillations distinguish true from false memories
    Per 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...
  23. ncbi request reprint High-frequency oscillations and seizure generation in neocortical epilepsy
    Greg 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...
  24. pmc Deep brain stimulation for epilepsy
    Casey 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...
  25. pmc A conformal, bio-interfaced class of silicon electronics for mapping cardiac electrophysiology
    Jonathan 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...
  26. pmc Continuous energy variation during the seizure cycle: towards an on-line accumulated energy
    Rosana 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)...
  27. ncbi request reprint The First International Collaborative Workshop on Seizure Prediction: summary and data description
    Klaus 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...
  28. ncbi request reprint High-frequency oscillations detected in epileptic networks using swarmed neural-network features
    Hiram 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...
  29. ncbi request reprint Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patients
    Maryann 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...
  30. ncbi request reprint Detection of seizure precursors from depth-EEG using a sign periodogram transform
    Joël 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...
  31. pmc Temporal lobe epilepsy after experimental prolonged febrile seizures: prospective analysis
    Celine Dube
    Department of Anatomy Neurobiology, University of California, Irvine, CA 92697 4475, USA
    Brain 129:911-22. 2006
    ....
  32. ncbi request reprint Of seizure prediction, statistics, and dogs: a cautionary tail
    Brian Litt
    Neurology 68:250-1. 2007

Research Grants1