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利用静息态功能连接来揭示耳鸣的网络。

Using resting state functional connectivity to unravel networks of tinnitus.

机构信息

Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, Champaign, IL, USA; Neuroscience Program, University of Illinois at Urbana-Champaign, Champaign, IL, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.

出版信息

Hear Res. 2014 Jan;307:153-62. doi: 10.1016/j.heares.2013.07.010. Epub 2013 Jul 26.


DOI:10.1016/j.heares.2013.07.010
PMID:23895873
Abstract

Resting state functional connectivity (rs-fc) using fMRI has become an important tool in examining differences in brain activity between patient and healthy populations. Studies employing rs-fc have successfully identified altered intrinsic neural networks in many neurological and psychiatric disorders, including Alzheimer's disease, schizophrenia, and more recently, tinnitus. The neural mechanisms of subjective tinnitus, defined as the perception of sound without an external source, are not well understood. Several inherent networks have been implicated in tinnitus; these include default mode, auditory, dorsal attention, and visual resting-state networks. Evidence from several studies has begun to suggest that tinnitus causes consistent modifications to these networks, including greater connectivity between limbic areas and cortical networks not traditionally involved with emotion processing, and increased connectivity between attention and auditory processing brain regions. Such consistent changes to these networks may allow for the identification of objective brain imaging measures of tinnitus, leading to a better understanding of the neural basis of the disorder. Further, examination of rs-fc allows us to correlate behavioral measures, such as tinnitus severity and comorbid factors including hearing loss, with specific intrinsic networks. This article is part of a Special Issue entitled Human Auditory Neuroimaging.

摘要

静息态功能连接(rs-fc)使用 fMRI 已经成为研究患者和健康人群大脑活动差异的重要工具。使用 rs-fc 的研究已经成功地确定了许多神经和精神疾病中的内在神经网络改变,包括阿尔茨海默病、精神分裂症,以及最近的耳鸣。主观性耳鸣的神经机制,即没有外部声源的声音感知,尚未得到很好的理解。几个固有网络与耳鸣有关;这些网络包括默认模式、听觉、背侧注意和视觉静息状态网络。几项研究的证据已经开始表明,耳鸣导致这些网络的一致性改变,包括边缘区域与传统上不参与情绪处理的皮质网络之间的连接增加,以及注意力和听觉处理脑区之间的连接增加。这些网络的一致性变化可能允许识别耳鸣的客观脑成像测量,从而更好地理解该疾病的神经基础。此外,rs-fc 的检查使我们能够将行为测量(如耳鸣严重程度和包括听力损失在内的共病因素)与特定的内在网络相关联。本文是题为“人类听觉神经影像学”的特刊的一部分。

相似文献

[1]
Using resting state functional connectivity to unravel networks of tinnitus.

Hear Res. 2013-7-26

[2]
Connectivity graph analysis of the auditory resting state network in tinnitus.

Brain Res. 2012-5-10

[3]
Default mode, dorsal attention and auditory resting state networks exhibit differential functional connectivity in tinnitus and hearing loss.

PLoS One. 2013-10-2

[4]
Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: an inter-subject analysis.

Neuroimage. 2010-6-9

[5]
Lateralization effects on functional connectivity of the auditory network in patients with unilateral pulsatile tinnitus as detected by functional MRI.

Prog Neuropsychopharmacol Biol Psychiatry. 2017-9-20

[6]
Reduced sound-evoked and resting-state BOLD fMRI connectivity in tinnitus.

Neuroimage Clin. 2018-8-31

[7]
Multimodal description of whole brain connectivity: A comparison of resting state MEG, fMRI, and DWI.

Hum Brain Mapp. 2016-1

[8]
Neural networks of tinnitus in humans: Elucidating severity and habituation.

Hear Res. 2016-4

[9]
Auditory resting-state functional connectivity in tinnitus and modulation with transcranial direct current stimulation.

Acta Otolaryngol. 2015

[10]
Spatiotemporal dynamics of the brain at rest--exploring EEG microstates as electrophysiological signatures of BOLD resting state networks.

Neuroimage. 2012-2-22

引用本文的文献

[1]
An examination of the reliability of seed-to-seed resting state functional connectivity in tinnitus patients.

Neuroimage Rep. 2023-2-15

[2]
Association between tinnitus and cognitive impairment: analysis of National Health and Nutrition Examination Survey 2011:2014.

Front Neurol. 2025-5-30

[3]
Based on the resting-state functional magnetic resonance imaging reveals the causal relationship between the brain function network and the risk of tinnitus: a bidirectional Mendelian randomization analysis.

Brain Imaging Behav. 2025-4

[4]
Could DTI Unlock the Mystery of Subjective Tinnitus: It's Time for Parameters That Go A Little Out of the Routine.

Indian J Otolaryngol Head Neck Surg. 2024-12

[5]
Functional connectivity across the human subcortical auditory system using an autoregressive matrix-Gaussian copula graphical model approach with partial correlations.

Imaging Neurosci (Camb). 2024

[6]
Glymphatic system dysfunction associated with cognitive impairment in chronic tinnitus patients.

Front Neurosci. 2024-9-6

[7]
Bridging the Gap between Psychophysiological and Audiological Factors in the Assessment of Tinnitus: An EEG Investigation in the Beta Band.

Brain Sci. 2024-6-3

[8]
Map plasticity following noise exposure in auditory cortex of rats: implications for disentangling neural correlates of tinnitus and hyperacusis.

Front Neurosci. 2024-5-31

[9]
Differential cortical activation patterns: pioneering sub-classification of tinnitus with and without hyperacusis by combining audiometry, gamma oscillations, and hemodynamics.

Front Neurosci. 2024-1-4

[10]
Using ALE coordinate-based meta-analysis to observe resting-state brain abnormalities in subjective tinnitus.

Brain Imaging Behav. 2024-6

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