Anatomy Based Networks and Topology Alteration in Seizure-Related Cognitive Outcomes
Epilepsy is a paroxysmal neurological disorder characterized by recurrent and unprovoked seizures affecting approximately 50 million people worldwide. Cognitive dysfunction induced by seizures is a severe comorbidity of epilepsy and epilepsy syndromes and reduces patients' quality of life. Seiz...
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Published in | Frontiers in neuroanatomy Vol. 12; p. 25 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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06.04.2018
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Abstract | Epilepsy is a paroxysmal neurological disorder characterized by recurrent and unprovoked seizures affecting approximately 50 million people worldwide. Cognitive dysfunction induced by seizures is a severe comorbidity of epilepsy and epilepsy syndromes and reduces patients' quality of life. Seizures, along with accompanying histopathological and pathophysiological changes, are associated with cognitive comorbidities. Advances in imaging technology and computing allow anatomical and topological changes in neural networks to be visualized. Anatomical components including the hippocampus, amygdala, cortex, corpus callosum (CC), cerebellum and white matter (WM) are the fundamental components of seizure- and cognition-related topological networks. Damage to these structures and their substructures results in worsening of epilepsy symptoms and cognitive dysfunction. In this review article, we survey structural, network changes and topological alteration in different regions of the brain and in different epilepsy and epileptic syndromes, and discuss what these changes may mean for cognitive outcomes related to these disease states. |
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AbstractList | Epilepsy is a paroxysmal neurological disorder characterized by recurrent and unprovoked seizures affecting approximately 50 million people worldwide. Cognitive dysfunction induced by seizures is a severe comorbidity of epilepsy and epilepsy syndromes and reduces patients’ quality of life. Seizures, along with accompanying histopathological and pathophysiological changes, are associated with cognitive comorbidities. Advances in imaging technology and computing allow anatomical and topological changes in neural networks to be visualized. Anatomical components including the hippocampus, amygdala, cortex, corpus callosum (CC), cerebellum and white matter (WM) are the fundamental components of seizure- and cognition-related topological networks. Damage to these structures and their substructures results in worsening of epilepsy symptoms and cognitive dysfunction. In this review article, we survey structural, network changes and topological alteration in different regions of the brain and in different epilepsy and epileptic syndromes, and discuss what these changes may mean for cognitive outcomes related to these disease states. Epilepsy is a paroxysmal neurological disorder characterized by recurrent and unprovoked seizures affecting approximately 50 million people worldwide. Cognitive dysfunction induced by seizures is a severe comorbidity of epilepsy and epilepsy syndromes and reduces patients’ quality of life. Seizures, along with accompanying histopathological and pathophysiological changes, are associated with cognitive comorbidities. Advances in imaging technology and computing allow anatomical and topological changes in neural networks to be visualized. Anatomical components including the hippocampus, amygdala, cortex, corpus callosum, cerebellum and white matter are the fundamental components of seizure- and cognition-related topological networks. Damage to these structures and their substructures results in worsening of epilepsy symptoms and cognitive dysfunction. In this review, we survey structural, network changes and topological alteration in different regions of the brain and in different epilepsy and epileptic syndromes, and discuss what these changes may mean for cognitive outcomes related to these disease states. |
Author | Zhao, Charlie W Long, Zhe Wu, Qian Xiao, Bo Feng, Li |
AuthorAffiliation | 3 Sydney Medical School and the Brain & Mind Institute, The University of Sydney , Camperdown, NSW , Australia 1 Department of Neurology, First Affiliated Hospital, Kunming Medical University , Kunming , China 4 Department of Neurology, Xiangya Hospital, Central South University , Changsha , China 2 Department of Neuroscience, Yale School of Medicine, Yale University , New Haven, CT , United States |
AuthorAffiliation_xml | – name: 3 Sydney Medical School and the Brain & Mind Institute, The University of Sydney , Camperdown, NSW , Australia – name: 2 Department of Neuroscience, Yale School of Medicine, Yale University , New Haven, CT , United States – name: 1 Department of Neurology, First Affiliated Hospital, Kunming Medical University , Kunming , China – name: 4 Department of Neurology, Xiangya Hospital, Central South University , Changsha , China |
Author_xml | – sequence: 1 givenname: Qian surname: Wu fullname: Wu, Qian organization: Department of Neurology, First Affiliated Hospital, Kunming Medical University, Kunming, China – sequence: 2 givenname: Charlie W surname: Zhao fullname: Zhao, Charlie W organization: Department of Neuroscience, Yale School of Medicine, Yale University, New Haven, CT, United States – sequence: 3 givenname: Zhe surname: Long fullname: Long, Zhe organization: Sydney Medical School and the Brain & Mind Institute, The University of Sydney, Camperdown, NSW, Australia – sequence: 4 givenname: Bo surname: Xiao fullname: Xiao, Bo organization: Department of Neurology, Xiangya Hospital, Central South University, Changsha, China – sequence: 5 givenname: Li surname: Feng fullname: Feng, Li organization: Department of Neurology, Xiangya Hospital, Central South University, Changsha, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29681801$$D View this record in MEDLINE/PubMed |
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Copyright | 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2018 Wu, Zhao, Long, Xiao and Feng. 2018 Wu, Zhao, Long, Xiao and Feng |
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Keywords | epilepsy seizure cognition networks topology |
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28 Schmeiser (B64) 2017; 129 Kim (B37) 2012; 53 Martinian (B50) 2012; 98 Mlsna (B53) 2013; 29 |
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Snippet | Epilepsy is a paroxysmal neurological disorder characterized by recurrent and unprovoked seizures affecting approximately 50 million people worldwide.... |
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StartPage | 25 |
SubjectTerms | Amygdala Cerebellum cognition Cognitive ability Convulsions & seizures Corpus callosum Epilepsy Memory networks Neural networks Neurogenesis Neuroimaging Neurology Neuroscience Neurosciences Pathology Quality of life seizure Seizures Substantia alba Systematic review topology |
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Title | Anatomy Based Networks and Topology Alteration in Seizure-Related Cognitive Outcomes |
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