脑电图
接头(建筑物)
人工智能
计算机科学
模式识别(心理学)
心理学
认知心理学
神经科学
工程类
建筑工程
作者
Xiaopeng Si,He Huang,Jiayue Yu,Dong Ming
出处
期刊:IEEE Transactions on Affective Computing
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:: 1-12
标识
DOI:10.1109/taffc.2024.3399729
摘要
Emotions deeply influence human behavior and decision-making. Currently, the spatiotemporal joint neural processing pattern of human emotions remains largely unclear. This study employed EEG-fNIRS simultaneous recordings to capture the spatiotemporal neural processing characteristics of human emotions by presenting Chinese emotional video stimuli. (1) EEG microstates' temporal dynamic: Compared to low emotional arousal, microstate C and D's activities and C⇌D's transition probability significantly increased. (2) fNIRS spatial patterns: Compared to low arousal, the dorsolateral prefrontal cortex (DLPFC), inferior frontal gyrus (IFG), and temporoparietal junction (TPJ)'s oxygenated hemoglobin (HbO) concentrations significantly increased, along with the significant increase of DLPFC-IFG&TPJ's functional connectivity during high arousal. Compared to high valence, the DLPFC was significantly activated during low valence. (3) EEG-fNIRS spatiotemporal joint features: Compared to low arousal, there was a significant positive correlation between the occurrence of microstate D (corresponded to dorsal attention network, DAN) and HbO concentrations of DLPFC (DAN's key node) during high arousal, which consistently revealed the DAN's involvement for human emotional arousal processing. These results could provide not only multimodal complementary features for promoting the development of affective braincomputer interface, but also potential objective spatiotemporal neural markers for emotional disorders.
科研通智能强力驱动
Strongly Powered by AbleSci AI