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Imaging Genetics in Epilepsy: Current Knowledge and New Perspectives

Epilepsy is a neurological network disease with genetics playing a much greater role than was previously appreciated. Unfortunately, the relationship between genetic basis and imaging phenotype is by no means simple. Imaging genetics integrates multidimensional datasets within a unified framework, p...

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Autores principales: Wang, Ge, Wu, Wenyue, Xu, Yuchen, Yang, Zhuanyi, Xiao, Bo, Long, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189397/
https://www.ncbi.nlm.nih.gov/pubmed/35706428
http://dx.doi.org/10.3389/fnmol.2022.891621
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author Wang, Ge
Wu, Wenyue
Xu, Yuchen
Yang, Zhuanyi
Xiao, Bo
Long, Lili
author_facet Wang, Ge
Wu, Wenyue
Xu, Yuchen
Yang, Zhuanyi
Xiao, Bo
Long, Lili
author_sort Wang, Ge
collection PubMed
description Epilepsy is a neurological network disease with genetics playing a much greater role than was previously appreciated. Unfortunately, the relationship between genetic basis and imaging phenotype is by no means simple. Imaging genetics integrates multidimensional datasets within a unified framework, providing a unique opportunity to pursue a global vision for epilepsy. This review delineates the current knowledge of underlying genetic mechanisms for brain networks in different epilepsy syndromes, particularly from a neural developmental perspective. Further, endophenotypes and their potential value are discussed. Finally, we highlight current challenges and provide perspectives for the future development of imaging genetics in epilepsy.
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spelling pubmed-91893972022-06-14 Imaging Genetics in Epilepsy: Current Knowledge and New Perspectives Wang, Ge Wu, Wenyue Xu, Yuchen Yang, Zhuanyi Xiao, Bo Long, Lili Front Mol Neurosci Molecular Neuroscience Epilepsy is a neurological network disease with genetics playing a much greater role than was previously appreciated. Unfortunately, the relationship between genetic basis and imaging phenotype is by no means simple. Imaging genetics integrates multidimensional datasets within a unified framework, providing a unique opportunity to pursue a global vision for epilepsy. This review delineates the current knowledge of underlying genetic mechanisms for brain networks in different epilepsy syndromes, particularly from a neural developmental perspective. Further, endophenotypes and their potential value are discussed. Finally, we highlight current challenges and provide perspectives for the future development of imaging genetics in epilepsy. Frontiers Media S.A. 2022-05-30 /pmc/articles/PMC9189397/ /pubmed/35706428 http://dx.doi.org/10.3389/fnmol.2022.891621 Text en Copyright © 2022 Wang, Wu, Xu, Yang, Xiao and Long. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Neuroscience
Wang, Ge
Wu, Wenyue
Xu, Yuchen
Yang, Zhuanyi
Xiao, Bo
Long, Lili
Imaging Genetics in Epilepsy: Current Knowledge and New Perspectives
title Imaging Genetics in Epilepsy: Current Knowledge and New Perspectives
title_full Imaging Genetics in Epilepsy: Current Knowledge and New Perspectives
title_fullStr Imaging Genetics in Epilepsy: Current Knowledge and New Perspectives
title_full_unstemmed Imaging Genetics in Epilepsy: Current Knowledge and New Perspectives
title_short Imaging Genetics in Epilepsy: Current Knowledge and New Perspectives
title_sort imaging genetics in epilepsy: current knowledge and new perspectives
topic Molecular Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189397/
https://www.ncbi.nlm.nih.gov/pubmed/35706428
http://dx.doi.org/10.3389/fnmol.2022.891621
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