Butler Russell, Bernier Pierre-Michel, Lefebvre Jérémie, Gilbert Guillaume, Whittingstall Kevin
Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Science.
Department of Kinanthropology, and.
J Neurosci. 2017 May 31;37(22):5408-5418. doi: 10.1523/JNEUROSCI.3938-16.2017. Epub 2017 Apr 28.
Although fMRI using the BOLD contrast is widely used for noninvasively mapping hemodynamic brain activity in humans, its exact link to underlying neural processing is poorly understood. Whereas some studies have reported that BOLD signals measured in visual cortex are tightly linked to neural activity in the narrow band γ (NBG) range, others have found a weak correlation between the two. To elucidate the mechanisms behind these conflicting findings, we hypothesized that BOLD reflects the strength of synaptic inputs to cortex, whereas NBG is more dependent on how well these inputs are correlated. To test this, we measured NBG, BOLD, and cerebral blood flow responses to stimuli that either correlate or decorrelate neural activity in human visual cortex. Next, we simulated a recurrent network model of excitatory and inhibitory neurons that reproduced in detail the experimental NBG and BOLD data. Results show that the visually evoked BOLD response was solely predicted by the sum of local inputs, whereas NBG was critically dependent on how well these inputs were correlated. In summary, the NBG-BOLD relationship strongly depends on the nature of sensory input to cortex: stimuli that increase the number of correlated inputs to visual cortex will increase NBG and BOLD in a similar manner, whereas stimuli that increase the number of decorrelated inputs will dissociate the two. The NBG-BOLD relationship is therefore not fixed but is rather highly dependent on input correlations that are both stimulus- and state-dependent. It is widely believed that γ oscillations in cortex are tightly linked to local hemodynamic activity. Here, we present experimental evidence showing how a stimulus can increase local blood flow to the brain despite suppressing γ power. Moreover, using a sophisticated model of cortical neurons, it is proposed that this occurs when synaptic input to cortex is strong yet decorrelated. Because input correlations are largely determined by the state of the brain, our results demonstrate that the relationship between γ and local hemodynamics is not fixed, but rather context dependent. This likely explains why certain neurodevelopmental disorders are characterized by weak γ activity despite showing normal blood flow.
尽管使用血氧水平依赖(BOLD)对比的功能磁共振成像(fMRI)被广泛用于非侵入性地绘制人类大脑的血流动力学活动图谱,但其与潜在神经处理的确切联系却知之甚少。虽然一些研究报告称,在视觉皮层中测量到的BOLD信号与窄带γ(NBG)范围内的神经活动紧密相关,但其他研究发现两者之间的相关性较弱。为了阐明这些相互矛盾的发现背后的机制,我们假设BOLD反映了皮层突触输入的强度,而NBG则更依赖于这些输入的相关程度。为了验证这一点,我们测量了人类视觉皮层中对神经活动进行相关或去相关处理的刺激所产生的NBG、BOLD和脑血流量反应。接下来,我们模拟了一个兴奋性和抑制性神经元的递归网络模型,该模型详细再现了实验性的NBG和BOLD数据。结果表明,视觉诱发的BOLD反应仅由局部输入的总和预测,而NBG则严重依赖于这些输入的相关程度。总之,NBG与BOLD的关系强烈依赖于皮层感觉输入的性质:增加视觉皮层相关输入数量的刺激将以类似方式增加NBG和BOLD,而增加去相关输入数量的刺激将使两者分离。因此,NBG与BOLD的关系不是固定的,而是高度依赖于刺激和状态依赖的输入相关性。人们普遍认为皮层中的γ振荡与局部血流动力学活动紧密相关。在这里,我们提供了实验证据,表明一种刺激如何在抑制γ功率的情况下增加大脑的局部血流量。此外,使用一个复杂的皮层神经元模型,有人提出当皮层的突触输入很强但不相关时就会发生这种情况。由于输入相关性在很大程度上由大脑状态决定,我们的结果表明γ与局部血流动力学之间的关系不是固定的,而是依赖于上下文。这可能解释了为什么某些神经发育障碍尽管血流正常,但却以γ活动减弱为特征。