Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain.

Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain.
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DOI:
10.1016/j.neuroimage.2010.06.049
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发表时间:
2010-11-01
期刊:
影响因子:
5.7
通讯作者:
Frederick, Blaise deB.
Frederick, Blaise deB.
中科院分区:
医学1区
文献类型:
--
作者:
Tong, Yunjie;Frederick, Blaise deB.

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低频振荡(LFO)是近红外光谱(NIRS)和功能磁共振成像(FMRI)等与血液相关的脑功能测量中常见的现象,其特征是频率在0.01~0.1 Hz之间。虽然它们的生理起源和意义尚不完全清楚,但这些信号被认为反映了某些类型的神经元信号、全身血流动力学和/或脑血管自动调节过程。在这里,我们研究了一种新的集成处理方法,在整个大脑休息状态采集期间,对六个受试者同时收集的NIRS和fMRI数据进行综合处理。该方法结合了fMRI提供的高空间分辨率(~3 mm)和NIRS提供的高时间分辨率(~80ms),允许对fMRI数据中不同空间位置观测到的LFO之间的时间关系进行定量评估。这种时间关系使我们能够推断,很大一部分LFO的起源与基线神经活动无关。NIRS和fMRI检测到的LFO的时空模式在大脑中以一种类似于脑血流动力学的方式在时间上演变。我们的结果表明,LFO的主要成分来自于全球循环系统水平上的血流和血红蛋白氧合的波动。
Low frequency oscillations (LFOs), characterized by frequencies in the range 0.01~0.1 Hz are commonly observed in blood-related brain functional measurements such as near-infrared spectroscopy (NIRS) and functional magnetic resonance imaging (fMRI). While their physiological origin and implications are not fully understood, these signals are believed to reflect some types of neuronal signaling, systemic hemodynamics, and/or cerebral vascular auto-regulation processes. Here, we examine a new method of integrated processing of concurrent NIRS and fMRI data collected on six human subjects during a whole brain resting state acquisition. The method combines the high spatial resolution offered by fMRI (~3 mm) and the high temporal resolution offered by NIRS (~ 80 ms) to allow for the quantitative assessment of temporal relationships between the LFOs observed at different spatial locations in fMRI data. This temporal relationship allowed us to infer that the origin of a large proportion of the LFOs is independent of the baseline neural activity. The spatio-temporal pattern of LFOs detected by NIRS and fMRI evolves temporally through the brain in a way that resembles cerebral blood flow dynamics. Our results suggest that a major component of the LFOs arise from fluctuations in the blood flow and hemoglobin oxygenation at a global circulatory system level.
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