Troconis Eileen L, Ordoobadi Alexander J, Sommers Thomas F, Aziz-Bose Razina, Carter Ashley R, Trapani Josef G
Department of Biology, Amherst College, Amherst, MA, 01002, USA.
Neuroscience Program, Amherst College, Amherst, MA, 01002, USA.
J Physiol. 2017 Jan 1;595(1):265-282. doi: 10.1113/JP272466. Epub 2016 Jun 27.
Using high-speed videos time-locked with whole-animal electrical recordings, simultaneous measurement of behavioural kinematics and field potential parameters of C-start startle responses allowed for discrimination between short-latency and long-latency C-starts (SLCs vs. LLCs) in larval zebrafish. Apart from their latencies, SLC kinematics and SLC field potential parameters were intensity independent. Increasing stimulus intensity increased the probability of evoking an SLC and decreased mean SLC latencies while increasing their precision; subtraction of field potential latencies from SLC latencies revealed a fixed time delay between the two measurements that was intensity independent. The latency and the precision in the latency of the SLC field potentials were linearly correlated to the latencies and precision of the first evoked action potentials (spikes) in hair-cell afferent neurons of the lateral line. Together, these findings indicate that first spike latency (FSL) is a fast encoding mechanism that can serve to precisely initiate startle responses when speed is critical for survival.
Vertebrates rely on fast sensory encoding for rapid and precise initiation of startle responses. In afferent sensory neurons, trains of action potentials (spikes) encode stimulus intensity within the onset time of the first evoked spike (first spike latency; FSL) and the number of evoked spikes. For speed of initiation of startle responses, FSL would be the more advantageous mechanism to encode the intensity of a threat. However, the intensity dependence of FSL and spike number and whether either determines the precision of startle response initiation is not known. Here, we examined short-latency startle responses (SLCs) in larval zebrafish and tested the hypothesis that first spike latencies and their precision (jitter) determine the onset time and precision of SLCs. We evoked startle responses via activation of Channelrhodopsin (ChR2) expressed in ear and lateral line hair cells and acquired high-speed videos of head-fixed larvae while simultaneously recording underlying field potentials. This method allowed for discrimination between primary SLCs and less frequent, long-latency startle responses (LLCs). Quantification of SLC kinematics and field potential parameters revealed that, apart from their latencies, they were intensity independent. We found that increasing stimulus intensity decreased SLC latencies while increasing their precision, which was significantly correlated with corresponding changes in field potential latencies and their precision. Single afferent neuron recordings from the lateral line revealed a similar intensity-dependent decrease in first spike latencies and their jitter, which could account for the intensity-dependent changes in timing and precision of startle response latencies.
通过将高速视频与全动物电记录进行时间锁定,同时测量行为运动学和C型惊吓反应的场电位参数,能够区分斑马鱼幼体中的短潜伏期和长潜伏期C型惊吓反应(SLC与LLC)。除了潜伏期外,SLC的运动学和场电位参数与强度无关。增加刺激强度会增加诱发SLC的概率,缩短平均SLC潜伏期并提高其精确性;用SLC潜伏期减去场电位潜伏期可发现这两种测量之间存在固定的时间延迟,且该延迟与强度无关。SLC场电位的潜伏期及其精确性与侧线毛细胞传入神经元中首次诱发动作电位(尖峰)的潜伏期和精确性呈线性相关。这些发现共同表明,首次尖峰潜伏期(FSL)是一种快速编码机制,当速度对生存至关重要时,它可用于精确启动惊吓反应。
脊椎动物依靠快速的感觉编码来快速精确地启动惊吓反应。在传入感觉神经元中,动作电位序列(尖峰)在首次诱发尖峰的起始时间(首次尖峰潜伏期;FSL)和诱发尖峰的数量内编码刺激强度。对于惊吓反应的启动速度而言,FSL可能是编码威胁强度的更有利机制。然而,FSL和尖峰数量对强度的依赖性以及它们是否决定惊吓反应启动的精确性尚不清楚。在此,我们研究了斑马鱼幼体中的短潜伏期惊吓反应(SLC),并测试了首次尖峰潜伏期及其精确性(抖动)决定SLC的起始时间和精确性这一假设。我们通过激活耳和侧线毛细胞中表达的通道视紫红质(ChR2)诱发惊吓反应,并在同时记录基础场电位的情况下获取头部固定幼体的高速视频。这种方法能够区分主要的SLC和较少见的长潜伏期惊吓反应(LLC)。对SLC运动学和场电位参数的量化显示,除了潜伏期外,它们与强度无关。我们发现增加刺激强度会缩短SLC潜伏期并提高其精确性,这与场电位潜伏期及其精确性的相应变化显著相关。对侧线单个传入神经元的记录显示,首次尖峰潜伏期及其抖动也有类似的强度依赖性降低,这可以解释惊吓反应潜伏期在时间和精确性上的强度依赖性变化。