Frontal eye field inactivation alters the readout of superior colliculus activity for saccade generation in a task-dependent manner.

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Computational Neuroscience Pub Date : 2021-08-01 Epub Date: 2020-11-08 DOI:10.1007/s10827-020-00760-7
Tyler R Peel, Suryadeep Dash, Stephen G Lomber, Brian D Corneil
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引用次数: 9

Abstract

Saccades require a spatiotemporal transformation of activity between the intermediate layers of the superior colliculus (iSC) and downstream brainstem burst generator. The dynamic linear ensemble-coding model (Goossens and Van Opstal 2006) proposes that each iSC spike contributes a fixed mini-vector to saccade displacement. Although biologically-plausible, this model assumes cortical areas like the frontal eye fields (FEF) simply provide the saccadic goal to be executed by the iSC and brainstem burst generator. However, the FEF and iSC operate in unison during saccades, and a pathway from the FEF to the brainstem burst generator that bypasses the iSC exists. Here, we investigate the impact of large yet reversible inactivation of the FEF on iSC activity in the context of the model across four saccade tasks. We exploit the overlap of saccade vectors generated when the FEF is inactivated or not, comparing the number of iSC spikes for metrically-matched saccades. We found that the iSC emits fewer spikes for metrically-matched saccades during FEF inactivation. The decrease in spike count is task-dependent, with a greater decrease accompanying more cognitively-demanding saccades. Our results show that FEF integrity influences the readout of iSC activity in a task-dependent manner. We propose that the dynamic linear ensemble-coding model be modified so that FEF inactivation increases the gain of a readout parameter, effectively increasing the influence of a single iSC spike. We speculate that this modification could be instantiated by FEF and iSC pathways to the cerebellum that could modulate the excitability of the brainstem burst generator.

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额叶视野失活以一种任务依赖的方式改变了上丘活动对扫视产生的读出。
扫视需要上丘(iSC)中间层和下游脑干爆发发生器之间的活动时空转换。动态线性集成编码模型(Goossens and Van Opstal 2006)提出,每个iSC尖峰对眼跳位移贡献一个固定的小向量。尽管在生物学上是合理的,但该模型假设皮层区域,如额眼区(FEF),只是提供跳眼目标,由iSC和脑干爆发发生器执行。然而,在扫视过程中,FEF和iSC是一致运作的,并且存在一条从FEF到脑干爆发发生器的途径,绕过iSC。在此,我们研究了在四种扫视任务的模型背景下,FEF大而可逆的失活对iSC活动的影响。我们利用FEF不激活或不激活时产生的扫视向量的重叠,比较iSC尖峰的数量。我们发现,在FEF失活期间,iSC对度量匹配的扫视发出更少的尖峰。尖峰数的减少与任务相关,随着认知要求更高的扫视,尖峰数的减少幅度更大。我们的研究结果表明,FEF完整性以任务依赖的方式影响iSC活动的读数。我们建议修改动态线性集成编码模型,使FEF失活增加读出参数的增益,从而有效地增加单个iSC尖峰的影响。我们推测,这种改变可以通过FEF和iSC途径到小脑来实例化,这些途径可以调节脑干爆发发生器的兴奋性。
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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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