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A Learning Set Up for Detecting Minimally Conscious State (MCS)

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Detecting signs of learning in persons diagnosed to be in a post-coma vegetative state and minimally conscious state (MCS) may modify their diagnosis. We report the case of a 65-year-old female in a vegetative state. We used microswitch-based technology that is based on patient response to eye-blinking. We followed an ABABCB design,in which A represented baseline periods, B intervention periods with stimuli contingent on the responses, and C a control condition with stimuli presented non-contingently. We observed the level of response during the B phases was higher than the level of A and C phases. Th is indicated the patient showed signs of learning. Th is state was confi rmed by an evaluation through the Coma Recovery Scale-Revised (CRSR) score, and after completion of this study her CRSR score changed from 4 to 10. We believe microswitch technology may be useful to make a diagnosis of MCS and off er new opportunities for education to MCS patients.

Abstract

Detecting signs of learning in persons diagnosed to be in a post-coma vegetative state and minimally conscious state (MCS) may modify their diagnosis. We report the case of a 65-year-old female in a vegetative state. We used microswitch-based technology that is based on patient response to eye-blinking. We followed an ABABCB design,in which A represented baseline periods, B intervention periods with stimuli contingent on the responses, and C a control condition with stimuli presented non-contingently. We observed the level of response during the B phases was higher than the level of A and C phases. Th is indicated the patient showed signs of learning. Th is state was confi rmed by an evaluation through the Coma Recovery Scale-Revised (CRSR) score, and after completion of this study her CRSR score changed from 4 to 10. We believe microswitch technology may be useful to make a diagnosis of MCS and off er new opportunities for education to MCS patients.

참고문헌 (9)

  1. Giacino JT, "The minimally conscious state: definition and diagnostic criteria", Neurology, 58, pp.349~353 (2002)
  2. Schnakers C, "Diagnostic accuracy of the vegetative and minimally conscious state: clinical consensus versus standardized neurobehavioral assessment", BMC Neurology, 9, pp.35~ (2009)
  3. Lancione GE, "A learning setup for a post-coma adolescent with profound multiple disabilities involving small forehead movements and new microswitch technology", Disabil Rehabil Assist Technol, 2, pp.293~297 (2007)
  4. Giulio E, "Learning in postcoma persons with profound multiple disabilities: two case evaluations", J Dev Phys Disabil, 20, pp.209~216 (2008)
  5. Giacino JT, "The JFK Coma Recovery Scale-Revised: measurement characteristics and diagnositic utility", Arch Phys Med Rehabil, 85, pp.2020~2029 (2004)
  6. Andrews K, "Misdiagnosis of the vegetative state: retrospective study in a rehabilitation unit", BMJ, 313, pp.13~16 (1996)
  7. Luaute J, "Long-term outcomes of chronic minimally conscious and vegetative states", Neurology, 75, pp.246~252 (2010)
  8. Giolio E, "A new microswitch to enable a boy with minimal motor behavior to control environmental stimulation with eye blinks", Behav Intervent, 20, pp.147~153 (2005)
  9. Tota A, "Evaluating the applicability of optic microswitches for eyelid responses in students with profound multiple disabilities", Disabil Rehabil Assist Technol, 1, pp.217~223 (2006)

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