The neural mechanism of non-phase-locked EEG activity in task switching

脑电图 神经科学 任务切换 工作记忆 心理学 认知 后顶叶皮质 机制(生物学) 任务(项目管理) 计算机科学 物理 工程类 量子力学 系统工程
作者
Jing Zhang,Chengdong Zhu,Jiahui Han
出处
期刊:Neuroscience Letters [Elsevier BV]
卷期号:792: 136957-136957 被引量:10
标识
DOI:10.1016/j.neulet.2022.136957
摘要

Flexible switching between different tasks is an important cognitive ability for humans and it is often studied using the task-switching paradigm. Although the neural mechanisms of task switching have been extensively explored in previous studies using event-related potentials techniques, the activity and process mechanisms of non-phase-locked electroencephalography (EEG) have rarely been revealed. For this reason, this paper discusses the processing of non-phase-locked EEG oscillations in task switching based on frequency-band delineation. First, the roles of each frequency band in local brain regions were summarized. In particular, during the proactive control process (the cue-stimulus interval), delta, theta, and alpha oscillations played more roles in the switch condition while beta played more roles in repeat task. In the reactive control process (post-target), delta, alpha, and beta are all related to sensorimotor function. Then, utilizing the functional connectivity (FC) method, delta connections in the frontotemporal regions and theta connections located in the parietal-to-occipital sites are involved in the preparatory period before task switching, while alpha connections located in the sensorimotor areas and beta connections located in the frontal-parietal cortex are involved in response inhibition. Finally, cross-frequency coupling (CFC) play an important role in working memory among different band oscillation. The present study shows that in addition to the processing mechanisms specific to each frequency band, there are some shared and interactive neural mechanism in task switching by using different analysis techniques.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
大碗发布了新的文献求助10
1秒前
专注篮球发布了新的文献求助10
1秒前
龚仕杰完成签到 ,获得积分10
2秒前
丘比特应助cjw采纳,获得10
2秒前
愚林2024发布了新的文献求助10
2秒前
3秒前
隐形曼青应助一二采纳,获得10
3秒前
同化斗士发布了新的文献求助10
4秒前
5秒前
6秒前
大气采珊发布了新的文献求助10
6秒前
9秒前
10秒前
爱吃蜂蜜发布了新的文献求助10
10秒前
10秒前
10秒前
天天快乐应助HUO采纳,获得10
10秒前
赘婿应助昏睡的金毛采纳,获得10
12秒前
dde应助寻玉采纳,获得10
12秒前
13秒前
14秒前
YIN发布了新的文献求助20
14秒前
14秒前
小分队发布了新的文献求助10
15秒前
15秒前
黑熊安巴尼完成签到,获得积分20
16秒前
16秒前
科研通AI6.4应助a海w采纳,获得10
16秒前
zhang完成签到,获得积分10
16秒前
在水一方应助科研熊采纳,获得10
17秒前
17秒前
19秒前
小分队完成签到,获得积分10
19秒前
cjw发布了新的文献求助10
20秒前
21秒前
三岁半完成签到 ,获得积分10
21秒前
柇素完成签到,获得积分10
22秒前
22秒前
23秒前
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7632328
求助须知:如何正确求助?哪些是违规求助? 9206736
关于积分的说明 19745547
捐赠科研通 7201701
什么是DOI,文献DOI怎么找? 3274787
关于科研通互助平台的介绍 2436711
邀请新用户注册赠送积分活动 2271458