Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking
Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking
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DOI：
10.1016/j.neuroimage.2007.10.036
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发表时间：
2008-02-15
期刊：
影响因子：
5.7
通讯作者：
Makeig, Scott
中科院分区：
文献类型：
--
作者：
Huang, Ruey-Song;Jung, Tzyy-Ping;Makeig, Scott
使用独立成分分析（ICA）识别的脑电图源的时频分析来分析连续补偿跟踪任务（CTT）期间脑电图（EEG）活动的紧张性和相位动态。在一小时的课程中，记录了 70 通道脑电图数据，同时参与者尝试使用频繁的补偿性轨迹球运动来保持漂移盘靠近屏幕中心的靶心。光盘轨迹被转换为两个移动平均性能测量，即 4 秒（“局部”）和 20 秒（“全局”）移动时间窗口中光盘距屏幕中心的均方根距离。使用 EEGLAB 工具箱 (http://sccn.ucsd.edu/eeglab) 获得了最大独立 EEG 过程及其等效偶极源位置。在受试者和会话中，枕叶、躯体运动和辅助运动皮层的独立脑电图过程在高跟踪误差期间表现出强直功率增加，并且在椎间盘“近地点”（椎间盘开始偏离靶心的时刻）之后的轨迹球运动之前和之后的几个频带中出现额外的相位功率增加。这些阶段性活动的增加在高错误期间更大，揭示了脑电图动态与对威胁事件做出反应的自上而下的识别之间的密切关系。因此，在没有脉冲刺激开始的连续跟踪任务期间，与视觉运动任务相关的亚秒级脑电图动态可能与与表现和唤醒变化相关的较慢频谱调制分离。我们暂时将观察到的脑电图信号增加解释为在持续表现期间维持视觉运动表现所需的任务注意力和参与水平的索引强直和阶段性调制。 (c) 2007 Elsevier Inc. 保留所有权利。
Tonic and phasic dynamics of electroencephalographic (EEG) activities during a continuous compensatory tracking task (CTT) were analyzed using time-frequency analysis of EEG sources identified by independent component analysis (ICA). In I-hour sessions, 70-channel EEG data were recorded while participants attempted to use frequent compensatory trackball movements to maintain a drifting disc close to a bulls-eye at screen center. Disc trajectories were converted into two moving-average performance measures, root mean square distance of the disc from screen center in 4-s ('local') and in 20-s ('global') moving time windows. Maximally independent EEG processes and their equivalent dipole source locations were obtained using the EEGLAB toolbox (http://sccn.ucsd.edu/eeglab). Across subjects and sessions, independent EEG processes in occipital, somatomotor, and supplementary motor cortices exhibited tonic power increases during periods of high tracking error, plus additional phasic power increases in several frequency bands before and after trackball movements following disc 'perigees' (moments at which the disc began to drift away from the bulls-eye). These phasic activity increases, which were larger during high-error periods, reveal an intimate relation between EEG dynamics and top-down recognition of responding to threatening events. Thus during a continuous tracking task without impulsive stimulus onsets, sub-second scale EEG dynamics related to visuomotor task could be dissociated from slower spectral modulations linked to changes in performance and arousal. We tentatively interpret the observed EEG signal increases as indexing tonic and phasic modulations of the levels of task attention and engagement required to maintain visuomotor performance during sustained performance. (c) 2007 Elsevier Inc. All rights reserved.