fMRI at High Spatial Resolution: Implications for BOLD-Models.
fMRI at High Spatial Resolution: Implications for BOLD-Models.
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DOI：
10.3389/fncom.2016.00066
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发表时间：
2016
影响因子：
3.2
通讯作者：
Logothetis NK
中科院分区：
文献类型：
--
作者：
Goense J;Bohraus Y;Logothetis NK
随着高分辨率功能磁共振成像 (fMRI) 和皮质层 fMRI 的应用越来越广泛，高分辨率 fMRI 信号如何反映底层神经处理以及如何解释层流 fMRI 数据的问题变得越来越重要。高分辨率功能磁共振成像显示脑血流量 (CBF)、容量 (CBV) 和神经血管耦合存在层状差异。以前集中到单个体素中的特征和过程在高分辨率下变得空间上不同。这些特征可以是血管区室，例如静脉、动脉和毛细血管，也可以是皮质层和柱，它们的新陈代谢可能存在差异。因此，血氧水平依赖性（BOLD）反应的细观模型需要扩展，例如，纳入神经活动、代谢和血流动力学反应之间耦合的层状差异。在这里，我们讨论影响高分辨率功能磁共振成像数据建模和解释的生物学和方法学因素。我们还通过神经药理学和阴性 BOLD 反应的例子来说明如何将 BOLD 与基于 CBF 和 CBV 的 fMRI 方法相结合可以提供有关神经血管耦合的额外信息，并可以帮助高分辨率 fMRI 的建模和解释。
As high-resolution functional magnetic resonance imaging (fMRI) and fMRI of cortical layers become more widely used, the question how well high-resolution fMRI signals reflect the underlying neural processing, and how to interpret laminar fMRI data becomes more and more relevant. High-resolution fMRI has shown laminar differences in cerebral blood flow (CBF), volume (CBV), and neurovascular coupling. Features and processes that were previously lumped into a single voxel become spatially distinct at high resolution. These features can be vascular compartments such as veins, arteries, and capillaries, or cortical layers and columns, which can have differences in metabolism. Mesoscopic models of the blood oxygenation level dependent (BOLD) response therefore need to be expanded, for instance, to incorporate laminar differences in the coupling between neural activity, metabolism and the hemodynamic response. Here we discuss biological and methodological factors that affect the modeling and interpretation of high-resolution fMRI data. We also illustrate with examples from neuropharmacology and the negative BOLD response how combining BOLD with CBF- and CBV-based fMRI methods can provide additional information about neurovascular coupling, and can aid modeling and interpretation of high-resolution fMRI.