Brain structural and functional alterations in patients with unilateral hearing loss

Yang, Ming; Chen, Hua-Jun; Liu, Bin; Huang, Zhichun; Feng, Yuan; Li, Jing; Chen, Jing-ya; Zhang, Lingling; Ji, Hui; Xu, Feng; Zhu, Xin; Teng, Gao‐Jun

doi:10.1016/j.heares.2014.07.006

Cited by 93 publications

(79 citation statements)

References 55 publications

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“…Further signs of that a UHL may affect the default mode network were seen in a study by Yang et al (2014) that aimed to investigate the aberrant regional brain activity at baseline in patients with UHL and ALFF values. Thus, Yang et al (2014) showed that a UHL affects ALFF values in regions associated to execution and attention.…”

Section: Results Of These Three Studies (Tibbetts Et Al 2011 Wang Etmentioning

confidence: 99%

“…In the study conducted by Yang et al (2014) previously described, they also measured T1-weighted volumetric images. Here they found that the patients with right sided hearing loss showed a decrease in GMV in bilateral posterior cingulate gyrus and precuneus, left superior/middle/inferior temporal gyrus and the right parahippocampal gyrus and lingual gyrus.…”

Section: High Resolution and Volumetric T1 / T2 Imagesmentioning

confidence: 99%

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Functional-structural reorganisation of the neuronal network for auditory perception in subjects with unilateral hearing loss: Review of neuroimaging studies

et al. 2016

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Objective: This paper aims to provide a review of studies using neuroimaging to measure functional-structural reorganisation of the neuronal network for auditory perception after unilateral hearing loss. Design: A literature search was performed in PubMed. Search criterions were peer reviewed original research papers in English completed by the 11 th ofMarch 2015. Study sample: Twelve studies were found to use neuroimaging in subjects with unilateral hearing loss. An additional five papers not identified by the literature search were provided by a reviewer. Thus, a total of 17 studies were included in the review.Results: Four different neuroimaging methods were used in these studies: Functional magnetic resonance imaging (fMRI) (n = 11), diffusion tensor imaging (DTI) (n = 4), T1/T2 volumetric images (n = 2), magnetic resonance spectroscopy (MRS) (n = 1). One study utilized two imaging methods (fMRI and T1 volumetric images). Conclusion:Neuroimaging techniques could provide valuable information regarding the effects of unilateral hearing loss on both auditory and non-auditory performance. fMRI-studies showing a bilateral BOLD-response in patients with unilateral hearing loss have not yet been followed by DTI studies confirming their microstructural correlates. In addition, the review shows that an auditory modality-specific deficit could affect multi-modal brain regions and their connections.

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Section: Results Of These Three Studies (Tibbetts Et Al 2011 Wang Etmentioning

confidence: 99%

Section: High Resolution and Volumetric T1 / T2 Imagesmentioning

confidence: 99%

Functional-structural reorganisation of the neuronal network for auditory perception in subjects with unilateral hearing loss: Review of neuroimaging studies

et al. 2016

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“…Alternatively, increased fALFF in the OFC during resting state may develop as a compensatory (but not sufficiently efficient) mechanism for those difficulties or outcomes induced by a reduction in resilience or lack of resilience among low-resilient participants. In fact, the compensatory mechanism to offset structural or functional defects has been demonstrated in many other studies (Yang et al , 2011; Bing et al , 2013; Yang et al , 2014; Gallea et al , 2015; Li et al , 2015; Sun et al , 2016). Moreover, our results also fit well with prior findings in healthy populations showing an association of higher fALFF in the left OFC with lower trait hope (Wang et al , 2017) and that of smaller gray matter volume in the left OFC with trait optimism (Dolcos et al , 2016).…”

Section: Discussionmentioning

confidence: 63%

The resilient brain: psychological resilience mediates the effect of amplitude of low-frequency fluctuations in orbitofrontal cortex on subjective well-being in young healthy adults

Kong

You

et al. 2018

Social Cognitive and Affective Neuroscience

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Psychological resilience reflects the capacity to bounce back from stress, which plays an important role in health and well-being. However, less is known about the neural substrate for psychological resilience and the underlying mechanism for how psychological resilience enhances subjective well-being in the healthy brain. To investigate these issues, we employed fractional amplitude of low-frequency fluctuations (fALFF) measured with resting-state fMRI in 100 young healthy adults. The correlation analysis found that higher psychological resilience was related to lower fALFF in the left orbitofrontal cortex (OFC), which is involved in reward-related processing and emotion regulation. Furthermore, the mediation analysis indicated that psychological resilience acted as a full mediator of the association between the fALFF in left OFC and subjective well-being indicators (i.e. life satisfaction and hedonic balance). Importantly, these results remained significant after controlling for the effect of gray matter volume and regional homogeneity in the region. Overall, the present study provides the further evidence for functional neural substrates of psychological resilience and reveals a potential mechanism that psychological resilience mediates the effect of spontaneous brain activity on subjective well-being.

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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%

“…Those alterations can be clearly found in advanced neuroimaging modalities, such as magnetic resonance imaging (MRI). Yang et al (2014) proved UHL patients showed decreased gray matter volume in bilateral posterior cingulate gyrus and precuneus, left superior/middle/inferior temporal gyrus, and right parahippocampal gyrus and lingual gyrus. Hribar et al (2014) proved manual volumetry revealed preserved GM volume of the bilateral HG and significantly decreased WM volume of the left HG in the deaf.…”

Section: Introductionmentioning

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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Brain structural and functional alterations in patients with unilateral hearing loss

Cited by 93 publications

References 55 publications

Functional-structural reorganisation of the neuronal network for auditory perception in subjects with unilateral hearing loss: Review of neuroimaging studies

Functional-structural reorganisation of the neuronal network for auditory perception in subjects with unilateral hearing loss: Review of neuroimaging studies

The resilient brain: psychological resilience mediates the effect of amplitude of low-frequency fluctuations in orbitofrontal cortex on subjective well-being in young healthy adults

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

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