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使用呼吸校准 MRI 和近红外光谱技术在健康成年人中同时定量评估脑生理。

Simultaneous quantitative assessment of cerebral physiology using respiratory-calibrated MRI and near-infrared spectroscopy in healthy adults.

机构信息

Department of Neonatology, Wilhelmina Children's Hospital/University Medical Center Utrecht, Room: KE.04.123.1, P.O. Box: 85090, 3508 AB, Utrecht, The Netherlands.

出版信息

Neuroimage. 2014 Jan 15;85 Pt 1:255-63. doi: 10.1016/j.neuroimage.2013.07.015. Epub 2013 Jul 14.

Abstract

BACKGROUND

Functional near-infrared spectroscopy (fNIRS) and functional MRI (fMRI) are non-invasive techniques used to relate activity in different brain regions to certain tasks. Respiratory calibration of the blood oxygen level dependent (BOLD) signal, and combined fNIRS-fMRI approaches have been used to quantify physiological subcomponents giving rise to the BOLD signal. A comparison of absolute oxygen metabolism parameters between MRI and NIRS, using spatially resolved (SRS) NIRS and respiratory calibrated MRI, could yield additional insight in the physiology underlying activation.

MATERIALS AND METHODS

Changes in the BOLD signal, cerebral blood flow (CBF), and oxygen saturation (SO2) were derived from a single MRI sequence during a respiratory challenge in healthy volunteers. These changes were compared to SO2 obtained by a single probe SRS NIRS setup. In addition, concentration changes in oxygenated (O2Hb), deoxygenated (HHb), and total haemoglobin (tHb), obtained by NIRS, were compared to the parameters obtained by MRI.

RESULTS

NIRS SO2 correlated with end-tidal CO2 (0.83, p<0.0001), the BOLD signal (0.82, p<0.0001), CBF (0.85, p<0.0001), and also MRI SO2 (0.82, p<0.0001). The BOLD signal correlated with NIRS HHb (-0.76, p<0.0001), O2Hb (0.41, p=0.001), and tHb (r=0.32, p=0.01).

CONCLUSIONS

Good correlations show that changes in cerebral physiology, following a respiratory challenge, go hand in hand with changes in the BOLD signal, CBF, O2Hb, HHb, NIRS SO2, and MRI SO2. Out of all NIRS derived parameters, the SO2 showed the best correlation with the BOLD signal.

摘要

背景

功能近红外光谱(fNIRS)和功能磁共振成像(fMRI)是用于将不同脑区的活动与特定任务相关联的非侵入性技术。血氧水平依赖(BOLD)信号的呼吸校准以及结合的 fNIRS-fMRI 方法已被用于量化产生 BOLD 信号的生理亚成分。使用空间分辨(SRS)NIRS 和呼吸校准的 MRI 对 MRI 和 NIRS 之间的绝对氧代谢参数进行比较,可以深入了解激活的生理学基础。

材料和方法

在健康志愿者的呼吸挑战期间,从单个 MRI 序列中得出 BOLD 信号、脑血流(CBF)和氧饱和度(SO2)的变化。将这些变化与通过单个探头 SRS NIRS 设置获得的 SO2 进行比较。此外,通过 NIRS 获得的氧合(O2Hb)、去氧(HHb)和总血红蛋白(tHb)的浓度变化与 MRI 获得的参数进行了比较。

结果

NIRS SO2 与呼气末 CO2 相关(0.83,p<0.0001),与 BOLD 信号(0.82,p<0.0001)、CBF(0.85,p<0.0001)以及 MRI SO2 相关(0.82,p<0.0001)。BOLD 信号与 NIRS HHb(-0.76,p<0.0001)、O2Hb(0.41,p=0.001)和 tHb(r=0.32,p=0.01)相关。

结论

良好的相关性表明,呼吸挑战后脑生理学的变化与 BOLD 信号、CBF、O2Hb、HHb、NIRS SO2 和 MRI SO2 的变化密切相关。在所有 NIRS 衍生参数中,SO2 与 BOLD 信号的相关性最好。

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