Phyllis Green and Randolph Cōwen Institute for Pediatric Neuroscience at the New York University Child Study Center, New York, NY, USA.
Neuroimage. 2010 Jan 15;49(2):1432-45. doi: 10.1016/j.neuroimage.2009.09.037. Epub 2009 Sep 24.
The human brain is a complex dynamic system capable of generating a multitude of oscillatory waves in support of brain function. Using fMRI, we examined the amplitude of spontaneous low-frequency oscillations (LFO) observed in the human resting brain and the test-retest reliability of relevant amplitude measures. We confirmed prior reports that gray matter exhibits higher LFO amplitude than white matter. Within gray matter, the largest amplitudes appeared along mid-brain structures associated with the "default-mode" network. Additionally, we found that high-amplitude LFO activity in specific brain regions was reliable across time. Furthermore, parcellation-based results revealed significant and highly reliable ranking orders of LFO amplitudes among anatomical parcellation units. Detailed examination of individual low frequency bands showed distinct spatial profiles. Intriguingly, LFO amplitudes in the slow-4 (0.027-0.073 Hz) band, as defined by Buzsáki et al., were most robust in the basal ganglia, as has been found in spontaneous electrophysiological recordings in the awake rat. These results suggest that amplitude measures of LFO can contribute to further between-group characterization of existing and future "resting-state" fMRI datasets.
人脑是一个复杂的动态系统，能够产生多种振荡波以支持大脑功能。我们使用 fMRI 检查了人类静息大脑中观察到的自发低频振荡 (LFO) 的幅度以及相关幅度测量的测试-重测可靠性。我们证实了先前的报告，即灰质的 LFO 幅度高于白质。在灰质内，最大的幅度出现在与“默认模式”网络相关的中脑结构上。此外，我们发现特定脑区的高幅度 LFO 活动在时间上是可靠的。此外，基于分割的结果显示了在解剖分割单元之间 LFO 幅度的显著且高度可靠的排序顺序。对单个低频带的详细检查显示出不同的空间分布。有趣的是，正如在清醒大鼠的自发电生理记录中发现的那样，由 Buzsáki 等人定义的慢-4（0.027-0.073 Hz）频段的 LFO 幅度在基底神经节中最为稳健。这些结果表明，LFO 的幅度测量可以有助于进一步对现有和未来“静息状态” fMRI 数据集进行组间特征描述。
