Abstract

Background: 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.Purpose: 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.Materials and Methods: 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.Results: 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.Conclusion: 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.

Highlights

  • Comitant exotropia (CE) is a common eye movement disorder, characterized by ocular deviation and impaired stereovision function

  • The exclusion criteria of individuals with CE in this study were as follows: (1) additional ocular-related complications, (2) sensory exotropia and fixed exotropia, and (3) comitant exotropia were associated with amblyopia

  • MRI scanning was performed on a 3-Tesla magnetic resonance scanner (Discovery MR 750W system; GE Healthcare, Milwaukee, WI, USA) with an eight-channel head coil with the following parameters: repetition time/echo time (TR/TE)

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Summary

Introduction

Comitant exotropia (CE) is a common eye movement disorder, characterized by ocular deviation and impaired stereovision function. The prevalence of exotropia is 1.0% of all children (Govindan et al, 2005). Strabismus surgery is an effective treatment for patients with strabismus. Stereovision was not established in some patients with exotropia after surgery (Sturm et al, 2011). The pathological neural mechanism of impaired stereovision in patients with CE is still poorly understood. Patients with comitant exotropia (CE) are accompanied by abnormal eye movements and stereovision. The neurophysiological mechanism of impaired eye movements and stereovision in patient with CE is still unclear. Purpose: 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

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