Project 1: Dynamic functional brain network phenotypes associated with vulnerability to hazardous alcohol consumption

项目1：与危险易感性相关的动态脑功能网络表型 饮酒 保罗·劳里恩蒂，科琳·汉伦，希瑟·沙佩尔，莫森·巴拉米 该项目是人类神经成像研究的继续，该研究检查了与 维克森林酒精转化研究中心(WF-TARC)的饮酒行为。最重要的是 这一建议的假设是，危险饮酒的脆弱性在动态网络中表现出来 默认模式网络(DMN)显著网络(SN)和感应器运动内部和之间的连通性 网络(SMN)。这一假说是基于越来越多的静息状态大脑网络研究表明 危险饮酒和AUD与DMN连接性降低和SN和 SMN连接。然而，需要对这三个内在大脑网络进行更多的研究，特别是 网络动态评估。本项目的主要目标是：(目标1和2)评估网络 与危险饮酒的发展相关的动力学和(目标3)确定非侵入性大脑 针对DMN中的一个节点--内侧前额叶皮质(MPFC)的刺激调制了该网络 动力学。为了实现这些目标，目前的研究将使用基于Hidden的高级定量分析 半马尔可夫建模(HsMM)和机器学习预测分析，以识别和表征 与危险饮酒易感性相关的脑功能网络动力学。《国家报》 青少年酒精与神经发育联合会(NCANDA)是一项纵向研究， 收集了4年来青少年的脑部成像和饮酒史。这件事- 确定的和公开可用的数据集将用于检查与以下相关的脑网络动力学 危险饮酒(目标1和2)。我们还将使用收集的去识别的纵向脑成像数据 AUD患者接受持续电刺激(TBS)或假刺激前后 对MPFC的治疗。这是确定内部和之间是否存在动态网络连通性的理想数据集 DMN、SN和SMN对非侵入性神经调节有反应。了解动态 这些电路内部和之间的互连可以指导未来的研究，旨在识别网络- 以治疗策略为基础。例如，对TBS交付或行为干预的新目标进行研究 依赖于特定电路可以利用关于基于 关于拟议研究的结果。

Project 1: Dynamic functional brain network phenotypes associated with vulnerability to hazardous alcohol consumption Paul Laurienti, Colleen Hanlon, Heather Shappell, Mohsen Bahrami This project is a continuation of the human neuroimaging studies examining brain networks associated with drinking behaviors in the Wake Forest Translational Alcohol Research Center (WF-TARC). The overarching hypothesis of this proposal that the vulnerability to develop hazardous drinking is manifest in dynamic network connectivity within and between the default mode network (DMN) salience network (SN) and the sensorimotor network (SMN). This hypothesis is based on a growing body of resting-state brain network studies suggesting that hazardous drinking and AUD are associated with decreased DMN connectivity and increased SN and SMN connectivity. However, much more research needed on these three intrinsic brain networks, particularly evaluation of network dynamics. The primary goals of this project are to: (Aims 1 & 2) evaluate the network dynamics associated with the development of hazardous drinking and (Aim 3) determine if non-invasive brain stimulation directed at the medial prefrontal cortex (MPFC), a node in the DMN, modulates the network dynamics. To achieve these goals the current study will use advanced quantitative analytics based on Hidden Semi-Markov Modeling (HSMM) and machine learning predictive analytics to identify and characterize functional brain network dynamics associated with vulnerability to developing hazardous drinking. The National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) is a longitudinal study that collected brain imaging and alcohol consumption history from adolescents over a 4-year period. This de- identified and publically available dataset will be used to examine brain network dynamics associated with hazardous drinking (Aims 1 and 2). We will also use de-identified longitudinal brain imaging data collected before and after individuals with AUD received a course of continuous theta burst stimulation (TBS) or sham treatment to the MPFC. This an ideal dataset to determine if dynamic network connectivity within and between the DMN, SN, and SMN is responsive to non-invasive neuromodulation. Understanding the dynamic interconnectivity within and between these circuits can guide future research designed to identify network- based treatment strategies. For example, research on new targets for TBS delivery or behavioral interventions that that rely on particular circuits can utilize information about individual dynamic connectivity profiles based on the outcomes of the proposed studies.