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).
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | 35-42 |
| Numero di pagine | 8 |
| Rivista | Neurorehabilitation and Neural Repair |
| Volume | 25 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 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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