Sleep physiological network analysis in children
Objective: Physiological networks have recently been employed as an alternative to analyze the interaction of the human body. Within this option, different systems are analyzed as nodes inside a communication network as well how information fows. Several studies have been proposed to study sleep sub...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Thieme Revinter Publicações Ltda.
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| Series: | Sleep Science |
| Subjects: | |
| Online Access: | https://cdn.publisher.gn1.link/sleepscience.org.br/pdf/v15nspea28.pdf |
| _version_ | 1797370485597536256 |
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| author | Alvaro David Orjuela-Cañón Andrés Leonardo Jutinico Maria Angelica Bazurto-Zapata Elida Duenas-Meza |
| author_facet | Alvaro David Orjuela-Cañón Andrés Leonardo Jutinico Maria Angelica Bazurto-Zapata Elida Duenas-Meza |
| author_sort | Alvaro David Orjuela-Cañón |
| collection | DOAJ |
| description | Objective: Physiological networks have recently been employed as an alternative to analyze the interaction of the human body. Within this option, different systems are analyzed as nodes inside a communication network as well how information fows. Several studies have been proposed to study sleep subjects with the help of the Granger causality computation over electroencephalographic and heart rate variability signals. However, following this methodology, novel approximations for children subjects are presented here, where comparison between adult and children sleep is followed through the obtained connectivities.
Methods: Data from ten adults and children were retrospectively extracted from polysomnography records. Database was extracted from people suspected of having sleep disorders who participated in a previous study. Connectivity was computed based on Granger causality, according to preprocessing of similar studies in this feld. A comparison for adults and children groups with a chi-square test was followed, employing the results of the Granger causality measures.
Results: Results show that differences were mainly established for nodes inside the brain network connectivity. Additionally, for interactions between brain and heart networks, it was brought to light that children physiology sends more information from heart to brain nodes compared to the adults group.
Discussion: This study represents a frst sight to children sleep analysis, employing the Granger causality computation. It contributes to understand sleep in children employing measurements from physiological signals. Preliminary fndings suggest more interactions inside the brain network for children group compared to adults group. |
| first_indexed | 2024-03-08T18:02:15Z |
| format | Article |
| id | doaj.art-419158a7a8c74048914df0e13e4fc6df |
| institution | Directory Open Access Journal |
| issn | 1984-0659 1984-0063 |
| language | English |
| last_indexed | 2024-03-08T18:02:15Z |
| publisher | Thieme Revinter Publicações Ltda. |
| record_format | Article |
| series | Sleep Science |
| spelling | doaj.art-419158a7a8c74048914df0e13e4fc6df2024-01-02T00:08:41ZengThieme Revinter Publicações Ltda.Sleep Science1984-06591984-006315Special1215223002810.5935/1984-0063.20220022Sleep physiological network analysis in childrenAlvaro David Orjuela-Cañón0Andrés Leonardo Jutinico1Maria Angelica Bazurto-Zapata2Elida Duenas-Meza3Universidad del Rosario, School of Medicine and Health Sciences - Bogota D.C. - Bogota D.C. - Colombia.Universidad Antonio Nariño, Facultad de Ingeniería Mecánica, Electrónica y Biomédica - Bogota D.C. - Bogota D.C. -Colombia.Fundación Neumológica Colombiana, Laboratorio del Sueño - Bogota D.C. -Bogota D.C. - Colombia.Fundación Neumológica Colombiana, Laboratorio del Sueño - Bogota D.C. -Bogota D.C. - Colombia.Objective: Physiological networks have recently been employed as an alternative to analyze the interaction of the human body. Within this option, different systems are analyzed as nodes inside a communication network as well how information fows. Several studies have been proposed to study sleep subjects with the help of the Granger causality computation over electroencephalographic and heart rate variability signals. However, following this methodology, novel approximations for children subjects are presented here, where comparison between adult and children sleep is followed through the obtained connectivities. Methods: Data from ten adults and children were retrospectively extracted from polysomnography records. Database was extracted from people suspected of having sleep disorders who participated in a previous study. Connectivity was computed based on Granger causality, according to preprocessing of similar studies in this feld. A comparison for adults and children groups with a chi-square test was followed, employing the results of the Granger causality measures. Results: Results show that differences were mainly established for nodes inside the brain network connectivity. Additionally, for interactions between brain and heart networks, it was brought to light that children physiology sends more information from heart to brain nodes compared to the adults group. Discussion: This study represents a frst sight to children sleep analysis, employing the Granger causality computation. It contributes to understand sleep in children employing measurements from physiological signals. Preliminary fndings suggest more interactions inside the brain network for children group compared to adults group.https://cdn.publisher.gn1.link/sleepscience.org.br/pdf/v15nspea28.pdfgranger causalitypolysomnographybrain-heart connectivityphysiological networksheart rate variabilityelectroencephalography |
| spellingShingle | Alvaro David Orjuela-Cañón Andrés Leonardo Jutinico Maria Angelica Bazurto-Zapata Elida Duenas-Meza Sleep physiological network analysis in children Sleep Science granger causality polysomnography brain-heart connectivity physiological networks heart rate variability electroencephalography |
| title | Sleep physiological network analysis in children |
| title_full | Sleep physiological network analysis in children |
| title_fullStr | Sleep physiological network analysis in children |
| title_full_unstemmed | Sleep physiological network analysis in children |
| title_short | Sleep physiological network analysis in children |
| title_sort | sleep physiological network analysis in children |
| topic | granger causality polysomnography brain-heart connectivity physiological networks heart rate variability electroencephalography |
| url | https://cdn.publisher.gn1.link/sleepscience.org.br/pdf/v15nspea28.pdf |
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