Hessler Neal A, Okanoya Kazuo
Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.
Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan; Cognition and Behavior Joint Laboratory, RIKEN Brain Science Institute, Saitama, Japan.
Behav Brain Res. 2018 Sep 3;349:37-41. doi: 10.1016/j.bbr.2018.04.044. Epub 2018 Apr 27.
The avian song system is a group of brain areas specialized for vocal learning and production of song. A major cortical control area, HVC, projects both to a motor output circuit and to a striatal area in the anterior forebrain pathway. These projections are made by two groups of neurons, with mainly distinct roles in either programming vocal production or regulating vocal plasticity. In order to distinguish these two types of projection neurons in singing birds, we recorded unit activity in HVC of anesthetized birds, while stimulating in the anterior forebrain nucleus Area X. HVC units identified in this way had a distinct spike waveform, with a much longer duration positive peak than an initial negative one. We further found that units with a very similar spike waveform were phasically active during singing, firing at specific points of a limited number of song syllables. These units were also less active when birds only heard their own song, during the same syllables. While similar results from anesthetized and awake recordings have been reported in previous studies, the combination of both types of experiments here may be useful as a basis for identifying HVC neurons projecting to Area X based on their spike waveforms, and aid further study of their role in song learning and control.
鸟类鸣叫系统是一组专门用于发声学习和鸣叫产生的脑区。一个主要的皮层控制区,即HVC,既投射到运动输出回路,也投射到前脑通路中的一个纹状体区域。这些投射由两组神经元完成,它们在编程发声或调节发声可塑性方面主要具有不同的作用。为了区分鸣禽中这两种类型的投射神经元,我们在麻醉鸟类的HVC中记录单位活动,同时刺激前脑核X区。以这种方式识别的HVC单位具有独特的尖峰波形,其正峰持续时间比初始负峰长得多。我们进一步发现,具有非常相似尖峰波形的单位在鸣叫期间呈相位活跃,在有限数量的歌曲音节的特定点放电。当鸟类在相同音节期间仅听到自己的歌声时,这些单位的活动也较少。虽然先前的研究报告了麻醉和清醒记录的类似结果,但这里两种类型实验的结合可能有助于作为根据尖峰波形识别投射到X区的HVC神经元的基础,并有助于进一步研究它们在鸣叫学习和控制中的作用。