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大脑与运动:应用脑电图的初步探索

Brain and exercise: a first approach using electrotomography.

机构信息

Department of Exercise Neuroscience, Institute of Movement and Neurosciences, German Sport University Cologne, Köln, Germany.

出版信息

Med Sci Sports Exerc. 2010 Mar;42(3):600-7. doi: 10.1249/MSS.0b013e3181b76ac8.

Abstract

PURPOSE

The impact of exercise on brain function has gained broad interest. Because hemodynamic and imaging studies are difficult to perform during and after exercise, electroencephalography (EEG) is often the method of choice. Within this study, we aimed 1) to extend prior work examining changes in scalp-recorded brain electrical activity associated with exercise and 2) to use a distributed source localization algorithm (standardized low-resolution brain electromagnetic tomography [sLORETA]) to model the probable neural sources of changes in EEG activity after exercise.

METHODS

Electrocortical activity of 22 recreational runners (21-45 yr) was recorded before and after exhaustive treadmill ergometry. Data were analyzed using sLORETA.

RESULTS

There was an increase in alpha-1 activity (7.5-10 Hz) immediately after exercise, which was localized to the left frontal gyrus (Brodmann area 8). This finding is consistent with alterations in emotional processing. Fifteen minutes after exercise, a decrease in alpha-2 (10-12.5 Hz), beta-1 (12.5-18 Hz), and gamma activities (35-48 Hz) was observed in Brodmann areas 18 and 20-22, which are well known to be involved in language processing.

CONCLUSION

This study demonstrates that sLORETA is a robust method that allows brain activity maps to be generated from standardized EEG recordings following exercise.

摘要

目的

运动对大脑功能的影响引起了广泛关注。由于在运动中和运动后进行血液动力学和影像学研究较为困难,因此脑电图(EEG)通常是首选的方法。在本研究中,我们旨在:1)扩展先前研究,以检查与运动相关的头皮记录脑电活动的变化;2)使用分布式源定位算法(标准化低分辨率脑电磁层析成像[sLORETA])来模拟运动后 EEG 活动变化的可能神经源。

方法

在 22 名休闲跑步者(21-45 岁)进行完耗尽跑步机功量的运动前后,记录其皮质电活动。使用 sLORETA 分析数据。

结果

运动后立即出现α1 活动(7.5-10 Hz)增加,定位于左额回(Brodmann 区域 8)。这一发现与情绪处理的改变一致。运动后 15 分钟,在 Brodmann 区域 18 和 20-22 中观察到α2(10-12.5 Hz)、β1(12.5-18 Hz)和γ活动(35-48 Hz)的减少,这些区域已知与语言处理有关。

结论

本研究表明,sLORETA 是一种强大的方法,可从运动后标准化 EEG 记录中生成脑活动图谱。

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