Neural markers of optimal decision in individuals with high entrepreneurial intention

IF 2.3 3区心理学 Q2 BEHAVIORAL SCIENCES

Behavioural Brain Research Pub Date : 2025-08-12 DOI:10.1016/j.bbr.2025.115777

Zhiyu Liu , Shenghao Shi , Shuang Li , Keying Yan , Xue Wei , Zhiyuan Liu

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引用次数: 0

Abstract

Objectives

The characteristics of decision-making by so-called “entrepreneurial intenders” are closely related to the success of their future entrepreneurial activity. However, it remains unclear whether individuals with high entrepreneurial intention tend to make optimal decisions, and what the neural markers of this process are in case they do so.

Methods

In this study, we recruited 561 participants to complete the Individual Entrepreneurial Intent scale. We used their scores on the scale to select 29 participants with high entrepreneurial intention (HEI) and 29 with low entrepreneurial intention (LEI), and collected electroencephalography (EEG) data on them as they performed a decision task.

Results

The results indicated that individuals with HEI made more optimal decisions and gained more benefits on the task. Moreover, the HEI group exhibited a stronger amplitude of the P2 component and greater power of the theta band in the frontal area of the brain prior to making optimal decisions than non-optimal decisions, while the LEI group did not.

Conclusions

Our study suggests that the neural markers of optimal decisions in individuals with HEI were more likely to be expressed in terms of the amplitude of the P2 component in frontal area.

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高创业意向个体最优决策的神经标记

所谓“创业意图者”的决策特征与其未来创业活动的成功密切相关。然而，目前尚不清楚具有高创业意向的个体是否倾向于做出最优决策，以及如果他们这样做了，这一过程的神经标记是什么。方法在本研究中，我们招募了561名被试完成个人创业意向量表。我们选取了29名高创业意向（HEI）和29名低创业意向（LEI）的参与者，利用他们在量表上的得分，收集了他们在执行决策任务时的脑电图（EEG）数据。结果高智商个体在任务中做出了更多的最优决策，并获得了更多的利益。此外，与非最优决策相比，HEI组在做出最优决策之前表现出更强的P2分量振幅和更大的theta频带功率，而LEI组则没有。结论高智商个体最优决策的神经标记更可能以额区P2分量的振幅表达。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Behavioural Brain Research 医学-行为科学

CiteScore

5.60

自引率

0.00%

发文量

383

审稿时长

61 days

期刊介绍： Behavioural Brain Research is an international, interdisciplinary journal dedicated to the publication of articles in the field of behavioural neuroscience, broadly defined. Contributions from the entire range of disciplines that comprise the neurosciences, behavioural sciences or cognitive sciences are appropriate, as long as the goal is to delineate the neural mechanisms underlying behaviour. Thus, studies may range from neurophysiological, neuroanatomical, neurochemical or neuropharmacological analysis of brain-behaviour relations, including the use of molecular genetic or behavioural genetic approaches, to studies that involve the use of brain imaging techniques, to neuroethological studies. Reports of original research, of major methodological advances, or of novel conceptual approaches are all encouraged. The journal will also consider critical reviews on selected topics.