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全身偏航旋转决策的神经关联:一项功能性近红外光谱研究。

Neural correlates of decision making on whole body yaw rotation: An fNIRS study.

作者信息

de Winkel K N, Nesti A, Ayaz H, Bülthoff H H

机构信息

Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, 72076 Tübingen, Germany.

Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, 72076 Tübingen, Germany.

出版信息

Neurosci Lett. 2017 Jul 27;654:56-62. doi: 10.1016/j.neulet.2017.04.053. Epub 2017 Jun 13.

Abstract

Prominent accounts of decision making state that decisions are made on the basis of an accumulation of sensory evidence, orchestrated by networks of prefrontal and parietal neural populations. Here we assess whether these findings generalize to decisions on self-motion. Participants were presented with whole body yaw rotations of different durations in a 2-Interval-Forced-Choice paradigm, and tasked to discriminate motions on the basis of their amplitude. The cortical hemodynamic response was recorded using functional near-infrared spectroscopy (fNIRS) while participants were performing the task. The imaging data was used to predict the specific response on individual experimental trials, and to predict whether the comparison stimulus would be judged larger than the reference. Classifier performance on the former variable was negligible. However, considerable performance was achieved for the latter variable, specifically using parietal imaging data. The findings provide support for the notion that activity in the parietal cortex reflects modality independent decision variables that represent the strength of the neural evidence in favor of a decision. The results are encouraging for the use of fNIRS as a method to perform neuroimaging in moving individuals.

摘要

关于决策的主流观点认为,决策是基于感觉证据的积累做出的,由前额叶和顶叶神经群体网络精心安排。在这里,我们评估这些发现是否适用于自我运动的决策。在二间隔强制选择范式中,向参与者呈现不同持续时间的全身偏航旋转,并要求他们根据旋转幅度来区分运动。在参与者执行任务时,使用功能近红外光谱(fNIRS)记录皮层血流动力学反应。成像数据用于预测个体实验试验的具体反应,并预测比较刺激是否会被判断为大于参考刺激。在前一个变量上的分类器性能可忽略不计。然而,对于后一个变量,特别是使用顶叶成像数据,取得了相当的性能。这些发现支持了这样一种观点,即顶叶皮层的活动反映了模态独立的决策变量,这些变量代表了支持决策的神经证据的强度。这些结果对于将fNIRS用作在运动个体中进行神经成像的方法来说是令人鼓舞的。

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