Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany.
J Neurosci. 2012 Jan 25;32(4):1395-407. doi: 10.1523/JNEUROSCI.3985-11.2012.
There is growing evidence that several components of the mass neural activity contributing to the local field potential (LFP) can be partly separated by decomposing the LFP into nonoverlapping frequency bands. Although the blood oxygen level-dependent (BOLD) signal has been found to correlate preferentially with specific frequency bands of the LFP, it is still unclear whether the BOLD signal relates to the activity expressed by each LFP band independently of the others or if, instead, it also reflects specific relationships among different bands. We investigated these issues by recording, simultaneously and with high spatiotemporal resolution, BOLD signal and LFP during spontaneous activity in early visual cortices of anesthetized monkeys (Macaca mulatta). We used information theory to characterize the statistical dependency between BOLD and LFP. We found that the alpha (8-12 Hz), beta (18-30 Hz), and gamma (40-100 Hz) LFP bands were informative about the BOLD signal. In agreement with previous studies, gamma was the most informative band. Both increases and decreases in BOLD signal reliably followed increases and decreases in gamma power. However, both alpha and beta power signals carried information about BOLD that was largely complementary to that carried by gamma power. In particular, the relationship between alpha and gamma power was reflected in the amplitude of the BOLD signal, while the relationship between beta and gamma bands was reflected in the latency of BOLD with respect to significant changes in gamma power. These results lay the basis for identifying contributions of different neural pathways to cortical processing using fMRI.
越来越多的证据表明,局部场电位(LFP)的大量神经活动的几个组成部分可以通过将 LFP 分解为不重叠的频带来部分分离。虽然血氧水平依赖(BOLD)信号已被发现与 LFP 的特定频带优先相关,但仍不清楚 BOLD 信号是否与每个 LFP 频带的活动有关,而与其他频带无关,或者它是否也反映了不同频带之间的特定关系。我们通过在麻醉猕猴(Macaca mulatta)早期视觉皮层中同时以高时空分辨率记录自发活动期间的 BOLD 信号和 LFP 来研究这些问题。我们使用信息论来描述 BOLD 和 LFP 之间的统计依赖性。我们发现,alpha(8-12 Hz)、beta(18-30 Hz)和 gamma(40-100 Hz)LFP 频带与 BOLD 信号有关。与先前的研究一致,gamma 是最具信息量的频带。BOLD 信号的增加和减少可靠地跟随 gamma 功率的增加和减少。然而,alpha 和 beta 功率信号都携带了与 gamma 功率携带的信息大部分互补的 BOLD 信息。特别是,alpha 和 gamma 功率之间的关系反映在 BOLD 信号的幅度上,而 beta 和 gamma 频带之间的关系反映在 BOLD 相对于 gamma 功率的显著变化的潜伏期上。这些结果为使用 fMRI 识别不同神经通路对皮质处理的贡献奠定了基础。