亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Midfrontal conflict-related theta-band power reflects neural oscillations that predict behavior

作者
Michael X Cohen,Tobias H. Donner
出处
期刊:Journal of Neurophysiology [American Physiological Society]
卷期号:110 (12): 2752-2763 被引量:540
标识
DOI:10.1152/jn.00479.2013
摘要

Action monitoring and conflict resolution require the rapid and flexible coordination of activity in multiple brain regions. Oscillatory neural population activity may be a key physiological mechanism underlying such rapid and flexible network coordination. EEG power modulations of theta-band (4-8 Hz) activity over the human midfrontal cortex during response conflict have been proposed to reflect neural oscillations that support conflict detection and resolution processes. However, it has remained unclear whether this frequency-band-specific activity reflects neural oscillations or nonoscillatory responses (i.e., event-related potentials). Here, we show that removing the phase-locked component of the EEG did not reduce the strength of the conflict-related modulation of the residual (i.e., non-phase-locked) theta power over midfrontal cortex. Furthermore, within-subject regression analyses revealed that the non-phase-locked theta power was a significantly better predictor of the conflict condition than was the time-domain phase-locked EEG component. Finally, non-phase-locked theta power showed robust and condition-specific (high- vs. low-conflict) cross-trial correlations with reaction time, whereas the phase-locked component did not. Taken together, our results indicate that most of the conflict-related and behaviorally relevant midfrontal EEG signal reflects a modulation of ongoing theta-band oscillations that occurs during the decision process but is not phase-locked to the stimulus or to the response.

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
1秒前
2秒前
低贱牛马完成签到 ,获得积分10
4秒前
sadascaqwqw发布了新的文献求助10
10秒前
乐乐的应助被科研通管家采纳,获得10
13秒前
Akim的应助被科研通管家采纳,获得10
13秒前
14秒前
18秒前
21秒前
星辰大海的应助被chen采纳,获得10
23秒前
太阳雨发布了新的文献求助10
24秒前
研友_Z6Qrbn完成签到,获得积分10
24秒前
积极一德完成签到,获得积分10
25秒前
DMSO完成签到 ,获得积分10
26秒前
26秒前
ding的应助被一块地采纳,获得10
26秒前
遂芫人生完成签到,获得积分10
31秒前
Hello的应助被太阳雨采纳,获得10
32秒前
41秒前
42秒前
42秒前
孤央完成签到 ,获得积分10
44秒前
44秒前
45秒前
45秒前
45秒前
45秒前
45秒前
45秒前
45秒前
46秒前
46秒前
46秒前
yyy发布了新的文献求助10
47秒前
yyy发布了新的文献求助10
47秒前
47秒前
111完成签到 ,获得积分10
48秒前
yyy发布了新的文献求助10
48秒前
科研通AI6.4的应助被喜悦荧采纳,获得10
48秒前
48秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
The Student's Guide to Social Neuroscience 800
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Production Logging: Theoretical and Interpretive Elements 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7812675
求助须知:如何正确求助?哪些是违规求助? 9343678
关于积分的说明 20519206
捐赠科研通 7405357
什么是DOI,文献DOI怎么找? 3330214
关于科研通互助平台的介绍 2476782
邀请新用户注册赠送积分活动 2349724