Functional isolation within the cerebral cortex in the vegetative state: a nonlinear method to predict clinical outcomes.

Abstract

BACKGROUND Establishing prognosis in patients in a persistent vegetative state (VS) is still challenging. Neural networks underlying consciousness may be regarded as complex systems whose outputs show a degree of unpredictability experimentally quantifiable by means of nonlinear parameters such as approximate entropy (ApEn). OBJECTIVE The authors propose… (More)
DOI: 10.1177/1545968310378508

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