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High-Frequency Oscillations in Distributed Neural Networks Reveal the Dynamics of Human Decision Making

机译:分布式神经网络中的高频振荡揭示了人类决策的动态

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摘要

We examine the relative timing of numerous brain regions involved in human decisions that are based on external criteria, learned information, personal preferences, or unconstrained internal considerations. Using magnetoencephalography (MEG) and advanced signal analysis techniques, we were able to non-invasively reconstruct oscillations of distributed neural networks in the high-gamma frequency band (60–150 Hz). The time course of the observed neural activity suggested that two-alternative forced choice tasks are processed in four overlapping stages: processing of sensory input, option evaluation, intention formation, and action execution. Visual areas are activated first, and show recurring activations throughout the entire decision process. The temporo-occipital junction and the intraparietal sulcus are active during evaluation of external values of the options, 250–500 ms after stimulus presentation. Simultaneously, personal preference is mediated by cortical midline structures. Subsequently, the posterior parietal and superior occipital cortices appear to encode intention, with different subregions being responsible for different types of choice. The cerebellum and inferior parietal cortex are recruited for internal generation of decisions and actions, when all options have the same value. Action execution was accompanied by activation peaks in the contralateral motor cortex. These results suggest that high-gamma oscillations as recorded by MEG allow a reliable reconstruction of decision processes with excellent spatiotemporal resolution.
机译:我们根据外部标准,学习到的信息,个人喜好或不受约束的内部考虑因素,检查参与人类决策的多个大脑区域的相对时机。使用脑磁图(MEG)和先进的信号分析技术,我们能够无创地重建高伽马频段(60–150 Hz)中分布式神经网络的振荡。观察到的神经活动的时间过程表明,两个替代的强制选择任务在四个重叠的阶段中进行处理:感觉输入的处理,选项评估,意图形成和动作执行。视觉区域首先被激活,并在整个决策过程中显示反复出现的激活。在刺激的选择后250-500μms内,在评估选项的外部价值时,颞枕交界处和顶壁沟活跃。同时,个人偏好是由皮质中线结构介导的。随后,顶叶后皮质和枕后皮质似乎编码意图,不同的子区域负责不同的选择类型。当所有选择具有相同的价值时,会招募小脑和顶下皮质,以内部产生决策和行动。动作执行伴随着对侧运动皮层的激活峰值。这些结果表明,MEG记录的高伽马振荡允许以出色的时空分辨率可靠地重建决策过程。

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