Predicting the antiepileptic drug response by brain connectivity in newly diagnosed focal epilepsy
Objective Growing evidence has suggested that epilepsy is a disease with alterations in brain connectivity. The aim of this study was to investigate whether the changes in brain connectivity can predict the response to an antiepileptic drug (AED) in patients with a newly diagnosed focal epilepsy of...
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| Veröffentlicht in: | Journal of neurology 2020-04, Vol.267 (4), p.1179-1187 |
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| creator | Park, Kang Min Cho, Kyoo Ho Lee, Ho-Joon Heo, Kyoung Lee, Byung In Kim, Sung Eun |
| description | Objective
Growing evidence has suggested that epilepsy is a disease with alterations in brain connectivity. The aim of this study was to investigate whether the changes in brain connectivity can predict the response to an antiepileptic drug (AED) in patients with a newly diagnosed focal epilepsy of unknown etiology.
Methods
This observational study was independently performed at two tertiary hospitals (Group A and B). Thirty-eight patients with newly diagnosed focal epilepsy of unknown etiology were enrolled in Group A and 46 patients in Group B. We divided these patients into two groups according to their seizure control after AED treatment: AED good and poor responders. We defined the AED good responders as those in whom had seizure free for at least the last 6 months while AED poor responders who were not. All of the subjects underwent diffusion tensor imaging, and graph theoretical analysis was applied to reveal the brain connectivity. We investigated the difference in the clinical characteristics and network measurements between the two groups.
Results
Of the network measures, the assortativity coefficient in the AED good responders was significantly higher than that in the AED poor responders in both Groups A and B (− 0.0239 vs. − 0.0473,
p
= 0.0110 in Group A; 0.0173 vs. − 0.0180,
p
= 0.0024 in Group B). The Kaplan–Meier survival analysis revealed that the time to failure to retain the first AED was significantly longer in the patients with assortative networks (assortativity coefficient > 0) than in those with disassortative networks (assortativity coefficient |
| doi_str_mv | 10.1007/s00415-020-09697-4 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2336256720</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2384693070</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-8cc8af79a15fd66dc78890ac2d211c8cb899939f523d25c35a316491d83293013</originalsourceid><addsrcrecordid>eNp9kctO3TAURa0KVG6hP8AAWWLCJO3xK7GHCLW0EhIMYGw5tnMxynWCnVDl72saHlIHjCzrrL185I3QMYFvBKD5ngE4ERVQqEDVqqn4J7QhnNGKcKH20AYYh0owwQ_Ql5wfAECWwWd0wIiigqtmg9qb5F2wU4hbPN17bOIU_Bh6P07BYpfmLU4-j0PMHrcLbpMJEdshRl8yT2FacLlH_6dfsAtmG4fsHe4Ga3q8avJyhPY702f_9eU8RHc_f9xe_Kquri9_X5xfVZY1YqqktdJ0jTJEdK6unW2kVGAsdZQQK20rlVJMdYIyR4VlwjBSc0WcZFQxIOwQna3eMQ2Ps8-T3oVsfd-b6Ic5a8pYTUXdUCjo6X_owzCnWLYrlOR18TXPFF0pm4ack-_0mMLOpEUT0M8N6LUBXRrQ_xrQvIROXtRzu_PuLfL65QVgK5DLKG59en_7A-1fpOaRIw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2384693070</pqid></control><display><type>article</type><title>Predicting the antiepileptic drug response by brain connectivity in newly diagnosed focal epilepsy</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Park, Kang Min ; Cho, Kyoo Ho ; Lee, Ho-Joon ; Heo, Kyoung ; Lee, Byung In ; Kim, Sung Eun</creator><creatorcontrib>Park, Kang Min ; Cho, Kyoo Ho ; Lee, Ho-Joon ; Heo, Kyoung ; Lee, Byung In ; Kim, Sung Eun</creatorcontrib><description>Objective
Growing evidence has suggested that epilepsy is a disease with alterations in brain connectivity. The aim of this study was to investigate whether the changes in brain connectivity can predict the response to an antiepileptic drug (AED) in patients with a newly diagnosed focal epilepsy of unknown etiology.
Methods
This observational study was independently performed at two tertiary hospitals (Group A and B). Thirty-eight patients with newly diagnosed focal epilepsy of unknown etiology were enrolled in Group A and 46 patients in Group B. We divided these patients into two groups according to their seizure control after AED treatment: AED good and poor responders. We defined the AED good responders as those in whom had seizure free for at least the last 6 months while AED poor responders who were not. All of the subjects underwent diffusion tensor imaging, and graph theoretical analysis was applied to reveal the brain connectivity. We investigated the difference in the clinical characteristics and network measurements between the two groups.
Results
Of the network measures, the assortativity coefficient in the AED good responders was significantly higher than that in the AED poor responders in both Groups A and B (− 0.0239 vs. − 0.0473,
p
= 0.0110 in Group A; 0.0173 vs. − 0.0180,
p
= 0.0024 in Group B). The Kaplan–Meier survival analysis revealed that the time to failure to retain the first AED was significantly longer in the patients with assortative networks (assortativity coefficient > 0) than in those with disassortative networks (assortativity coefficient < 0) in Group B.
Conclusion
We demonstrated that the assortativity coefficient differed between patients with newly diagnosed focal epilepsy of unknown etiology according to their AED responses, which suggests that the changes in brain connectivity could be a biomarker for predicting the responses to AED.</description><identifier>ISSN: 0340-5354</identifier><identifier>EISSN: 1432-1459</identifier><identifier>DOI: 10.1007/s00415-020-09697-4</identifier><identifier>PMID: 31925497</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Anticonvulsants - pharmacology ; Antiepileptic agents ; Convulsions & seizures ; Diffusion Tensor Imaging ; Epilepsies, Partial - diagnostic imaging ; Epilepsies, Partial - drug therapy ; Epilepsy ; Etiology ; Female ; Humans ; Magnetic resonance imaging ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Nerve Net - diagnostic imaging ; Neural networks ; Neuroimaging ; Neurology ; Neuroradiology ; Neurosciences ; Original Communication ; Outcome Assessment, Health Care ; Patients ; Prognosis ; Seizures ; Survival analysis ; Young Adult</subject><ispartof>Journal of neurology, 2020-04, Vol.267 (4), p.1179-1187</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Journal of Neurology is a copyright of Springer, (2020). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-8cc8af79a15fd66dc78890ac2d211c8cb899939f523d25c35a316491d83293013</citedby><cites>FETCH-LOGICAL-c375t-8cc8af79a15fd66dc78890ac2d211c8cb899939f523d25c35a316491d83293013</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00415-020-09697-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00415-020-09697-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31925497$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Park, Kang Min</creatorcontrib><creatorcontrib>Cho, Kyoo Ho</creatorcontrib><creatorcontrib>Lee, Ho-Joon</creatorcontrib><creatorcontrib>Heo, Kyoung</creatorcontrib><creatorcontrib>Lee, Byung In</creatorcontrib><creatorcontrib>Kim, Sung Eun</creatorcontrib><title>Predicting the antiepileptic drug response by brain connectivity in newly diagnosed focal epilepsy</title><title>Journal of neurology</title><addtitle>J Neurol</addtitle><addtitle>J Neurol</addtitle><description>Objective
Growing evidence has suggested that epilepsy is a disease with alterations in brain connectivity. The aim of this study was to investigate whether the changes in brain connectivity can predict the response to an antiepileptic drug (AED) in patients with a newly diagnosed focal epilepsy of unknown etiology.
Methods
This observational study was independently performed at two tertiary hospitals (Group A and B). Thirty-eight patients with newly diagnosed focal epilepsy of unknown etiology were enrolled in Group A and 46 patients in Group B. We divided these patients into two groups according to their seizure control after AED treatment: AED good and poor responders. We defined the AED good responders as those in whom had seizure free for at least the last 6 months while AED poor responders who were not. All of the subjects underwent diffusion tensor imaging, and graph theoretical analysis was applied to reveal the brain connectivity. We investigated the difference in the clinical characteristics and network measurements between the two groups.
Results
Of the network measures, the assortativity coefficient in the AED good responders was significantly higher than that in the AED poor responders in both Groups A and B (− 0.0239 vs. − 0.0473,
p
= 0.0110 in Group A; 0.0173 vs. − 0.0180,
p
= 0.0024 in Group B). The Kaplan–Meier survival analysis revealed that the time to failure to retain the first AED was significantly longer in the patients with assortative networks (assortativity coefficient > 0) than in those with disassortative networks (assortativity coefficient < 0) in Group B.
Conclusion
We demonstrated that the assortativity coefficient differed between patients with newly diagnosed focal epilepsy of unknown etiology according to their AED responses, which suggests that the changes in brain connectivity could be a biomarker for predicting the responses to AED.</description><subject>Adult</subject><subject>Anticonvulsants - pharmacology</subject><subject>Antiepileptic agents</subject><subject>Convulsions & seizures</subject><subject>Diffusion Tensor Imaging</subject><subject>Epilepsies, Partial - diagnostic imaging</subject><subject>Epilepsies, Partial - drug therapy</subject><subject>Epilepsy</subject><subject>Etiology</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetic resonance imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Nerve Net - diagnostic imaging</subject><subject>Neural networks</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Original Communication</subject><subject>Outcome Assessment, Health Care</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Seizures</subject><subject>Survival analysis</subject><subject>Young Adult</subject><issn>0340-5354</issn><issn>1432-1459</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kctO3TAURa0KVG6hP8AAWWLCJO3xK7GHCLW0EhIMYGw5tnMxynWCnVDl72saHlIHjCzrrL185I3QMYFvBKD5ngE4ERVQqEDVqqn4J7QhnNGKcKH20AYYh0owwQ_Ql5wfAECWwWd0wIiigqtmg9qb5F2wU4hbPN17bOIU_Bh6P07BYpfmLU4-j0PMHrcLbpMJEdshRl8yT2FacLlH_6dfsAtmG4fsHe4Ga3q8avJyhPY702f_9eU8RHc_f9xe_Kquri9_X5xfVZY1YqqktdJ0jTJEdK6unW2kVGAsdZQQK20rlVJMdYIyR4VlwjBSc0WcZFQxIOwQna3eMQ2Ps8-T3oVsfd-b6Ic5a8pYTUXdUCjo6X_owzCnWLYrlOR18TXPFF0pm4ack-_0mMLOpEUT0M8N6LUBXRrQ_xrQvIROXtRzu_PuLfL65QVgK5DLKG59en_7A-1fpOaRIw</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Park, Kang Min</creator><creator>Cho, Kyoo Ho</creator><creator>Lee, Ho-Joon</creator><creator>Heo, Kyoung</creator><creator>Lee, Byung In</creator><creator>Kim, Sung Eun</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20200401</creationdate><title>Predicting the antiepileptic drug response by brain connectivity in newly diagnosed focal epilepsy</title><author>Park, Kang Min ; Cho, Kyoo Ho ; Lee, Ho-Joon ; Heo, Kyoung ; Lee, Byung In ; Kim, Sung Eun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-8cc8af79a15fd66dc78890ac2d211c8cb899939f523d25c35a316491d83293013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Anticonvulsants - pharmacology</topic><topic>Antiepileptic agents</topic><topic>Convulsions & seizures</topic><topic>Diffusion Tensor Imaging</topic><topic>Epilepsies, Partial - diagnostic imaging</topic><topic>Epilepsies, Partial - drug therapy</topic><topic>Epilepsy</topic><topic>Etiology</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetic resonance imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Nerve Net - diagnostic imaging</topic><topic>Neural networks</topic><topic>Neuroimaging</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Original Communication</topic><topic>Outcome Assessment, Health Care</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Seizures</topic><topic>Survival analysis</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Kang Min</creatorcontrib><creatorcontrib>Cho, Kyoo Ho</creatorcontrib><creatorcontrib>Lee, Ho-Joon</creatorcontrib><creatorcontrib>Heo, Kyoung</creatorcontrib><creatorcontrib>Lee, Byung In</creatorcontrib><creatorcontrib>Kim, Sung Eun</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Kang Min</au><au>Cho, Kyoo Ho</au><au>Lee, Ho-Joon</au><au>Heo, Kyoung</au><au>Lee, Byung In</au><au>Kim, Sung Eun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting the antiepileptic drug response by brain connectivity in newly diagnosed focal epilepsy</atitle><jtitle>Journal of neurology</jtitle><stitle>J Neurol</stitle><addtitle>J Neurol</addtitle><date>2020-04-01</date><risdate>2020</risdate><volume>267</volume><issue>4</issue><spage>1179</spage><epage>1187</epage><pages>1179-1187</pages><issn>0340-5354</issn><eissn>1432-1459</eissn><abstract>Objective
Growing evidence has suggested that epilepsy is a disease with alterations in brain connectivity. The aim of this study was to investigate whether the changes in brain connectivity can predict the response to an antiepileptic drug (AED) in patients with a newly diagnosed focal epilepsy of unknown etiology.
Methods
This observational study was independently performed at two tertiary hospitals (Group A and B). Thirty-eight patients with newly diagnosed focal epilepsy of unknown etiology were enrolled in Group A and 46 patients in Group B. We divided these patients into two groups according to their seizure control after AED treatment: AED good and poor responders. We defined the AED good responders as those in whom had seizure free for at least the last 6 months while AED poor responders who were not. All of the subjects underwent diffusion tensor imaging, and graph theoretical analysis was applied to reveal the brain connectivity. We investigated the difference in the clinical characteristics and network measurements between the two groups.
Results
Of the network measures, the assortativity coefficient in the AED good responders was significantly higher than that in the AED poor responders in both Groups A and B (− 0.0239 vs. − 0.0473,
p
= 0.0110 in Group A; 0.0173 vs. − 0.0180,
p
= 0.0024 in Group B). The Kaplan–Meier survival analysis revealed that the time to failure to retain the first AED was significantly longer in the patients with assortative networks (assortativity coefficient > 0) than in those with disassortative networks (assortativity coefficient < 0) in Group B.
Conclusion
We demonstrated that the assortativity coefficient differed between patients with newly diagnosed focal epilepsy of unknown etiology according to their AED responses, which suggests that the changes in brain connectivity could be a biomarker for predicting the responses to AED.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31925497</pmid><doi>10.1007/s00415-020-09697-4</doi><tpages>9</tpages></addata></record> |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Adult Anticonvulsants - pharmacology Antiepileptic agents Convulsions & seizures Diffusion Tensor Imaging Epilepsies, Partial - diagnostic imaging Epilepsies, Partial - drug therapy Epilepsy Etiology Female Humans Magnetic resonance imaging Male Medicine Medicine & Public Health Middle Aged Nerve Net - diagnostic imaging Neural networks Neuroimaging Neurology Neuroradiology Neurosciences Original Communication Outcome Assessment, Health Care Patients Prognosis Seizures Survival analysis Young Adult |
| title | Predicting the antiepileptic drug response by brain connectivity in newly diagnosed focal epilepsy |
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