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

Paolo Maria Rossini, Marco Sarà, Francesca Pistoia, Patrizio Pasqualetti, Fabio Sebastiano, Paolo Onorati, Paolo M. Rossini

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

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).
Original languageEnglish
Pages (from-to)35-42
Number of pages8
JournalNEUROREHABILITATION AND NEURAL REPAIR
Volume25
DOIs
Publication statusPublished - 2011

Keywords

  • Adult
  • Algorithms
  • Brain Injuries
  • Cerebral Cortex
  • Electroencephalography
  • Entropy
  • Female
  • Follow-Up Studies
  • Glasgow Outcome Scale
  • Humans
  • Male
  • Middle Aged
  • Models, Statistical
  • Nonlinear Dynamics
  • Persistent Vegetative State
  • Predictive Value of Tests
  • Reproducibility of Results
  • Treatment Outcome

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