Abnormal regional spontaneous neural activity in visual pathway in retinal detachment patients: a resting-state functional MRI study

Abstract

Objective

The aim of the study was to investigate changes of brain neural homogeneity in retinal detachment (RD) patients using the regional homogeneity (ReHo) method to understand their relationships with clinical features.

Materials and methods

A total of 30 patients with RD (16 men and 14 women), and 30 healthy controls (HCs) (16 men and 14 women) closely matched in age and sex were recruited. Resting-state functional magnetic resonance imaging scans were performed for all subjects. The ReHo method was used to investigate the brain regional neural homogeneity. Patients with RD were distinguished from HCs by receiver operating characteristic curve. The relationships between the mean ReHo signal values in many brain regions and clinical features in RD patients were calculated by Pearson correlation analysis.

Results

Compared with HCs, RD patients had significantly decreased ReHo values in the right occipital lobe, right superior temporal gyrus, bilateral cuneus and left middle frontal gyrus. Moreover, we found that the mean ReHo signal of the bilateral cuneus showed positive relationships with the duration of the RD (r=0.392, P=0.032).

Conclusion

The RD patients showed brain neural homogeneity dysfunction in the visual pathway, which may underline the pathological mechanism of RD patients with acute vision loss. Besides, the ReHo values can reflect the progress of the RD disease.

Keywords:

• retinal detachment
• neural regional homogeneity
• resting state
• functional magnetic resonance imaging

Introduction

Retinal detachment (RD) is a severe eye disease in which the retina separates from the layer underneath. RD is often characterized by floaters, flashes and visual field defects.¹ According to a survey in Scotland, the annual incidence of rhegmatogenous RD is 12.05 per 100,000 in Scotland.² The occurrence of RD is associated with various risks including high myopia,³ ocular trauma⁴ and vitreous detachment.⁵ The RD is accompanied by a variety of complications such as proliferative vitreoretinopathy (PVR),⁶ vitreous hemorrhage⁷ and even blindness.⁸ At present, surgery is the main treatment of RD.⁹

Currently, ocular ultrasound and optical coherence tomography (OCT) are the noninvasive technologies used to detect RD. The ocular ultrasound was effective for diagnosis of RD.¹⁰ However, ultrasound can only roughly judge for RD, as it cannot indicate the scope and degree of RD. The OCT can not only make effective diagnoses of RD,¹¹ but it can also provide useful information about the microstructure changes of the retinal layers in RD patients.¹² Besides, the OCT can help in surgical planning of RD.¹³ Moreover, the spectral-domain OCT can reveal the integrity of the intermediate line and changes in the thickness of the outer nuclear layer, which is an important index for the recovery of visual outcomes after RD repair.¹⁴ The abovementioned researches only focus on the abnormal ocular changes in RD patients. Visual pathways include the retina through the optic nerve to the visual cortex. However, whether RD leads to abnormalities of other visual systems, including the visual pathways and the visual cortex, remains unknown.

Resting-state functional magnetic resonance imaging (rs-fMRI) is an effective method, which has been applied successfully to evaluate the changes of brain activity. The regional homogeneity (ReHo) method, an 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 signal among neighboring voxels of the whole brain at rest.^15,16 The ReHo method is widely used to investigate the local synchronization of spontaneous fMRI signals. In our previous studies, the ReHo method has been successfully used to assess the neurological conditions in some eye diseases such as optic neuritis¹⁷ and comitant strabismus.¹⁸

Here, our study is the first to evaluate regional spontaneous neural activity changes in RD patients using the ReHo method. We hypothesized that RD might lead to abnormal visual cortex activity.

Materials and methods

Subjects

A total of 30 patients with RD (16 men and 14 women) were recruited from the Ophthalmology Department of the First Affiliated Hospital of Nanchang University. The inclusion criteria of the study in RD patients were 1) idiopathic RD patients with one or two retinal tear(s); 2) the range of RD being no more than two quadrants; and 3) bilateral eye without any ocular diseases (cataracts, glaucoma, optic neuritis, maculopathy, and so on).

The exclusion criteria of RD in the study were 1) recurrent RD or recurrent after RD repairment operation; 2) RD due to ocular trauma; 3) RD with serious related complications (PVR, vitreous hemorrhage, macular degeneration, and so on); 4) RD patients with a history of laser treatment or surgery; 5) with cardiovascular system diseases such as heart disease and hypertension and 6) with psychiatric disorders and cerebral infarction diseases.

Thirty healthy controls (HCs) (16 men and 14 women) who were age-, sex- and status-matched to subjects in the RD group were also enrolled for this study. All HCs met the following criteria: 1) no ocular disease with uncorrected visual acuity (VA) >1.0; 2) no psychiatric disorders (depression, bipolar disorder); and 3) ability to be scanned with an MRI (eg, no cardiac pacemaker or implanted metal devices).

The protocol of this research was approved by the First Affiliated Hospital of Nanchang University Medical Ethics Committee, and followed the tenets of the Declaration of Helsinki. All subjects provided written informed consent to participate.

MRI parameters

MRI scanning was performed on a 3-Tesla MR scanner (Trio, Siemens, Munich, Germany). The whole-brain T1-weighted images were obtained with spoiled gradient-recalled echo sequence with the parameters: (repetition time =1,900 ms, echo time =2.26 ms, thickness =1.0 mm, gap =0.5 mm, acquisition matrix =256×256, field of view =250×250 mm, flip angle =9°). Functional images with the parameters (repetition time =2,000 ms, echo time =30 ms, thickness =4.0 mm, gap =1.2 mm, acquisition matrix =64×64, flip angle =90°, field of view =220×220 mm, 29 axial) were corrected.

fMRI data processing

The functional images were analyzed as described previously.¹⁸ Briefly, the data were filtered by software and preprocessed using Statistical Parametric Mapping SPM8 (The MathWorks, Inc., Natick, MA, USA) and Data Processing Assistant for rs-fMRI DPARSFA (Institute of Psychology, CAS., Beijing, People’s Republic of China) software.¹⁹ The first 10 volumes of each subject were discarded because of the signal reaching equilibrium. After head motion was corrected, spatial smoothing was done. The fMRI images were detrended and band-pass-filtered (0.01–0.08 Hz) to reduce the effects of low-frequency drift and physiological high-frequency respiratory and cardiac noise.²⁰ Based on Kendall’s coefficient of concordance (KCC), each voxel in the brain was calculated voxelwise by applying a cluster size of 26 voxels. We did not regress the global signal out according to a previous study.²¹ Finally, the remaining data were smoothed with a Gaussian kernel of 6×6×6 mm 3 full-width at half-maximum.

ReHo statistical analysis

ReHo computation was performed with REST software (Institute of Psychology, CAS.).¹⁶ ReHo analysis was performed to assess the consistency and similarity for each individual by calculating the KCC of the time series of one given voxel with those of its adjacent voxels in a voxelwise analysis based on the assumption that a voxel was temporally similar to those of its neighbors.

Statistical analysis

The cumulative clinical measurements, including the duration of the onset of RD, were analyzed in the study with an independent-sample t-test using SPSS version 16.0 (SPSS Inc, Chicago, IL, USA) (P<0.05 significant differences).

Statistical analysis was performed with a general linear model analysis using the SPM8 toolkit. The two-sample t-tests were used to examine the differences in the ReHo maps between the RD groups and the health controls (P<0.01) for multiple comparisons using Gaussian random field 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 by the receiver operating characteristic (ROC) curves method. Pearson correlation was used to evaluate the relationship between the mean ReHo values in different brain regions in the RD group and behavioral performances (P<0.05 significant differences).

Results

Demographics and visual measurements

We did not find any significant differences in age (P=0.903) and weight (P=0.816), and there were significant differences in best-corrected VA-right (P<0.001) and best-corrected VA-left (P=0.001) between the two groups. Meanwhile, the mean values of the duration of RD were 24.05±19.61 days (Table 1).

Table 1 Demographics and clinical measurements by group

Condition	RD	HC	t	P-value*
Male/female	16/14	16/14	N/A	>0.99
Age (years)	51.40±7.72	51.17±6.95	0.123	0.903
Weight (kg)	67.17±3.21	66.93±4.42	0.234	0.816
Handedness	30R	30R	N/A	>0.99
Duration of RD (days)	24.05±19.61	N/A	N/A	N/A
Best-corrected VA-right eye	0.60±0.55	1.03±0.28	−3.729	<0.001
Best-corrected VA-left eye	0.61±0.59	1.01±0.28	−3.370	0.001

Notes:

* P<0.05 independent t-tests comparing two groups. Data shown as mean ± standard deviation.

Abbreviations: RD, retinal detachment; HC, healthy control; N/A, not applicable; VA, visual acuity.

ReHo differences

Compared with HCs, RD patients had significantly decreased ReHo values in the right occipital lobe, right superior temporal gyrus (STG), bilateral cuneus and left middle frontal gyrus (MFG) (Figure 1A and B [blue]; Table 2) (z>2.3, P<0.01, cluster >40 voxels, AlphaSim corrected). The mean values of altered ReHo between the two groups are shown in Figure 1C. In the RD group, the mean ReHo signal of the bilateral cuneus showed the positive relationships with the duration of the RD (r=0.392, P=0.032) (Figure 2).

Figure 1 Spontaneous brain activity in the RDs and HCs. Significant activity differences were observed in the right occipital lobe, right superior temporal gyrus, bilateral cuneus and left middle frontal gyrus for multiple comparisons using Gaussian random field theory (z>2.3, P<0.01, cluster >40 voxels, AlphaSim corrected). (A) and (B) The mean values of altered ReHo values between the RD and HC groups (C).

Abbreviations: ReHo, regional homogeneity; RD, retinal detachment; HC, healthy controls; L, left; R, right.

Figure 2 Correlations between the mean ReHo signal values and behavioral performance.

Note: In the RDs group, the mean ReHo signal of the bilateral cuneus showed positive relationships with the duration of the RD (r=0.392, P=0.032).
Abbreviations: ReHo, regional homogeneity; RD, retinal detachment.

Table 2 Brain areas with significantly different ReHo values between two groups

Brain areas	MNI coordinates			Cluster size	BA	L/R	Peak T-values
	x	y	z
RDs < HCs
Occipital lobe	18	−69	−3	110	18	R	−4.193
Superior temporal gyrus	60	−63	15	54	39	R	−3.462
Cuneus	−3	−87	39	181	19	B	−4.295
Middle frontal gyrus	−30	63	12	41	10	L	−3.554

Note: 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: B, bilateral; BA, Brodmann area; HCs, healthy controls; L, left; MNI, Montreal Neurological Institute; R, right; RD, retinal detachment; ReHo, regional homogeneity.

Receiver operating characteristic curve

We speculated that the ReHo differences between the two groups might be useful diagnostic markers. Thus, the mean ReHo values in the different brain regions were analyzed by the ROC curves method. The areas under the ROC curve were as follows: the right occipital lobe (0.807); right STG (0.764); bilateral cuneus (0.744) and left MFG (0.750) (RDs < HCs) (Figure 3).

Figure 3 ROC curve analysis of the mean ReHo values for altered brain regions.

Notes: The areas under the ROC curve were 0.807 (P<0.001; 95% CI: 0.698–0.915) for the right occipital lobe; 0.764 (P<0.001; 95% CI: 0.640–0.889) for the right superior temporal gyrus; and 0.744 (P=0.001; 95% CI: 0.620–0.869) for the bilateral cuneus; 0.750 (P=0.001; 95% CI: 0.627–0.873) for the left middle frontal gyrus (RDs < HCs).
Abbreviations: HCs, healthy controls; RD, retinal detachment; ReHo, regional homogeneity; ROC, receiver operating characteristic.

Discussion

To our knowledge, the study is the first to investigate the regional spontaneous neural activity changes in RD patients using the ReHo method. In our study, RD patients had significantly decreased ReHo values in the right occipital lobe, right STG, bilateral cuneus and left MFG. Moreover, we found that the mean ReHo signal of the bilateral cuneus showed positive relationships with the duration of the RD (r=0.392, P=0.032).

The occipital lobe is the anatomical region of the visual cortex, which plays a critical role in visual processing. The primary visual cortex is an important part of the occipital lobe, which receives the visual signals from the lateral geniculate body through visual radiation.²² The normal function of the retinal ganglion cells plays a critical role in visual stimulation. The pathological mechanism of RD is when the retinal neuroepithelium separates from the pigment epithelium.²³ The RD may lead to impaired visual evoked potentials.²⁴ Besides, the RD patients were associated with visual loss.²⁵ In our study, we found that the RD patients had significantly decreased ReHo values in the right occipital lobe, which reflected the dysfunction of the local synchronization of brain activities in the brain region. Therefore, we speculated that RD not only leads to abnormal function of the retina, but also affects the function of the visual cortex.

The cuneus is a part of the occipital lobe, which plays an important role in visual processing. The anteromedial cuneus is needed to interact with the primary visual cortex V1 to encode visual information to the extrastriate cortices.²⁶ Meanwhile, the cuneus is part of the visual pathway, which is involved in spatial location.²⁷ Moreover, the dysfunction of the cuneus is seen in many diseases, such as trigeminal neuralgia²⁸ and panic disorder.²⁹ In our study, we found that the RD patients showed significantly decreased ReHo values in the bilateral cuneus, which indicated the dysfunction of the local synchronization of brain activities. Moreover, the ReHo signal of the bilateral cuneus showed positive relationships with the duration of the RD (r=0.392, P=0.032). Thus, we speculated that the RD patients were associated with impaired brain activities in the cuneus. Besides, the degree of impaired cuneus may reflect the progress of the RD disease.

The STG is located in the temporal lobe, which plays an important role in auditory processing³⁰ and auditory memory.³¹ The STG is also involved in visual search insights³² and visual information processing.³³ In our study, we found that the RD patients showed decreased ReHo values in the right STG, which reflects the impaired synchronization of brain activities in the STG. We speculated that RD might lead to the dysfunction of auditory and visual information processing.

The MFG is a part of frontal gyrus, which is involved in the contingency awareness³⁴ and cognition.³⁵ Besides, the MFG is associated with executive attention.³⁶ In our study, we found that the RD patients had significantly decreased ReHo values in the left MFG, which might indicate that RD leads to the dysfunction of cognitive activities.

Conclusion

In summary, our results showed that the RD patients had brain neural homogeneity dysfunction in the visual pathway, which may underline pathological mechanisms of the RD patients with acute vision loss. Besides, the ReHo values can reflect the progress of the RD disease.

Acknowledgments

This work was supported by grants from the National Natural Science Foundation of China (No: 81660158, 81160118, 81460092, 81400372); Jiangxi Province Voyage Project (No: 2014022); Natural Science Key Project of Jiangxi Province (No: 20161ACB21,017); Youth Science Foundation of Jiangxi Province (No: 20151BAB215016); Technology and Science Foundation of Jiangxi Province (No: 20151BBG70223); Health Development Planning Commission Science Foundation of Jiangxi Province (No: 20175115, 20175116).

Disclosure

The authors report no conflicts of interest in this work.