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Predicting Sumatriptan Responsiveness Based on Structural Connectivity in Patients Newly Diagnosed With Migraine

BACKGROUND AND PURPOSE: We aimed to determine whether structural brain connectivity is significantly associated with the response to sumatriptan in patients with migraine. METHODS: We retrospectively enrolled patients with newly diagnosed migraine who underwent brain diffusion-tensor imaging (DTI) a...

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Autores principales: Lee, Dong Ah, Kim, Hyung Chan, Lee, Ho-Joon, Park, Kang Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neurological Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622720/
https://www.ncbi.nlm.nih.gov/pubmed/37455509
http://dx.doi.org/10.3988/jcn.2022.0479
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author Lee, Dong Ah
Kim, Hyung Chan
Lee, Ho-Joon
Park, Kang Min
author_facet Lee, Dong Ah
Kim, Hyung Chan
Lee, Ho-Joon
Park, Kang Min
author_sort Lee, Dong Ah
collection PubMed
description BACKGROUND AND PURPOSE: We aimed to determine whether structural brain connectivity is significantly associated with the response to sumatriptan in patients with migraine. METHODS: We retrospectively enrolled patients with newly diagnosed migraine who underwent brain diffusion-tensor imaging (DTI) at the time of diagnosis, with regular follow-up for at least 6 months after the initial diagnosis. Patients were classified into good- and poor-responder groups according to their response to sumatriptan. We analyzed the structural connectivity using DTI by applying graph theory using DSI Studio software. RESULTS: We enrolled 59 patients (35 good responders and 24 poor responders) and 30 healthy controls. Global structural connectivity differed significantly between patients with migraine and healthy controls, while local structural connectivity differed significantly between good and poor responders. The betweenness centrality was lower in good responders than in poor responders in the left lateral geniculate thalamic nucleus (26.078 vs. 41.371, p=0.039) and right medial mediodorsal magnocellular thalamic nucleus (60.856 vs. 90.378, p=0.021), whereas was higher in good responders in the left lateral pulvinar thalamic nucleus (98.365 vs. 50.347, p=0.003) and right medial pulvinar thalamic nucleus (216.047 vs. 156.651, p=0.036). CONCLUSIONS: We found that structural connectivity in patients with migraine differed from that in healthy controls. Moreover, the local structural connectivity varied with the response to sumatriptan, which suggests that structural connectivity is a useful factor for predicting how a patient will respond to sumatriptan.
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spelling pubmed-106227202023-11-04 Predicting Sumatriptan Responsiveness Based on Structural Connectivity in Patients Newly Diagnosed With Migraine Lee, Dong Ah Kim, Hyung Chan Lee, Ho-Joon Park, Kang Min J Clin Neurol Original Article BACKGROUND AND PURPOSE: We aimed to determine whether structural brain connectivity is significantly associated with the response to sumatriptan in patients with migraine. METHODS: We retrospectively enrolled patients with newly diagnosed migraine who underwent brain diffusion-tensor imaging (DTI) at the time of diagnosis, with regular follow-up for at least 6 months after the initial diagnosis. Patients were classified into good- and poor-responder groups according to their response to sumatriptan. We analyzed the structural connectivity using DTI by applying graph theory using DSI Studio software. RESULTS: We enrolled 59 patients (35 good responders and 24 poor responders) and 30 healthy controls. Global structural connectivity differed significantly between patients with migraine and healthy controls, while local structural connectivity differed significantly between good and poor responders. The betweenness centrality was lower in good responders than in poor responders in the left lateral geniculate thalamic nucleus (26.078 vs. 41.371, p=0.039) and right medial mediodorsal magnocellular thalamic nucleus (60.856 vs. 90.378, p=0.021), whereas was higher in good responders in the left lateral pulvinar thalamic nucleus (98.365 vs. 50.347, p=0.003) and right medial pulvinar thalamic nucleus (216.047 vs. 156.651, p=0.036). CONCLUSIONS: We found that structural connectivity in patients with migraine differed from that in healthy controls. Moreover, the local structural connectivity varied with the response to sumatriptan, which suggests that structural connectivity is a useful factor for predicting how a patient will respond to sumatriptan. Korean Neurological Association 2023-11 2023-06-01 /pmc/articles/PMC10622720/ /pubmed/37455509 http://dx.doi.org/10.3988/jcn.2022.0479 Text en Copyright © 2023 Korean Neurological Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Dong Ah
Kim, Hyung Chan
Lee, Ho-Joon
Park, Kang Min
Predicting Sumatriptan Responsiveness Based on Structural Connectivity in Patients Newly Diagnosed With Migraine
title Predicting Sumatriptan Responsiveness Based on Structural Connectivity in Patients Newly Diagnosed With Migraine
title_full Predicting Sumatriptan Responsiveness Based on Structural Connectivity in Patients Newly Diagnosed With Migraine
title_fullStr Predicting Sumatriptan Responsiveness Based on Structural Connectivity in Patients Newly Diagnosed With Migraine
title_full_unstemmed Predicting Sumatriptan Responsiveness Based on Structural Connectivity in Patients Newly Diagnosed With Migraine
title_short Predicting Sumatriptan Responsiveness Based on Structural Connectivity in Patients Newly Diagnosed With Migraine
title_sort predicting sumatriptan responsiveness based on structural connectivity in patients newly diagnosed with migraine
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622720/
https://www.ncbi.nlm.nih.gov/pubmed/37455509
http://dx.doi.org/10.3988/jcn.2022.0479
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