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超越 FRN:拓宽与奖励加工相关的 EEG 和 ERP 成分的时程。

Beyond the FRN: Broadening the time-course of EEG and ERP components implicated in reward processing.

机构信息

Northwestern University, United States.

Northwestern University, United States.

出版信息

Int J Psychophysiol. 2018 Oct;132(Pt B):184-202. doi: 10.1016/j.ijpsycho.2018.02.002. Epub 2018 Feb 15.

Abstract

Most reward-related electroencephalogram (EEG) studies focus exclusively on the feedback-related negativity (FRN, also known as feedback negativity or FN, medial-frontal negativity or MFN, feedback error-related negativity or fERN, and reward positivity or RewP). This component is usually measured approximately 200-300 ms post-feedback at a single electrode in the frontal-central area (e.g., Fz or FCz). The present review argues that this singular focus on the FRN fails to leverage EEG's greatest strength, its temporal resolution, by underutilizing the rich variety of event-related potential (ERP) and EEG time-frequency components encompassing the wider temporal heterogeneity of reward processing. The primary objective of this review is to provide a comprehensive understanding of often overlooked ERP and EEG correlates beyond the FRN in the context of reward processing with the secondary goal of guiding future research toward multistage experimental designs and multicomponent analyses that leverage the temporal power of EEG. We comprehensively review reward-related ERPs (including the FRN, readiness potential or RP, stimulus-preceding negativity or SPN, contingent-negative variation or CNV, cue-related N2 and P3, Feedback-P3, and late-positive potential or LPP/slow-wave), and reward-related EEG time-frequency components (changes in power at alpha, beta, theta, and delta bands). These electrophysiological signatures display distinct time-courses, scalp topographies, and reflect independent psychological processes during anticipatory and/or outcome stages of reward processing. Special consideration is given to the time-course of each component and factors that significantly contribute to component variation. Concluding remarks identify current limitations along with recommendations for potential important future directions.

摘要

大多数与奖励相关的脑电图 (EEG) 研究都仅专注于反馈相关负波 (FRN,也称为反馈负波或 FN、正中额负波或 MFN、反馈错误相关负波或 fERN 和奖励正波或 RewP)。该成分通常在反馈后约 200-300ms 在额-中央区域的单个电极 (例如 Fz 或 FCz) 进行测量。本综述认为,这种对 FRN 的单一关注未能利用 EEG 的最大优势——其时间分辨率,因为它没有充分利用包括奖励处理更广泛时间异质性的丰富的事件相关电位 (ERP) 和 EEG 时频成分。本综述的主要目的是在奖励处理的背景下全面了解 FRN 之外经常被忽视的 ERP 和 EEG 相关物,次要目标是指导未来的研究采用多阶段实验设计和多成分分析,利用 EEG 的时间功率。我们全面回顾了与奖励相关的 ERP(包括 FRN、准备电位或 RP、刺激前负波或 SPN、条件负变或 CNV、线索相关的 N2 和 P3、反馈 P3 和正后电位或 LPP/慢波)和与奖励相关的 EEG 时频成分(α、β、θ 和 δ 波段的功率变化)。这些电生理特征显示出不同的时间过程、头皮拓扑结构,并反映了在奖励处理的预期和/或结果阶段的独立心理过程。特别考虑了每个成分的时间过程以及对成分变化有重大贡献的因素。结论部分确定了当前的局限性,并提出了潜在的重要未来方向的建议。

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