CRCNS: Functional Brain Networks with Tensioned Stability for Optimal Processing

了解酒精使用和滥用背后的大脑过程对于发展 酒精使用障碍或AUD的有效治疗。人类大脑成像极大地促进了我们目前的 对澳元的理解，但还有更多的东西有待了解。最近，人类神经科学已经被 通过网络科学和神经成像（现在被称为网络神经科学）的整合而改变。 功能性脑成像用于生成网络，以检查同步的相互连接的组。 大脑区域。这个项目的首要假设是，大脑同步只是大脑同步的一半。 大脑网络的故事这项工作断言，功能性大脑网络实际上有两个关键的子层。 第一层是使用相关方法识别的完善的同步网络， 协作功能网络（cFN）。第二层是一个拟议的网络， 这种网络称为不渗透功能网络（iFN）。iFN对于换档至关重要 子网络内和子网络之间的同步，以支持认知需求的转变。两层 在紧张中共存，每个人都扮演着自己的角色，以支持稳定而灵活的大脑功能。这个项目 结合数学建模和模拟与应用的方法来预测饮酒 国家酒精和青少年神经发育联盟（NCANDA）数据集。 该项目的成功将证明，cFN和iFN都是更完整的 了解正常和异常的大脑功能。我们迫切需要更深入地了解 酒精使用/滥用以及更好地诊断和治疗AUD。不幸的是，潜在的生物标志物 针对这些病症的治疗试验不断失败。这个项目可能会有变革性的 潜力，因为它带来了以前未发现的大脑组织原则，并可能导致新的 基于cFN和iFN的组合知识的诊断和治疗策略设计。在 除了改变我们对AUD的理解，这项工作有可能彻底改变临床 研究和护理患有一系列脑部疾病的患者。

Understanding the brain processes underlying alcohol use and misuse are essential for the development of effective treatments for alcohol use disorder or AUD. Human brain imaging has greatly contributed to our current understanding of AUD, but much more remains to be understood. Most recently, human neuroscience has been transformed by the integration of network science and neuroimaging (now coined network neuroscience). Functional brain imaging is used to generate networks to examine interconnected groups of synchronized brain regions. The overarching hypothesis of this project is that brain synchronization is only half of the brain network story. This work asserts that functional brain networks actually have two critical sublayers. The first layer is the well-established network of synchronization that is identified using correlation methods, called the cooperative functional network (cFN). The second layer is a proposed network that resists synchronization and is called the impervious functional network (iFN). The iFN is essential for shifting synchronization within and between subnetworks to support shifts in cognitive demands. The two layers coexist in tension, each playing their own role to support stable, yet flexible, brain function. This project combines mathematical modeling and simulation with application of the methods to predict alcohol drinking behavior in National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) data set. Success of this project will demonstrate that both cFN and iFN are essential components of a more complete understanding of normal and abnormal brain function. There is a desperate need for a deeper understanding of alcohol use/misuse and for better diagnosis and treatment of AUD. Unfortunately, potential biomarkers and treatment trials targeting these conditions have continually failed. This project could have transformative potential as it brings forth a previously undiscovered organizational principle of the brain, and could lead to new diagnostic and therapeutic strategies designs based on the combined knowledge of the cFN and iFN. In addition to transforming our understanding of AUD, this work has the potential to revolutionize clinical studies and the care of patients with a range of brain disorders.