Başar Erol, Güntekin Bahar, Oniz Adile
Faculty of Science and Letters, Istanbul Kültür University, Istanbul Turkey.
Prog Brain Res. 2006;159:43-62. doi: 10.1016/S0079-6123(06)59004-1.
The research of event-related oscillations is one of fast-growing fields in neuroscience. In this study, a theory of the "whole-brain-work," which can be useful for functional interpretation of brain oscillations, is presented together with its application to recognition of faces and facial expressions. Following results are summarized: (1) Mechanisms leading to the perception of the grandmother picture are manifested with parallel activations of neural assemblies in different cortical locations and as superposition of delta, theta, alpha, beta, and gamma oscillations. Known and anonymous faces can be differentiated by means of oscillatory brain dynamics. Percepts cannot be localized in a given specific region. The differentiation of facial expression induces significant change in alpha and theta oscillation. (2) While the importance of fMRI in object recognition is clear, this method has low temporal resolution. Our results shows that multiple brain oscillations clearly differentiate the known and unknown faces with varied degrees of selective-responsiveness in a short time window between 0 and 800 ms, thus completing and implementing the analysis of percepts in the dynamic window and indicating a broader distribution at the cortex. (3) The presented evidence of selectively distributed multiple oscillations for differentiation of facial percepts is in conceptual accordance with the "selectively distributed processing" in neurocognitive networks of Goldman-Rakic, Fuster, and of Mesulam. The large-scale approach of several investigators is also confirmed with the new results. On facial stimuli, a given location can show a considerable selected activation, but the formation of percepts is manifested by multiple oscillations with differentiated weight in large neural populations. (4) The most important feature of the comparison of percepts of grandmother and anonymous faces is the existence of a variety of significant differences in delta, theta, alpha, beta, and gamma responses between the anonymous and grandmother faces in frontal, central, parietal, temporal, and occipital sites. (5) The brain response is a construct in a multi-dimensional state manifested by amplitudes of oscillatory responses, topological coordinates, and changes in the time axis following presentation of the percepts including delays and prolongations, coherence between locations. Only a new metrics embracing all these parameters can be representative for dynamics of functionality in the brain. The conceptual aspects of this new scope are explained in the presented theory.
事件相关振荡的研究是神经科学中快速发展的领域之一。在本研究中,提出了一种“全脑工作”理论,该理论有助于对脑振荡进行功能解释,并介绍了其在面部和面部表情识别中的应用。总结如下结果:(1) 导致识别祖母图片的机制表现为不同皮质位置的神经集合的并行激活,以及δ、θ、α、β和γ振荡的叠加。已知面孔和匿名面孔可通过振荡脑动力学进行区分。感知不能定位于特定的给定区域。面部表情的区分会引起α和θ振荡的显著变化。(2) 虽然功能磁共振成像在物体识别中的重要性是明确的,但该方法的时间分辨率较低。我们的结果表明,多种脑振荡在0至800毫秒的短时间窗口内以不同程度的选择性反应清晰地区分已知面孔和未知面孔,从而在动态窗口中完成并实现感知分析,并表明在皮质中分布更广。(3) 所呈现的关于面部感知区分的选择性分布的多种振荡的证据在概念上与戈德曼 - 拉基奇、富斯特和梅苏拉姆的神经认知网络中的“选择性分布式处理”一致。几位研究者的大规模研究方法也得到了新结果的证实。对面部刺激而言,给定位置可显示相当程度的选择性激活,但感知的形成表现为在大神经群体中具有不同权重的多种振荡。(4) 祖母面孔和匿名面孔感知比较的最重要特征是,在额叶、中央、顶叶、颞叶和枕叶部位,匿名面孔和祖母面孔之间在δ、θ、α、β和γ反应方面存在多种显著差异。(5) 脑反应是一种多维状态的构建,表现为振荡反应的幅度、拓扑坐标以及在呈现感知(包括延迟和延长)后时间轴上的变化、不同位置之间的相干性。只有包含所有这些参数的新指标才能代表大脑功能的动态变化。本理论解释了这一新范围的概念方面。