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首页> 外文期刊>Journal of Computational Neuroscience >Identification and comparison of stochastic metabolic/ hemodynamic models (sMHM) for the generation of the BOLD signal
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Identification and comparison of stochastic metabolic/ hemodynamic models (sMHM) for the generation of the BOLD signal

机译:识别和比较用于产生BOLD信号的随机代谢/血液动力学模型(sMHM)

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摘要

This paper extends a previously formulated deterministic metabolic/hemodynarnic model for the generation of blood oxygenated level dependent (BOLD) responses to include both physiological and observation stochastic components (sMHM). This adds a degree of flexibility when fitting the model to actual data by accounting for un-modelled activity. We then show how the innovation method can be used to estimate unobserved metabolic/hemodynamic as well as vascular variables of the sMHM, from simulated and actual BOLD data. The proposed estimation method allowed for doing model comparison by calculating the model's AIC and BIC. This methodology was then used to select between different rnneurovascular coupling assumptions underlying sMHM. The proposed framework was first validated on simulations and then applied to BOLD data from a motor task experiment. The models under comparison in the analysis of the actual data considered that vascular response was coupled to: (I) inhibition, (II) excitation, (III) both excitation and inhibition. Data was best described by model II, although model III was also supported.
机译:本文扩展了先前制定的确定性代谢/血尿素模型,用于产生血氧水平依赖性(BOLD)反应,以包括生理和观察随机成分(sMHM)。通过考虑未建模的活动,在将模型拟合到实际数据时,这增加了一定程度的灵活性。然后,我们将展示如何使用创新方法从模拟和实际BOLD数据估算未观察到的sMHM的代谢/血液动力学以及血管变量。所提出的估计方法允许通过计算模型的AIC和BIC进行模型比较。然后使用此方法在sMHM的不同神经血管耦合假设之间进行选择。所提出的框架首先在仿真中得到验证,然后应用于来自运动任务实验的BOLD数据。在对实际数据的分析中进行比较的模型认为,血管反应与以下因素有关:(I)抑制,(II)激发,(III)激发和抑制。尽管模型III也得到支持,但模型II最好地描述了数据。

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