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Compressibility of High-Density EEG Signals in Stroke Patients
Stroke is a critical event that causes the disruption of neural connections. There is increasing evidence that the brain tries to reorganize itself and to replace the damaged circuits, by establishing compensatory pathways. Intra- and extra-cellular currents are involved in the communication between...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308673/ https://www.ncbi.nlm.nih.gov/pubmed/30477168 http://dx.doi.org/10.3390/s18124107 |
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author | Mammone, Nadia De Salvo, Simona Ieracitano, Cosimo Marino, Silvia Cartella, Emanuele Bramanti, Alessia Giorgianni, Roberto Morabito, Francesco C. |
author_facet | Mammone, Nadia De Salvo, Simona Ieracitano, Cosimo Marino, Silvia Cartella, Emanuele Bramanti, Alessia Giorgianni, Roberto Morabito, Francesco C. |
author_sort | Mammone, Nadia |
collection | PubMed |
description | Stroke is a critical event that causes the disruption of neural connections. There is increasing evidence that the brain tries to reorganize itself and to replace the damaged circuits, by establishing compensatory pathways. Intra- and extra-cellular currents are involved in the communication between neurons and the macroscopic effects of such currents can be detected at the scalp through electroencephalographic (EEG) sensors. EEG can be used to study the lesions in the brain indirectly, by studying their effects on the brain electrical activity. The primary goal of the present work was to investigate possible asymmetries in the activity of the two hemispheres, in the case one of them is affected by a lesion due to stroke. In particular, the compressibility of High-Density-EEG (HD-EEG) recorded at the two hemispheres was investigated since the presence of the lesion is expected to impact on the regularity of EEG signals. The secondary objective was to evaluate if standard low density EEG is able to provide such information. Eighteen patients with unilateral stroke were recruited and underwent HD-EEG recording. Each EEG signal was compressively sensed, using Block Sparse Bayesian Learning, at increasing compression rate. The two hemispheres showed significant differences in the compressibility of EEG. Signals acquired at the electrode locations of the affected hemisphere showed a better reconstruction quality, quantified by the Structural SIMilarity index (SSIM), than the EEG signals recorded at the healthy hemisphere (p < 0.05), for each compression rate value. The presence of the lesion seems to induce an increased regularity in the electrical activity of the brain, thus an increased compressibility. |
format | Online Article Text |
id | pubmed-6308673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63086732019-01-04 Compressibility of High-Density EEG Signals in Stroke Patients Mammone, Nadia De Salvo, Simona Ieracitano, Cosimo Marino, Silvia Cartella, Emanuele Bramanti, Alessia Giorgianni, Roberto Morabito, Francesco C. Sensors (Basel) Article Stroke is a critical event that causes the disruption of neural connections. There is increasing evidence that the brain tries to reorganize itself and to replace the damaged circuits, by establishing compensatory pathways. Intra- and extra-cellular currents are involved in the communication between neurons and the macroscopic effects of such currents can be detected at the scalp through electroencephalographic (EEG) sensors. EEG can be used to study the lesions in the brain indirectly, by studying their effects on the brain electrical activity. The primary goal of the present work was to investigate possible asymmetries in the activity of the two hemispheres, in the case one of them is affected by a lesion due to stroke. In particular, the compressibility of High-Density-EEG (HD-EEG) recorded at the two hemispheres was investigated since the presence of the lesion is expected to impact on the regularity of EEG signals. The secondary objective was to evaluate if standard low density EEG is able to provide such information. Eighteen patients with unilateral stroke were recruited and underwent HD-EEG recording. Each EEG signal was compressively sensed, using Block Sparse Bayesian Learning, at increasing compression rate. The two hemispheres showed significant differences in the compressibility of EEG. Signals acquired at the electrode locations of the affected hemisphere showed a better reconstruction quality, quantified by the Structural SIMilarity index (SSIM), than the EEG signals recorded at the healthy hemisphere (p < 0.05), for each compression rate value. The presence of the lesion seems to induce an increased regularity in the electrical activity of the brain, thus an increased compressibility. MDPI 2018-11-23 /pmc/articles/PMC6308673/ /pubmed/30477168 http://dx.doi.org/10.3390/s18124107 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mammone, Nadia De Salvo, Simona Ieracitano, Cosimo Marino, Silvia Cartella, Emanuele Bramanti, Alessia Giorgianni, Roberto Morabito, Francesco C. Compressibility of High-Density EEG Signals in Stroke Patients |
title | Compressibility of High-Density EEG Signals in Stroke Patients |
title_full | Compressibility of High-Density EEG Signals in Stroke Patients |
title_fullStr | Compressibility of High-Density EEG Signals in Stroke Patients |
title_full_unstemmed | Compressibility of High-Density EEG Signals in Stroke Patients |
title_short | Compressibility of High-Density EEG Signals in Stroke Patients |
title_sort | compressibility of high-density eeg signals in stroke patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308673/ https://www.ncbi.nlm.nih.gov/pubmed/30477168 http://dx.doi.org/10.3390/s18124107 |
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