A cerebrovascular response model for functional neuroimaging including dynamic cerebral autoregulation.
A cerebrovascular response model for functional neuroimaging including dynamic cerebral autoregulation.
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DOI：
10.1016/j.mbs.2009.05.002
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发表时间：
2009-08
影响因子：
4.3
通讯作者：
Boas DA
中科院分区：
文献类型：
--
作者：
Diamond SG;Perdue KL;Boas DA
功能性神经成像技术，例如功能性磁共振成像（fMRI）和近红外光谱（NIRS），可用于将从显着的背景生理波动中分离出对刺激的诱发反应。数据分析方法通常使用平均或线性回归来消除这种生理基线，并取得了不同程度的成功。此前，Balloon 和 Windkessel 模型也已推进基于生物物理模型的功能性血流动力学响应分析。在目前的工作中，系统和脑循环和气体交换的生物物理模型应用于 10 名人类受试者的静息态 NIRS 神经影像数据。该模型还包括动态脑自动调节，调节脑小动脉顺应性以控制脑血流量。该生物物理模型可以通过无创血压测量来预测全身和脑循环的背景血流动力学波动。与血压回归和传递函数分析相比，使用生物物理模型预测发现与 NIRS 数据的相关性显着更高（多因素方差分析，p<0.0001）。这一发现支持进一步开发和使用生物物理模型来消除功能神经影像分析中的基线活动。这项工作的未来扩展可以模拟发育、衰老和疾病期间发生的脑血管生理学变化。
Functional neuroimaging techniques such as functional magnetic resonance imaging (fMRI) and near-infrared spectroscopy (NIRS) can be used to isolate an evoked response to a stimulus from significant background physiological fluctuations. Data analysis approaches typically use averaging or linear regression to remove this physiological baseline with varying degrees of success. Biophysical model-based analysis of the functional hemodynamic response has also been advanced previously with the Balloon and Windkessel models. In the present work, a biophysical model of systemic and cerebral circulation and gas exchange is applied to resting state NIRS neuroimaging data from 10 human subjects. The model further includes dynamic cerebral autoregulation, which modulates the cerebral arteriole compliance to control cerebral blood flow. This biophysical model allows for prediction, from noninvasive blood pressure measurements, of the background hemodynamic fluctuations in the systemic and cerebral circulations. Significantly higher correlations with the NIRS data were found using the biophysical model predictions compared to blood pressure regression and compared to transfer function analysis (multifactor ANOVA, p<0.0001). This finding supports the further development and use of biophysical models for removing baseline activity in functional neuroimaging analysis. Future extensions of this work could model changes in cerebrovascular physiology that occur during development, aging and disease.
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影响因子：
14.5
作者：
LEENDERS, KL;PERANI, D;JONES, T
通讯作者：
JONES, T
DOI：
10.1016/0034-5687(67)90028-x
发表时间：
1967-01-01
期刊：
RESPIRATION PHYSIOLOGY
影响因子：
--
作者：
KELMAN, GR
通讯作者：
KELMAN, GR
影响因子：
3.3
作者：
Liu, CH;Niranjan, SC;Bidani, A
通讯作者：
Bidani, A
影响因子：
5.7
作者：
Hoge, RD;Franceschini, MA;Boas, DA
通讯作者：
Boas, DA
影响因子：
3
作者：
Fülesdi, B;Limburg, M;Csiba, L
通讯作者：
Csiba, L