Local field potentials in dorsal anterior cingulate sulcus reflect rewards but not travel time costs during foraging.

Brain and neuroscience advances Pub Date : 2019-01-18 eCollection Date: 2019-01-01 DOI:10.1177/2398212818817932
Arjun Ramakrishnan, Benjamin Y Hayden, Michael L Platt
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引用次数: 9

Abstract

To maximise long-term reward rates, foragers deciding when to leave a patch must compute a decision variable that reflects both the immediately available reward and the time costs associated with travelling to the next patch. Identifying the mechanisms that mediate this computation is central to understanding how brains implement foraging decisions. We previously showed that firing rates of dorsal anterior cingulate sulcus neurons incorporate both variables. This result does not provide information about whether integration of information reflected in dorsal anterior cingulate sulcus spiking activity arises locally or whether it is inherited from upstream structures. Here, we examined local field potentials gathered simultaneously with our earlier recordings. In the majority of recording sites, local field potential spectral bands - specifically theta, beta, and gamma frequency ranges - encoded immediately available rewards but not time costs. The disjunction between information contained in spiking and local field potentials can constrain models of foraging-related processing. In particular, given the proposed link between local field potentials and inputs to a brain area, it raises the possibility that local processing within dorsal anterior cingulate sulcus serves to more fully bind immediate reward and time costs into a single decision variable.

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背前扣带沟的局部场电位反映觅食过程中的奖励,但不反映觅食过程中的旅行时间成本。
为了使长期奖励率最大化,觅食者决定何时离开一个斑块必须计算一个决策变量,这个决策变量既反映了立即可用的奖励,也反映了前往下一个斑块的时间成本。确定调解这种计算的机制是理解大脑如何执行觅食决策的核心。我们以前表明,背前扣带沟神经元的放电率包含这两个变量。这一结果并没有提供信息,是否反映在背前扣带沟峰活动的信息整合是局部发生的,还是从上游结构遗传而来。在这里,我们检查了与早期记录同时收集的局部场电位。在大多数记录地点,局部场电位谱带-特别是theta, beta和gamma频率范围-编码立即可用的奖励,而不是时间成本。峰值信息和局部场电位之间的脱节可能会限制觅食相关加工模型。特别是,考虑到局部场电位和大脑区域输入之间的联系,它提出了一种可能性,即在背前扣带沟内的局部处理有助于更充分地将即时奖励和时间成本绑定到一个单一的决策变量中。
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