Mushtaq Faisal, Wilkie Richard M, Mon-Williams Mark A, Schaefer Alexandre
School of Psychology, University of Leeds, Leeds, West Yorkshire, UK.
School of Psychology, University of Leeds, Leeds, West Yorkshire, UK.
Neuroimage. 2016 Jan 15;125:868-879. doi: 10.1016/j.neuroimage.2015.10.046. Epub 2015 Oct 20.
Substantial evidence indicates that decision outcomes are typically evaluated relative to expectations learned from relatively long sequences of previous outcomes. This mechanism is thought to play a key role in general learning and adaptation processes but relatively little is known about the determinants of outcome evaluation when the capacity to learn from series of prior events is difficult or impossible. To investigate this issue, we examined how the feedback-related negativity (FRN) is modulated by information briefly presented before outcome evaluation. The FRN is a brain potential time-locked to the delivery of decision feedback and it is widely thought to be sensitive to prior expectations. We conducted a multi-trial gambling task in which outcomes at each trial were fully randomised to minimise the capacity to learn from long sequences of prior outcomes. Event-related potentials for outcomes (Win/Loss) in the current trial (Outcomet) were separated according to the type of outcomes that occurred in the preceding two trials (Outcomet-1 and Outcomet-2). We found that FRN voltage was more positive during the processing of win feedback when it was preceded by wins at Outcomet-1 compared to win feedback preceded by losses at Outcomet-1. However, no influence of preceding outcomes was found on FRN activity relative to the processing of loss feedback. We also found no effects of Outcomet-2 on FRN amplitude relative to current feedback. Additional analyses indicated that this effect was largest for trials in which participants selected a decision different to the gamble chosen in the previous trial. These findings are inconsistent with models that solely relate the FRN to prediction error computation. Instead, our results suggest that if stable predictions about future events are weak or non-existent, then outcome processing can be determined by affective systems. More specifically, our results indicate that the FRN is likely to reflect the activity of positive affective systems in these contexts. Importantly, our findings indicate that a multifactorial explanation of the nature of the FRN is necessary and such an account must incorporate affective and motivational factors in outcome processing.
大量证据表明,决策结果通常是相对于从较长的先前结果序列中学到的期望进行评估的。这种机制被认为在一般学习和适应过程中起着关键作用,但当从一系列先前事件中学习的能力困难或不可能时,关于结果评估的决定因素却知之甚少。为了研究这个问题,我们研究了在结果评估之前短暂呈现的信息如何调节反馈相关负波(FRN)。FRN是一种与决策反馈传递时间锁定的脑电信号,人们普遍认为它对先前的期望很敏感。我们进行了一项多轮赌博任务,其中每次试验的结果完全随机化,以尽量减少从长序列先前结果中学习的能力。当前试验(Outcomet)中结果(赢/输)的事件相关电位根据前两次试验(Outcomet-1和Outcomet-2)中出现的结果类型进行分离。我们发现,与Outcomet-1出现损失后出现赢反馈相比,当Outcomet-1出现赢后出现赢反馈时,FRN电压在处理赢反馈期间更正。然而,相对于输反馈的处理,未发现先前结果对FRN活动有影响。我们还发现Outcomet-2对相对于当前反馈的FRN振幅没有影响。进一步的分析表明,对于参与者选择与前一次试验中选择的赌博不同的决策的试验,这种效应最大。这些发现与仅将FRN与预测误差计算相关联的模型不一致。相反,我们的结果表明,如果对未来事件的稳定预测薄弱或不存在,那么结果处理可以由情感系统决定。更具体地说,我们的结果表明,在这些情况下,FRN可能反映积极情感系统的活动。重要的是,我们的发现表明,对FRN的性质进行多因素解释是必要的,这样的解释必须在结果处理中纳入情感和动机因素。