Department of Psychology, University of Amsterdam, 1018 WB Amsterdam, The Netherlands.
Trends Cogn Sci. 2011 May;15(5):191-9. doi: 10.1016/j.tics.2011.03.007. Epub 2011 Apr 12.
Oscillations are a pervasive feature of neuronal activity in the cerebral cortex. Here, we propose a framework for understanding local cortical oscillation patterns in cognition: two classes of network interactions underlying two classes of cognitive functions produce different local oscillation patterns. Local excitatory-inhibitory interactions shape neuronal representations of sensory, motor and cognitive variables, and produce local gamma-band oscillations. By contrast, the linkage of such representations by integrative functions such as decision-making is mediated by long-range cortical interactions, which yield more diverse local oscillation patterns often involving the beta range. This framework reconciles different cortical oscillation patterns observed in recent studies and helps to understand the link between cortical oscillations and the fMRI signal. Our framework highlights the notion that cortical oscillations index the specific circuit-level mechanisms of cognition.
振荡是大脑皮层神经元活动的普遍特征。在这里，我们提出了一个理解认知中局部皮层振荡模式的框架：两种网络相互作用类别为两种认知功能类别提供基础，从而产生不同的局部振荡模式。局部兴奋性-抑制性相互作用塑造了感觉、运动和认知变量的神经元表示，并产生局部γ波段振荡。相比之下，通过决策等整合功能将这些表示联系起来是由长程皮层相互作用介导的，这会产生更具多样性的局部振荡模式，通常涉及β范围。该框架整合了近期研究中观察到的不同皮层振荡模式，并有助于理解皮层振荡与 fMRI 信号之间的联系。我们的框架强调了这样一种观点，即皮层振荡反映了认知的特定电路级机制。
