CRCNS: Microimaging/modeling of retinal responses measured with laser magnetometer

神经元活动的磁性测量提供了关于大脑功能的有价值的信息， 从而能够识别来源和系统动力学的特征。此前，这一点 在整个大脑的尺度上，以低空间分辨率记录信息。新兴的新事物 基于超灵敏原子磁强计的技术，允许微型神经系统 探查过了。最近，由于NV-钻石磁强计的前景，引起了人们极大的兴趣 神经元磁场的高灵敏度和高分辨率。激光显微磁场成像技术 少数神经元的水平是功能的一个新的和潜在的革命性方向 神经成像。磁场图提供了功能上有意义的直接信息 神经元中的过程，潜在地具有比其他技术更好的确定性和分辨率 动态神经元网络的多尺度建模对于理解人类是如何 大脑正常工作。这样的建模可以填补固有的有限实验数据的空白，使我们能够 改进建模假设。更实际的系统模型可以通过建议的 实验。大规模神经元网络模拟，目前基于简化的神经元模型， 将与解剖学上真实的磁场计算相结合，以预测 多个尺度上的神经系统。这些模型可以提高我们对疾病成因的理解 脑磁图(MEG)，并可能建议有用的策略，以加强其他方法的基础 在磁性测量上，例如用核磁共振成像神经元电流。 我们多方面的合作，将超灵敏磁场测量技术 基于原子和NV-钻石磁强计，具有生理测量和 大规模的神经网络成像，加上详细的磁场计算，使这一点成为可能 具有挑战性但回报丰厚的项目。

Magnetic measurements of neuronal activity provide valuable information about brain function, allowing identification of sources and characterization of system dynamics. Previously, this information was recorded with low spatial resolution at the scale of the whole brain. Emerging new technology based on ultra-sensitive Atomic magnetometers, allows micro-scale neural systems to be probed. Recently, NV-diamond magnetometers attracted considerable interest due to prospects for high sensitivity and resolution of the neuronal magnetic field. Microscopic magnetic field imaging at the level of a few neurons is a novel and potentially revolutionary direction for functional neuroimaging. Magnetic field mapping provides direct information on functionally significant processes in neurons, potentially with better certainty and resolution than other techniques Multi-scale modeling of dynamic neuronal networks is essential for understanding how the human brain works. Such modeling can fill the gaps in inherently limited experimental data, allowing us to improve modeling assumptions. More realistic system models can be tested with proposed experiments. Large-scale neuronal network simulations, currently based on simplified neuron models, will be coupled with anatomically realistic magnetic field calculations to predict magnetic fields of neuronal systems at multiple scales. The models can improve our understanding of the genesis of magnetoencephalography (MEG) and may suggest useful strategies to enhance other methods based on magnetic measurements, such as imaging of neuronal current with MRI. Our multi-faceted collaboration, linking the technology of ultra-sensitive magnetic field measurements based on atomic and NV-diamond magnetometers, with expertise in physiological measurements and large-scale neural network imaging, coupled with detailed magnetic field calculations, enables this challenging but rewarding project.