Department of Medical Imaging, Yanjing Medical College, Capital Medical University, Beijing 101300, China.
Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
Neuroscience. 2024 Aug 16;553:89-97. doi: 10.1016/j.neuroscience.2024.07.008. Epub 2024 Jul 9.
The neuroimaging mechanisms underlying differences in the outcomes of sound therapy for tinnitus patients remain unclear. We hypothesize that abnormal hierarchical architecture is the neuro-biomarker for treatment outcome explanation. We conducted functional connectome gradient analyses on resting-state functional MRI images that acquired before intervention to investigate differences among the patients with effective treatment (ET, n = 27), ineffective treatment (IT, n = 41), and healthy controls (HC, n = 59). General linear models were used to analyze the associations between intergroup differential regions and clinical characteristics. Partial least squares regression was employed to reveal correlations with gene expression. Compared to HC, both ET and IT groups displayed significant differences in the default mode network. Moreover, the ET group exhibited wider gradient range and greater gradient variance. Also, the gradient scores of the differential regions between the ET and HC groups were significantly correlated with Self-rating Anxiety Scale and Self-rating Depression Scale scores, and exhibited positive correlations with the transcriptional profiles of genes related to depression and anxiety. Our results indicated that the abnormalities of ET group, may be more relevant to psychiatric disorders, bringing a higher possible therapeutic potential due to the plasticity of the nervous system. Connectome gradient dysfunction with genetic evidence may serve as an indicator for identifying diverse treatment outcomes of the sound therapy for tinnitus patients before treatment.
耳鸣患者接受声音治疗效果差异的神经影像学机制尚不清楚。我们假设异常的层次结构是治疗效果解释的神经生物标志物。我们对干预前静息态功能磁共振成像图像进行功能连接梯度分析,以研究有效治疗(ET,n=27)、无效治疗(IT,n=41)和健康对照组(HC,n=59)患者之间的差异。采用广义线性模型分析组间差异区域与临床特征的相关性。采用偏最小二乘回归分析与基因表达的相关性。与 HC 相比,ET 和 IT 组在默认模式网络中均显示出显著差异。此外,ET 组的梯度范围更宽,梯度方差更大。此外,ET 和 HC 组之间差异区域的梯度评分与自评焦虑量表和自评抑郁量表评分显著相关,与与抑郁和焦虑相关基因的转录谱呈正相关。我们的研究结果表明,ET 组的异常可能与精神障碍更为相关,由于神经系统的可塑性,可能带来更高的治疗潜力。具有遗传证据的连接组梯度功能障碍可能成为在治疗前识别耳鸣患者声音治疗不同治疗效果的指标。