Does the resting state connectivity have hemispheric asymmetry? A near-infrared spectroscopy study.
Does the resting state connectivity have hemispheric asymmetry? A near-infrared spectroscopy study.
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DOI：
10.1016/j.neuroimage.2013.05.092
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发表时间：
2014-01-15
期刊：
影响因子：
5.7
通讯作者：
Medvedev AV
中科院分区：
文献类型：
--
作者：
Medvedev AV
近红外光谱（NIRS）是一种低成本的非侵入性脑成像的新技术，适用于几乎所有的受试者和患者人群。许多使用功能磁共振成像的脑功能连接的研究，最近的近红外光谱，提出了新的工具，在任务执行和休息状态（RS）的认知功能的评估。我们分析了功能连接和其可能的半球不对称性测量光信号的相干性在低频率（0.01-0.1 Hz）在前额叶皮层在13右利手（RH）和2左利手（LH）健康受试者在休息（4-8分钟）使用连续波近红外光谱仪CW 5（TechEn，米尔福德，MA）。使用10-20系统的解剖标志，将两个光学探针双侧放置在额下回（IFG）和额中回（MFG）上。结果，记录了28个光学通道（每个半球14个）用于氧合（HbO）和脱氧（HbR）血红蛋白的变化。使用主成分和独立成分分析去除全局生理信号（呼吸和心脏）。使用Morlet小波沿着与相关系数计算HbO和HbR信号的通道间相干性。连接性矩阵显示了特定的连接性模式，其在每个解剖区域（IFG和MFG）内和半球之间（例如，左IFG和<->右IFG）之间的差异大于同一半球IFG和MFG之间的差异。偏侧性指数计算为每个受试者中每个通道区域组内内在连接性的“左>右”比较的t值。无论利手，组平均偏侧指数为负，从而揭示了显着较高的连接在右半球在大多数RH科目和LH科目。对两半球之间的格兰杰因果关系的分析也表明，从右脑到左脑的信息流动更大，这可能表明右脑在静息状态下发挥着重要作用。这些数据鼓励进一步探索近红外光谱的连接性及其在大脑功能结构中半球关系分析的应用。
Near-infrared spectroscopy (NIRS) is a novel technology for low-cost noninvasive brain imaging suitable for use in virtually all subject and patient populations. Numerous studies of brain functional connectivity using fMRI, and recently NIRS, suggest new tools for the assessment of cognitive functions during task performance and the resting state (RS). We analyzed functional connectivity and its possible hemispheric asymmetry measuring coherence of optical signals at low frequencies (0.01-0.1 Hz) in the prefrontal cortex in 13 right-handed (RH) and 2 left-handed (LH) healthy subjects at rest (4-8 min) using a continuous-wave NIRS instrument CW5 (TechEn, Milford, MA). Two optical probes were placed bilaterally over the inferior frontal gyrus (IFG) and the middle frontal gyrus (MFG) using anatomical landmarks of the 10-20 system. As a result, 28 optical channels (14 for each hemisphere) were recorded for changes in oxygenated (HbO) and de-oxygenated (HbR) hemoglobin. Global physiological signals (respiratory and cardiac) were removed using Principal and Independent Component Analyses. Inter-channel coherences for HbO and HbR signals were calculated using Morlet wavelets along with correlation coefficients. Connectivity matrices showed specific patterns of connectivity which was higher within each anatomical region (IFG and MFG) and between hemispheres (e.g., left IFG <-> right IFG) than between IFG and MFG in the same hemisphere. Laterality indexes were calculated as t-values for the ‘left > right’ comparisons of intrinsic connectivity within each regional group of channels in each subject. Regardless of handedness, the group average laterality indexes were negative thus revealing significantly higher connectivity in the right hemisphere in the majority of RH subjects and in both LH subjects. The analysis of Granger Causality between hemispheres has also shown a greater flow of information from the right to the left hemisphere which may point to an important role of the right hemisphere in the resting state. These data encourage further exploration of the NIRS connectivity and its application for the analysis of hemispheric relationships within the functional architecture of the brain.
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