Neurochemical control of patch-leaving decisions via modulation of network dynamics

通过调节网络动态来神经化学控制斑块离开决策

• 批准号: 396403809
• 负责人: Professor Dr. Gerhard Jocham
• 金额: --
• 依托单位: Wellcome Centre for Human Neuroimaging
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2023-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/396403809?language=en
• 关键词: Neurochemical; control; patch; leaving; decisions

Should I spend a lot of time, effort and money to move to a different city for a new job? Or should I stay where I am and stick with my current job? This kind of stay-switch decision, in behavioural ecology often termed patch-leaving (a subclass of foraging decisions), is an important decision problem that we often face in everyday life. Because of the sequential nature of patch-leaving, any decision has consequences that last beyond the current trial - after having moved to a different habitat, one cannot simply move back to the previous location without having to pay a cost again. This makes patch-leaving different from standard reward-guided choice, in which this strategic sequential component is not present. Research on human foraging is a rather new field, but it has already been shown that this kind of decision relies on neural circuitry that is distinct from (albeit overlapping) that supporting simple reward-guided choice. While the evidence so far suggests a crucial role for a network of brain regions centred on the anterior cingulate cortex (ACC), little is known about the temporal dynamics of neural activity underlying patch-leaving decisions. The studies conducted so far hint at the possibility that the key decision variable (DV) for foraging may be represented in cortical oscillatory activity in ACC in the theta and gamma range. Likewise, a few studies and theoretical proposal suggest a key role for neuromodulatory systems in the relevant computations. The present project will test a number of novel hypotheses. Using MEG and concurrent EEG-fMRI, it will be investigated how the key DV for patch-leaving is represented in cortical oscillatory activity in a number of candidate cortical regions, most importantly in the ACC. Furthermore, neurochemical activity will either be measured with MR spectroscopy or manipulated with pharmacological challenges. This will elucidate how neurochemical systems govern patch-leaving decisions by controlling the temporal dynamics of neural activity. If interference with neurochemical systems should perturb both oscillatory representations and associated behaviour, these studies would also provide evidence to what extent these patterns are causally relevant for patch-leaving.

我是否应该花费大量的时间、精力和金钱搬到另一个城市去找一份新工作？或者我应该留在我现在的位置，继续我现在的工作？在行为生态学中，这种停留转换决策通常被称为斑块离开（觅食决策的一个子类），是我们在日常生活中经常面临的一个重要决策问题。由于斑块离开的连续性，任何决定的后果都将持续到当前的试验之后--在迁移到不同的栖息地之后，一个人不能简单地回到以前的位置而不必再次支付费用。这使得补丁离开不同于标准的奖励导向的选择，在这种战略顺序组件不存在。对人类觅食行为的研究是一个相当新的领域，但已有研究表明，这种决策依赖于与支持简单奖励导向选择的神经回路不同（尽管有重叠）的神经回路。 虽然到目前为止的证据表明，前扣带皮层（ACC）为中心的大脑区域网络的关键作用，很少有人知道的时间动态的神经活动的基础补丁离开的决定。到目前为止进行的研究暗示的可能性，觅食的关键决策变量（DV）可能是在大脑皮层振荡活动在ACC的θ和γ范围。同样，一些研究和理论建议表明神经调节系统在相关计算中起着关键作用。 本项目将测试一些新的假设。使用MEG和并发的EEG-fMRI，它将被调查如何的关键DV补丁离开代表在皮层振荡活动在一些候选皮层区域，最重要的是在ACC. Further，神经化学活性将被测量与MR波谱或操纵与药理学的挑战。这将阐明神经化学系统如何通过控制神经活动的时间动态来管理补丁离开决策。如果干扰神经化学系统应该扰乱振荡表示和相关的行为，这些研究也将提供证据，在何种程度上这些模式是因果相关的补丁离开。