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异常低频振荡反映共同性外斜视患者的异常眼球运动和立体视觉。

Abnormal Low-Frequency Oscillations Reflect Abnormal Eye Movement and Stereovision in Patients With Comitant Exotropia.

作者信息

Chen Juan, Jin Han, Zhong Yu-Lin, Huang Xin

机构信息

Department of Ophthalmology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China.

出版信息

Front Hum Neurosci. 2021 Oct 8;15:754234. doi: 10.3389/fnhum.2021.754234. eCollection 2021.

Abstract

Patients with comitant exotropia (CE) are accompanied by abnormal eye movements and stereovision. However, the neurophysiological mechanism of impaired eye movements and stereovision in patient with CE is still unclear. The purpose of this study is to investigate spontaneous neural activity changes in patients with CE using the amplitude of low-frequency fluctuation (ALFF) method and the machine learning method. A total of 21 patients with CE and 21 healthy controls (HCs) underwent resting-state magnetic resonance imaging scans. The ALFF and fractional amplitude of low-frequency fluctuation (fALFF) values were chosen as classification features using a machine learning method. Compared with the HC group, patients with CE had significantly decreased ALFF values in the right angular (ANG)/middle occipital gyrus (MOG)/middle temporal gyrus (MTG) and bilateral supplementary motor area (SMA)/precentral gyrus (PreCG). Meanwhile, patients with CE showed significantly increased fALFF values in the left putamen (PUT) and decreased fALFF values in the right ANG/MOG. Moreover, patients with CE showed a decreased functional connectivity (FC) between the right ANG/MOG/MTG and the bilateral calcarine (CAL)/lingual (LING) and increased FC between the left PUT and the bilateral cerebellum 8/9 (CER 8/9). The support vector machine (SVM) classification reaches a total accuracy of 93 and 90% and the area under the curve (AUC) of 0.93 and 0.90 based on ALFF and fALFF values, respectively. Our result highlights that patients with CE had abnormal brain neural activities including MOG and supplementary motor area/PreCG, which might reflect the neural mechanism of eye movements and stereovision dysfunction in patients with CE. Moreover, ALFF and fALFF could be sensitive biomarkers for distinguishing patients with CE from HCs.

摘要

共同性外斜视(CE)患者伴有眼球运动异常和立体视觉异常。然而,CE患者眼球运动和立体视觉受损的神经生理机制仍不清楚。本研究旨在采用低频振幅(ALFF)方法和机器学习方法研究CE患者的自发神经活动变化。共有21例CE患者和21名健康对照者(HCs)接受了静息态磁共振成像扫描。使用机器学习方法将ALFF和低频振幅分数(fALFF)值作为分类特征。与HC组相比,CE患者右侧角回(ANG)/枕中回(MOG)/颞中回(MTG)以及双侧辅助运动区(SMA)/中央前回(PreCG)的ALFF值显著降低。同时,CE患者左侧壳核(PUT)的fALFF值显著升高,右侧ANG/MOG的fALFF值降低。此外,CE患者右侧ANG/MOG/MTG与双侧距状回(CAL)/舌回(LING)之间的功能连接(FC)降低,左侧PUT与双侧小脑8/9(CER 8/9)之间的FC增加。基于ALFF和fALFF值,支持向量机(SVM)分类的总准确率分别达到93%和90%,曲线下面积(AUC)分别为0.93和0.90。我们的结果表明,CE患者存在包括MOG和辅助运动区/中央前回在内的脑神经网络活动异常,这可能反映了CE患者眼球运动和立体视觉功能障碍的神经机制。此外,ALFF和fALFF可能是区分CE患者和HCs的敏感生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7c2/8531266/b298c4511cc0/fnhum-15-754234-g0001.jpg

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