High-Field Magnetic Resonance Department, Max Planck Institute for Biological Cybernetics, 72076 Tuebingen, Germany.
Graduate Training Centre of Neuroscience, International Max Planck Research School, University of Tuebingen, 72074 Tuebingen, Germany.
Proc Natl Acad Sci U S A. 2020 Mar 24;117(12):6875-6882. doi: 10.1073/pnas.1909937117. Epub 2020 Mar 5.
Pupillometry, a noninvasive measure of arousal, complements human functional MRI (fMRI) to detect periods of variable cognitive processing and identify networks that relate to particular attentional states. Even under anesthesia, pupil dynamics correlate with brain-state fluctuations, and extended dilations mark the transition to more arousable states. However, cross-scale neuronal activation patterns are seldom linked to brain state-dependent pupil dynamics. Here, we complemented resting-state fMRI in rats with cortical calcium recording (GCaMP-mediated) and pupillometry to tackle the linkage between brain-state changes and neural dynamics across different scales. This multimodal platform allowed us to identify a global brain network that covaried with pupil size, which served to generate an index indicative of the brain-state fluctuation during anesthesia. Besides, a specific correlation pattern was detected in the brainstem, at a location consistent with noradrenergic cell group 5 (A5), which appeared to be dependent on the coupling between different frequencies of cortical activity, possibly further indicating particular brain-state dynamics. The multimodal fMRI combining concurrent calcium recordings and pupillometry enables tracking brain state-dependent pupil dynamics and identifying unique cross-scale neuronal dynamic patterns under anesthesia.
瞳孔测量是一种非侵入性的唤醒度测量方法,可与人类功能磁共振成像 (fMRI) 互补,以检测认知处理的变化期,并确定与特定注意状态相关的网络。即使在麻醉状态下,瞳孔动力学也与大脑状态波动相关,并且瞳孔的持续扩张标志着向更易唤醒状态的转变。然而,跨尺度神经元激活模式很少与大脑状态相关的瞳孔动力学相关联。在这里,我们通过皮层钙记录 (GCaMP 介导) 和瞳孔测量来补充大鼠的静息态 fMRI,以解决不同尺度的大脑状态变化和神经动力学之间的联系。这种多模态平台使我们能够识别与瞳孔大小相关的全局大脑网络,该网络可用于生成麻醉期间大脑状态波动的指标。此外,在脑桥中检测到特定的相关模式,位置与去甲肾上腺素能细胞群 5 (A5) 一致,这似乎取决于皮质活动不同频率之间的耦合,可能进一步表明特定的大脑状态动力学。结合并发钙记录和瞳孔测量的多模态 fMRI 能够跟踪大脑状态相关的瞳孔动力学,并在麻醉下识别独特的跨尺度神经元动态模式。