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首页> 外文期刊>NeuroImage >Neural inhibition can explain negative BOLD responses: A mechanistic modelling and fMRI study
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Neural inhibition can explain negative BOLD responses: A mechanistic modelling and fMRI study

机译:神经抑制可以解释负大胆的反应:机械建模和FMRI研究

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Abstract Functional magnetic resonance imaging (fMRI) of hemodynamic changes captured in the blood oxygen level-dependent (BOLD) response contains information of brain activity. The BOLD response is the result of a complex neurovascular coupling and comes in at least two fundamentally different forms: a positive and a negative deflection. Because of the complexity of the signaling, mathematical modelling can provide vital help in the data analysis. For the positive BOLD response, there are plenty of mathematical models, both physiological and phenomenological. However, for the negative BOLD response, no physiologically based model exists. Here, we expand our previously developed physiological model with the most prominent mechanistic hypothesis for the negative BOLD response: the neural inhibition hypothesis. The model was trained and tested on experimental data containing both negative and positive BOLD responses from two studies: 1) a visual-motor task and 2) a working-memory task in conjunction with administration of the tranquilizer diazepam. Our model was able to predict independent validation data not used for training and provides a mechanistic underpinning for previously observed effects of diazepam. The new model moves our understanding of the negative BOLD response from qualitative reasoning to a quantitative systems-biology level, which can be useful both in basic research and in clinical use. Highlights ? New physiological model of fMRI-data describes negative BOLD responses. ? Excitatory and inhibitory activity affect feedforward neurovascular signaling. ? Training and validation data from two task-based experiments. ? The model suggests an explanation of BOLD responses related to tranquilizer diazepam.
机译:摘要血液动力学变化的功能磁共振成像(FMRI)捕获的血氧依赖性(粗体)响应中捕获的血液动力学变化包含大脑活动的信息。粗体响应是复杂神经血管耦合的结果,并至少有两个基本不同的形式:正面和负偏转。由于信令的复杂性,数学建模可以在数据分析中提供重要帮助。对于积极的大胆反应,有大量的数学模型,生理和现象。但是,对于负粗体响应,不存在基于生理学的模型。在这里,我们将先前开发的生理模型扩展了最突出的机制假设,用于负面大胆反应:神经抑制假设。该模型培训并测试了从两项研究的负面和正大声响应的实验数据培训和测试:1)视觉电机任务和2)结合促进旋转DiazePam的工作记忆工作记忆任务。我们的模型能够预测未用于培训的独立验证数据,并为先前观察到的DiazePam效果提供机械效力。新模式使我们对定性系统 - 生物学水平的定性推理的负面大胆反应的理解移动,这可以是基础研究和临床用途的有用。强调 ? FMRI数据的新生理模型描述了负粗响应。还是兴奋性和抑制活性会影响前馈神经血管信号传导。还是来自两个任务的实验的培训和验证数据。还是该模型建议解释与静脉曲化的Diazepam相关的大胆响应。

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