Abstract
Objective
Previous neuroimaging studies have demonstrated that pain-related diseases are associated with brain function and anatomical abnormalities, whereas altered synchronous neural activity in acute eye pain (EP) patients has not been investigated. The purpose of this study was to explore whether or not synchronous neural activity changes were measured with the regional homogeneity (ReHo) method in acute EP patients.
Methods
A total of 20 patients (15 males and 5 females) with EP and 20 healthy controls (HCs) consisting of 15 and 5 age-, sex-, and education-matched males and females, respectively, underwent resting-state functional magnetic resonance imaging. The ReHo method was applied to assess synchronous neural activity changes.
Results
Compared with HCs, acute EP patients had significantly lower ReHo values in the left precentral/postcentral gyrus (Brodmann area [BA]3/4), right precentral/postcentral gyrus (BA3/4), and left middle frontal gyrus (BA6). In contrast, higher ReHo values in acute EP patients were observed in the left superior frontal gyrus (BA11), right inferior parietal lobule (BA39/40), and left precuneus (BA7). However, no relationship was found between the mean ReHo signal values of the different areas and clinical manifestations, which included both the duration and degree of pain in EP patients.
Conclusion
Our study highlighted that acute EP patients showed altered synchronous neural activities in many brain regions, including somatosensory regions. These findings might provide useful information for exploration of the neural mechanisms underlying acute EP.
Keywords: acute eye pain, corneal pain, regional homogeneity, resting state, functional magnetic resonance imaging
Introduction
Eye pain (EP) is a common symptom in various eye diseases. Acute corneal pain is the main form of serious EP. The cornea is supplied by the ophthalmic branch of the trigeminal nerve and is one of the most densely innervated structures in the body. Thus, serious corneal pain usually occurs in keratitis and corneal ulcer patients. According to a survey from central China, the prevalence of infectious keratitis was 0.148%.1 Corneal pain is not only associated with eye symptoms, including photophobia and tears, but is also accompanied by headaches.2
In one study, corneal pain was shown to activate the trigemino-parabrachial pathway.3 A previous study in mice demonstrated that corneal pain could lead to neuronal activation in the spinal trigeminal nucleus, insular cortex, and anterior cingulated cortex.4 Meanwhile, a study involving neuroimaging research indicated that corneal pain in patients appeared to be associated with activation of the primary somatosensory cortex.5 Furthermore, EP has been frequently shown to be accompanied by mental disorders. Crane et al reported that the neuropathic EP patients demonstrated psychiatric problems/disease.6 A recent study highlighted that psychiatric or neurological disorders may occur in dry eye patients with neuropathic EP syndrome.7 Chronic EP in individuals was shown to be accompanied by depression.8 Moreover, two previous studies indicated that chronic pain may be linked to mental disorders.9,10 However, there are only a few studies that have focused on synchronous neural activity changes in EP patients. Whether or not acute EP leads to the cerebral activity changes remains unknown.
Synchronous neuronal activity occurs in the normal human brain.11 Synchronous neuronal activity plays a critical role in learning and memory.12 In addition, reliable propagation of synchronous neuronal activity was shown to be crucial for neuronal information processing.13 Several previous electroencephalographic and functional magnetic resonance imaging (fMRI) studies indicated that synchronous neuronal activity might have a critical role in neurophysiological activity.14–16 Resting-state (rs)-fMRI is an effective method that has been successfully applied for changes in brain activity evaluations. The regional homogeneity (ReHo) method, a resting-state fMRI (rs-fMRI) measurement method, is thought to be a reliable and sensitive measurement, which can be used to evaluate coherence of the blood oxygen level-dependent (BOLD) signal among neighboring voxels of the whole brain at rest.17,18 The ReHo method is widely used to investigate the local synchronization of spontaneous fMRI signals. Moreover, the high test–retest reliability of ReHo has been confirmed by careful optimization of the data, pre-processing, and computational implementation. ReHo was developed to evaluate regional resting-state brain activity.19 Using the ReHo method, Yoshino et al found that distinct brain functions were related to depression and chronic pain.20 Another ReHo study demonstrated that persistent somatoform pain disorder was associated with dysfunction of brain activity in many regions.21 In our previous studies, the ReHo method was successfully used to assess synchronous neural activities in some eye diseases such as optic neuritis,22 comitant strabismus,23 and acute open-globe injury.24
Our study is the first to use the ReHo method for evaluating synchronous neural activity changes in acute EP patients. We hypothesized that acute EP might be associated with the altered pain-related brain regions.
Participants and methods
Participants
The research protocol was approved by the Medical Ethics Committee of the Ophthalmology Department of the First Affiliated Hospital of Nanchang University. All subjects participated voluntarily and provided written informed consent. All participants enrolled in the study met the following inclusion criteria: 1) were able to be scanned with an MRI (no cardiac pacemaker or implanted metal devices); 2) no cardiovascular system diseases such as heart disease and/or hypertension; 3) no psychiatric disorders (depression and/or anxiety disorders); and 4) no cerebral infarction diseases (cerebral hemorrhage, cerebral infarction, and/or cerebral vascular malformations).
Twenty patients with acute EP (15 males and 5 females) participated in the study. The mean duration of acute EP was 27±6.21 days (range 21–33 days). The diagnostic criteria of EP patients included two parameters: 1) acute EP patients with keratitis or corneal ulcers and 2) both eyes without any other ocular diseases (strabismus, amblyopia, cataracts, glaucoma, optic neuritis, and/or retinal degeneration).
The exclusion criteria of EP included the following parameters: 1) long-term, chronic (>3 months) EP; 2) EP due to ocular trauma; 3) EP with serious related complications (ocular perforation, endophthalmitis, and/or orbital cellulitis); 4) no painkillers prior to fMRI scanning; and/or 5) EP associated with headaches or pains in other parts of the body.
Twenty (15 males and 5 females) healthy controls (HCs) participated in the study and were matched to EP patients with respect to in age, sex, and education. All HCs met the two criteria: 1) without any ocular diseases (dry eye, strabismus, amblyopia, cataracts, glaucoma, optic neuritis, retinal degeneration, and others), and 2) naked eye corrected visual acuity >1.0.
MRI parameters
MRI scanning was performed with a 3-Tesla MR scanner (Trio, Siemens, Munich, Germany). The whole-brain T1-weights were obtained with a magnetization-prepared gradient echo image (MPRAGE) with certain parameters: 1) repetition time =1,900 ms; 2) echo time =2.26 ms; 3) thickness =1.0 mm; 4) gap =0.5 mm; 5) acquisition matrix =256×256; 6) field of view =250×250 mm; and 7) flip angle =9°. Functional images involved repetition time =2,000 ms, echo time =30 ms, thickness =4.0 mm, gap =1.2 mm, acquisition matrix =64×64, flip angle =90°, and field of view =220×220 mm. Twenty-nine axial slices covering the entire brain were corrected.
fMRI data processing
The functional images were analyzed as describe previously.24 Briefly, the data were filtered by software (www.MRIcro.com) and preprocessed using the Statistical Parametric Mapping SPM8 (http://www.fil.ion.ucl.ac.uk/spm/) and Data Processing Assistant for rs-fMRI DPARSFA (http://rfmri.org/ DPARSF) software.25 The first 10 volumes of each subject were discarded due to the signal reaching equilibrium. The remaining 230 volumes of functional BOLD images were corrected for slice timing effects and motion. Individual T1-weighted MPRAGE structural images were registered to the mean fMRI data, and then the resulting aligned T1-weighted images were segmented using the diffeomorphic anatomical registration through the exponentiated Lie algebra toolbox for improving spatial precision in normalization of fMRI data.26 The fMRI images were detrended and band pass-filtered (0.01–0.08 Hz) in order to reduce the effects of low-frequency drift and physiological high-frequency respiratory and cardiac noise.27 Based on Kendall’s coefficient of concordance, each brain voxel was calculated in a voxel-wise manner by applying a cluster size of 26 voxels. According to the protocol from a previous study, we did not regress the global signal out.28 Finally, the remaining data were smoothed with a Gaussian kernel of 4×4×4 mm3 full-width at half-maximum.
ReHo statistical analysis
The ReHo calculation was performed with REST (http://www.restfmri.net) software. The ReHo was used to analyze rs-fMRI data. The indices of locally synchronous activity were measured by calculating the voxel-wise similarities in activity fluctuations over a given voxel time course. ReHo values indicated regionally localized temporal synchronization within the cluster by using different spatial scales that had a direct dependence on their neighbors’ cluster sizes. ReHo calculations at rest were done as previously described.29 To exclude the effects of confounding covariates on ReHo values, age, sex, and total brain volume were included as covariates in the analysis. Covariates of age, sex, and brain volume were regressed out using the DPARSF software toolbox.25
Statistical analysis
The cumulative clinical measurements, including the duration of EP onset, were analyzed in the study with an independent sample t-test using SPSS version 16.0 (SPSS Inc, Chicago, IL, USA). P<0.05 was considered to indicate significant differences. The visual analog scale pain scores were obtained for all EP subjects.
Statistical analysis was performed using a general linear model with the SPM8 toolkit. ReHo maps were transformed to z-score maps. Areas with significant changes of frequency or overall ReHo were selected as regions of interest (ROIs). Paired t-tests were used to examine the differences in ReHo at different frequency bands in these ROIs between the EP groups and the HCs (P<0.01) for multiple comparisons using Gaussian Random Field (GRF) theory (z>2.3, P<0.01, cluster >40 voxels, AlphaSim corrected). The mean ReHo values in the different brain regions between the two groups were analyzed using receiver operating characteristic (ROC) curves. The Pearson’s correlation was used to evaluate the relationship between the mean ReHo values in different brain regions in the EP group versus HCs and also between behavioral performances in both groups.
Results
Demographics and visual measurements
We did not find any differences in weight (P=0.845) or age (P=0.796) between the two groups (P>0.05). The mean ± standard deviation of the EP duration was 27±6.21 days (more details are given in Table 1).
Table 1.
Condition | EP | HC | t-value | P-value* |
---|---|---|---|---|
Male/female | 15/5 | 15/5 | N/A | >0.99 |
Age (years) | 51.62±5.20 | 51.26±5.27 | 0.260 | 0.796 |
Weight (kg) | 63.56±7.12 | 63.18±6.68 | 0.197 | 0.845 |
Handedness | 20R | 20R | N/A | >0.99 |
Duration of EP (days) | 27±6.21 | N/A | N/A | N/A |
VAS pain scores | 4.05±0..94 | N/A | N/A | N/A |
Notes:
P<0.05, independent t-tests comparing two groups; the data are shown in mean ± standard deviation.
Abbreviations: HC, healthy control; N/A, not applicable; EP, eye pain; VAS, visual analog scale.
ReHo differences
Compared with HCs, acute EP patients had significantly lower ReHo values in the left precentral/postcentral gyrus (Brodmann area [BA]3/4), right precentral/postcentral gyrus (BA3/4), and left middle frontal gyrus (BA6) as shown in Figure 1A and B (blue) and Table 2. Meanwhile, higher ReHo values in the EP patient group were observed in the left superior frontal gyrus (BA11), right inferior parietal lobule (BA39/40), and left precuneus (BA7) as shown in Figure 1A and B (red) and Table 2 (P<0.01 for multiple comparisons using the GRF theory, z>2.3, P<0.01, cluster >40 voxels, AlphaSim corrected). The mean values of altered ReHo values between the two groups are shown with a histogram (Figure 1C). In the EP group, we did not find any correlation between the mean ReHo values in different brain regions and clinical manifestations (P>0.05).
Table 2.
Brain regions/conditions | BA | MNI coordinates
|
Cluster size | t-value | ||
---|---|---|---|---|---|---|
X | Y | Z | ||||
Eye pain < HCs | ||||||
Left precentral/postcentral gyrus | 3/4 | −39 | −24 | 45 | 187 | −3.803 |
Right precentral/postcentral gyrus | 3/4 | 57 | −18 | 36 | 149 | −3.661 |
Left middle frontal gyrus | 6 | −24 | −9 | 48 | 49 | −4.452 |
Eye pain > HCs | ||||||
Left superior frontal gyrus | 11 | −21 | 51 | −18 | 54 | 4.31 |
Right inferior parietal lobule | 39/40 | 48 | −63 | 42 | 70 | 5.124 |
Left precuneus | 7 | 3 | −63 | 30 | 81 | 4.051 |
Notes: The statistical threshold was set at the voxel level with P<0.05 for multiple comparisons using Gaussian Random Field theory (z>2.3, P<0.01, cluster >40 voxels, AlphaSim corrected).
Abbreviations: ReHo, regional homogeneity; BA, Brodmann area; HCs, healthy controls; MNI, Montreal Neurological Institute.
ROC curve
We hypothesized that the differences in ReHo values between the EP and HC groups might be useful as diagnostic markers. The mean ReHo values in different brain regions were analyzed using the ROC method. The area under the ROC curve stands for diagnostic rate. The area under the curve (AUC) values of 0.5–0.7 indicate low accuracy, AUC values of 0.7–0.9 indicate middle accuracy, and AUC values >0.9 indicate high accuracy. The areas under the ROC curve for ReHo values yielded the following values: left precentral/postcentral gyrus 0.873; right precentral/postcentral gyrus 0.875; left middle frontal gyrus 0.878 (Figure 2A, EPs < HCs); left superior frontal gyrus 0.860; right inferior parietal lobule 0.873; and left precuneus 0.832 (Figure 2B, EPs > HCs).
Discussion
To our knowledge, this is the first study to investigate synchronous neural activity changes, measured by the ReHo method, in acute EP patients. In our study, EP patients had significantly lower ReHo values in the left precentral/postcentral gyrus (BA3/4), right precentral/postcentral gyrus (BA3/4), and left middle frontal gyrus (BA6). Nevertheless, the higher ReHo values in acute EP patients were observed in the left superior frontal gyrus (BA11), right inferior parietal lobule (BA39/40), and left precuneus (BA7).
The postcentral gyrus, known as the primary somatosensory cortex (S1), plays a critical role in the sense of touch30 and social touch.31 In addition, S1 is involved in representation of pain.32,33 Previous neuroimaging studies have shown that many pain-related diseases may be involved in S1 dysfunction. Pijnenburg et al demonstrated that patients with low back pain showed decreased functional connectivity in the left precentral gyrus and lobule and left cerebellum when compared with HCs.34 Another study reported that traumatic spinal cord injury and pain symptoms in patients were associated with reduced gray matter (GM) volumes in their left secondary somatosensory cortex.35 Previous studies demonstrated that the altered GM volume was linked to ReHo value changes.36,37 A recent study showed that rheumatoid arthritis patients with chronic pain exhibited increased brain connectivity in the supplementary motor areas.38 In support of these findings, we found that individuals with acute EP exhibited significantly lower ReHo values in the bilateral postcentral gyrus (BA3), indicating dysfunction of cerebral activities in postcentral gyrus. Therefore, we speculate that individuals with acute EP may have associated dysfunctional brain activity in the postcentral gyrus.
The precentral gyrus (BA4) is the site of the primary motor cortex (M1), which plays an important role in motor performance39 and muscle and movement control.39 Previous studies demonstrated that electrical stimulation of the precentral gyrus may be a good treatment for central pain.40,41 Yoshino et al reported that somatoform pain showed activation in the precentral gyrus.42 In our study, we found that EP patients have significantly lower ReHo values in the bilateral precentral gyrus (BA4), which reflects M1 dysfunction. Thus, our results suggest that acute EP may lead to motor control dysfunction.
It is well known that the middle frontal gyrus plays an important role in cognitive and attention function.43 Several previous studies demonstrated that frontal gyrus dysfunction occurred in depressed patients.44–46 According to surveys in China, dry eyes and corneal symptoms in individuals appear to be associated with depression in these individuals.47,48 In our study, we found that EP patients showed lower ReHo values in the left middle frontal gyrus (BA6), which reflects middle frontal gyrus dysfunction. Thus, we speculate that middle frontal gyrus dysfunction might be related to depression in EP patients.
The precuneus (BA7) is a part of the superior parietal lobule, which plays a critical role in coordination of motor skills49 and working memory.50 In addition, the precuneus is a core constituent of the default-mode network (DMN).51 The precuneus was shown to be related to pain sensitivity in healthy adults.52 In our study, we demonstrated that the acute EP patients show increased ReHo values in the left precuneus, which indicates left precuneus dysfunction. We speculate that acute EP might lead to the dysfunction of the DMN.
Conclusion
In summary, our results revealed that acute EP patients showed altered synchronous neural activities in many brain regions, including somatosensory regions. These findings might provide useful information for exploration of neural mechanisms in acute EP patients.
Acknowledgments
This work was supported by grants from the National Natural Science Foundation of China (numbers 81660158, 81460092, 81400372, and 81400424), Natural Science Key Project of Jiangxi Province (number 20161ACB21017), Youth Science Foundation of Jiangxi Province (number 20151BAB215016), Key Research Development Foundation of Jiangxi Province (number 20151BBG70223), Key Education Department Foundation of Jiangxi Province (number GJJ160020), Education Department Foundation of Jiangxi Province (number GJJ160122), and Health Development Planning Commission Science Foundation of Jiangxi Province (numbers 20164017, 20175115, and 20175116).
Footnotes
Disclosure
This was not an industry-supported study. The authors report no conflicts of interest in this work.
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