Altered Intra- and Interregional Synchronization in Resting-State Cerebral Networks Associated with Chronic Tinnitus

Chen, Yu‐Chen; Zhang, Jian; Li, Xiaowei; Xia, Wenqing; Xu, Feng; Qian, Cheng; Yang, Xiangyu; Lu, Chun-Qiang; Wang, Jian; Salvi, Richard; Teng, Gao‐Jun

doi:10.1155/2015/475382

Cited by 43 publications

(69 citation statements)

References 85 publications

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“…Using our inclusion/exclusion criteria, we identified nine eligible neuroimaging studies utilizing different methods, including SPECT (Laureano et al, 2014; Ueyama et al, 2015), PET (Geven et al, 2014), and fMRI (Maudoux et al, 2012a; Chen et al, 2014, 2015d, 2016; Leaver et al, 2016b). Figure 1 is a flow diagram showing the steps in the identification, exclusion and inclusion of the studies.…”

Section: Resultsmentioning

confidence: 99%

“…A growing number of studies have used resting-state fMRI to investigate tinnitus (Husain and Schmidt, 2014) and multiple brain networks implicated in tinnitus have been identified, such as the auditory network (Burton et al, 2012; Kim et al, 2012; Maudoux et al, 2012a,b; Schmidt et al, 2013; Hinkley et al, 2015; Minami et al, 2015; Leaver et al, 2016b), default mode network (DMN; Schmidt et al, 2013; Chen et al, 2014, 2015d; Leaver et al, 2016b), dorsal attention network (DAN; Burton et al, 2012; Schmidt et al, 2013), ventral attention network (VAN; Burton et al, 2012), and visual network (Burton et al, 2012; Chen et al, 2014, 2015d). As such, tinnitus can be seen as the interaction of multiple brain subnetworks, each contributing to different aspects of tinnitus such as its acoustic features, emotional affect and awareness or attention.…”

Section: Introductionmentioning

confidence: 99%

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Resting-State Brain Abnormalities in Chronic Subjective Tinnitus: A Meta-Analysis

Chen

Wang

et al. 2017

Front. Hum. Neurosci.

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Purpose: The neural mechanisms that give rise to the phantom sound of tinnitus have not been fully elucidated. Neuroimaging studies have revealed abnormalities in resting-state activity that could represent the neural signature of tinnitus, but there is considerable heterogeneity in the data. To address this issue, we conducted a meta-analysis of published neuroimaging studies aimed at identifying a common core of resting-state brain abnormalities in tinnitus patients.Methods: A systematic search was conducted for whole-brain resting-state neuroimaging studies with SPECT, PET and functional MRI that compared chronic tinnitus patients with healthy controls. The authors searched PubMed, Science Direct, Web of Knowledge and Embase databases for neuroimaging studies on tinnitus published up to September 2016. From each study, coordinates were extracted from clusters with significant differences between tinnitus subjects and controls. Meta-analysis was performed using the activation likelihood estimation (ALE) method.Results: Data were included from nine resting-state neuroimaging studies that reported a total of 51 distinct foci. The meta-analysis identified consistent regions of increased resting-state brain activity in tinnitus patients relative to controls that included, bilaterally, the insula, middle temporal gyrus (MTG), inferior frontal gyrus (IFG), parahippocampal gyrus, cerebellum posterior lobe and right superior frontal gyrus. Moreover, decreased brain activity was only observed in the left cuneus and right thalamus.Conclusions: The current meta-analysis is, to our knowledge, the first to demonstrate a characteristic pattern of resting-state brain abnormalities that may serve as neuroimaging markers and contribute to the understanding of neuropathophysiological mechanisms for chronic tinnitus.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resting-State Brain Abnormalities in Chronic Subjective Tinnitus: A Meta-Analysis

Chen

Wang

et al. 2017

Front. Hum. Neurosci.

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“…Nonetheless, questions to address in a longitudinal study are clearly raised here. Resample voxel size was set as 3 mm × 3 mm × 3 mm, which is a very common resampling voxel size for ReHo analysis (Chen et al, 2015; Ni et al, 2012; Ping et al, 2013). In this study, its original voxel size was 3.75 mm × 3.75 mm × 4 mm.…”

Section: Discussionmentioning

confidence: 99%

Regional homogeneity (ReHo) changes in new onset versus chronic benign epilepsy of childhood with centrotemporal spikes (BECTS): A resting state fMRI study

et al. 2015

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Objective The purpose of this study was to investigate regional homogeneity (ReHo) in children with new-onset drug-naïve Benign Epilepsy with Centrotemporal Spikes (BECTS), chronic BECTS and healthy controls (HC) using the Regional Homogeneity (ReHo) method applied to resting state fMRI data. Methods Resting state fMRI data was collected from three groups of children aged 6 to13, including new onset drug naïve BECTS, chronic BECTS with medication, and HC; the data analyzed by ReHo method. Mandarin school exams scores were acquired and compared across groups. Results There were three main findings. Firstly, compared with HC, abnormally increased ReHo was observed in bilateral sensorimotor regions in new onset BECTS which normalized or even reversed in the chronic BECTS group. Secondly, enhanced ReHo was found in the left frontal language region in the two BECTS groups, with even higher ReHo value in the chronic group. Lastly, decreased ReHo was found in regions of the default mode network (DMN), bilateral occipital lobes and cerebellum in both the new onset and chronic BECTS groups, lower in chronic BECTS. Behavioral analyses of school scores showed the chronic BECTS group presented significantly lower scores compared to HC (p < .05). Significance The coherence of low frequency fluctuations is disrupted in sensorimotor, language and DMN-related regions in new-onset BECTS. Some of these effects seem to be selectively normalized in chronic BECTS, thus allowing us to explore possible chronicity and AED-induced effects on BECTS. Abnormal ReHo in left language and DMN regions could be responsible for impairments of cognitive function.

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“…Decreased connectivity was found in the right primary auditory cortex, left prefrontal, left fusiform gyrus, and bilateral occipital regions (Maudoux et al 2012a, b). Very recently, altered interhemispheric functional connectivity was shown and linked with specific tinnitus characteristics in chronic tinnitus patients (Chen et al 2015a). In addition, enhanced functional connectivity between auditory cortex and the homologue frontal gyrus was observed, indicative of enhanced connectivity of auditory networks with attention networks (Chen et al 2015b).…”

Section: Introductionmentioning

confidence: 99%

“…Very recently, altered interhemispheric functional connectivity was shown and linked with specific tinnitus characteristics in chronic tinnitus patients (Chen et al 2015a). In addition, enhanced functional connectivity between auditory cortex and the homologue frontal gyrus was observed, indicative of enhanced connectivity of auditory networks with attention networks (Chen et al 2015b). All these results combined are thought to represent the influence tinnitus has on the networks encompassing memory, attention and emotion.…”

Section: Introductionmentioning

confidence: 99%

Tinnitus- and Task-Related Differences in Resting-State Networks

Lanting

WoźAniak

Dijk

et al. 2016

Advances in Experimental Medicine and Biology

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We investigated tinnitus-related differences in functional networks in adults with tinnitus by means of a functional connectivity study. Previously it was found that various networks show differences in connectivity in patients with tinnitus compared to controls. How this relates to patients' ongoing tinnitus and whether the ecological sensory environment modulates connectivity remains unknown. Twenty healthy controls and twenty patients suffering from chronic tinnitus were enrolled in this study. Except for the presence of tinnitus in the patient group, all subjects were selected to have normal or near-normal hearing. fMRI data were obtained in two different functional states. In one set of runs, subjects freely viewed emotionally salient movie fragments ("fixed-state") while in the other they were not performing any task ("resting-state"). After data pre-processing, Principal Component Analysis was performed to obtain 25 components for all datasets. These were fed into an Independent Component Analysis (ICA), concatenating the data across both groups and both datasets, to obtain group-level networks of neural origin, each consisting of spatial maps with their respective time-courses. Subject-specific maps and their time-course were obtained by back-projection (Dual Regression). For each of the components a mixed-effects linear model was composed with factors group (tinnitus vs. controls), task (fixed-state vs. resting state) and their interaction. The neural components comprised the visual, sensorimotor, auditory, and limbic systems, the default mode, dorsal attention, executive-control, and frontoparietal networks, and the cerebellum. Most notably, the default mode network (DMN) was less extensive and shows significantly less connectivity in tinnitus patients than in controls. This group difference existed in both paradigms. At the same time, the DMN was stronger during resting-state than during fixed-state in the controls but not the patients. We attribute this pattern to the unremitting engaging effect of the tinnitus percept.

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Altered Intra- and Interregional Synchronization in Resting-State Cerebral Networks Associated with Chronic Tinnitus

Cited by 43 publications

References 85 publications

Resting-State Brain Abnormalities in Chronic Subjective Tinnitus: A Meta-Analysis

Resting-State Brain Abnormalities in Chronic Subjective Tinnitus: A Meta-Analysis

Regional homogeneity (ReHo) changes in new onset versus chronic benign epilepsy of childhood with centrotemporal spikes (BECTS): A resting state fMRI study

Tinnitus- and Task-Related Differences in Resting-State Networks

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