Daly Kevin C, Galán Roberto F, Peters Oakland J, Staudacher Erich M
Department of Biology, West Virginia University Morgantown, WV, USA.
Front Neuroeng. 2011 Oct 25;4:12. doi: 10.3389/fneng.2011.00012. eCollection 2011.
The transient oscillatory model of odor identity encoding seeks to explain how odorants with spatially overlapped patterns of input into primary olfactory networks can be discriminated. This model provides several testable predictions about the distributed nature of network oscillations and how they control spike timing. To test these predictions, 16 channel electrode arrays were placed within the antennal lobe (AL) of the moth Manduca sexta. Unitary spiking and multi site local field potential (LFP) recordings were made during spontaneous activity and in response to repeated presentations of an odor panel. We quantified oscillatory frequency, cross correlations between LFP recording sites, and spike-LFP phase relationships. We show that odor-driven AL oscillations in Manduca are frequency modulating (FM) from ∼100 to 30 Hz; this was odorant and stimulus duration dependent. FM oscillatory responses were localized to one or two recording sites suggesting a localized (perhaps glomerular) not distributed source. LFP cross correlations further demonstrated that only a small (r < 0.05) distributed and oscillatory component was present. Cross spectral density analysis demonstrated the frequency of these weakly distributed oscillations was state dependent (spontaneous activity = 25-55 Hz; odor-driven = 55-85 Hz). Surprisingly, vector strength analysis indicated that unitary phase locking of spikes to the LFP was strongest during spontaneous activity and dropped significantly during responses. Application of bicuculline, a GABA(A) receptor antagonist, significantly lowered the frequency content of odor-driven distributed oscillatory activity. Bicuculline significantly reduced spike phase locking generally, but the ubiquitous pattern of increased phase locking during spontaneous activity persisted. Collectively, these results indicate that oscillations perform poorly as a stimulus-mediated spike synchronizing mechanism for Manduca and hence are incongruent with the transient oscillatory model.
气味识别编码的瞬态振荡模型旨在解释具有空间重叠输入模式进入初级嗅觉网络的气味剂是如何被区分的。该模型提供了一些关于网络振荡的分布式性质以及它们如何控制尖峰时间的可测试预测。为了测试这些预测,将16通道电极阵列放置在烟草天蛾的触角叶(AL)内。在自发活动期间以及对一组气味的重复呈现做出反应时,进行了单细胞放电和多部位局部场电位(LFP)记录。我们对振荡频率、LFP记录部位之间的交叉相关性以及放电-LFP相位关系进行了量化。我们发现,烟草天蛾中气味驱动的AL振荡是从~100到30Hz的频率调制(FM);这取决于气味剂和刺激持续时间。FM振荡反应局限于一两个记录部位,表明是局部(可能是肾小球)而非分布式来源。LFP交叉相关性进一步表明,仅存在一个小的(r < 0.05)分布式和振荡成分。交叉谱密度分析表明,这些弱分布式振荡的频率取决于状态(自发活动 = 25 - 55Hz;气味驱动 = 55 - 85Hz)。令人惊讶的是,矢量强度分析表明,在自发活动期间,放电与LFP的单位相位锁定最强,而在反应期间显著下降。应用GABA(A)受体拮抗剂荷包牡丹碱可显著降低气味驱动的分布式振荡活动的频率成分。荷包牡丹碱通常会显著降低放电相位锁定,但自发活动期间相位锁定增加的普遍模式仍然存在。总体而言,这些结果表明,振荡作为烟草天蛾的刺激介导的放电同步机制表现不佳,因此与瞬态振荡模型不一致。