Shinung Ching

Summary

Affiliation: Massachusetts Institute of Technology
Country: USA

Publications

  1. ncbi request reprint Distributed control in a mean-field cortical network model: implications for seizure suppression
    Shinung Ching
    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 86:021920. 2012
  2. pmc Real-time closed-loop control in a rodent model of medically induced coma using burst suppression
    Shinung Ching
    Research Fellow, Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts Research Fellow, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts Research Affiliate, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts Research Assistant, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital Instructor, Department of Neurology, Harvard Medical School Assistant in Neurology, Department of Neurology, Massachusetts General Hospital Assistant Professor, Department of Anaesthesia, Harvard Medical School Assistant Anesthetist, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital Research Affiliate, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology Instructor, Department of Anaesthesia, Harvard Medical School Instructor, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital Research Affiliate, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology Warren M Zapol Professor of Anaesthesia, Department of Anaesthesia, Harvard Medical School Anesthetist, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital Professor of Computational Neuroscience
    Anesthesiology 119:848-60. 2013
  3. pmc Burst suppression probability algorithms: state-space methods for tracking EEG burst suppression
    Jessica Chemali
    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
    J Neural Eng 10:056017. 2013
  4. pmc Real-time segmentation of burst suppression patterns in critical care EEG monitoring
    M Brandon Westover
    Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
    J Neurosci Methods 219:131-41. 2013
  5. pmc Thalamocortical mechanisms for the anteriorization of α rhythms during propofol-induced unconsciousness
    Sujith Vijayan
    Department of Mathematics and Statistics, Boston University, Boston, Massachusetts 02215, USA
    J Neurosci 33:11070-5. 2013

Detail Information

Publications5

  1. ncbi request reprint Distributed control in a mean-field cortical network model: implications for seizure suppression
    Shinung Ching
    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 86:021920. 2012
    ..By introducing a mean-field model of neuronal interactions we are able to identify limitations in network controllability based on physiological constraints that suggest the need for more nuanced network control strategies...
  2. pmc Real-time closed-loop control in a rodent model of medically induced coma using burst suppression
    Shinung Ching
    Research Fellow, Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts Research Fellow, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts Research Affiliate, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts Research Assistant, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital Instructor, Department of Neurology, Harvard Medical School Assistant in Neurology, Department of Neurology, Massachusetts General Hospital Assistant Professor, Department of Anaesthesia, Harvard Medical School Assistant Anesthetist, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital Research Affiliate, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology Instructor, Department of Anaesthesia, Harvard Medical School Instructor, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital Research Affiliate, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology Warren M Zapol Professor of Anaesthesia, Department of Anaesthesia, Harvard Medical School Anesthetist, Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital Professor of Computational Neuroscience
    Anesthesiology 119:848-60. 2013
    ..The authors hypothesized that a closed-loop anesthetic delivery system could automatically and precisely control the electroencephalogram state of burst suppression and efficiently maintain a medically induced coma...
  3. pmc Burst suppression probability algorithms: state-space methods for tracking EEG burst suppression
    Jessica Chemali
    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
    J Neural Eng 10:056017. 2013
    ....
  4. pmc Real-time segmentation of burst suppression patterns in critical care EEG monitoring
    M Brandon Westover
    Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
    J Neurosci Methods 219:131-41. 2013
    ..Develop a real-time algorithm to automatically discriminate suppressions from non-suppressions (bursts) in electroencephalograms of critically ill adult patients...
  5. pmc Thalamocortical mechanisms for the anteriorization of α rhythms during propofol-induced unconsciousness
    Sujith Vijayan
    Department of Mathematics and Statistics, Boston University, Boston, Massachusetts 02215, USA
    J Neurosci 33:11070-5. 2013
    ..Our model generalizes to other anesthetics that include GABA as a target, since the molecular targets of many such anesthetics alter the model dynamics in a manner similar to that of propofol. ..