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建模神经血管耦合损伤对静息状态下基于 BOLD 的功能连接的影响。

Modeling the impact of neurovascular coupling impairments on BOLD-based functional connectivity at rest.

机构信息

Technical University of Munich, School of Medicine, Klinikum Rechts der Isar, Department of Diagnostic and Interventional Neuroradiology, Ismaningerstr. 22, 81675, Munich, Germany; Technical University of Munich, School of Medicine, Klinikum Rechts der Isar, TUM Neuroimaging Center, Ismaningerstr. 22, 81675, Munich, Germany.

Technical University of Munich, School of Medicine, Klinikum Rechts der Isar, Department of Diagnostic and Interventional Neuroradiology, Ismaningerstr. 22, 81675, Munich, Germany; Technical University of Munich, School of Medicine, Klinikum Rechts der Isar, TUM Neuroimaging Center, Ismaningerstr. 22, 81675, Munich, Germany; Technical University of Munich, School of Medicine, Klinikum Rechts der Isar, Clinic for Neurology, Ismaningerst. 22, 81675, Munich, Munich, Germany.

出版信息

Neuroimage. 2020 Sep;218:116871. doi: 10.1016/j.neuroimage.2020.116871. Epub 2020 Apr 23.

DOI:10.1016/j.neuroimage.2020.116871
PMID:32335261
Abstract

Functional magnetic resonance imaging (fMRI) of blood oxygenation level dependent (BOLD) signals during the resting-state is widely used to study functional connectivity (FC) of slowly fluctuating ongoing brain activity (BOLD-FC) in humans with and without brain diseases. While physiological impairments, e.g. aberrant perfusion or vascular reactivity, are common in neurological and psychiatric disorders, their impact on BOLD-FC is widely unknown and ignored. The aim of our simulation study, therefore, was to investigate the influence of impaired neurovascular coupling on resting-state BOLD-FC. Simulated BOLD signals comprising intra- and extravascular contributions were derived from an adjusted balloon model, which allows for independent definitions of cerebral blood flow (CBF) and cerebral metabolic rate of oxygen (CMRO) responses, being elicited by a synthetic oscillatory input signal with low frequency (0.05 ​Hz) amplitude modulations. BOLD-FC was then defined by correlations between physiological reference BOLD time curves (seeds of seed-based BOLD-FC) and the test BOLD time curves (targets of BOLD-FC) featuring altered physiological variables (CMRO, CBF, cerebral blood volume (CBV)). Impact of impaired neurovascular coupling on BOLD-FC was investigated for three different scenarios with independent changes in (1) CBF and CMROamplitudes, (2) CBF and CMROdelays, and (3) coupling between CBF and CBV. For scenario 1, we found 'linear' influences of CMRO and CBF amplitudes on BOLD-FC: for a given CMRO amplitude, BOLD-FC changes from negative to positive FC with increasing CBF amplitude, and increasing CMRO amplitude simply shifts this dependence linearly. For scenario 2, CMRO and CBF delays had a complex 'non-linear' effect on BOLD-FC: for small CMRO delays, we found that BOLD-FC changes from positive to negative BOLD-FC with increasing CBF delays, but for large CMRO delays positive BOLD-FC simply diminishes with increasing CBF delay. For scenario 3, changes in CBF-CBV coupling have almost no effect on BOLD-FC. All these changes were not critically influenced by both signal-to-noise-ratio and temporal resolution modulations. Our results demonstrate the importance of alterations in neurovascular coupling for aberrant resting-state BOLD-FC. Based on our data, we suggest to complement BOLD-FC studies, at least of at-risk patient populations, with perfusion and oxygenation sensitive MRI. In cases where this is not available, we recommend careful interpretation of BOLD-FC results considering previous findings about hemodynamic-metabolic changes. In the future, accurate modeling of the hemodynamic-metabolic context might improve both our understanding of the crucial interplay between vascular-hemodynamic-neuronal components of intrinsic BOLD-FC and the evaluation of aberrant BOLD-FC in brain diseases with vascular-hemodynamic impairments.

摘要

功能磁共振成像(fMRI)的血氧水平依赖(BOLD)信号在静息状态下被广泛用于研究人类在有无脑部疾病时大脑活动(BOLD-FC)的缓慢波动的功能连接。虽然生理障碍,例如异常灌注或血管反应性,在神经和精神障碍中很常见,但它们对 BOLD-FC 的影响还很不清楚,也被忽视了。因此,我们的模拟研究的目的是调查神经血管耦合受损对静息状态下 BOLD-FC 的影响。模拟的 BOLD 信号包含血管内和血管外的贡献,是从调整后的气球模型中得出的,该模型允许独立定义脑血流(CBF)和脑氧代谢率(CMRO)的反应,这是由具有低频(0.05 Hz)幅度调制的合成振荡输入信号引起的。然后,通过生理参考 BOLD 时间曲线(种子的基于种子的 BOLD-FC)与具有改变的生理变量(CMRO、CBF、脑血容量(CBV))的测试 BOLD 时间曲线(BOLD-FC 的目标)之间的相关性来定义 BOLD-FC。我们研究了三种不同情况中神经血管耦合受损对 BOLD-FC 的影响,这三种情况的生理变量(CMRO 和 CBF 幅度、CMRO 和 CBF 延迟、CBF 和 CBV 之间的耦合)发生独立变化。对于情况 1,我们发现 CMRO 和 CBF 幅度对 BOLD-FC 有“线性”影响:对于给定的 CMRO 幅度,随着 CBF 幅度的增加,BOLD-FC 从负 FC 变为正 FC,而 CMRO 幅度的增加只是简单地将这种依赖性线性地移动。对于情况 2,CMRO 和 CBF 延迟对 BOLD-FC 有复杂的“非线性”影响:对于较小的 CMRO 延迟,我们发现随着 CBF 延迟的增加,BOLD-FC 从正 BOLD-FC 变为负 BOLD-FC,但对于较大的 CMRO 延迟,正 BOLD-FC 只是随着 CBF 延迟的增加而简单地减少。对于情况 3,CBF-CBV 耦合的变化对 BOLD-FC 几乎没有影响。所有这些变化都不受信号到噪声比和时间分辨率调制的严重影响。我们的结果表明,神经血管耦合的改变对异常静息状态 BOLD-FC 很重要。基于我们的数据,我们建议至少对高危患者群体的 BOLD-FC 研究进行补充,使用灌注和氧敏感 MRI。在无法获得这种方法的情况下,我们建议在考虑到关于血液动力学代谢变化的先前发现的情况下,仔细解释 BOLD-FC 结果。在未来,对血液动力学代谢环境的精确建模可能会提高我们对内在 BOLD-FC 中血管-血液动力学-神经元成分之间的关键相互作用的理解,并评估具有血管-血液动力学障碍的脑部疾病中异常 BOLD-FC 的评估。

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