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θ-β/γ耦合可识别由丘脑皮质节律紊乱引起的恼人耳鸣。

Theta-Beta/Gamma Coupling Identifies Bothersome Tinnitus Induced by Thalamocortical Dysrhythmia.

作者信息

Wang Ying, Zhang Jiajia, Huang Xuan, Huang Shujian, Feng Yanmei, Shi Haibo, Wang Hui, Salvi Richard, Yin Shankai

机构信息

Department of Otolaryngology-Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China.

出版信息

Brain Behav. 2025 Jun;15(6):e70437. doi: 10.1002/brb3.70437.

Abstract

BACKGROUND

The phantom sound of tinnitus can be an extremely debilitating condition. The thalamocortical dysrhythmia (TCD) hypothesis is a feature of subjective tinnitus; however, its consistency in characterizing different types of tinnitus remains unclear.

METHOD

We compared theta-beta/gamma coupling in multichannel EEG recordings from subjects with bothersome tinnitus (BT), non-bothersome tinnitus (NBT), and healthy controls (HC). Additionally, we used these EEG features to distinguish BT from NBT by employing the k-nearest neighbor (KNN) model.

RESULTS

Theta-beta/gamma phase-amplitude coupling (PAC) was enhanced in the auditory cortex of both BT and NBT groups compared to HC. In contrast, theta-beta/gamma PAC was specifically enhanced in the cingulate gyrus and parahippocampal gyrus in the BT group. Notably, theta-gamma PAC in the orbitofrontal cortex was attenuated in the BT group and showed a negative correlation with their THI scores. By integrating theta-beta/gamma PAC into a machine learning algorithm, up to 92% of BT patients were accurately identified.

CONCLUSION

TCD in BT patients was characterized by enhanced theta-beta/gamma PAC in the auditory cortex, cingulate gyrus, and parahippocampal gyrus and attenuated theta-gamma PAC in the orbitofrontal cortex. The latter was significantly negatively correlated with THI scores. These PAC features, which could objectively distinguish BT patients by machine learning, may support the specificity of PAC features in tinnitus characterization.

摘要

背景

耳鸣的幻听可能是一种极其使人衰弱的病症。丘脑皮质节律失调(TCD)假说是主观性耳鸣的一个特征;然而,其在表征不同类型耳鸣方面的一致性仍不明确。

方法

我们比较了有困扰性耳鸣(BT)、无困扰性耳鸣(NBT)的受试者以及健康对照(HC)的多通道脑电图记录中的θ波-β波/γ波耦合情况。此外,我们通过使用k近邻(KNN)模型,利用这些脑电图特征来区分BT和NBT。

结果

与HC相比,BT组和NBT组的听觉皮层中θ波-β波/γ波的相位-振幅耦合(PAC)均增强。相比之下,BT组的扣带回和海马旁回中θ波-β波/γ波PAC特异性增强。值得注意的是,BT组眶额皮质中的θ波-γ波PAC减弱,且与他们的耳鸣残疾评定量表(THI)得分呈负相关。通过将θ波-β波/γ波PAC整合到机器学习算法中,高达92%的BT患者被准确识别。

结论

BT患者的TCD表现为听觉皮层、扣带回和海马旁回中的θ波-β波/γ波PAC增强,以及眶额皮质中的θ波-γ波PAC减弱。后者与THI得分显著负相关。这些PAC特征可通过机器学习客观地区分BT患者,可能支持PAC特征在耳鸣表征中的特异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e66e/12159765/9141099aa343/BRB3-15-e70437-g001.jpg

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