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

项目 1：与危险酒精消费脆弱性相关的动态功能性大脑网络表型

• 批准号: 10526643
• 负责人: Paul Laurienti
• 金额: $ 30.14万
• 依托单位: WAKE FOREST UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-12-10 至 2027-11-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10526643
• 关键词: Adolescence; Adolescent; Alcohol consumption; Alcohols; American; Back; Behavior Therapy; Behavioral; Biological Markers; Brain; Brain imaging; Cessation of life; Data; Data Collection; Data Set; Development; Diagnostic; Disease; Elderly; Evaluation; Future; Genetic; Goals; Human; Individual; Interdisciplinary Study; Intervention; Knowledge; Life; Longitudinal Studies; Machine Learning; Medial; Network-based; Neurobiology; Outcome; Pathway Analysis; Patients; Phenotype; Placebos; Positioning Attribute; Pre-Clinical Model; Predictive Analytics; Prefrontal Cortex; Probability; Recording of previous events; Research; Research Design; Rest; Rodent; Slide; Study models; Therapeutic; Time; Transcranial magnetic stimulation; Translating; United States; alcohol misuse; alcohol research; alcohol use disorder; brain based; drinking; drinking behavior; emerging adult; experience; forest; hazardous drinking; interest; learned behavior; longitudinal dataset; machine learning prediction; markov model; neural; neural circuit; neurodevelopment; neuroimaging; neuroregulation; noninvasive brain stimulation; premature; prognostic assays; resilience; treatment strategy

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.

项目1：动态功能性脑网络网络表型与危险的脆弱性相关 饮酒 Paul Laurienti，Colleen Hanlon，Heather Shappell，Mohsen Bahrami 该项目是人类神经影像学研究的延续，研究了与 Wake Forest转化酒精研究中心（WF-TARC）中的饮酒行为。总体 该提议的假设是，发展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）显着网络（SN）和感觉运动的连接性 网络（SMN）。该假设基于越来越多的静止状态大脑网络研究表明 危险的饮酒和AUD与DMN连接性降低以及SN的增加有关 SMN连接性。但是，这三个内在的大脑网络需要更多的研究，尤其是 网络动态评估。该项目的主要目标是：（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）确定非侵入性大脑是否 刺激针对内侧前额叶皮层（MPFC），DMN中的节点调节网络 动力学。为了实现这些目标，当前的研究将使用基于隐藏的高级定量分析 半马尔可夫建模（HSMM）和机器学习预测分析，以识别和表征 功能性的大脑网络动态与易受危险饮酒的脆弱性有关。国民 青春期酒精和神经发育联盟（NCANDA）是一项纵向研究， 在4年的时间内，从青少年收集了大脑成像和饮酒历史。这个 已识别和公开可用的数据集将用于检查与 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 在患有AUD的人之前和之后接受了连续的theta爆发刺激（TBS）或假 对MPFC的治疗。这是确定动态网络连接是否内部和之间的理想数据集 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之间的互连性可以指导旨在识别网络的未来研究 - 基于治疗策略。例如，研究针对TB的新目标或行为干预措施 依靠特定电路的可以利用有关基于个体动态连接配置文件的信息 关于拟议研究的结果。