CAREER: A New Vivo Brain Circuit Analysis Method using Real-Time, High-Resolution Optogenetic fMRI

1056008 Lee该提案利用了一种名为光遗传学fMRI（ofMRI）（由Lee博士首创）的全新技术，结合先进的成像、计算和应用数学算法。光遗传学是一种遗传技术，它允许神经回路元件基于它们的遗传身份以时间精度被选择性地触发，而通带b-SSFP fMRI提供了要获得的高质量的功能性脑激活图，MRI是一种将两者结合以可视化脑回路在选择性触发时的精确因果响应的技术。这使得大脑回路元件在系统水平结果中的因果作用得以评估。然而，为了解析大脑回路反应的大规模组合，实时交互式监测是必要的，而大脑的小而密集的结构需要高分辨率的采集。PI旨在设计和实现新的并行计算和压缩感知（CS）重建算法，以实现这些目标。然后，将利用该实现来查看对一系列频率刺激的脑回路响应。特别地，将刺激运动皮层（M1）、纹状体、丘脑和黑质（Stn），以便精确地映射已知与帕金森病的运动症状相关的系统。然后，将仔细比较大脑活动的幅度、形状和分布，以分析电路。

1056008LeeThis proposal utilizes a brand new technology called optogenetic fMRI (ofMRI)(pioneered by Dr. Lee) combined with advanced imaging, computation, and applied mathematical algorithms. Optogenetics, is a genetic technology that allows neural circuit elements to be triggered selectively based on their genetic identity with temporal precision, while passband b-SSFP fMRI, provides high quality functional brain activation maps to be obtained of MRI is a technology that combines the two to visualize precise causal response of the brain circuit upon selective triggering. This allows the brain circuit element's causal role in the system level outcome to be evaluated. However, in order to parse through the massive combination of the brain circuit's response, real-time interactive monitoring is necessary while the small, dense structures of the brain requires high resolution acquisition. The PI aims to design and implement novel parallel computation and compressed sensing (CS) reconstruction algorithms to achieve these goals. The implementation will then be utilized to look at brain circuit responses to a range of frequency stimulation. In particular, the motor cortex (M1), striatum, thalamus, and substantia nigra (Stn) will be stimulated in order to precisely map the system known to be correlated with the motor symptoms of Parkinson's disease. Brain activity amplitude, shape, and distribution will then be carefully compared to analyze the circuitry.