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Global brain network dynamics predict therapeutic responsiveness to cannabidiol treatment for refractory epilepsy
Refractory epilepsy is a chronic brain network disorder characterized by unresponsiveness to multiple (>2) anti-epileptic drugs. Cannabidiol, a non-psychotropic neuroactive substance, is an emerging anti-epileptic treatment that was recently approved by the US Food and Drug Administration for the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751013/ https://www.ncbi.nlm.nih.gov/pubmed/33376981 http://dx.doi.org/10.1093/braincomms/fcaa140 |
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author | Anderson, David E Madhavan, Deepak Swaminathan, Arun |
author_facet | Anderson, David E Madhavan, Deepak Swaminathan, Arun |
author_sort | Anderson, David E |
collection | PubMed |
description | Refractory epilepsy is a chronic brain network disorder characterized by unresponsiveness to multiple (>2) anti-epileptic drugs. Cannabidiol, a non-psychotropic neuroactive substance, is an emerging anti-epileptic treatment that was recently approved by the US Food and Drug Administration for the treatment of refractory epilepsy, especially Lennox Gastaut syndrome and Dravet syndrome. Here, we evaluated associations between global brain network dynamics and related changes and responsiveness to cannabidiol therapy using a combination of electroencephalography phase coherence and graph theoretical analyses. Refractory epilepsy patients with Lennox Gastaut syndrome or Dravet syndrome underwent serial electroencephalography testing prior to and during cannabidiol treatment. Patients showing greater than 70% seizure frequency reduction were classified as treatment responders for the purposes of this study. We calculated inter-electrode electroencephalography phase coherence in delta (1–3 Hz), theta (4–7 Hz), alpha (8–12 Hz) and beta (13–30 Hz) frequency bands. Graph theoretical analysis of brain network dynamics was extracted from phase coherence to evaluate measures of network integration (i.e. characteristic path length, global efficiency and degree) and segregation (i.e. modularity and transitivity). We found that responders, relative to non-responders, showed increased network integration—as indexed by relatively higher global efficiency and lower degree—and increased network segregation—as indexed by relatively higher modularity—exclusively in the beta-frequency band. We also found that larger cannabidiol dosages were associated with increased network integration—as indexed by higher global efficiency with increasing dose—and increased network segregation—as indexed by lower transitivity with increasing dose—in the delta, theta and alpha frequency bands. In summary, we demonstrate novel effects of cannabidiol on brain network dynamics with important implications for the treatment of refractory epilepsy and, possibly, across broader research applications in the future. |
format | Online Article Text |
id | pubmed-7751013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77510132020-12-28 Global brain network dynamics predict therapeutic responsiveness to cannabidiol treatment for refractory epilepsy Anderson, David E Madhavan, Deepak Swaminathan, Arun Brain Commun Original Article Refractory epilepsy is a chronic brain network disorder characterized by unresponsiveness to multiple (>2) anti-epileptic drugs. Cannabidiol, a non-psychotropic neuroactive substance, is an emerging anti-epileptic treatment that was recently approved by the US Food and Drug Administration for the treatment of refractory epilepsy, especially Lennox Gastaut syndrome and Dravet syndrome. Here, we evaluated associations between global brain network dynamics and related changes and responsiveness to cannabidiol therapy using a combination of electroencephalography phase coherence and graph theoretical analyses. Refractory epilepsy patients with Lennox Gastaut syndrome or Dravet syndrome underwent serial electroencephalography testing prior to and during cannabidiol treatment. Patients showing greater than 70% seizure frequency reduction were classified as treatment responders for the purposes of this study. We calculated inter-electrode electroencephalography phase coherence in delta (1–3 Hz), theta (4–7 Hz), alpha (8–12 Hz) and beta (13–30 Hz) frequency bands. Graph theoretical analysis of brain network dynamics was extracted from phase coherence to evaluate measures of network integration (i.e. characteristic path length, global efficiency and degree) and segregation (i.e. modularity and transitivity). We found that responders, relative to non-responders, showed increased network integration—as indexed by relatively higher global efficiency and lower degree—and increased network segregation—as indexed by relatively higher modularity—exclusively in the beta-frequency band. We also found that larger cannabidiol dosages were associated with increased network integration—as indexed by higher global efficiency with increasing dose—and increased network segregation—as indexed by lower transitivity with increasing dose—in the delta, theta and alpha frequency bands. In summary, we demonstrate novel effects of cannabidiol on brain network dynamics with important implications for the treatment of refractory epilepsy and, possibly, across broader research applications in the future. Oxford University Press 2020-08-31 /pmc/articles/PMC7751013/ /pubmed/33376981 http://dx.doi.org/10.1093/braincomms/fcaa140 Text en © The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. http://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/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Anderson, David E Madhavan, Deepak Swaminathan, Arun Global brain network dynamics predict therapeutic responsiveness to cannabidiol treatment for refractory epilepsy |
title | Global brain network dynamics predict therapeutic responsiveness to cannabidiol treatment for refractory epilepsy |
title_full | Global brain network dynamics predict therapeutic responsiveness to cannabidiol treatment for refractory epilepsy |
title_fullStr | Global brain network dynamics predict therapeutic responsiveness to cannabidiol treatment for refractory epilepsy |
title_full_unstemmed | Global brain network dynamics predict therapeutic responsiveness to cannabidiol treatment for refractory epilepsy |
title_short | Global brain network dynamics predict therapeutic responsiveness to cannabidiol treatment for refractory epilepsy |
title_sort | global brain network dynamics predict therapeutic responsiveness to cannabidiol treatment for refractory epilepsy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751013/ https://www.ncbi.nlm.nih.gov/pubmed/33376981 http://dx.doi.org/10.1093/braincomms/fcaa140 |
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