School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, 75080, USA.
Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Bundang Hospital, Seongnam, 13620, Korea.
Nat Commun. 2018 Mar 16;9(1):1103. doi: 10.1038/s41467-018-02820-0.
Thalamocortical dysrhythmia (TCD) is a model proposed to explain divergent neurological disorders. It is characterized by a common oscillatory pattern in which resting-state alpha activity is replaced by cross-frequency coupling of low- and high-frequency oscillations. We undertook a data-driven approach using support vector machine learning for analyzing resting-state electroencephalography oscillatory patterns in patients with Parkinson's disease, neuropathic pain, tinnitus, and depression. We show a spectrally equivalent but spatially distinct form of TCD that depends on the specific disorder. However, we also identify brain areas that are common to the pathology of Parkinson's disease, pain, tinnitus, and depression. This study therefore supports the validity of TCD as an oscillatory mechanism underlying diverse neurological disorders.
丘脑皮质节律障碍（TCD）是一种用于解释不同神经障碍的模型。其特征是存在一种共同的振荡模式，静息状态下的阿尔法活动被低频和高频振荡的跨频耦合所取代。我们采用支持向量机学习方法，对帕金森病、神经性疼痛、耳鸣和抑郁症患者的静息态脑电图振荡模式进行了数据分析。我们展示了一种在频谱上等效但在空间上不同的 TCD 形式，这种形式取决于特定的障碍。然而，我们也确定了与帕金森病、疼痛、耳鸣和抑郁的病理相关的共同脑区。因此，这项研究支持 TCD 作为多种神经障碍潜在的振荡机制的有效性。
