Li Xiaodong, Li Zhonglin, Zou Zhi, Wu Xiaolin, Gao Hui, Wang Caiyun, Zhou Jing, Qi Fei, Zhang Miao, He Junya, Qi Xin, Yan Fengshan, Dou Shewei, Zhang Hongju, Tong Li, Li Yongli
Department of Radiology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Department of Nuclear Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Front Mol Neurosci. 2022 Feb 23;15:825286. doi: 10.3389/fnmol.2022.825286. eCollection 2022.
Chronic insomnia disorder (CID) is considered a major public health problem worldwide. Therefore, innovative and effective technical methods for studying the pathogenesis and clinical comprehensive treatment of CID are urgently needed.
Real-time fMRI neurofeedback (rtfMRI-NF), a new intervention, was used to train 28 patients with CID to regulate their amygdala activity for three sessions in 6 weeks. Resting-state fMRI data were collected before and after training. Then, voxel-based degree centrality (DC) method was used to explore the effect of rtfMRI-NF training. For regions with altered DC, we determined the specific connections to other regions that most strongly contributed to altered functional networks based on DC. Furthermore, the relationships between the DC value of the altered regions and changes in clinical variables were determined.
Patients with CID showed increased DC in the right postcentral gyrus, Rolandic operculum, insula, and superior parietal gyrus and decreased DC in the right supramarginal gyrus, inferior parietal gyrus, angular gyrus, middle occipital gyrus, and middle temporal gyrus. Seed-based functional connectivity analyses based on the altered DC regions showed more details about the altered functional networks. Clinical scores in Pittsburgh sleep quality index, insomnia severity index (ISI), Beck depression inventory, and Hamilton anxiety scale decreased. Furthermore, a remarkable positive correlation was found between the changed ISI score and DC values of the right insula.
This study confirmed that amygdala-based rtfMRI-NF training altered the intrinsic functional hubs, which reshaped the abnormal functional connections caused by insomnia and improved the sleep of patients with CID. These findings contribute to our understanding of the neurobiological mechanism of rtfMRI-NF in insomnia treatment. However, additional double-blinded controlled clinical trials with larger sample sizes need to be conducted to confirm the effect of rtfMRI-NF from this initial study.
慢性失眠障碍(CID)被认为是全球范围内的一个主要公共卫生问题。因此,迫切需要创新且有效的技术方法来研究CID的发病机制和临床综合治疗。
实时功能磁共振成像神经反馈(rtfMRI-NF)作为一种新的干预手段,用于在6周内对28例CID患者进行三个疗程的训练,以调节其杏仁核活动。在训练前后收集静息态功能磁共振成像数据。然后,使用基于体素的度中心性(DC)方法来探究rtfMRI-NF训练的效果。对于DC值发生改变的区域,我们基于DC确定了与其他区域最强烈促成功能网络改变的特定连接。此外,还确定了改变区域的DC值与临床变量变化之间的关系。
CID患者右侧中央后回、中央沟盖、脑岛和顶上叶的DC值增加,而右侧缘上回、顶下小叶、角回、枕中回和颞中回的DC值降低。基于DC改变区域的种子点功能连接分析揭示了功能网络改变的更多细节。匹兹堡睡眠质量指数、失眠严重程度指数(ISI)、贝克抑郁量表和汉密尔顿焦虑量表的临床评分均下降。此外,发现ISI得分的变化与右侧脑岛的DC值之间存在显著正相关。
本研究证实基于杏仁核的rtfMRI-NF训练改变了内在功能枢纽,重塑了由失眠引起的异常功能连接,并改善了CID患者的睡眠。这些发现有助于我们理解rtfMRI-NF在失眠治疗中的神经生物学机制。然而,需要进行更多样本量更大的双盲对照临床试验,以证实这项初步研究中rtfMRI-NF的效果。