Altered Contralateral Auditory Cortical Morphology in Unilateral Sudden Sensorineural Hearing Loss

Fan, Wenliang; Zhang, Wenjuan; Li, Jing; Zhao, Xueyan; Mella, Grace; Lei, Ping; Liu, Yuan; Wang, Haha; Cheng, Hui; Shi, Hong; Xu, Haibo

doi:10.1097/mao.0000000000000892

Cited by 29 publications

(33 citation statements)

References 45 publications

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“…Using functional MRI, previous studies found that UHL not only altered the activity of sensory areas but also reshaped the regional and circuit functional organization of higher‐level networks, such as the default‐mode network (DMN) (Zhang et al., ), executive control network (Tibbetts et al., ), and language networks (Liu et al., ). By exploring the relationship between long‐term UHL and gray matter morphology, several structural imaging studies have demonstrated widespread involvement of various brain regions, including Heschl's gyrus, calcarine cortex, prefrontal cortex, and anterior cingulate cortex (Fan et al., ; Wang et al., ; Yang et al., ), hinting that structural changes may contribute to the formation of functionally abnormal brain networks in UHL patients. Although these previous imaging studies provided valuable information on neuro‐anatomical and functional changes in the brain in UHL from segregated brain areas, a whole‐system level (i.e., the connectome) understanding is still lacking.…”

Section: Introductionmentioning

confidence: 99%

Altered functional networks in long‐term unilateral hearing loss: A connectome analysis

et al. 2018

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IntroductionIn neuroimaging studies, long‐term unilateral hearing loss (UHL) is associated with functional changes in specific brain regions and connections; however, little is known regarding alterations in the topological organization of whole‐brain functional networks and whether these alterations are related to hearing behavior in UHL patients.MethodsWe acquired resting‐state fMRI data from 21 patients with UHL caused by acoustic neuromas and 21 matched healthy controls. Whole‐brain functional networks were constructed by measuring interregional temporal correlations of 278 brain regions. Alterations in interregional functional connectivity and topological properties (e.g., small‐world, efficiency, and nodal centrality) were identified using graph‐theory analysis. The subjects also completed a battery of hearing behavior measures.ResultsBoth UHL patients and controls exhibited efficient small‐world properties in their functional networks. Compared with controls, UHL patients showed increased and decreased nodal centrality in distributed brain regions. Furthermore, the brain regions with significantly increased and decreased functional connections associated with UHL were components of the following important networks: (1) visual network; (2) higher‐order functional networks, including the default‐mode and attention networks; and (3) subcortical network and cerebellum. Intriguingly, the changes in intranetwork connections in UHL were significantly correlated with disease duration and hearing level.ConclusionsThis study revealed connectome‐level alterations involved in multiple large‐scale networks related to sensory and higher‐level cognitive functions in long‐term UHL patients. These reorganizations of the brain in UHL patients may depend on the stage of deafness and hearing level. Together, our findings provided empirical evidence for understanding the neuroplastic mechanisms underlying hearing impairment, establishing potential biomarkers for monitoring the progression and further treatment effects for UHL patients.

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Section: Introductionmentioning

confidence: 99%

Altered functional networks in long‐term unilateral hearing loss: A connectome analysis

et al. 2018

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“…Although the involvement of the hearing function in SSNHL patients is usually unilateral with no side of preference (Fan et al, 2015), these patients' hearing often does not even improve after high-quality appropriate therapy (Fan et al, 2015). This may indicate that some kind of irreversible structural brain damage has already occurred in these SSNHL patients (Fan et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, diverse brain structural changes have been reported in patients with different kinds of auditory impairment such as tinnitus, unilateral hearing loss, or deafness (Boyen et al, 2013;Fan et al, 2015;Profant et al, 2014;Vanneste et al, 2015;Yang et al, 2014), and results among ISSNHL are not homogeneous. This aspect could be related to many experimental factors such as the sample age and the side of the hearing impairment and especially to disease duration and neuroimaging techniques (Bilecen et al, 2000;Fan et al, 2015;Yang et al, 2014). Regarding this, up to now, neither neuroimaging studies have been implemented in the very first hours of the disease nor have metabolic techniques been used in order to discover possible ISSNHL-related cortical changes.…”

Section: Introductionmentioning

confidence: 99%

Early cortical metabolic rearrangement related to clinical data in idiopathic sudden sensorineural hearing loss

et al. 2017

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Results in studies concerning cortical changes in idiopathic sudden sensorineural hearing loss (ISSNHL) are not homogeneous, in particular due to the different neuroimaging techniques implemented and the diverse stages of ISSNHL studied. Considering the recent advances in state-of-the-art positron emission tomography (PET) cameras, the aim of this study was to gain more insight into the neuroanatomical differences associated with the earliest stages of unilateral ISSNHL and clinical-perceptual performance changes. After an audiological examination including the mean auditory threshold (mean AT), mean speech discrimination score (mean SDS) and Tinnitus Handicap Inventory (THI), 14 right-handed ISSNHL patients underwent brain [F]fluorodeoxyglucose (FDG)-PET within 72 h of the onset of symptoms. When compared to an homogeneous group of 35 healthy subjects by means of statistical parametric mapping, a relative increase in FDG uptake was found in the right superior and medial frontal gyrus as well as in the right anterior cingulate cortex in ISSNHL patients. Conversely, the same group showed a significant relative decrease in FDG uptake in the right middle temporal, precentral and postcentral gyrus as well as in the left posterior cingulate cortex, left lingual, superior, middle temporal and middle frontal gyrus and in the left insula. Regression analysis showed a positive correlation between mean THI and glucose consumption in the right anterior cingulate cortex and a positive correlation between mean SDS and glucose consumption in the left precentral gyrus. The relative changes in FDG uptake found in these brain regions and the positive correlation with mean SDS and THI scores in ISSNHL could possibly highlight new aspects of cerebral rearrangement, contributing to further explain changes in those functions that support speech recognition during the sudden impairment of unilateral auditory input.

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“…This indicates our method achieved excellent result. The high accuracy stems from two facts: (i) LHL patients are different from RHL patients (Fan et al, 2015); and (ii) SNHLs have difference with healthy subjects in brain structures (Yang et al, 2014). The situation was similar to the finger tipping task in fMRI, which the activation of left hand and that of right hand is distinctive for computers (Kuehn et al, 2015; Sun et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning

Wang

Yang

et al. 2016

Front. Comput. Neurosci.

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Highlights We develop computer-aided diagnosis system for unilateral hearing loss detection in structural magnetic resonance imaging.Wavelet entropy is introduced to extract image global features from brain images. Directed acyclic graph is employed to endow support vector machine an ability to handle multi-class problems.The developed computer-aided diagnosis system achieves an overall accuracy of 95.1% for this three-class problem of differentiating left-sided and right-sided hearing loss from healthy controls. Aim: Sensorineural hearing loss (SNHL) is correlated to many neurodegenerative disease. Now more and more computer vision based methods are using to detect it in an automatic way.Materials: We have in total 49 subjects, scanned by 3.0T MRI (Siemens Medical Solutions, Erlangen, Germany). The subjects contain 14 patients with right-sided hearing loss (RHL), 15 patients with left-sided hearing loss (LHL), and 20 healthy controls (HC).Method: We treat this as a three-class classification problem: RHL, LHL, and HC. Wavelet entropy (WE) was selected from the magnetic resonance images of each subjects, and then submitted to a directed acyclic graph support vector machine (DAG-SVM).Results: The 10 repetition results of 10-fold cross validation shows 3-level decomposition will yield an overall accuracy of 95.10% for this three-class classification problem, higher than feedforward neural network, decision tree, and naive Bayesian classifier.Conclusions: This computer-aided diagnosis system is promising. We hope this study can attract more computer vision method for detecting hearing loss.

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Altered Contralateral Auditory Cortical Morphology in Unilateral Sudden Sensorineural Hearing Loss

Cited by 29 publications

References 45 publications

Altered functional networks in long‐term unilateral hearing loss: A connectome analysis

Altered functional networks in long‐term unilateral hearing loss: A connectome analysis

Early cortical metabolic rearrangement related to clinical data in idiopathic sudden sensorineural hearing loss

Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning

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