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Graph theory in paediatric epilepsy: A systematic review
Graph theoretical studies have been designed to investigate network topologies during life. Network science and graph theory methods may contribute to a better understanding of brain function, both normal and abnormal, throughout developmental stages. The degree to which childhood epilepsies exert a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286734/ https://www.ncbi.nlm.nih.gov/pubmed/35860177 http://dx.doi.org/10.1080/19585969.2022.2043128 |
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author | Falsaperla, Raffaele Vitaliti, Giovanna Marino, Simona Domenica Praticò, Andrea Domenico Mailo, Janette Spatuzza, Michela Cilio, Maria Roberta Foti, Rosario Ruggieri, Martino |
author_facet | Falsaperla, Raffaele Vitaliti, Giovanna Marino, Simona Domenica Praticò, Andrea Domenico Mailo, Janette Spatuzza, Michela Cilio, Maria Roberta Foti, Rosario Ruggieri, Martino |
author_sort | Falsaperla, Raffaele |
collection | PubMed |
description | Graph theoretical studies have been designed to investigate network topologies during life. Network science and graph theory methods may contribute to a better understanding of brain function, both normal and abnormal, throughout developmental stages. The degree to which childhood epilepsies exert a significant effect on brain network organisation and cognition remains unclear. The hypothesis suggests that the formation of abnormal networks associated with epileptogenesis early in life causes a disruption in normal brain network development and cognition, reflecting abnormalities in later life. Neurological diseases with onset during critical stages of brain maturation, including childhood epilepsy, may threaten this orderly neurodevelopmental process. According to the hypothesis that the formation of abnormal networks associated with epileptogenesis in early life causes a disruption in normal brain network development, it is then mandatory to perform a proper examination of children with new-onset epilepsy early in the disease course and a deep study of their brain network organisation over time. In regards, graph theoretical analysis could add more information. In order to facilitate further development of graph theory in childhood, we performed a systematic review to describe its application in functional dynamic connectivity using electroencephalographic (EEG) analysis, focussing on paediatric epilepsy. |
format | Online Article Text |
id | pubmed-9286734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-92867342022-07-19 Graph theory in paediatric epilepsy: A systematic review Falsaperla, Raffaele Vitaliti, Giovanna Marino, Simona Domenica Praticò, Andrea Domenico Mailo, Janette Spatuzza, Michela Cilio, Maria Roberta Foti, Rosario Ruggieri, Martino Dialogues Clin Neurosci Review Graph theoretical studies have been designed to investigate network topologies during life. Network science and graph theory methods may contribute to a better understanding of brain function, both normal and abnormal, throughout developmental stages. The degree to which childhood epilepsies exert a significant effect on brain network organisation and cognition remains unclear. The hypothesis suggests that the formation of abnormal networks associated with epileptogenesis early in life causes a disruption in normal brain network development and cognition, reflecting abnormalities in later life. Neurological diseases with onset during critical stages of brain maturation, including childhood epilepsy, may threaten this orderly neurodevelopmental process. According to the hypothesis that the formation of abnormal networks associated with epileptogenesis in early life causes a disruption in normal brain network development, it is then mandatory to perform a proper examination of children with new-onset epilepsy early in the disease course and a deep study of their brain network organisation over time. In regards, graph theoretical analysis could add more information. In order to facilitate further development of graph theory in childhood, we performed a systematic review to describe its application in functional dynamic connectivity using electroencephalographic (EEG) analysis, focussing on paediatric epilepsy. Taylor & Francis 2022-06-01 /pmc/articles/PMC9286734/ /pubmed/35860177 http://dx.doi.org/10.1080/19585969.2022.2043128 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Falsaperla, Raffaele Vitaliti, Giovanna Marino, Simona Domenica Praticò, Andrea Domenico Mailo, Janette Spatuzza, Michela Cilio, Maria Roberta Foti, Rosario Ruggieri, Martino Graph theory in paediatric epilepsy: A systematic review |
title | Graph theory in paediatric epilepsy: A systematic review |
title_full | Graph theory in paediatric epilepsy: A systematic review |
title_fullStr | Graph theory in paediatric epilepsy: A systematic review |
title_full_unstemmed | Graph theory in paediatric epilepsy: A systematic review |
title_short | Graph theory in paediatric epilepsy: A systematic review |
title_sort | graph theory in paediatric epilepsy: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286734/ https://www.ncbi.nlm.nih.gov/pubmed/35860177 http://dx.doi.org/10.1080/19585969.2022.2043128 |
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