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. This indicated the patient showed signs of learning. This state was confirmed 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 offer new opportunities for education to MCS patients.
Subject(s)
Aged , Female , Humans , Coma , Learning , Persistent Vegetative StateABSTRACT
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. This indicated the patient showed signs of learning. This state was confirmed 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 offer new opportunities for education to MCS patients.