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

职业：一种使用实时、高分辨率光遗传学功能磁共振成像的新体内脑回路分析方法

• 批准号: 1460400
• 负责人: Jin Hyung Lee
• 金额: $ 11.88万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1460400&HistoricalAwards=false
• 关键词: CAREER; New; Vivo; Brain; Circuit

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.

这项提议利用了一种名为光遗传功能磁共振成像(OfMRI)的全新技术(由Lee博士首创)，并结合了先进的成像、计算和应用数学算法。光遗传学是一种遗传技术，它允许神经电路元件根据它们的遗传特性在时间上精确地被选择性触发，而通带b-SSFP功能磁共振成像提供了高质量的功能性大脑激活图，MRI是一种将两者相结合的技术，可以在选择性触发时可视化大脑电路的精确因果反应。这使得可以评估大脑回路元件在系统级结果中的因果作用。然而，为了解析大脑回路反应的大量组合，实时交互监测是必要的，而大脑的小而密集的结构需要高分辨率采集。PI的目标是设计和实现新的并行计算和压缩感知(CS)重建算法来实现这些目标。然后，该装置将被用来观察大脑电路对一系列频率刺激的反应。特别是，运动皮质(M1)、纹状体、丘脑和黑质(STN)将受到刺激，以便准确地绘制已知与帕金森病运动症状相关的系统图。然后将仔细比较大脑活动的幅度、形状和分布，以分析电路。