Department of Psychiatry and Psychotherapy, University of Marburg, Germany.
Hum Brain Mapp. 2013 Nov;34(11):3010-22. doi: 10.1002/hbm.22121. Epub 2012 Jun 13.
The conceptual notion of the so-called resting state of the brain has been recently challenged by studies indicating a continuing effect of cognitive processes on subsequent rest. In particular, activity in posterior parietal and medial prefrontal areas has been found to be modulated by preceding experimental conditions. In this study, we investigated which brain areas show working memory dependent patterns in subsequent baseline periods and how specific they are for the preceding experimental condition. During functional magnetic resonance imaging, 94 subjects performed a letter-version of the n-back task with the conditions 0-back and 2-back followed by a low-level baseline in which subjects had to passively observe the letters appearing. In a univariate analysis, 2-back served as control condition while 0-back, baseline after 0-back and baseline after 2-back were modeled as regressors to test for activity changes between both baseline conditions. Additionally, we tested, using Gaussian process classifiers, the recognition of task condition from functional images acquired during baseline. Besides the expected activity changes in the precuneus and medial prefrontal cortex, we found differential activity in the thalamus, putamen, and postcentral gyrus that were affected by the preceding task. The multivariate analysis revealed that images of the subsequent baseline block contain task related patterns that yield a recognition rate of 70%. The results suggest that the influence of a cognitive task on subsequent baseline is strong and specific for some areas but not restricted to areas of the so-called default mode network.
大脑所谓的静息状态的概念最近受到了挑战,有研究表明认知过程对随后的休息仍有持续影响。特别是,后顶叶和内侧前额叶区域的活动被发现受到先前实验条件的调节。在这项研究中,我们调查了哪些大脑区域在后一个基线期显示出与工作记忆相关的模式,以及它们对先前的实验条件的特异性如何。在功能磁共振成像期间,94 名受试者进行了字母版本的 n-back 任务,条件为 0-back 和 2-back,然后是低水平的基线期,受试者必须被动观察出现的字母。在单变量分析中,2-back 作为对照条件,而 0-back、0-back 后的基线和 2-back 后的基线则作为回归变量建模,以测试两种基线条件之间的活动变化。此外,我们使用高斯过程分类器测试了从基线期间获取的功能图像中任务条件的识别。除了在楔前叶和内侧前额叶皮层中预期的活动变化外,我们还发现丘脑、壳核和中央后回的活动存在差异,这些差异受到先前任务的影响。多变量分析显示,随后的基线块的图像包含与任务相关的模式,可产生 70%的识别率。结果表明,认知任务对随后的基线的影响是强烈的,并且对某些区域具有特异性,但不限于所谓的默认模式网络的区域。