Kay Leslie M
Department of Psychology, Institute for Mind and Biology, The University of Chicago, Chicago, IL, USA.
Prog Brain Res. 2014;208:223-51. doi: 10.1016/B978-0-444-63350-7.00009-7.
Olfactory system neural oscillations as seen in the local field potential have been studied for many decades. Recent research has shown that there is a functional role for the most studied gamma oscillations (40-100Hz in rats and mice, and 20Hz in insects), without which fine odor discrimination is poor. When these oscillations are increased artificially, fine discrimination is increased, and when rats learn difficult and highly overlapping odor discriminations, gamma is increased in power. Because of the depth of study on this oscillation, it is possible to point to specific changes in neural firing patterns as represented by the increase in gamma oscillation amplitude. However, we know far less about the mechanisms governing beta oscillations (15-30Hz in rats and mice), which are best associated with associative learning of responses to odor stimuli. These oscillations engage every part of the olfactory system that has so far been tested, plus the hippocampus, and the beta oscillation frequency band is the one that is most reliably coherent with other regions during odor processing. Respiratory oscillations overlapping with the theta frequency band (2-12Hz) are associated with odor sniffing and normal breathing in rats. They also show coupling in some circumstances between olfactory areas and rare coupling between the hippocampus and olfactory bulb. The latter occur in specific learning conditions in which coherence strength is negatively or positively correlated with performance, depending on the task. There is still much to learn about the role of neural oscillations in learning and memory, but techniques that have been brought to bear on gamma oscillations (current source density, computational modeling, slice physiology, behavioral studies) should deliver much needed knowledge of these events.
数十年来,人们一直在研究局部场电位中所见的嗅觉系统神经振荡。最近的研究表明,研究最多的伽马振荡(大鼠和小鼠中为40-100赫兹,昆虫中为20赫兹)具有功能作用,没有这种振荡,精细的气味辨别能力就会很差。当这些振荡人为增加时,精细辨别能力会增强,而当大鼠学习困难且高度重叠的气味辨别时,伽马功率会增加。由于对这种振荡的研究深入,有可能指出由伽马振荡幅度增加所代表的神经放电模式的具体变化。然而,我们对控制贝塔振荡(大鼠和小鼠中为15-30赫兹)的机制了解得要少得多,贝塔振荡与对气味刺激的反应的联想学习最相关。这些振荡涉及到目前已测试的嗅觉系统的各个部分,加上海马体,并且在气味处理过程中,贝塔振荡频段是与其他区域最可靠地保持相干的频段。与theta频段(2-12赫兹)重叠的呼吸振荡与大鼠的气味嗅闻和正常呼吸有关。它们在某些情况下还显示出嗅觉区域之间的耦合以及海马体与嗅球之间罕见的耦合。后者发生在特定的学习条件下,其中相干强度与表现呈负相关或正相关,具体取决于任务。关于神经振荡在学习和记忆中的作用仍有许多需要了解的地方,但已应用于伽马振荡的技术(电流源密度、计算建模、脑片生理学、行为研究)应该能提供有关这些事件急需的知识。