Xiaohui Yin
Lingjun Chen2
Mingyue Ma- 1Department of Radiology, The Affiliated Xi’an Central Hospital of Xi’an Jiaotong University, Xi’an, China
- 2Department of Radiology, Gaoling District Hospital, Xi’an, China
- 3Department of CT and MRI, Weinan Hospital of Traditional Chinese Medicine, Weinan, China
Strabismus occurs in about 2% of children and may result in amblyopia or lazy eyes and loss of depth perception. However, whether/how long-term strabismus shapes the brain structure and functions in children with concomitant strabismus (CS) is still unclear. In this study, a total of 26 patients with CS and 28 age-, sex-, and education-matched healthy controls (HCs) underwent structural and resting-state functional magnetic resonance imaging examination. The cortical thickness and amplitude of low-frequency fluctuation (ALFF) were calculated to assess the structural and functional plasticity in children with CS. Compared with HCs group, patients with CS showed increased cortical thickness in the precentral gyrus and angular gyrus while decreased cortical thickness in the left intraparietal sulcus, parieto-occipital sulcus, superior and middle temporal gyrus, right ventral premotor cortex, anterior insula, orbitofrontal cortex, and paracentral lobule. Meanwhile, CS patients exhibited increased ALFF in the prefrontal cortex and superior temporal gyrus, and decreased ALFF in the caudate and hippocampus. These results show that children with CS have abnormal structure and function in brain regions subserving eye movement, controls, and high-order cognitive functions. Our findings revealed the structural and functional abnormalities induced by CS and may provide new insight into the underlying neural mechanisms for CS.
Introduction
Concomitant strabismus (CS) is the most common type of strabismus and is characterized by an equal angle of ocular misalignment in all fields of gaze, regardless of which eye is used for fixation ocular motility disorders (Robaei et al., 2006). CS develops most commonly in early childhood and presents with abnormal eye position and poor stereopsis (Oystreck and Lyons, 2012). Alternatively, children with CS often suffer from several psychosocial and emotional consequences, for example, negative social bias, increased social anxiety, and poor interpersonal relationship (Archer et al., 2005). Nevertheless, beyond the clinical data, the pathological mechanisms underlying CS remain unclear. Accordingly, it is urgently needed to deepen the current understanding of the etiology of CS, which may provide new clues of the planning of the surgery.
Magnetic resonance imaging (MRI) techniques have developed rapidly to provide a non-invasive neuroimaging method that can characterize the structural and functional changes in the brain (Singh et al., 2013; Pirnia et al., 2016; Wang et al., 2017, 2019; Xu et al., 2019b). Using structural MRI, decreased gray matter volume (GMV) and white matter volume (WMV) in the middle temporal gyrus, cerebellum posterior lobe, posterior cingulate cortex, and premotor cortex were found in CS patients, and the decreased GMV and WMV were negatively correlated with duration (Ouyang et al., 2017). In addition, patients with CS also exhibited abnormal fractional anisotropy and mean diffusivity vales in the prefrontal cortex (PFC), superior temporal gyrus, globus pallidus/brainstem, precuneus, anterior cingulate, and cerebellum posterior lobe (Huang et al., 2016a). Measuring the spontaneous brain activity, resting-state functional MRI study reported abnormal amplitude of low-frequency fluctuation (ALFF) values in the medial PFC, angular gyrus, and cerebellum posterior lobe, and the changed ALFF values in these areas were correlated with the degree of depression in adults with CS (Tan et al., 2016). The increased regional homogeneity values in the inferior temporal cortex, fusiform gyrus, cerebellum anterior lobe, lingual gyrus, and cingulate gyrus were also reported in adults with CS (Huang et al., 2016b). Moreover, CS patients had increased functional connectivity between the posterior primary visual cortex and other oculomotor regions (Yan et al., 2019). These findings suggest significant brain abnormalities in CS, which may underlie the pathologic mechanisms of fusion defects and ocular motility disorders in patients with CS. However, the above mentioned studies were focused on adults with CS, whether/how the structure and function change in children with CS remains unclear.
In the present study, the cortical thickness and ALFF were calculated in order to measure the brain structure and intrinsic activity in children with CS. Based on previous literature, we hypothesized that children with CS would exhibit abnormal cortical thickness and ALFF in brain regions subserving eye movement, cognition, and emotion.
Materials and Methods
Participants
A total of 26 patients with CS (16 males and 12 females) were recruited from the affiliated Xi’an Central Hospital of Xi’an Jiaotong University. All patients were diagnosed by two experienced ophthalmologists according to the diagnostic criteria of the Chinese Medical Association. The inclusion criteria of CS were: (1) age with 8–15 years; (2) Naked or corrected visual acuity ≥0.8, and (3) children with no anisometropia, ocular and systemic organic diseases. The exclusion criteria were: (1) amblyopia, (2) patients with a history of previous ocular surgery, including intraocular and extraocular surgery, and (3) mental illness, brain trauma, and major neurological disorders. Twenty-eight healthy controls (HCs) who were closely matched in age, gender, and education level with patients with CS were recruited through advertisements. In all participants, the current severity of anxiety and depression was evaluated using the Hamilton Anxiety Scale (HAMA) and 17 items Hamilton Depression Rating Scale (HAMD), and cognitive function was assessed using the Montreal Cognitive Assessment scale (MoCA). The written informed consent was obtained from all participants before experimentation. This study was approved by the research ethics committee of the affiliated Xi’an Central Hospital of Xi’an Jiaotong University and is in accordance with the latest revision of the Declaration of Helsinki.
MRI Acquisition
The data of all participants were collected using a Philips 3.0 T MRI scanner. Head movement and scanner noise were controlled using foam pads and headphones. Participants were instructed to keep their eyes closed, not think of anything, not fall asleep, and keep their head motionless during scanning. The T1 structural image was scanned using the following parameters: repetition time/echo time = 8.2/3.7 ms, inversion time = 1,100 ms, flip angle = 7°, acquisition matrix = 256 × 256, field of view = 256 × 256 mm2, voxel size = 1 × 1 × 1 mm3 and no gap. Resting-state fMRI data were obtained using an echo-planar imaging sequence with the following parameters: repetition time/echo time = 2,000/30 ms, matrix size = 64 × 64, field of view = 230 × 230 mm2, voxel size = 3.6 × 3.6 × 3.6 mm3, flip angle = 90°, 38 slices, gap = 0.6 mm, and 240 volumes.
Structural MRI Preprocessing
The T1-weighted images were processed using the recon-all command in Freesurfer package 6.0.0 to generate the cortical surface and cortical thickness of the whole brain. The detailed pipeline has been described elsewhere (Dale and Sereno, 1993; Dale et al., 1999). For each subject, the preprocessing stream included motion correction, removal of non-brain tissue, transformation to Talairach space, segmentation of gray/white matter tissue, reconstructing the pial surface and surface of the gray/white junction, inflation of the folding surface plane, and topology correction (Fischl et al., 1999, 2002). Then, all surface data were visually inspected and inaccuracies were manually corrected. The thickness was defined as the shortest distance between the gray/white junction and the pial surfaces at each vertex across the cortical mantle. In order to arrive at the accurate matching of thickness measurement locations among participants, the cortical thickness maps were mapped to an average surface and were smoothed using a Gaussian kernel with a full width at half maximum (FWHM) of 10 mm prior to statistical analysis.
fMRI Preprocessing
Image preprocessing was performed using the DPARSF toolbox1 based on SPM122. The first 10 volumes were discarded before subsequent processing. The remaining 230 volumes were slice-timing and head motion correction. All participants were retained under the head motion criteria of translation <1.5 mm or rotation <1.5° in any direction. The data were then spatially normalized to the standard Montreal Neurological Institute (MNI) space with a voxel size of 2 × 2 × 2 mm3. Nuisance covariates included white matter, cerebrospinal fluid, and the Friston-24 parameters of head motion were regressed out from each voxel’s time course. The data were then smoothened with FWHM = 6 mm. The linear detrend and filtering (0.01–0.08 Hz) were performed to reduce the influence of low-frequency drift and high-frequency physiological noise. Subsequently, the filtered time series of each voxel was converted to the frequency domain using a Fast Fourier Transform and the power spectrum was then obtained. The averaged square root of the power spectrum was termed as ALFF. Lastly, the ALFF maps were standardized through division by the global mean of ALFF values.
Statistical Analysis
The group differences of whole-brain cortical thickness between CS and HCs groups were conducted based on GLM models with MoCA, HAMD, and HAMA as covariates in Freesurfer, and the surface-based findings were corrected using family-wise error rate (FWE) with p < 0.05.
The ALFF distribution in the CS and HCs groups was obtained by averaging ALFF values at each voxel across subjects of each group. A two-sample t-test was performed to assess the group differences in ALFF between the CS and HCs groups with MoCA, HAMD, and HAMA as covariates. The result was multiple corrected using Gaussian random field (GRF) theory with cluster corrected p < 0.05 and a voxel height of p < 0.001.
Correlation Analysis
Pearson correlation analyses were performed to evaluate the relationship between altered cortical thickness and ALFF of those identified regions and clinical performance, e.g., disease duration, HAMD, HAMA, and MoCA scores. The statistical significance was set at p < 0.05.
Results
Demographics and Clinical Characteristics
The demographic and clinical information of the HCs and patients with CS are presented in Table 1. There were no differences in age (p = 0.95), gender (p = 0.97), and years of education (p = 0.68) between two groups. However, the patients with CS showed higher HAMA (p = 0.026) and HAMD (p = 0.018) scores, whereas lower MoCA scores (p = 0.003) than HCs.
Table 1. Characteristics of demographic and clinical variables.
Cortical Thickness Changes in CS Patients
In contrast to HCs, patients with CS showed increased cortical thickness in the left precentral gyrus and right angular gyrus, while decreased cortical thickness in the left intraparietal sulcus, parieto-occipital sulcus, superior and middle temporal gyrus, right ventral premotor cortex, anterior insula, orbitofrontal cortex, and paracentral lobule (Figure 1).
Figure 1. Group differences in cortical thickness between CS patients and HCs (FWE corrected, p < 0.05). CS, concomitant strabismus; HC, healthy control; FWE, family-wise error rate.
ALFF Changes in CS Patients
Contrast to HCs, the patients with CS showed increased ALFF in the increased ALFF in the prefrontal cortex and superior temporal gyrus, and decreased ALFF in the caudate and hippocampus (Figure 2 and Table 2).
Figure 2. The pattern of ALFF in the CS and HC groups (A) and brain regions with significant group differences in ALFF (B). Group differences in ALFF between the CS and HC groups were identified using a two-sample t-test. The statistical significance level was set at p < 0.05, GRF corrected. ALFF, the amplitude of low-frequency fluctuation; CS, concomitant strabismus; HC, healthy control.
Table 2. Group differences in ALFF between CS patients and HCs.
Correlation Results
There were no significant correlations between altered cortical thickness, ALFF values, and disease duration, HAMA, HAMD, and MoCA scores.
Discussion
This is the first study to investigate the change of structure and function of brain regions in children with CS. In contrast to HCs, CS patients showed increased cortical thickness in the precentral gyrus and angular gyrus, decreased cortical thickness in the frontal, parietal, occipital, and temporal cortex regions. Meanwhile, CS patients exhibited increased ALFF in the frontal and temporal cortex regions and decreased ALFF in the subcortical regions. These results provided novel evidence to deepen our understanding of the pathological mechanism underlying children with CS.
Children with CS showed abnormal cortical thickness in brain regions subserving visual information processing and eye movement. The occipitotemporal sulcus has been called a visual word form area (Mano et al., 2013), with the posterior part structurally connected to the intraparietal sulcus and involved in visual feature extraction; and the anterior part structurally connected to the angular gyrus and involved in integrating information with the language network (Wang et al., 2012; Wang et al., 2015b; Lerma-Usabiaga et al., 2018). Parieto-occipital sulcus acts as an interface between the dorsal and ventral streams of visual processing in disparity-defined near and far space processing (Wang et al., 2016, 2019). The precentral gyrus is a part of the primary motor cortex which is involved in ocular movement (Halsband et al., 1994). The frontal eye field (FEF) controls saccade modulation (Ohayon et al., 2013) and triggers the generation of saccade movements (Keller et al., 2008). The middle temporal gyrus is responsible for three-dimensional surface orientation and retinal image velocities (Nguyenkim and DeAngelis, 2003; Xu et al., 2015, 2019a). The lesions of these regions lead to ocular movement disorders. Significantly decreased GMV and WMV in the premotor cortex and middle temporal gyrus in adults with CS (Ouyang et al., 2017), and increased GMV in the FEF in adult strabismus (Chan et al., 2004) were previously reported. Strabismic amblyopia showed abnormal mean diffusion in the occipital tracts and the association tracts connecting the visual cortex to the frontal and temporal lobes (Duan et al., 2015). Moreover, strabismic amblyopia patients showed lower degree centrality value in the angular gyrus (Wu et al., 2020), and increased ReHo values in the cingulate gyrus (Huang et al., 2016b). Our results together with previous findings implied that CS may lead to the aberrant structure of visual cortex regions for impaired oculomotor in the CS patients.
More interestingly, CS patients reported decreased cortical thickness and increased ALFF in the high-order cognitive regions. PFC is interconnected with visual cortical areas and influences visual representations in sensory areas through attentional demands (Yeterian et al., 2012). The frontomarginal gyrus is a part of the orbitofrontal cortex which plays a central role in visuo-affective prediction (Chaumon et al., 2014). Lateral PFC modulates high-order attention control and provides a substrate for discriminating between perceptual and mnemonic representations of visual features (Wu et al., 2016; Mendoza-Halliday and Martinez-Trujillo, 2017). The superior temporal gyrus is involved in the comprehension of language (Kovelman et al., 2015; Wang et al., 2015a) and auditory-visual processing (Reale et al., 2007). Insula and rolandic operculum are involved in a multisensory integration center for spatial orientation and ocular motor function (Dieterich et al., 1998; Nagai et al., 2007; Wang et al., 2018, 2020). The abnormal structure and function of these high-order cognition regions were previously reported to be associated with strabismus. Abnormal fractional anisotropy and mean diffusivity values in the superior temporal gyrus and lateral PFC regions were reported in CS adults (Huang et al., 2016a). Moreover, increased degree centrality values in the superior temporal gyrus and decreased values in the lateral PFC in adults with comitant exotropia strabismus (Tan et al., 2018). Decreased long-range functional connectivity density in the insula, rolandic operculum, and lateral PFC were found in children with anisometropic amblyopia (Wang et al., 2014). Consistent with previous studies, our result further revealed the altered structure and function in high-order cortical regions in children with CS and highlighted the neural basis underlying abnormal top-down control visual attention in patients.
CS patients also exhibited decreased ALFF in the caudate and hippocampus. The caudate and hippocampus are a part of the visual loop, which is involved in eye movement control and visual working memory, in particular selecting or gating which visual representations should be maintained and processed in working memory (Seger, 2013). The caudate is implicated in dynamic visual information processing, saccade control, and eye movement (Nagypál et al., 2015), while the hippocampus is implicated in visual discrimination of complex spatial scene stimuli (Lee et al., 2012). A voxel-mirrored homotopic connectivity study reported increased interhemispheric functional connectivity in the caudate and hippocampus in patients with strabismic amblyopia (Zhang et al., 2021). In the present study, we speculated that the dysfunction of subcortical regions perhaps contributed to the dysfunction of eye movement and visual working memory in children with CS.
There are still some limitations in our study. First, this is a cross-study and longitudinal studies are warranted to better reveal the neuropathology of CS. Second, only cortical thickness was studied in this study. How cortical area and complexity changes in CS are deserved to be investigated since the three indices reflect different genetic information. Third, the sample size of this study is small. The expiations of these results should be cautious and the results need to be further validated in future studies.
Conclusion
In this study, we reported abnormal structure and function in children with CS for the first time. CS patients exhibited not only abnormal oculomotor control but also impaired high-order cognitive and affective functions, which provides a neural basis for understanding the pathophysiology of CS. These findings suggest the importance of investigating the brain alteration to improve our understanding of CS. Future research is needed to further explore the neural basis of CS using the brain connectivity method.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The studies involving human participants were reviewed and approved by affiliated Xi’an Central Hospital of Xi’an Jiaotong University. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
All the authors have made substantial contribution to this work. All authors contributed to the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Footnotes
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Keywords: concomitant strabismus, cortical thickness, ALFF, structural MRI, resting-state fMRI
Citation: Yin X, Chen L, Ma M, Zhang H, Gao M, Wu X and Li Y (2021) Altered Brain Structure and Spontaneous Functional Activity in Children With Concomitant Strabismus. Front. Hum. Neurosci. 15:777762. doi: 10.3389/fnhum.2021.777762
Received: 15 September 2021; Accepted: 25 October 2021;
Published: 15 November 2021.
Edited by:
Bochao Cheng, Sichuan University, ChinaReviewed by:
Lijie Wang, University of Electronic Science and Technology of China, ChinaJingjing Gao, University of Electronic Science and Technology of China, China
Copyright © 2021 Yin, Chen, Ma, Zhang, Gao, Wu and Li. 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.
*Correspondence: Yongqiang Li, wnlyq8688@163.com