Liang Peipeng, Zhang Han, Xu Yachao, Jia Wenbin, Zang Yufeng, Li Kuncheng
Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100053, China.
Hum Brain Mapp. 2015 Nov;36(11):4247-61. doi: 10.1002/hbm.22914. Epub 2015 Aug 28.
This work examines the effect of midazolam-induced light sedation on intrinsic functional connectivity of human brain, using a randomized, double-blind, placebo-controlled, cross-over, within-subject design. Fourteen healthy young subjects were enrolled and midazolam (0.03 mg/kg of the participant's body mass, to a maximum of 2.5 mg) or saline were administrated with an interval of one week. Resting-state fMRI was conducted before and after administration for each subject. We focus on two types of networks: sensory related lower-level functional networks and higher-order functions related ones. Independent component analysis (ICA) was used to identify these resting-state functional networks. We hypothesize that the sensory (visual, auditory, and sensorimotor) related networks will be intact under midazolam-induced light sedation while the higher-order (default mode, executive control, salience networks, etc.) networks will be functionally disconnected. It was found that the functional integrity of the lower-level networks was maintained, while that of the higher-level networks was significantly disrupted by light sedation. The within-network connectivity of the two types of networks was differently affected in terms of direction and extent. These findings provide direct evidence that higher-order cognitive functions including memory, attention, executive function, and language were impaired prior to lower-level sensory responses during sedation. Our result also lends support to the information integration model of consciousness.
本研究采用随机、双盲、安慰剂对照、交叉、受试者内设计,探讨咪达唑仑诱导的轻度镇静对人脑内在功能连接性的影响。招募了14名健康的年轻受试者,以一周的间隔分别给予咪达唑仑(0.03mg/kg受试者体重,最大剂量为2.5mg)或生理盐水。对每个受试者在给药前后进行静息态功能磁共振成像。我们关注两种类型的网络:与感觉相关的低级功能网络和与高阶功能相关的网络。使用独立成分分析(ICA)来识别这些静息态功能网络。我们假设,在咪达唑仑诱导的轻度镇静下,与感觉(视觉、听觉和感觉运动)相关的网络将保持完整,而高阶(默认模式、执行控制、突显网络等)网络将在功能上断开连接。结果发现,低级网络的功能完整性得以维持,而高级网络的功能完整性则受到轻度镇静的显著破坏。两种类型网络的网络内连接性在方向和程度上受到不同的影响。这些发现提供了直接证据,表明在镇静过程中,包括记忆、注意力、执行功能和语言在内的高阶认知功能在低级感觉反应之前就受到了损害。我们的结果也支持了意识的信息整合模型。