Cloos Martijn A, Selingue Erwan, Hodono Shota, Gaudin Romain, Ciobanu Luisa
Australian Institute for Bioengineering and Nanotechnology, University of Queensland, St. Lucia, Australia.
NeuroSpin/CEA, University Paris-Saclay, Gif-sur-Yvette, France.
Imaging Neurosci (Camb). 2024 Apr 18;2. doi: 10.1162/imag_a_00136. eCollection 2024.
Recently, a new method was introduced to detect neuronal activity using Magnetic Resonance Imaging (MRI). The method, referred to as DIANA, showed MRI signals with millisecond temporal resolution that correlated with local field potentials measured invasively in mice. Troublingly, attempts by other groups to detect the DIANA signals in humans at 7 Tesla and mice at 15.2 Tesla have failed. So far, attempts to reproduce DIANA in small rodents have focused on paradigms using whisker pad stimulation, which were expected to produce a 0.1-0.15% signal change. However, the Supplementary Material accompanying the original DIANA paper showed that visual stimulation produced a three times larger signal, which should be much easier to detect. Therefore, we attempted to find the DIANA signal in rats using a visual stimulation paradigm. Experiments were performed at 17.2 Tesla but also at 7.0 Tesla to see if the DIANA signal appears at a lower field strength where T2 is longer and BOLD contributions are reduced. In addition, simulations were performed to investigate the theoretical detectability of synthetic DIANA signals in noisy data. Although our data indicated that a 0.1% signal change would have been detectable, we did not observe a DIANA signal. We did observe neuronally driven hemodynamic signal variations that were much larger than the anticipated DIANA signal. The amplitude of these signal changes was relatively similar at 7.0 and 17.2 Tesla (0.7% vs 1.1%). Numerical simulations indicated, however, that the measured hemodynamic signal changes would not interfere with the detection of DIANA signals. Therefore, it is reasonable to expect that measurements at higher field strength with improved SNR would have a better chance to detect the DIANA signal. Yet, we, among others, were unable to find it.
最近,一种利用磁共振成像(MRI)检测神经元活动的新方法被引入。该方法被称为DIANA,它显示出具有毫秒级时间分辨率的MRI信号,这些信号与在小鼠中通过侵入性测量得到的局部场电位相关。令人困扰的是,其他研究小组在7特斯拉的人体以及15.2特斯拉的小鼠中检测DIANA信号的尝试均告失败。到目前为止,在小型啮齿动物中重现DIANA的尝试主要集中在使用触须垫刺激的范式上,预计这种刺激会产生0.1 - 0.15%的信号变化。然而,DIANA原始论文的补充材料表明,视觉刺激产生的信号要大三倍,应该更容易被检测到。因此,我们尝试在大鼠中使用视觉刺激范式来寻找DIANA信号。实验在17.2特斯拉以及7.0特斯拉的磁场强度下进行,以观察DIANA信号是否会出现在T2更长且血氧水平依赖(BOLD)贡献降低的较低场强环境中。此外,还进行了模拟以研究噪声数据中合成DIANA信号的理论可检测性。尽管我们的数据表明0.1%的信号变化是可以被检测到的,但我们并未观察到DIANA信号。我们确实观察到了神经元驱动的血流动力学信号变化,其幅度比预期的DIANA信号大得多。这些信号变化的幅度在7.0特斯拉和17.2特斯拉时相对相似(分别为0.7%和1.1%)。然而,数值模拟表明,所测量的血流动力学信号变化不会干扰DIANA信号的检测。因此,可以合理预期,在更高场强下进行测量并提高信噪比将有更好的机会检测到DIANA信号。然而,我们以及其他一些人都未能找到它。