揭示奖赏积极性的起源:人类颅内事件相关脑电位研究。

IF 10.6 1区 医学 Q1 CLINICAL NEUROLOGY Brain Pub Date : 2025-01-07 DOI:10.1093/brain/awae259
Joyce Oerlemans, Ricardo J Alejandro, Dirk Van Roost, Paul Boon, Veerle De Herdt, Alfred Meurs, Clay B Holroyd
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引用次数: 0

摘要

奖赏阳性(RewP)是一种与事件相关的脑电位(ERP)成分,在接收到与奖赏相关的反馈刺激后大约 250 至 350 毫秒(ms)出现,被认为对强化学习和奖赏处理非常重要。尽管大量定位研究表明,前扣带回皮层(ACC)是这一成分的神经发生器,但其他研究发现了 ACC 以外的来源,从而加剧了对其起源的争论。由于 EEG 和 MEG 信号源定位研究的结果受到逆问题的严重限制,我们利用颅内 EEG 的高空间和时间分辨率来解决这个问题。我们预测,我们将在尾部 ACC 发现 RewP 的神经发生器。我们记录了在比利时根特大学医院接受有创视频脑电图监测的 19 名难治性癫痫患者的颅内脑电图。参与者参与了虚拟 T 型迷宫任务(vTMT),这是一项已知能诱发典型 RewP 的试错任务,同时头皮和颅内脑电图也被记录下来。头皮和颅内脑电图均采用差分波方法识别 RewP。我们对所有参与者的数据进行了汇总,以创建一个虚拟的 "元参与者",其中包含与颅内接触位置相关的所有颅内 ERPs(iERPs)记录。我们采用假设驱动法(侧重于 ACC)和探索法(全脑分析)将大脑划分为感兴趣区(ROI)。对于每个 ROI,我们评估了绝对电流密度 (ACD) 活动的时间进程与 RewP 时间进程的反映程度,并使用排列分析确认了结果的统计学意义。头皮数据的总平均波形显示,奖赏反馈后 309 毫秒时出现了 RewP,且分布在头皮的前中央,这与将该成分确定为 RewP 是一致的。元参与者共包含 582 个颅内触点记录的 iERP。聚集的 iERPs 的 ACD 活动在左侧尾部 ACC、左侧背外侧前额叶皮层、左侧前内侧皮层和左侧白质中与 RewP 最为相似,而尾部 ACC 的得分最高,正如预测的那样。据我们所知,这是第一项利用多名人类癫痫患者的颅内脑电图聚集和电流源密度分析来确定RewP的神经发生器的研究。这些结果提供了直接证据,证明ACC是RewP的神经发生器。
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Unravelling the origin of reward positivity: a human intracranial event-related brain potential study.

Reward positivity (RewP) is an event-related brain potential component that emerges ∼250-350 ms after receiving reward-related feedback stimuli and is believed to be important for reinforcement learning and reward processing. Although numerous localization studies have indicated that the anterior cingulate cortex (ACC) is the neural generator of this component, other studies have identified sources outside of the ACC, fuelling a debate about its origin. Because the results of EEG and magnetoencephalography source-localization studies are severely limited by the inverse problem, we addressed this question by leveraging the high spatial and temporal resolution of intracranial EEG. We predicted that we would identify a neural generator of rthe RewP in the caudal ACC. We recorded intracranial EEG in 19 patients with refractory epilepsy who underwent invasive video-EEG monitoring at Ghent University Hospital, Belgium. Participants engaged in the virtual T-maze task, a trial-and-error task known to elicit a canonical RewP, while scalp and intracranial EEG were recorded simultaneously. The RewP was identified using a difference wave approach for both scalp and intracranial EEG. The data were aggregated across participants to create a virtual 'meta-participant' that contained all the recorded intracranial event-related brain potentials with respect to their intracranial contact locations. We used both hypothesis-driven (focused on ACC) and exploratory (whole-brain analysis) approaches to segment the brain into regions of interest. For each region of interest, we evaluated the degree to which the time course of the absolute current density (ACD) activity mirrored the time course of the RewP, and we confirmed the statistical significance of the results using permutation analysis. The grand average waveform of the scalp data revealed a RewP at 309 ms after reward feedback with a frontocentral scalp distribution, consistent with the identification of this component as the RewP. The meta-participant contained intracranial event-related brain potentials recorded from 582 intracranial contacts in total. The ACD activity of the aggregated intracranial event-related brain potentials was most similar to the RewP in the left caudal ACC, left dorsolateral prefrontal cortex, left frontomedial cortex and left white matter, with the highest score attributed to caudal ACC, as predicted. To our knowledge, this is the first study to use intracranial EEG aggregated across multiple human epilepsy patients and current source density analysis to identify the neural generator(s) of the RewP. These results provide direct evidence that the ACC is a neural generator of the RewP.

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来源期刊
Brain
Brain 医学-临床神经学
CiteScore
20.30
自引率
4.10%
发文量
458
审稿时长
3-6 weeks
期刊介绍: Brain, a journal focused on clinical neurology and translational neuroscience, has been publishing landmark papers since 1878. The journal aims to expand its scope by including studies that shed light on disease mechanisms and conducting innovative clinical trials for brain disorders. With a wide range of topics covered, the Editorial Board represents the international readership and diverse coverage of the journal. Accepted articles are promptly posted online, typically within a few weeks of acceptance. As of 2022, Brain holds an impressive impact factor of 14.5, according to the Journal Citation Reports.
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