[1]尚志刚,王英会,靳富丽,等.不同难度决策任务中鸽子多脑区神经模式的差异分析[J].郑州大学学报(工学版),2027,48(XX):1-8.[doi:10. 13705 / j. issn. 1671-6833. 2027. 02. 005]
　SHANG Zhigang,WANG Yinghui,JIN Fuli,et al.Differential Analysis of Neural Patterns across Multiple Brain Regions in Pigeons duringDecision-Making Tasks of Varying Difficulty[J].Journal of Zhengzhou University (Engineering Science),2027,48(XX):1-8.[doi:10. 13705 / j. issn. 1671-6833. 2027. 02. 005]
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不同难度决策任务中鸽子多脑区神经模式的差异分析()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
48
期数:
2027年XX
页码:
1-8
栏目:
出版日期:
2027-12-10

文章信息/Info

Title:
Differential Analysis of Neural Patterns across Multiple Brain Regions in Pigeons duringDecision-Making Tasks of Varying Difficulty
作者:
尚志刚1,2, 王英会1,靳富丽3,4, 杨莉芳1,2, 张家硕1, 岳彩通1, 李蒙蒙1,2
1. 郑州大学 电气与信息工程学院,河南 郑州 450001;2. 河南省脑科学与脑机接口技术重点实验室,河南 郑州450001;3. 黄淮学院 电子信息学院,河南 驻马店 463000;4. 河南省智能人机交互设备工程研究中心,河南 驻马店463000
Author(s):
SHANG Zhigang1,2, WANG Yinghui1, JIN Fuli3,4, YANG Lifang1,2, ZHANG Jiashuo1,YUE Caitong1, LI Mengmeng1,2
1. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 2. Henan Key Laboratory ofBrain Science and Brain Computer Interface Technology, Zhengzhou 450001, China; 3. School of Electronic Information, HuanghuaiUniversity, Zhumadian 463000, China; 4. Henan Engineering Research Center of Intelligent Human-Machine Interaction Equipment,Huanghuai University, Zhumadian 463000, China
关键词:
决策难度;  NCL;  ST;  频带能量;  功能连接
Keywords:
decision difficulty;  NCL;  ST;  frequency band energy;  functional connectivity
分类号:
Q811. 3 Q424
DOI:
10. 13705 / j. issn. 1671-6833. 2027. 02. 005
文献标志码:
A
摘要:
为深入探讨鸟类价值决策过程中的行为策略调控机制,以成年鸽子为对象研究不同决策难度下弓状皮质尾外侧区( nidopallium caudolaterale, NCL)与纹状体( striatum, ST) 神经动态特征差异不明的问题。 设计了低难度(高奖赏差异)与高难度(低奖赏差异)的两类三选项决策任务,同步采集任务执行过程中鸽子 NCL 与 ST 脑区的局部场电位信号,利用功率谱密度提取并对比 Theta、Alpha、Beta 及 Gamma 频段的能量特征,并基于相位锁定值构建脑功能网络,对不同学习阶段及决策难度下的网络拓扑进行统计分析。 结果显示:低难度任务习得期内 ST 脑区Gamma 频段能量及网络聚类系数显著增强,表明其在奖励驱动决策执行中的主导作用;而高难度任务下 NCL 脑区Theta 与 Alpha 频段能量及网络整合水平显著提升,反映了其在策略维持与认知控制中的关键作用。 本研究表明:鸽子 NCL 与 ST 脑区的振荡和功能连接模式受决策难度的显著调节,揭示了鸟类在处理不同认知负荷任务时脑区间的差异化分工,为理解鸟类价值学习的神经基础提供了实验依据。
Abstract:
To investigate the behavioural strategy regulation mechanisms of birds during value-based decision-making, this study conducted research on adult pigeons to address the lack of clarity regarding the neural dynamic characteristics of the nidopallium caudolaterale (NCL) and striatum ( ST) under varying cognitive loads. Two types ofthree-choice decision-making tasks—low difficulty ( high reward variance) and high difficulty ( low reward variance)—were designed. Local field potential signals from NCL and ST were recorded synchronously during task execution. Power spectral density analysis was used to extract and compare energy characteristics in Theta, Alpha, Beta, and Gamma bands. Furthermore, functional networks were constructed based on phase locking value to comparenetwork topology across different learning stages and decision-making difficulties. The results indicated that high-difficulty conditions significantly inhibited learning speed and increased strategy volatility. During the acquisitionphase of low-difficulty tasks, Gamma-band power and the clustering coefficient in ST were significantly enhanced,reflecting its dominant role in reward-driven decision execution. Conversely, in high-difficulty tasks, Theta and Alpha oscillations in NCL were significantly potentiated, with an accompanied increase in network integration levels,reflecting its critical involvement in strategy maintenance and cognitive control. This study demonstrated that the oscillation and functional connectivity patterns in NCL and ST were significantly modulated by decision difficulty.These findings reveal the differentiated labor between brain regions when processing varying cognitive loads inbirds, providing a crucial experimental basis for understanding the neural foundations of avian value learning andcross-species cognitive functional comparisons.
更新日期/Last Update: 2026-10-30