Temporal clustering analysis: what does it tell us about the resting state of the brain?

静息状态功能磁共振成像 动态功能连接 楔前 神经科学 大脑活动与冥想 丘脑 功能磁共振成像 警惕(心理学) 大脑定位 默认模式网络 心理学 脑电图
作者
Victoria L. Morgan,John C. Gore,Jerzy P. Szaflarski
出处
期刊:PubMed [National Institutes of Health]
卷期号:14 (7): CR345-52 被引量:20
标识
摘要

BACKGROUND: Several networks of synchronous blood oxygen level dependent (BOLD) oscillations have been identified in the brain during the resting state. The aim of this study was to further characterize the dynamic nature of the brain at rest by investigating the presence and distribution of coherent, transient BOLD activity in resting fMRI data using a novel method of fMRI data analysis--2dTCA. MATERIAL/METHODS: High-field fMRI data were acquired in 27 subjects. The temporal clustering analysis, 2dTCA, was implemented to determine the timing of significant, spatially coherent, transient BOLD signal changes. Group maps of positive and negative coherent BOLD changes from each timing profile were created. RESULTS: Spontaneous increases in BOLD activity at both 3T and 4T and decreases at 4T were found in regions of the alpha rhythm circuit including the thalamus, precuneus and the occipital cortex. Additional positive and negative oscillations at 4T and a small region of positive activity at 3T were identified in the area of the brain stem reticular formation, the control center for maintaining arousal and motivation. CONCLUSIONS: These results provide additional evidence for the presence of dynamic functional networks in the resting brain that are active while the subjects appear to be at rest and that are spatially distributed in areas responsible for maintaining consciousness and vigilance including brain stem. These findings should be considered in interpreting fMRI results which use resting baseline for comparisons.

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