| Autor: |
Piergiuseppe Liuzzi, Bahia Hakiki, Maenia Scarpino, Rachele Burali, Antonio Maiorelli, Francesca Draghi, Anna Maria Romoli, Antonello Grippo, Francesca Cecchi, Andrea Mannini |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of NeuroEngineering and Rehabilitation, Vol 20, Iss 1, Pp 1-12 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1743-0003 |
| DOI: |
10.1186/s12984-023-01216-6 |
| Popis: |
Abstract Detecting signs of residual neural activity in patients with altered states of consciousness is a crucial issue for the customization of neurorehabilitation treatments and clinical decision-making. With this large observational prospective study, we propose an innovative approach to detect residual signs of consciousness via the assessment of the amount of autonomic information coded within the brain. The latter was estimated by computing the mutual information (MI) between preprocessed EEG and ECG signals, to be then compared across consciousness groups, together with the absolute power and an international qualitative labeling. One-hundred seventy-four patients (73 females, 42%) were included in the study (median age of 65 years [IQR = 20], MCS +: 29, MCS −: 23, UWS: 29). Electroencephalography (EEG) information content was found to be mostly related to the coding of electrocardiography (ECG) activity, i.e., with higher MI (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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