论文标题
工作记忆中信息处理的任务依赖性分形模式
Task-dependent fractal patterns of information processing in working memory
论文作者
论文摘要
我们应用了降解的波动分析，功率谱密度和对脱侧交叉相关的特征分析，以研究代表四个视觉任务中工作记忆的昼夜变化的fMRI数据：两个视觉任务：两个口头和两个非语言。我们表明，分形缩放程度在区域取决于对认知任务的参与。在言语和非语言任务中的记忆之间发现了一个特别明显的差异。此外，大脑区域之间的分解互相关主要表明静止状态与其他任务之间，记忆和检索之间以及言语和非语言任务之间的差异。我们研究中提供的分形和光谱分析与先前与视觉空间和言语信息处理，工作记忆（编码和检索）和执行功能有关的研究一致，但发现它们比Pearson的相关性更敏感，并显示出获得其他局限结果的潜力。我们得出的结论是，可以根据大胆信号的分形特性及其偏离的互相关结构来区分区域依赖的认知任务参与。
We applied detrended fluctuation analysis, power spectral density, and eigenanalysis of detrended cross-correlations to investigate fMRI data representing a diurnal variation of working memory in four visual tasks: two verbal and two nonverbal. We show that the degree of fractal scaling is regionally dependent on engagement in cognitive tasks. A particularly apparent difference was found between memorisation in verbal and nonverbal tasks. Furthermore, the detrended cross-correlations between brain areas were predominantly indicative of differences between resting state and other tasks, between memorisation and retrieval, and between verbal and nonverbal tasks. The fractal and spectral analyses presented in our study are consistent with previous research related to visuospatial and verbal information processing, working memory (encoding and retrieval), and executive functions, but they were found to be more sensitive than Pearson correlations and showed the potential to obtain other subtler results. We conclude that regionally dependent cognitive task engagement can be distinguished based on the fractal characteristics of BOLD signals and their detrended cross-correlation structure.
