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Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies
Epilepsy is one of the most common chronic neurological conditions, traditionally defined as a disorder of recurrent seizures. Cognitive and affective dysfunction are increasingly recognized as core disease dimensions and can affect patient well-being, sometimes more than the seizures themselves. Co...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208009/ https://www.ncbi.nlm.nih.gov/pubmed/35733426 http://dx.doi.org/10.1162/netn_a_00237 |
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author | Rodriguez-Cruces, Raul Royer, Jessica Larivière, Sara Bassett, Dani S. Caciagli, Lorenzo Bernhardt, Boris C. |
author_facet | Rodriguez-Cruces, Raul Royer, Jessica Larivière, Sara Bassett, Dani S. Caciagli, Lorenzo Bernhardt, Boris C. |
author_sort | Rodriguez-Cruces, Raul |
collection | PubMed |
description | Epilepsy is one of the most common chronic neurological conditions, traditionally defined as a disorder of recurrent seizures. Cognitive and affective dysfunction are increasingly recognized as core disease dimensions and can affect patient well-being, sometimes more than the seizures themselves. Connectome-based approaches hold immense promise for revealing mechanisms that contribute to dysfunction and to identify biomarkers. Our review discusses emerging multimodal neuroimaging and connectomics studies that highlight network substrates of cognitive/affective dysfunction in the common epilepsies. We first discuss work in drug-resistant epilepsy syndromes, that is, temporal lobe epilepsy, related to mesiotemporal sclerosis (TLE), and extratemporal epilepsy (ETE), related to malformations of cortical development. While these are traditionally conceptualized as ‘focal’ epilepsies, many patients present with broad structural and functional anomalies. Moreover, the extent of distributed changes contributes to difficulties in multiple cognitive domains as well as affective-behavioral challenges. We also review work in idiopathic generalized epilepsy (IGE), a subset of generalized epilepsy syndromes that involve subcortico-cortical circuits. Overall, neuroimaging and network neuroscience studies point to both shared and syndrome-specific connectome signatures of dysfunction across TLE, ETE, and IGE. Lastly, we point to current gaps in the literature and formulate recommendations for future research. |
format | Online Article Text |
id | pubmed-9208009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92080092022-06-21 Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies Rodriguez-Cruces, Raul Royer, Jessica Larivière, Sara Bassett, Dani S. Caciagli, Lorenzo Bernhardt, Boris C. Netw Neurosci Focus Feature: Biomarkers in Network Neuroscience Epilepsy is one of the most common chronic neurological conditions, traditionally defined as a disorder of recurrent seizures. Cognitive and affective dysfunction are increasingly recognized as core disease dimensions and can affect patient well-being, sometimes more than the seizures themselves. Connectome-based approaches hold immense promise for revealing mechanisms that contribute to dysfunction and to identify biomarkers. Our review discusses emerging multimodal neuroimaging and connectomics studies that highlight network substrates of cognitive/affective dysfunction in the common epilepsies. We first discuss work in drug-resistant epilepsy syndromes, that is, temporal lobe epilepsy, related to mesiotemporal sclerosis (TLE), and extratemporal epilepsy (ETE), related to malformations of cortical development. While these are traditionally conceptualized as ‘focal’ epilepsies, many patients present with broad structural and functional anomalies. Moreover, the extent of distributed changes contributes to difficulties in multiple cognitive domains as well as affective-behavioral challenges. We also review work in idiopathic generalized epilepsy (IGE), a subset of generalized epilepsy syndromes that involve subcortico-cortical circuits. Overall, neuroimaging and network neuroscience studies point to both shared and syndrome-specific connectome signatures of dysfunction across TLE, ETE, and IGE. Lastly, we point to current gaps in the literature and formulate recommendations for future research. MIT Press 2022-06-01 /pmc/articles/PMC9208009/ /pubmed/35733426 http://dx.doi.org/10.1162/netn_a_00237 Text en © 2022 Massachusetts Institute of Technology https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Focus Feature: Biomarkers in Network Neuroscience Rodriguez-Cruces, Raul Royer, Jessica Larivière, Sara Bassett, Dani S. Caciagli, Lorenzo Bernhardt, Boris C. Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies |
title | Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies |
title_full | Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies |
title_fullStr | Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies |
title_full_unstemmed | Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies |
title_short | Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies |
title_sort | multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies |
topic | Focus Feature: Biomarkers in Network Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208009/ https://www.ncbi.nlm.nih.gov/pubmed/35733426 http://dx.doi.org/10.1162/netn_a_00237 |
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