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Characterizing the Structural Pattern Predicting Medication Response in Herpes Zoster Patients Using Multivoxel Pattern Analysis

Herpes zoster (HZ) can cause a blistering skin rash with severe neuropathic pain. Pharmacotherapy is the most common treatment for HZ patients. However, most patients are usually the elderly or those that are immunocompromised, and thus often suffer from side effects or easily get intractable post-h...

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Autores principales: Zeng, Ping, Huang, Jiabin, Wu, Songxiong, Qian, Chengrui, Chen, Fuyong, Sun, Wuping, Tao, Wei, Liao, Yuliang, Zhang, Jianing, Yang, Zefan, Zhong, Shaonan, Zhang, Zhiguo, Xiao, Lizu, Huang, Bingsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546876/
https://www.ncbi.nlm.nih.gov/pubmed/31191228
http://dx.doi.org/10.3389/fnins.2019.00534
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author Zeng, Ping
Huang, Jiabin
Wu, Songxiong
Qian, Chengrui
Chen, Fuyong
Sun, Wuping
Tao, Wei
Liao, Yuliang
Zhang, Jianing
Yang, Zefan
Zhong, Shaonan
Zhang, Zhiguo
Xiao, Lizu
Huang, Bingsheng
author_facet Zeng, Ping
Huang, Jiabin
Wu, Songxiong
Qian, Chengrui
Chen, Fuyong
Sun, Wuping
Tao, Wei
Liao, Yuliang
Zhang, Jianing
Yang, Zefan
Zhong, Shaonan
Zhang, Zhiguo
Xiao, Lizu
Huang, Bingsheng
author_sort Zeng, Ping
collection PubMed
description Herpes zoster (HZ) can cause a blistering skin rash with severe neuropathic pain. Pharmacotherapy is the most common treatment for HZ patients. However, most patients are usually the elderly or those that are immunocompromised, and thus often suffer from side effects or easily get intractable post-herpetic neuralgia (PHN) if medication fails. It is challenging for clinicians to tailor treatment to patients, due to the lack of prognosis information on the neurological pathogenesis that underlies HZ. In the current study, we aimed at characterizing the brain structural pattern of HZ before treatment with medication that could help predict medication responses. High-resolution structural magnetic resonance imaging (MRI) scans of 14 right-handed HZ patients (aged 61.0 ± 7.0, 8 males) with poor response and 15 (aged 62.6 ± 8.3, 5 males) age- (p = 0.58), gender-matched (p = 0.20) patients responding well, were acquired and analyzed. Multivoxel pattern analysis (MVPA) with a searchlight algorithm and support vector machine (SVM), was applied to identify the spatial pattern of the gray matter (GM) volume, with high predicting accuracy. The predictive regions, with an accuracy higher than 79%, were located within the cerebellum, posterior insular cortex (pIC), middle and orbital frontal lobes (mFC and OFC), anterior and middle cingulum (ACC and MCC), precuneus (PCu) and cuneus. Among these regions, mFC, pIC and MCC displayed significant increases of GM volumes in patients with poor response, compared to those with a good response. The combination of sMRI and MVPA might be a useful tool to explore the neuroanatomical imaging biomarkers of HZ-related pain associated with medication responses.
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spelling pubmed-65468762019-06-12 Characterizing the Structural Pattern Predicting Medication Response in Herpes Zoster Patients Using Multivoxel Pattern Analysis Zeng, Ping Huang, Jiabin Wu, Songxiong Qian, Chengrui Chen, Fuyong Sun, Wuping Tao, Wei Liao, Yuliang Zhang, Jianing Yang, Zefan Zhong, Shaonan Zhang, Zhiguo Xiao, Lizu Huang, Bingsheng Front Neurosci Neuroscience Herpes zoster (HZ) can cause a blistering skin rash with severe neuropathic pain. Pharmacotherapy is the most common treatment for HZ patients. However, most patients are usually the elderly or those that are immunocompromised, and thus often suffer from side effects or easily get intractable post-herpetic neuralgia (PHN) if medication fails. It is challenging for clinicians to tailor treatment to patients, due to the lack of prognosis information on the neurological pathogenesis that underlies HZ. In the current study, we aimed at characterizing the brain structural pattern of HZ before treatment with medication that could help predict medication responses. High-resolution structural magnetic resonance imaging (MRI) scans of 14 right-handed HZ patients (aged 61.0 ± 7.0, 8 males) with poor response and 15 (aged 62.6 ± 8.3, 5 males) age- (p = 0.58), gender-matched (p = 0.20) patients responding well, were acquired and analyzed. Multivoxel pattern analysis (MVPA) with a searchlight algorithm and support vector machine (SVM), was applied to identify the spatial pattern of the gray matter (GM) volume, with high predicting accuracy. The predictive regions, with an accuracy higher than 79%, were located within the cerebellum, posterior insular cortex (pIC), middle and orbital frontal lobes (mFC and OFC), anterior and middle cingulum (ACC and MCC), precuneus (PCu) and cuneus. Among these regions, mFC, pIC and MCC displayed significant increases of GM volumes in patients with poor response, compared to those with a good response. The combination of sMRI and MVPA might be a useful tool to explore the neuroanatomical imaging biomarkers of HZ-related pain associated with medication responses. Frontiers Media S.A. 2019-05-28 /pmc/articles/PMC6546876/ /pubmed/31191228 http://dx.doi.org/10.3389/fnins.2019.00534 Text en Copyright © 2019 Zeng, Huang, Wu, Qian, Chen, Sun, Tao, Liao, Zhang, Yang, Zhong, Zhang, Xiao and Huang. http://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 Neuroscience
Zeng, Ping
Huang, Jiabin
Wu, Songxiong
Qian, Chengrui
Chen, Fuyong
Sun, Wuping
Tao, Wei
Liao, Yuliang
Zhang, Jianing
Yang, Zefan
Zhong, Shaonan
Zhang, Zhiguo
Xiao, Lizu
Huang, Bingsheng
Characterizing the Structural Pattern Predicting Medication Response in Herpes Zoster Patients Using Multivoxel Pattern Analysis
title Characterizing the Structural Pattern Predicting Medication Response in Herpes Zoster Patients Using Multivoxel Pattern Analysis
title_full Characterizing the Structural Pattern Predicting Medication Response in Herpes Zoster Patients Using Multivoxel Pattern Analysis
title_fullStr Characterizing the Structural Pattern Predicting Medication Response in Herpes Zoster Patients Using Multivoxel Pattern Analysis
title_full_unstemmed Characterizing the Structural Pattern Predicting Medication Response in Herpes Zoster Patients Using Multivoxel Pattern Analysis
title_short Characterizing the Structural Pattern Predicting Medication Response in Herpes Zoster Patients Using Multivoxel Pattern Analysis
title_sort characterizing the structural pattern predicting medication response in herpes zoster patients using multivoxel pattern analysis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546876/
https://www.ncbi.nlm.nih.gov/pubmed/31191228
http://dx.doi.org/10.3389/fnins.2019.00534
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