Li Hongwei, Li Haifeng, Ma Lin, Polina Diokova
Faculty of Computing, Harbin Institute of Technology, Harbin, China.
Front Hum Neurosci. 2024 Mar 27;18:1377233. doi: 10.3389/fnhum.2024.1377233. eCollection 2024.
To investigate the brain's cognitive process and perceptual holistic, we have developed a novel method that focuses on the informational attributes of stimuli.
We recorded EEG signals during visual and auditory perceptual cognition experiments and conducted ERP analyses to observe specific positive and negative components occurring after 400ms during both visual and auditory perceptual processes. These ERP components represent the brain's perceptual holistic processing activities, which we have named Information-Related Potentials (IRPs). We combined IRPs with machine learning methods to decode cognitive processes in the brain.
Our experimental results indicate that IRPs can better characterize information processing, particularly perceptual holism. Additionally, we conducted a brain network analysis and found that visual and auditory perceptual holistic processing share consistent neural pathways.
Our efforts not only demonstrate the specificity, significance, and reliability of IRPs but also reveal their great potential for future brain mechanism research and BCI applications.
为了研究大脑的认知过程和感知整体性，我们开发了一种专注于刺激信息属性的新方法。
我们在视觉和听觉感知认知实验中记录脑电图（EEG）信号，并进行事件相关电位（ERP）分析，以观察在视觉和听觉感知过程中400毫秒后出现的特定正负成分。这些ERP成分代表大脑的感知整体处理活动，我们将其命名为信息相关电位（IRP）。我们将IRP与机器学习方法相结合，以解码大脑中的认知过程。
我们的实验结果表明，IRP能够更好地表征信息处理，尤其是感知整体性。此外，我们进行了脑网络分析，发现视觉和听觉感知整体处理共享一致的神经通路。
我们的工作不仅证明了IRP的特异性、重要性和可靠性，还揭示了它们在未来脑机制研究和脑机接口应用中的巨大潜力。
