Correlation analysis of corticotectal interactions in the cat visual system
Correlation analysis of corticotectal interactions in the cat visual system
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DOI：
10.1152/jn.1998.79.5.2394
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发表时间：
1998-05-01
影响因子：
2.5
通讯作者：
Engel, AK
中科院分区：
文献类型：
--
作者：
Brecht, M;Singer, W;Engel, AK
我们研究了猫上级丘（SC）的各个视皮层区[17、18、后内侧外侧上斜坡（PMLS）、后外侧外侧上斜坡（PLLS）、21 a]）和浅层的视觉反应之间的时间关系。为此，在麻醉的麻痹猫的一个或多个视觉皮层区域和SC中同时记录，并对视觉诱发的多单位反应进行相关分析。489个皮质-SC对中有117个（24%）出现了显著相关性，并发现所有记录的皮质区。约有一半的显着相关图显示振荡调制。在这些情况下，振荡频率覆盖了很宽的范围，大部分在α和β波段。平均而言，交叉相关图中的显著中心峰具有0.34的调制幅度。我们的分析揭示了一个相当大的试验间的相关模式的相关强度和振荡频率的变化。此外，皮质区不同的corticotectal相关模式。涉及皮质-顶盖相关性的细胞百分比，以及在这种情况下显著调制的相关图的百分比，在17区和PMLS中较低，但在18区和PLLS中较高。参与这些相互作用的皮质层的分析表明，一致的皮质和丘反应之间的时间关系并不局限于第五层。我们的数据表明皮质-顶盖相互作用和皮质内或丘内同步之间的密切关系。从这些网站的试验分析显示了一个明确的协方差皮质内同步的相关性。观察皮质-顶盖相互作用的概率增加增强局部皮质和丘同步，特别是，与interareal皮质的相关性。皮质顶盖的相关模式在许多方面与视觉皮质区域的相关模式相似。然而，所观察到的相关性弱于附近的皮质部位之间的相关性，通常表现出更宽的峰值，并且对于某些皮质区域，表现出一致的相移。皮质-顶盖相关性代表了群体现象，反映了皮质和丘网络中活动的局部和全局时间组织，并且不产生于纯粹的单突触相互作用。我们的研究结果表明，无论是纹状体和纹外输入的影响，在合作的方式，因此，不支持的看法，在表面SC的反应完全依赖于输入的初级视觉区的概念所暗示的“两个皮质-顶盖系统。“我们得出结论，皮质顶盖投射传达了高可靠性的时间激活模式，从而允许SC评估编码在空间分布的皮质神经元反应之间的时间关系中的信息。因此，分布在多个皮层区域的信息可以以连贯的方式影响SC神经元。
We have studied the temporal relationship between visual responses in various visual cortical areas [17, 18, postero medial lateral suprasylvian (PMLS), postero lateral lateral suprasylvian (PLLS), 21a]) and the superficial layers of the cat superior colliculus (SC). To this end, simultaneous recordings were per formed in one or several visual cortical areas and the SC of anesthetized paralyzed cats, and visually evoked multiunit responses were subjected to correlation analysis. Significant correlations occurred in 117 (24%) of 489 cortex-SC pairs and were found for all cortical areas recorded. About half of the significant correlograms showed an oscillatory modulation. In these cases, oscillation frequencies covered a broad range, the majority being in the alpha-and beta-band. On average, significant center peaks in cross-correlograms had a modulation amplitude of 0.34. Our analysis revealed a considerable intertrial variability of correlation patterns with respect to both correlation strength and oscillation frequency. Furthermore, cortical areas differed in their corticotectal correlation patterns. The percentage of cells involved a corticotectal correlation, as well as the percentage of significantly modulated correlograms in such cases, was low for areas 17 and PMLS but high for areas 18 and PLLS. Analysis of the cortical layers involved in these interactions showed that consistent temporal relationships between cortical and collicular responses were not restricted to layer V. Our data demonstrate a close relationship between corticotectal interactions and intracortical or intracollicular synchronization. Trial-by-trial analysis from these sites revealed a clear covariance of corticotectal correlations with intracortical synchronization. The probability of observing corticotectal interactions increased with enhanced local cortical and collicular synchronization and, in particular, with interareal cortical correlations. Corticotectal correlation patterns resemble in many ways those described among areas of the visual cortex. However, the correlations observed are weaker than those between nearby cortical sites, exhibit usually broader peaks and for some cortical areas show consistent phase-shifts. Corticotectal correlations represent population phenomena that reflect both the local and global temporal organization of activity in the cortical and collicular network and do not arise from purely monosynaptic interactions. Our findings show that both striate and extrastriate inputs affect the superficial SC in a cooperative manner and, thus, do not support the view that responses in the superficial SC depend exclusively on input from the primary visual areas as implied by the concept of "two corticotectal systems." We conclude that the corticotectal projections convey temporal activation patterns with high reliability, thus allowing the SC evaluation of information encoded in the temporal relations between responses of spatially disseminated cortical neurons. As a consequence, information distributed across multiple cortical areas can affect the SC neurons in a coherent way.