Li Fangjie, Liu Chengyong, Qin Shan, Wang Xiaoqiu, Wan Qingyun, Li Zhuoyuan, Wang Luyao, Yang Huayuan, Jiang Jiehui, Wu Wenzhong
School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Department of Acupuncture-Moxibustion and Rehabilitation, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China.
Front Neurosci. 2023 Aug 15;17:1234477. doi: 10.3389/fnins.2023.1234477. eCollection 2023.
The aim of this study was to investigate the functional abnormalities between the nucleus accumbens (NAc) and the whole brain in individuals with Insomnia Disorder (ID) using resting-state functional magnetic resonance imaging (fMRI). Additionally, the study aimed to explore the underlying neural mechanisms of ID.
We enrolled 18 participants with ID and 16 normal controls (NC). Resting-state functional connectivity (FC) between the NAc and the whole brain voxels was calculated and compared between the two groups to identify differential brain region. Receiver operating characteristic (ROC) curve analysis was employed to assess the ability of differential features to distinguish between groups. Furthermore, Pearson correlation analysis was performed to examine the relationship between neurocognitive scores and differential features.
The ID group exhibited significantly reduced FC values in several brain regions, including the right supplementary motor area, the bilateral middle frontal gyrus, the bilateral median cingulate and paracingulate gyri and the left precuneus. The area under the curve (AUC) of the classification model based on FC in these brain regions was 83.3%. Additionally, the abnormal functional changes observed in ID patients were positively correlated with the Fatigue Severity Scale ( = 0.650, = 0.004).
These findings suggest that the NAc may play a crucial role in the diagnosis of ID and could serve as a potential imaging biomarker, providing insights into the underlying neural mechanisms of the disorder.
本研究旨在使用静息态功能磁共振成像（fMRI）研究失眠症（ID）患者伏隔核（NAc）与全脑之间的功能异常。此外，该研究旨在探索ID的潜在神经机制。
我们招募了18名ID患者和16名正常对照（NC）。计算两组之间NAc与全脑体素之间的静息态功能连接（FC），并进行比较以识别差异脑区。采用受试者工作特征（ROC）曲线分析来评估差异特征区分两组的能力。此外，进行Pearson相关分析以检验神经认知评分与差异特征之间的关系。
ID组在几个脑区的FC值显著降低，包括右侧辅助运动区、双侧额中回、双侧中央扣带回和旁扣带回以及左侧楔前叶。基于这些脑区FC的分类模型的曲线下面积（AUC）为83.3%。此外，ID患者中观察到的异常功能变化与疲劳严重程度量表呈正相关（r = 0.650，P = 0.004）。
这些发现表明，NAc可能在ID的诊断中起关键作用，并可作为潜在的成像生物标志物，为该疾病的潜在神经机制提供见解。
