Sellers Kristin K, Bennett Davis V, Fröhlich Flavio
Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Brain Res. 2015 Feb 19;1598:31-45. doi: 10.1016/j.brainres.2014.12.016. Epub 2014 Dec 12.
Neuronal firing responses in visual cortex reflect the statistics of visual input and emerge from the interaction with endogenous network dynamics. Artificial visual stimuli presented to animals in which the network dynamics were constrained by anesthetic agents or trained behavioral tasks have provided fundamental understanding of how individual neurons in primary visual cortex respond to input. In contrast, very little is known about the mesoscale network dynamics and their relationship to microscopic spiking activity in the awake animal during free viewing of naturalistic visual input. To address this gap in knowledge, we recorded local field potential (LFP) and multiunit activity (MUA) simultaneously in all layers of primary visual cortex (V1) of awake, freely viewing ferrets presented with naturalistic visual input (nature movie clips). We found that naturalistic visual stimuli modulated the entire oscillation spectrum; low frequency oscillations were mostly suppressed whereas higher frequency oscillations were enhanced. In average across all cortical layers, stimulus-induced change in delta and alpha power negatively correlated with the MUA responses, whereas sensory-evoked increases in gamma power positively correlated with MUA responses. The time-course of the band-limited power in these frequency bands provided evidence for a model in which naturalistic visual input switched V1 between two distinct, endogenously present activity states defined by the power of low (delta, alpha) and high (gamma) frequency oscillatory activity. Therefore, the two mesoscale activity states delineated in this study may define the degree of engagement of the circuit with the processing of sensory input.
视觉皮层中的神经元放电反应反映了视觉输入的统计信息,并源于与内源性网络动力学的相互作用。向动物呈现人工视觉刺激,其中网络动力学受麻醉剂或训练过的行为任务约束,这为理解初级视觉皮层中的单个神经元如何对输入做出反应提供了基础。相比之下,对于清醒动物在自由观看自然视觉输入时的中尺度网络动力学及其与微观尖峰活动的关系,我们知之甚少。为了填补这一知识空白,我们在清醒、自由观看自然视觉输入(自然电影片段)的雪貂的初级视觉皮层(V1)的所有层中同时记录了局部场电位(LFP)和多单元活动(MUA)。我们发现自然视觉刺激调制了整个振荡频谱;低频振荡大多受到抑制,而高频振荡则增强。在所有皮层层的平均值中,刺激引起的δ和α功率变化与MUA反应呈负相关,而感觉诱发的γ功率增加与MUA反应呈正相关。这些频段中带限功率的时间进程为一个模型提供了证据,在该模型中,自然视觉输入使V1在由低(δ、α)和高(γ)频率振荡活动的功率定义的两种不同的、内源性存在的活动状态之间切换。因此,本研究中描绘的两种中尺度活动状态可能定义了该回路参与感觉输入处理的程度。