Hudetz Anthony G, Liu Xiping, Pillay Siveshigan, Boly Melanie, Tononi Giulio
Department of Anesthesiology and Center for Consciousness Science, University of Michigan, Ann Arbor, MI, United States.
Department of Anesthesiology, Medical College of Wisconsin, Milwaukee, WI, United States.
Neurosci Lett. 2016 Aug 15;628:132-5. doi: 10.1016/j.neulet.2016.06.017. Epub 2016 Jun 9.
Consciousness is thought to scale with brain complexity, and it may be diminished in anesthesia. Lempel-Ziv complexity (LZC) of field potentials has been shown to be a promising measure of the level of consciousness in anesthetized human subjects, neurological patients, and across the sleep-wake states in rats. Whether this relationship holds for intrinsic networks obtained by functional brain imaging has not been tested. To fill this gap of knowledge, we estimated LZC from large-scale dynamic analysis of functional magnetic resonance images (fMRI) in conscious sedated and unconscious anesthetized rats. Blood oxygen dependent (BOLD) signals were obtained from 30-min whole-brain resting-state scans while the anesthetic propofol was infused intravenously at constant infusion rates of 20mg/kg/h (conscious sedated) and 40mg/kg/h (unconscious). Dynamic brain networks were defined at voxel level by sliding window analysis of regional homogeneity (ReHo) of the BOLD signal. From scans performed at low to high propofol dose, the LZC was significantly reduced by 110%. The results suggest that the difference in LZC between conscious sedated and anesthetized unconscious subjects is conserved in rats and this effect is detectable in large-scale brain network obtained from fMRI.
意识被认为与大脑复杂性相关,并且在麻醉状态下可能会减弱。场电位的莱姆尔-齐夫复杂性(LZC)已被证明是评估麻醉状态下人类受试者、神经科患者以及大鼠睡眠-觉醒状态下意识水平的一种有前景的指标。这种关系是否适用于通过功能性脑成像获得的内在网络尚未得到验证。为了填补这一知识空白,我们通过对清醒镇静和无意识麻醉大鼠的功能磁共振成像(fMRI)进行大规模动态分析来估计LZC。在静脉内以20mg/kg/h(清醒镇静)和40mg/kg/h(无意识)的恒定输注速率输注麻醉药物丙泊酚时,从30分钟的全脑静息状态扫描中获取血氧依赖(BOLD)信号。通过对BOLD信号的区域同质性(ReHo)进行滑动窗口分析,在体素水平定义动态脑网络。从低到高丙泊酚剂量的扫描结果显示,LZC显著降低了110%。结果表明,清醒镇静和麻醉无意识受试者之间的LZC差异在大鼠中是保守的,并且这种效应在从fMRI获得的大规模脑网络中是可检测到的。