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

Frontiers in Neuroscience

Jianing Zhang¹  Songxiong Wu¹  Ping Zeng¹  Bingsheng Huang¹  Shaonan Zhong¹  Zefan Yang¹  Fuyong Chen²  Wei Tao²  Wuping Sun³  Chengrui Qian³  Jiabin Huang³  Yuliang Liao³  Lizu Xiao³  Zhiguo Zhang⁴ 

[1] Clinical Research Center for Neurological Diseases, Shenzhen University, Shenzhen, China;Department of Neurosurgery, Shenzhen University General Hospital, Shenzhen, China;Department of Pain Medicine and Shenzhen Municipal Key Laboratory for Pain Medicine, Shenzhen Sixth Hospital of Guangdong Medical University, Shenzhen, China;School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China;

关键词: herpes zoster;    medication response;    structural MRI;    multivoxel pattern analysis;    prediction;   

DOI  :  10.3389/fnins.2019.00534

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown