心理计算对大脑区域和心率的影响
Morteza Jafari Malali1, Yashar Sarbaz2, Sepideh Zolfaghari1
1Biological System Modeling Laboratory, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.
数学任务改变大脑活动和心率,通过电脑图 (EEG) 和心电图 (ECG) 信号检测到. 机器学习准确地区分了计算过程中的认知负载和休息状态.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 生物医学工程 生物医学工程
背景情况:
- 认知活动,如数学计算,显然会影响生理信号.
- 了解这些神经生理变化对于认知监测和评估至关重要.
研究的目的:
- 研究算术任务对健康个体的脑电图 (EEG) 和心电图 (ECG) 信号的影响.
- 识别与数学认知负载相关的大脑区域和信号特征.
- 评估机器学习分类器在区分认知状态中的有效性.
主要方法:
- 在算术任务和休息期间,从36名健康人身上记录了EEG和ECG信号.
- 从EEG功率和相谱中提取了能量和的 (EoE).
- 支持矢量机 (SVM) 和多层感知 (MLP) 分类器用于信号分类.
主要成果:
- 在熟练的计算器中,MLP分类器在区分数学和休息状态方面取得了98.4%的高准确性.
- 在特定的大脑区域 (F4,C4,T4,T5,P3,O2) 对良好的计数器和 (O1,O2) 对差的计数器观察到EEG信号的显著变化.
- 电脑心电图分析显示,与静止状态相比,在数学计算过程中心率增加.
结论:
- 数学计算诱导了EEG和ECG信号的明显变化,反映了认知和情绪过程.
- 机器学习模型可以根据神经生理学数据有效地区分认知状态.
- 特定的大脑区域在数学任务中表现出不同的参与,随着计算能力的不同而有所不同.
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