Identifying the Epileptic Network

An important area of current research in epilepsy focuses on identifying the specific regions within the brain that are affected in individuals with recurring seizures. The epileptogenic process may result not only in pathology in focal cortical regions, but abnormalities in subcortical structures,...

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Մատենագիտական մանրամասներ
Հիմնական հեղինակներ: Mark Holmes, Don Tucker
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Լեզու:անգլերեն
Հրապարակվել է: Frontiers Media SA 2021
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Առցանց հասանելիություն:17847
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author Mark Holmes
Don Tucker
author_browse Don Tucker
Mark Holmes
author_facet Mark Holmes
Don Tucker
author_sort Mark Holmes
collection Directory of Open Access Books
description An important area of current research in epilepsy focuses on identifying the specific regions within the brain that are affected in individuals with recurring seizures. The epileptogenic process may result not only in pathology in focal cortical regions, but abnormalities in subcortical structures, such as thalamus and basal ganglia, and in intercortical and intracortical connecting white matter pathways. Novel methods of treating refractory epilepsy are urgently needed. The goal of identifying for each affected individual the specific brain regions that are involved offers the promise that novel methods of treatment will one day be developed that specifically target those abnormal regions. Researchers from disparate fields are required to develop and advance this area of research, and this current topic proposes to place a spotlight on the “state of the art” of methods to identify the abnormal networks. Recent work covering a wide variety of disciplines and technologies, including dense array electroencephalography (dEEG), novel methods of analyses of both the interictal dEEG and intracranial EEG (icEEG), magnetoencephalography (MEG), high-resolution magnetic resonance imaging (MRI), functional MRI (fMRI), simultaneous fMRI-EEG, fMRI connectivity measures, simultaneous dEEG-icEEG, and techniques to coregister patient-specific MRI (including white matter pathways) and dEEG, are all examples of areas of research that have contributed to a greater understanding of potential epileptogenic regions. We asked for individuals with expertise in an area of research that expands an understanding of identifying epileptic networks to contribute to this research topic.
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spelling doab-20.500.12854ir-498222024-04-01T14:15:19Z Identifying the Epileptic Network Mark Holmes Don Tucker RC346-429 R5-920 tractography epileptic spikes functional connectivity Epilepsy cerebral networks EEG coherence analysis Seizure propagation thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKJ Neurology and clinical neurophysiology An important area of current research in epilepsy focuses on identifying the specific regions within the brain that are affected in individuals with recurring seizures. The epileptogenic process may result not only in pathology in focal cortical regions, but abnormalities in subcortical structures, such as thalamus and basal ganglia, and in intercortical and intracortical connecting white matter pathways. Novel methods of treating refractory epilepsy are urgently needed. The goal of identifying for each affected individual the specific brain regions that are involved offers the promise that novel methods of treatment will one day be developed that specifically target those abnormal regions. Researchers from disparate fields are required to develop and advance this area of research, and this current topic proposes to place a spotlight on the “state of the art” of methods to identify the abnormal networks. Recent work covering a wide variety of disciplines and technologies, including dense array electroencephalography (dEEG), novel methods of analyses of both the interictal dEEG and intracranial EEG (icEEG), magnetoencephalography (MEG), high-resolution magnetic resonance imaging (MRI), functional MRI (fMRI), simultaneous fMRI-EEG, fMRI connectivity measures, simultaneous dEEG-icEEG, and techniques to coregister patient-specific MRI (including white matter pathways) and dEEG, are all examples of areas of research that have contributed to a greater understanding of potential epileptogenic regions. We asked for individuals with expertise in an area of research that expands an understanding of identifying epileptic networks to contribute to this research topic. 2021-02-11T15:48:08Z 2021-02-11T15:48:08Z 2015-12-10 11:59:07 2014 book 17847 16648714 9782889192960 https://directory.doabooks.org/handle/20.500.12854/49822 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Identifying_the_Epileptic_Network/342#nogo http://journal.frontiersin.org/researchtopic/939/identifying-the-epileptic-network Frontiers Media SA 10.3389/978-2-88919-296-0 10.3389/978-2-88919-296-0 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889192960 126 open access
spellingShingle RC346-429
R5-920
tractography
epileptic spikes
functional connectivity
Epilepsy
cerebral networks
EEG coherence analysis
Seizure propagation
thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKJ Neurology and clinical neurophysiology
Mark Holmes
Don Tucker
Identifying the Epileptic Network
title Identifying the Epileptic Network
title_full Identifying the Epileptic Network
title_fullStr Identifying the Epileptic Network
title_full_unstemmed Identifying the Epileptic Network
title_short Identifying the Epileptic Network
title_sort identifying the epileptic network
topic RC346-429
R5-920
tractography
epileptic spikes
functional connectivity
Epilepsy
cerebral networks
EEG coherence analysis
Seizure propagation
thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKJ Neurology and clinical neurophysiology
topic_facet RC346-429
R5-920
tractography
epileptic spikes
functional connectivity
Epilepsy
cerebral networks
EEG coherence analysis
Seizure propagation
thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKJ Neurology and clinical neurophysiology
url 17847
work_keys_str_mv AT markholmes identifyingtheepilepticnetwork
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