Towards prognostic functional brain biomarkers for cervical myelopathy: A resting-state fMRI study.
Towards prognostic functional brain biomarkers for cervical myelopathy: A resting-state fMRI study.
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走向脊髓型颈椎病的预后功能性脑生物标志物：一项静息态功能磁共振成像研究。
DOI：
10.1038/s41598-019-46859-5
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发表时间：
2019
影响因子：
4.6
通讯作者：
Kaito T.
中科院分区：
文献类型：
--
作者：
Takenaka S;Kan S;Seymour B;Makino T;Sakai Y;Kushioka J;Tanaka H;Watanabe Y;Shibata M;Yoshikawa H;Kaito T.
最近，有越来越多的兴趣在战略上预测脊髓型颈椎病（CM）的神经功能恢复的基础上，颈椎的临床影像。在这项研究中，我们的目的是探索潜在的术前脑生物标志物，可以预测术后神经功能恢复CM患者通过使用静息态功能磁共振成像（rs-fMRI）和功能连接（FC）分析。28名CM患者和28名年龄和性别匹配的健康对照（HC）接受了rs-fMRI（CM患者在手术前和手术后六个月进行了两次）。进行了种子到体素分析，并进行了以下三项统计分析：（i）术前CM和HC之间的FC比较;（ii）术前FC和临床评分之间的相关性分析;（iii）CM的术后FC变化。我们的分析确定了三个功能区之间的视觉皮层和右额上级回的基础上结合的前两个分析[（i）和（ii）]。这些FC可以作为术后10秒测试中增益的潜在生物标志物，并且可能足以提供潜在恢复的预测公式。我们的研究结果提供了初步的证据，支持新的预测措施的可能性，在CM神经功能恢复使用rs-fMRI。
Recently, there has been increasing interest in strategies to predict neurological recovery in cervical myelopathy (CM) based on clinical images of the cervical spine. In this study, we aimed to explore potential preoperative brain biomarkers that can predict postoperative neurological recovery in CM patients by using resting-state functional magnetic resonance imaging (rs-fMRI) and functional connectivity (FC) analysis. Twenty-eight patients with CM and 28 age- and sex-matched healthy controls (HCs) underwent rs-fMRI (twice for CM patients, before and six months after surgery). A seed-to-voxel analysis was performed, and the following three statistical analyses were conducted: (i) FC comparisons between preoperative CM and HC; (ii) correlation analysis between preoperative FCs and clinical scores; and (iii) postoperative FC changes in CM. Our analyses identified three FCs between the visual cortex and the right superior frontal gyrus based on the conjunction of the first two analyses [(i) and (ii)]. These FCs may act as potential biomarkers for postoperative gain in the 10-second test and might be sufficient to provide a prediction formula for potential recovery. Our findings provide preliminary evidence supporting the possibility of novel predictive measures for neurological recovery in CM using rs-fMRI.