School of Life Science and Technology, Xidian University, Xi'an, 710071, China.
Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, 710071, China.
Brain Imaging Behav. 2021 Oct;15(5):2524-2531. doi: 10.1007/s11682-021-00454-3. Epub 2021 Mar 2.
Dysfunction of the sleep-wake transition is considered to be associated with the pathology of patients with primary insomnia (PI). Previous animal study had reported that brain circuits between the striatum and cortex can regulate sleep-wake transitions. So far, few studies have systematically explored the structural connectivity of the striatum-centered circuits and their potential roles in patients with PI. In this study, we chosen the striatum as the seed and 10 priori target regions as masks to assess the structural connectivity by using seed-based classification with a diffusion tensor imaging (DTI) probabilistic tractography method. Track strengths of the striatum-centered circuits were compared between 22 patients with PI (41.27 ± 9.21 years) and 30 healthy controls (HC) (35.2 ± 8.14 years). Pittsburgh Sleep Quality Index (PSQI) was used to measure the sleep quality in all participants. Lower track strengths (left striatum- anterior cingulate cortex (ACC), left striatum- dorsal anterior cingulate cortex (dACC), left striatum-Hippocampus, and right striatum-Hippocampus) were observed in patients with PI compared to HC. Additionally, the lower track strengths of brain circuits mentioned above were negatively correlated with PSQI. Taken together, our findings revealed the lower tract strength of frontostriatal circuits in patients with PI and HC, which provided the implications of the system-level structural connections of frontostriatal circuits in the pathology of PI. We suggested that the track strengths of the frontostriatal circuits calculated from DTI can be the potential neuroimaging biomarkers of the sleep quality in patients with PI.
睡眠-觉醒转换功能障碍被认为与原发性失眠(PI)患者的病理有关。先前的动物研究报告称,纹状体和皮质之间的大脑回路可以调节睡眠-觉醒转换。到目前为止,很少有研究系统地探讨以纹状体为中心的回路的结构连接及其在 PI 患者中的潜在作用。在这项研究中,我们选择纹状体作为种子,以 10 个先验目标区域作为掩模,使用基于种子的分类和扩散张量成像(DTI)概率追踪方法评估结构连接。将 22 名 PI 患者(41.27±9.21 岁)和 30 名健康对照(HC)(35.2±8.14 岁)之间的纹状体中心回路的轨迹强度进行比较。所有参与者均使用匹兹堡睡眠质量指数(PSQI)测量睡眠质量。与 HC 相比,PI 患者的纹状体中心回路的轨迹强度较低(左侧纹状体-前扣带皮层(ACC)、左侧纹状体-背侧前扣带皮层(dACC)、左侧纹状体-海马体和右侧纹状体-海马体)。此外,上述脑回路的较低轨迹强度与 PSQI 呈负相关。总之,我们的发现揭示了 PI 患者和 HC 中额纹状体回路的较低轨迹强度,这为额纹状体回路的系统水平结构连接在 PI 病理中的作用提供了启示。我们建议,从 DTI 计算出的额纹状体回路的轨迹强度可以成为 PI 患者睡眠质量的潜在神经影像学生物标志物。