Neural Plasticity

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Reestablishing Neural Plasticity in Regenerated Spiral Ganglion Neurons and Sensory Hair Cells for Hearing Loss 2020

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Research Article | Open Access

Volume 2020 |Article ID 9460364 | https://doi.org/10.1155/2020/9460364

Jiawei Chen, Bo Hu, Peng Qin, Wei Gao, Chengcheng Liu, Dingjing Zi, Xuerui Ding, Ying Yu, Guangbin Cui, Lianjun Lu, "Altered Brain Activity and Functional Connectivity in Unilateral Sudden Sensorineural Hearing Loss", Neural Plasticity, vol. 2020, Article ID 9460364, 11 pages, 2020. https://doi.org/10.1155/2020/9460364

Altered Brain Activity and Functional Connectivity in Unilateral Sudden Sensorineural Hearing Loss

Academic Editor: Jian Wang
Received24 Mar 2020
Revised04 Aug 2020
Accepted18 Aug 2020
Published22 Sep 2020

Abstract

Background. Sudden sensorineural hearing loss (SSNHL) is an otologic emergency and could lead to social difficulties and mental disorders in some patients. Although many studies have analyzed altered brain function in populations with hearing loss, little information is available about patients with idiopathic SSNHL. This study is aimed at investigating brain functional changes in SSNHL via functional magnetic resonance imaging (fMRI). Methods. Thirty-six patients with SSNHL and thirty well-matched normal hearing individuals underwent resting-state fMRI. Amplitude of low-frequency fluctuation (ALFF), fractional ALFF (fALFF), and functional connectivity (FC) values were calculated. Results. In the SSNHL patients, ALFF and fALFF were significantly increased in the bilateral putamen but decreased in the right calcarine cortex, right middle temporal gyrus (MTG), and right precentral gyrus. Widespread increases in FC were observed between brain regions, mainly including the bilateral auditory cortex, bilateral visual cortex, left striatum, left angular gyrus (AG), bilateral precuneus, and bilateral limbic lobes in patients with SSNHL. No decreased FC was observed. Conclusion. SSNHL causes functional alterations in brain regions, mainly in the striatum, auditory cortex, visual cortex, MTG, AG, precuneus, and limbic lobes within the acute period of hearing loss.

1. Introduction

Hearing loss is one of the most common sensory disorders in the world. According to the World Health Organization, there are approximately 470 million patients with disabling hearing loss worldwide [1]. Sudden sensorineural hearing loss (SSNHL) is an otologic emergency that is defined as a sensorineural hearing decline of ≥30 dB in at least three consecutive frequencies in the pure-tone audiogram within 72 hours [2]. SSNHL is usually unilateral, with bilateral involvement accounting for less than 5% of the cases [3]. Recent population-based studies reported that the incidence of SSNHL ranges from 5 to 27 per 100,000 with a rapidly increasing annual incidence [4, 5]. The inner ear hair cells are mainly responsible for transducing sound vibrations into electrical impulses, and then these electrical signals are transmitted by spiral ganglion neurons (SGNs) into the brainstem to have the hearing function [610]. Thus, most cases of hearing loss are due to the damage or malfunction of hair cells or SGNs, both of which are sensitive and vulnerable to noise, aminoglycosides, chemotherapy regimens, inflammation, biological aging, and genetic defects [1117]. Although some pathophysiological hypotheses have been proposed, the exact mechanisms of SSNHL remain unclear. Moreover, most of the studies on SSNHL focused on the hair cells and SGNs, while the alterations in the intensity and synchronization of brain activity after SSNHL have rarely been investigated. Auditory deprivation may impose a substantial socioeconomic burden on patients. Those who do not recover normal hearing have difficulties in sound localization and social communication, which may cause potentially mental disorders such as anxiety and depression [18, 19]. Therefore, studies that are aimed at elucidating the changes and underlying mechanisms of higher-order brain functions in deaf individuals are necessary.

Previous studies have reported alterations in the activity and functional organization of the cerebral cortex in subjects with unilateral hearing loss (UHL). Patients with long-term unilateral hearing impairment exhibited altered connectivity with other sensory and higher-order networks within and beyond the auditory network, reflecting a cross-modal functional reorganization in UHL [20]. Plasticity of the cortical tonotopic map within the primary auditory cortex has also been observed in patients with unilateral sensorineural hearing loss and tinnitus [21]. Another connectome analysis showed altered connections and nodal centrality in several brain functional networks in patients with UHL caused by acoustic neuromas [22]. These studies showed evidence of cortical functional reorganization following UHL. However, there have been limited studies [23, 24] available on the differences in brain function between unilateral SSNHL patients and normal hearing people. The changes in cortical activity and functional organization following SSNHL remain largely unknown.

Functional magnetic resonance imaging (fMRI) is a noninvasive technique for investigating the changes in brain function in many disorders, which could provide valuable information for elucidating the pathogenesis and guiding clinical practice. Based on the blood-oxygenation-level-dependent (BOLD) signals, fMRI has been reported to reflect underlying neuronal activity [25]. Analyses of the amplitude of low-frequency fluctuations (ALFF) and functional connectivity (FC) are two important methods used in fMRI studies. ALFF is defined as the amplitude of brain BOLD signal fluctuations in the low-frequency range (0.01-0.08 Hz), which could reflect the spontaneous neuronal activity of the cerebral cortex [26]. The analysis of FC calculates the temporal correlation of BOLD signal fluctuations between spatially remote brain regions. Positive FC indicates activity synchronization and functional correlation between two voxels or brain areas [27]. These two methods have been widely applied to explore alterations in the activity and organization of the brain in hearing loss and other diseases, including depressive disorder, Alzheimer’s disease, and schizophrenia [2832]. Analyses of ALFF and FC simultaneously allow researchers to explore the synchronization between brain regions and the activation of each brain region. Although a large number of fMRI studies have been performed in individuals with UHL, the changes in cortical function during the acute period of SSNHL have rarely been investigated.

To address these questions, we conducted ALFF, fractional ALFF (fALFF), and FC analyses with resting-state fMRI in patients with SSNHL and normal hearing people. We hypothesized that SSNHL would change the intensity and synchronization of cerebral activity.

2. Materials and Methods

2.1. Participants

Thirty-six patients with mild to profound unilateral SSNHL were recruited from the Department of Otolaryngology Head and Neck Surgery of Tangdu Hospital. Patients with in at least three consecutive frequencies within 72 hours were diagnosed with unilateral SSNHL according to the 2019 Sudden Hearing Loss Clinical Practice Guideline of the American Academy of Otolaryngology-Head and Neck Surgery Foundation (AAO-HNSF) [2]. Pure-tone audiometry was performed to calculate the pure-tone average (PTA) and assess hearing thresholds. Thirty sex- and age-matched normal hearing participants were recruited from the local community. The exclusion criteria included conductive hearing loss, Ménière’s disease, acute or chronic otitis media, and central nervous system disorders such as brain trauma, tumors, and cerebrovascular disease. The data from scans of six SSNHL participants were excluded for excessive head movement. Finally, 30 unilateral SSNHL and 30 healthy control (HC) participants were recruited in our study. All the SSNHL and HC participants were right-handed. All the participants provided written informed consent, and the study protocol was approved by the ethics committee of Tangdu Hospital of the Air Force Medical University. Intergroup comparisons of age and body mass index (BMI) were conducted using two-tailed, two-sample Student’s -tests with SPSS 23 software (IBM, Armonk, NY, USA). In SSNHL patients, the differences in PTA before and after treatment were compared using two-tailed, paired-sample Student’s -tests. The significance level was set at .

2.2. MRI Data Acquisition

The MRI data were acquired before patients received any treatment. MRI scans were performed at the Radiology Department of Tangdu Hospital using a GE Discovery MR750 3.0 T scanner (General Electric Healthcare Systems, Boston, MA, USA) with an eight-channel phased-array head coil. Foam paddings were used to restrict head motion, and ear plugs were used to reduce scanner noise. During the data acquisition period, the participants were told to stay awake with their eyes closed in the scanner. Structural images including high-resolution T1-weighted images were acquired by using a three-dimensional brain volume (3D-BRAVO) sequence with the following parameters: , , , , , , , and .

BOLD images were acquired by using a gradient-recalled echo-echo-planar imaging (GRE-EPI) sequence with the following parameters: , , , , , acquisition , , , , and in − plane spatial resolution .

2.3. MRI Data Preprocessing

Functional MRI data were preprocessed using Data Processing and Analysis for Brain Imaging (DPABI) [33] and Statistical Parametric Mapping (SPM12) software (https://www.fil.ion.ucl.ac.uk/spm/software/spm12/) in the MATLAB R2014a platform (MATLAB 2014a, Mathworks, Inc, Natick, MA). The first 10 time points were discarded. The remaining images underwent a preprocessing procedure including slice timing and head motion correction, normalization to the Montreal Neurological Institute (MNI) space, linear trend removal, nuisance covariate regression, bandpass filtering (0.01-0.08 Hz), and smoothing with a 6 mm full width at half maximum (FWHM) isotropic Gaussian kernel. Any image with translation or 3° rotation in any direction was excluded.

2.4. ALFF and fALFF Analysis

ALFF and fALFF were analyzed using the Data Processing Assistant for Resting-State fMRI (DPARSF) software [34]. The time series were converted into the frequency domain to obtain the power spectrum. ALFF was obtained by calculating the mean square root of the power spectrum of the signal with a frequency window of 0.01-0.08 Hz. To obtain the fALFF, the ratio of the power spectrum across 0.01-0.08 Hz to that across the entire frequency range was calculated. The ALFF and fALFF values were compared between the SSNHL and HC groups using two-tailed, two-sample Student’s -test with SPM12 software after regressing out nuisance covariates including sex, age, and BMI. Gaussian random field (GRF) correction for multiple comparisons was used, because it corrects the false positive rate at both the voxel and cluster levels. The significance levels were set at and , as one recent study showed that this level effectively reduced the false positive rate below 0.05 [35].

2.5. Voxel-Wise FC Analysis

FC analysis was performed using SPM12 and RESting-state fMRI data analysis Toolkit (REST 1.6) [36]. Forty-four of the 112 brain regions in the Harvard-Oxford Atlas were selected as regions of interest (ROIs). The mean time series signal of each brain region was calculated. Correlation coefficients were calculated between the mean time series signal of each ROI and that of voxels across the whole brain. The correlation coefficients of each voxel were -scored to improve normality. Then, the resulting values of all voxels were compared between the SSNHL and HC groups to identify the brain areas with significant differences in FC. GRF was used for multiple comparison corrections. The results were visualized based on the Ch2 brain template using DPABI software.

2.6. ROI-Wise FC Analysis

Correlation coefficients between 44 selected ROIs and all 112 brain regions in the Harvard-Oxford Atlas for each participant were transformed with the Fisher’s to method. Using SPSS 23 software, intergroup comparisons were performed with one-way ANOVA and the post hoc Dunnett’s -test. Multiple comparisons were corrected with both false discovery rate (FDR) and network-based statistic (NBS) methods [37]. The significance level was set at . FC with intergroup significant differences was visualized using BrainNet Viewer software [38].

3. Results

3.1. Demographic and Clinical Information

The demographic and clinical information of both groups are presented in Table 1. There were no significant differences in age or BMI between the SSNHL and HC groups. In patients with SSNHL, an average of 15 dB HL improvement was observed in the PTA of the affected ear after treatment. The difference in the PTA of the affected ear before and after treatment was significant (). The significant difference () in the PTA of the unaffected ear before and after treatment may come from the measurement deviation of the pure-tone audiometry test.


SSNHLHC value

Number ()3030
Sex (male/female)16/1416/14
Age (year)0.799
BMI (kg/m2)0.827
Side of hearing loss (left/right)13/17
Hearing loss duration (day)
PTA of affected ear (dB HL)
 Before treatment
 After treatment<0.001
PTA of unaffected ear (dB HL)
 Before treatment
 After treatment0.043

All data are presented as the . Data with asterisks were compared with paired-sample Student’s -test methods. BMI: body mass index; PTA: pure-tone average.
3.2. Voxel-Wise ALFF and fALFF Analysis

Intergroup comparisons showed differences in ALFF and fALFF between the SSNHL and HC groups (Figure 1). The ALFF value in the SSNHL group, compared with that in the HC group, was significantly increased in a cluster located in the left putamen. The ALFF value was significantly decreased in three clusters located in the right calcarine cortex, right middle temporal gyrus (MTG), and right precentral gyrus. fALFF values were significantly increased in two clusters located in the right and left putamen. The fALFF value was significantly decreased in a cluster located in the right MTG. The peak MNI coordinates and peak intensities of these clusters are presented in Table 2.


Brain regionMNI coordinates , , and Number of voxelsPeak intensity

Increased ALFFL putamen-30607074.953

Decreased ALFFR calcarine cortex12-99-3194-3.830
R middle temporal gyrus51-57-3205-4.452
R precentral gyrus30-942209-4.392

Increased fALFFR putamen27-12183724.528
L putamen-300123624.586

Decreased fALFFR middle temporal gyrus42-57-3119-4.131

L: left; R: right.
3.3. Voxel-Wise FC Analysis

Among the intergroup comparisons, we found 9 ROIs with significantly increased FC with other brain clusters in the SSNHL group (Figure 2). No decreased FC was observed. Compared with the HC group, the SSNHL group showed increased FC mainly between the bilateral auditory cortices and left striatum, the left visual cortex and left striatum, the right MTG and bilateral visual cortices, and the bilateral lingual gyri (LG) and left middle frontal gyrus (MFG). The peak intensity and MNI coordinates of these clusters are presented in Table 3.


ROIBrain regionMNI coordinates , and Number of voxelsPeak intensity

lSTG.pL putamen/L caudate nucleus-1824-33975.174
rSTG.pL putamen/L caudate nucleus-1521-33284.147
rMTG.pBl lingual gyri/R calcarine-18-84-67003.486
lSMG.aL inferior frontal gyrus-2130-95354.210
lAGBl calcarine cortices/L posterior cingulate cortex-9-66910423.861
lLGR cerebellum posterior lobe30-78-455924.021
L caudate nucleus-1224-36475.312
L middle frontal gyrus-2724605124.634
rLGR cerebellum posterior lobe30-75-425904.068
L middle frontal gyrus-2724603814.705
lPTL caudate nucleus/L putamen-1521-93644.480
lOPL caudate nucleus/L putamen-63-213214.147

STG: superior temporal gyrus; MTG: middle temporal gyrus; SMG: supramarginal gyrus; AG: angular gyrus; LG: lingual gyrus; PT: planum temporale; OP: occipital pole; L or l: left; R or r: right; Bl: bilateral; a: anterior division; p: posterior division.
3.4. ROI-Wise FC Analysis

Compared with the HC group, significantly increased FCs were observed in the SSNHL group between the left angular gyrus (lAG) and the left supracalcarine cortex (lSCLC) (Figures 3(a) and 3(c)), as well as between the posterior division of the left parahippocampal gyrus (lPHG.p) and ROIs mainly located in the bilateral temporal lobes and the left frontal lobe (Figures 3(b) and 3(c)).

To further investigate the brain functional alterations after hearing loss on different sides, the SSNHL patients were then divided into the left (L-SSNHL, ) and right (R-SSNHL, ) hearing loss subgroups for ROI-wise FC analyses. One-way ANOVA and post hoc analyses showed that the L-SSNHL subgroup displayed significantly increased FC between the lMTG.to and bilateral subcallosal cortex (SCC) compared to the HC group (Figure S1).

Moreover, to better match the patients and healthy population, the HC group was also divided into two subgroups corresponding to the L-SSNHL and R-SSNHL subgroups, namely HC-1 () and HC-2 (). Intergroup comparisons were performed between the L-SSNHL and HC-1 subgroups, as well as between the R-SSNHL and HC-2 subgroups using the two-sample -test. Compared with the HC-1 subgroup, the L-SSNHL subgroup showed significantly increased FCs between the bilateral MTG and ROIs mainly located in the bilateral occipital lobes and the right limbic lobe (Figures 4(a)4(d) and 5(a)). In addition, increased FCs were observed between the posterior division of the left supramarginal gyrus (lSMG.p) and ROIs located in the left parietal lobe (Figures 4(e) and 5(a)). Increased FCs were also observed between the lAG and ROIs mainly located in the bilateral frontal lobes, occipital lobes, and limbic lobes (Figures 4(f) and 5(b)).

We noticed that there were some inconsistencies in results derived from one-way ANOVA and two-sample -test. We further compared the values before and after FDR correction and found that these inconsistencies were mainly caused by the setting of the statistical threshold (Tables S1 and S2).

When using the NBS method for the correction of multiple comparisons, FCs were significantly increased between ROIs mainly located in the bilateral temporal lobes (lMTG.a, lMTG.p, rMTG.p, and lMTG.to) and occipital lobes (lLG, rLG, and rOP) in the L-SSNHL subgroup compared to the HC-1 subgroup (Figure S2). These results were also similar to those derived from FDR correction. However, SSNHL did not result in decreased FC in the SSNHL group or in the L-SSNHL subgroup. No significant differences were observed between the R-SSNHL and HC-2 subgroups.

4. Discussion

In this study, the patients with SSNHL showed changes in spontaneous neuronal activity and FC in multiple brain regions during the acute period of hearing loss. In the patients with SSNHL, ALFF and fALFF were increased in the bilateral putamen but decreased in the right MTG. FC was widely increased between brain regions including the auditory cortex, visual cortex, striatum, AG, PCUN, and limbic lobes.

Although the precise etiology of SSNHL has not been identified, several pathophysiological mechanisms have been postulated in previous studies. The potential causes included viral infections, vascular occlusion, endolymphatic hydrops, autoimmunity, neoplastic disease, ototoxic drugs, and head injury [3, 39]. The present study focused on spontaneous neuronal activity and FC in patients with SSNHL, which may contribute to improving the understanding of some clinical issues, such as speech comprehension impairments and the occurrence of emotional disorders in patients with SSNHL. A previous study reported a restoration of maximum speech discrimination scores (SDS) without an improvement in PTA in patients with SSNHL [40]. This phenomenon may be mediated by the remodeling of the cortex associated with speech comprehension and processing, which was consistent with the results of our FC analysis results. We hope that our discoveries will complement previous studies and help to explain the pathophysiological mechanisms of SSNHL.

In the SSNHL group, ALFF and fALFF values were increased in the bilateral putamen. This result suggested that SSNHL might lead to enhanced neuronal activity in the putamen, which is associated with the regulation of body movement and language processing [4143]. A previous study showed that the activation of the putamen and caudate nucleus was increased in congenitally deaf adults when they were watching sign language [44]. As hearing loss causes difficulties in the perception and localization of sound, the brain may compensate for the function of language processing by increasing the activity of the putamen. Moreover, previous studies have shown that the STG had direct anatomical connections with the putamen and caudate nucleus [45]. This corticostriatal connection is related to spatial awareness and the encoding of the spatial locations of sounds [46, 47]. In the current study, patients with SSNHL showed increased FC values between the bilateral STG and left striatum, which may indicate alterations in the ability of sound localization and speech processing.

The MTG is associated with complicated sound processing, language comprehension, semantic memory, and integration of different types of information both within and across modalities (visual, auditory, or sensorimotor) [4850]. In the present study, decreased ALFF and fALFF values in the right MTG suggested that the function of sound recognition and language processing was weakened due to insufficient acoustic stimulation in patients with SSNHL. In the SSNHL groups, the rMTG.p displayed increased FC with the bilateral LG and the right calcarine cortex, both of which are associated with visual function. Moreover, in the L-SSNHL subgroup, significantly increased FC values were also observed between the left MTG and visual cortical areas. These results indicated that cross-modal cortical reorganization occurred in patients with SSNHL, i.e., reduced acoustic stimulus input may have led to the transformation of cortical function from the auditory sense toward the visual sense in the MTG via cross-modal neuroplasticity. This finding was consistent with previous studies [51, 52]. In addition, our findings also indicated that cross-modal reorganization can occur within the acute period of SSNHL, which is consistent with a previous report [24].

The AG is located at the junction between the temporal, parietal, and occipital lobes. Given its rich anatomical connections to other brain structures, the AG is considered an essential hub for information integration of different modalities [53]. In the present study, the FC values in the L-SSNHL subgroup were increased between the lAG and 15 other brain regions, which are mainly located in visual cortical areas, limbic lobes, and the bilateral PCUN. Thus, hearing loss might lead to enhanced integration and processing of visual information, potentially representing a compensatory neural mechanism in which reduced auditory information inputs are compensated with an enhanced visual sense. In the limbic lobe, the SCC has been identified as an important brain area in emotional information processing [54]. The paracingulate gyrus (PCG) is involved in manipulating information concerning social interactions [55]. Previous studies reported an association between SSNHL and an increased incidence of affective disorders, including anxiety and depression [18, 19]. Based on the findings of our study and other researchers, we proposed that the increased FC between the lAG and limbic lobes is associated with cognitive alternations and emotional modulation after the occurrence of SSNHL. This finding suggested that some proportion of patients with SSNHL may require psychotherapy.

As one of the key nodes of the default mode netwok (DMN), the PCUN exhibited increased activation at rest [56]. The PCUN plays a critical role in the mental representation of sounds and the construction of multimodal sensory imagery [57]. In the present study, increased FC between the lAG and bilateral PCUN may have represented a compensatory enhancement of multimodal sensory perception in the absence of hearing.

This study has several limitations. First, the background noise produced by the fMRI scanner reached more than 100 dB SPL. Although earplugs were used during scanning, the noise inevitably stimulated the auditory system to some extent. Due to the hearing discrepancy between the patients and HC individuals, the activation of the brain by the scanner noise may differ. In future studies, we will attempt to more effectively reduce and shield the background noise. Second, since the sample size of the present study was relatively small, it was difficult to perform analyses of ALFF and voxel-wise FC in the L-SSNHL and R-SSNHL subgroups. Combining these two subgroups of patients may have obscured some findings. More studies with larger sample sizes are needed to further clarify the alterations in brain function in SSNHL. Third, mental assessment of the SSNHL patients was not performed in this study. Considering that some affective disorders have been associated with SSNHL, future studies are needed to provide more information about the underlying mechanisms.

5. Conclusion

Based on the results of our study, SSNHL caused alterations in the neuronal activity and FC of brain regions mainly including the striatum, auditory cortex, visual cortex, MTG, AG, precuneus, and limbic lobes within the acute period of hearing loss.

Data Availability

The data used to support the findings of this study are available from the corresponding authors upon request.

Conflicts of Interest

The authors declare that there is no competing financial interest associated with this paper.

Authors’ Contributions

Jiawei Chen, Bo Hu, and Peng Qin contributed equally to this work. Guangbin Cui and Lianjun Lu are co-senior authors of the study.

Acknowledgments

The authors would like to thank Prof. Wen Wang for helpful advice on the experimental methods.

Supplementary Materials

Figure S1: intergroup comparison of ROI-wise FC between the L-SSNHL, R-SSNHL, and HC groups. One-way ANOVA and post hoc analyses showed that FCs between lMTG.to and lSCC and rSCC were significantly increased between the L-SSNHL and HC groups. In the upper panel, the -axis coordinates correspond to the numbers of the brain region in the Harvard-Oxford Atlas. The -axis coordinates on the left indicate the FC value, while the ones on the right indicate the value. The red and blue curves indicate mean FC values of the pair of ROIs in each group, with the shadow refers to the standard deviations. The black line indicates intergroup differences of each pair of ROIs, where the black line below the green horizontal line indicates a value less than 0.05. The lower panel shows ROI-wise FC patterns with significant differences. The yellow ball indicates the seed ROI, while the cyan balls indicates the ROIs with significantly different FC values. The size of the sticks corresponds to the values of one-way ANOVA analysis. MTG: middle temporal gyrus; SCC: subcallosal cortex; l: left; r: right; to, temporooccipital part. Table S1: the one-way ANOVA results of intergroup comparison between the L-SSNHL, R-SSNHL, and HC groups. Table S2: the two-sample two-tailed-test results of intergroup comparison between the L-SSNHL and HC-1 subgroups. Figure S2: intergroup comparison of ROI-wise FC between the L-SSNHL and HC-1 subgroups by network-based statistics (NBS) analysis. FCs were significantly increased between ROIs mainly located at the bilateral temporal lobes (lMTG.a, lMTG.p, rMTG.p, and lMTG.to) and occipital lobes (lLG, rLG, and rOP) between the L-SSNHL and HC-1 subgroups. (Supplementary Materials)

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