Escabí Monty A, Read Heather L, Viventi Jonathan, Kim Dae-Hyeong, Higgins Nathan C, Storace Douglas A, Liu Andrew S K, Gifford Adam M, Burke John F, Campisi Matthew, Kim Yun-Soung, Avrin Andrew E, Spiegel Jan Van der, Huang Yonggang, Li Ming, Wu Jian, Rogers John A, Litt Brian, Cohen Yale E
Department of Psychology, University of Connecticut, Storrs, Connecticut; Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut; Department of Electrical Engineering, University of Connecticut, Storrs, Connecticut;
Department of Psychology, University of Connecticut, Storrs, Connecticut; Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut;
J Neurophysiol. 2014 Sep 15;112(6):1566-83. doi: 10.1152/jn.00179.2013. Epub 2014 Jun 11.
Our understanding of the large-scale population dynamics of neural activity is limited, in part, by our inability to record simultaneously from large regions of the cortex. Here, we validated the use of a large-scale active microelectrode array that simultaneously records 196 multiplexed micro-electrocortigraphical (μECoG) signals from the cortical surface at a very high density (1,600 electrodes/cm(2)). We compared μECoG measurements in auditory cortex using a custom "active" electrode array to those recorded using a conventional "passive" μECoG array. Both of these array responses were also compared with data recorded via intrinsic optical imaging, which is a standard methodology for recording sound-evoked cortical activity. Custom active μECoG arrays generated more veridical representations of the tonotopic organization of the auditory cortex than current commercially available passive μECoG arrays. Furthermore, the cortical representation could be measured efficiently with the active arrays, requiring as little as 13.5 s of neural data acquisition. Next, we generated spectrotemporal receptive fields from the recorded neural activity on the active μECoG array and identified functional organizational principles comparable to those observed using intrinsic metabolic imaging and single-neuron recordings. This new electrode array technology has the potential for large-scale, temporally precise monitoring and mapping of the cortex, without the use of invasive penetrating electrodes.
我们对神经活动大规模群体动态的理解在一定程度上受到限制,原因是我们无法同时从大脑皮层的大片区域进行记录。在此,我们验证了一种大规模有源微电极阵列的用途,该阵列能以非常高的密度(1600个电极/平方厘米)同时从皮层表面记录196个复用的微脑电图(μECoG)信号。我们将使用定制“有源”电极阵列在听觉皮层进行的μECoG测量结果与使用传统“无源”μECoG阵列记录的结果进行了比较。这两种阵列的反应还与通过内在光学成像记录的数据进行了比较,内在光学成像是记录声音诱发皮层活动的标准方法。与目前市售的无源μECoG阵列相比,定制有源μECoG阵列能更真实地呈现听觉皮层的音频拓扑组织。此外,使用有源阵列可以高效地测量皮层表征,只需13.5秒的神经数据采集时间。接下来我们根据有源μECoG阵列上记录的神经活动生成了频谱时间感受野,并确定了与使用内在代谢成像和单神经元记录所观察到的功能组织原则相当的原则。这种新的电极阵列技术有可能在不使用侵入性穿透电极的情况下,对大脑皮层进行大规模、时间精确的监测和绘图。