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CRCNS US-Israel Research Proposal: Multiscale analysis of brain-wide neuromodulation

CRCNS 美国-以色列研究提案：全脑神经调节的多尺度分析

基本信息

批准号：
2207891
负责人：
Mikail Rubinov
金额：
$ 60万
依托单位：
Vanderbilt University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-15 至 2025-08-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2207891&HistoricalAwards=false
关键词：
CRCNS US Israel Research Proposal

项目摘要

Ongoing changes in motivation, mood, and alertness, play an important role in healthy brain function, and are disrupted in neurological and psychiatric disorders. The project will analyze neural circuitry that underpins these changes across behavioral states. It will do so by developing a new computational analysis method, validating this method on recordings of zebrafish brain activity, and using this method to analyze human brain activity. The project will also develop an online educational workshop on extraction of knowledge from big neural data. The workshop will provide a hands-on approach to analysis and modeling of large neuroscience datasets — from simulations to zebrafish to humans — and in this way will help train a new generation of computational neuroscientists.The project proposes a new computational framework for statistical inference of neuromodulation in functional imaging data across species and scales. It will validate and deploy this framework in three steps. First, it will validate this framework in simulations of neuronal network activity with known ground truth. Second, it will deploy this framework to zebrafish brain-wide cell-resolution calcium imaging data. This deployment will enable the discovery of neuromodulatory systems, and the benchmarking of these discoveries against existing anatomical knowledge. Third, it will translate this framework to analysis of human functional MRI data. This translation will facilitate noninvasive inference of neuromodulation in living humans across brain states. Collectively, completion of these steps will deliver an integrative statistical framework for inferring brain-wide neuromodulatory systems across species and spatial scales. In the short term, this completion will provide investigators with new ways to infer effects of neuromodulation from non-invasive imaging. In the long term, this completion will help facilitate detection of dysregulated neuromodulation across brain states. Collectively, these deliverables will accelerate discovery of foundational aspects of brain activity and function.This project is funded jointly by the Neural Systems Cluster in the Biological Sciences Directorate and the Division of Information and Intelligent Systems in the Computer and information Science and Engineering Directorate. A companion project is being funded by the US-Israel Binational Science Foundation (BSF).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

动机，情绪和警觉性的持续变化在健康的大脑功能中起着重要作用，并且在神经和精神疾病中被破坏。该项目将分析支持这些行为状态变化的神经回路。它将通过开发一种新的计算分析方法来实现，在斑马鱼大脑活动的记录上验证这种方法，并使用这种方法来分析人类大脑活动。该项目还将开发一个关于从大神经数据中提取知识的在线教育研讨会。该研讨会将提供一个动手的方法来分析和建模的大型神经科学数据集-从模拟到斑马鱼到人类-并以这种方式将有助于培养新一代的计算神经科学家。该项目提出了一个新的计算框架，用于跨物种和尺度的功能成像数据中神经调制的统计推断。它将分三步验证和部署这个框架。首先，它将在具有已知基础事实的神经元网络活动的模拟中验证该框架。其次，它将把这个框架部署到斑马鱼全脑细胞分辨率的钙成像数据中。这一部署将使神经调节系统的发现，以及这些发现对现有解剖学知识的基准。第三，它将把这个框架转化为对人类功能性MRI数据的分析。这种翻译将有助于在不同大脑状态下对活体人类的神经调节进行非侵入性推断。总的来说，完成这些步骤将提供一个综合的统计框架，用于推断跨物种和空间尺度的全脑神经调节系统。在短期内，这一完成将为研究人员提供新的方法来推断非侵入性成像的神经调节的影响。从长远来看，这一完成将有助于促进跨大脑状态的神经调节失调的检测。总的来说，这些成果将加速大脑活动和功能的基础方面的发现。该项目由生物科学理事会神经系统集群和计算机和信息科学与工程理事会信息和智能系统部门共同资助。美国-以色列两国科学基金会（BSF）正在资助一个配套项目。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。