Network Psychiatry: Using Network Science to Advance Our Understanding of Post-Bereavement Psychopathology

网络精神病学：利用网络科学来增进我们对丧亲后精神病理学的理解

基本信息

批准号：
10438647
负责人：
Donald John Robinaugh
金额：
$ 18.65万
依托单位：
NORTHEASTERN UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-01 至 2023-10-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10438647
关键词：
Adopted Adult Area Behavioral Bereavement Biological Cessation of life Clinical Cognitive Complex Data Development Disease Ecological momentary assessment Elements Etiology Exhibits Feedback Feeling suicidal Foundations Future Galvanic Skin Response Grant Grief reaction Impairment Individual Individual Differences Intervention K-Series Research Career Programs Lead Link Loudness Measures Medicine Mental disorders Methods Molecular Morbidity - disease rate Nature Network-based Neurobiology Pathway Analysis Patients Physics Physiological Plant Roots Process Psychiatry Psychopathology Psychophysiology Reporting Research Research Domain Criteria Research Personnel Rest Risk Science Series Severities Sinus Arrhythmia Social support Structure Symptoms Syndrome System Thinking Time Training Treatment outcome United States career density experience follow up assessment follow-up individual patient infancy innovation loved ones mortality multidisciplinary novel personalized medicine precision medicine prevent prospective psychobiologic psychosocial research study respiratory response stressor suicidal behavior tool wearable device

项目摘要

ABSTRACT Bereavement is a potent and ubiquitous stressor. More than 10 million individuals experience the death a loved one each year in the United States, increasing risk for numerous psychiatric disorders, including complicated grief. Despite the substantial burden conferred by these disorders, we know little about their nature and etiology and, consequently, are limited in our ability to predict, prevent, and treat post-bereavement psychopathology. Recently, my colleagues and I proposed that bereavement-related mental disorders, such as complicated grief, are best understood as complex systems of mutually reinforcing symptoms. In two studies, we used the tools of network science to study the structure of the complicated grief symptom network. These studies allowed us to identify which symptoms are most central to the complicated grief network and provided some of the earliest evidence that understanding network topology can inform our understanding of the course of complicated grief. My core aim for this career development award is to become an expert in network science and to use the tools of network science to study complicated grief as a complex psychobiological system. The proposed research study will build on our previous research through four critical innovations. First, we will use intensive time-series data to estimate the intra-individual network structure for each patient, providing information about the unique psychobiological processes operating within that individual. Second, we will focus our analyses on the elements of the complicated grief syndrome that align with bereavement-related Research Domain Criteria (RDoC) constructs, linking our analyses to the broader effort to understand these individual components of psychopathology. Third, we will incorporate biological units of analysis into our intra-individual network and study how individual differences in physiological reactivity contribute to the complicated grief syndrome. Fourth, we will use intra-individual network parameters to predict the course of complicated grief over time. The approach taken in this study is innovative because it adopts a novel conceptual framework for understanding and studying psychiatric disorders that is rooted in the rapidly growing multi-disciplinary field of network science. It is significant because it will elucidate the patient-specific psychobiological mechanisms contributing to the development and onset of bereavement-related mental disorders. Moreover, it will introduce new tools into the field of psychiatry that will allow us to better predict, prevent, and treat psychopathology at the level of the individual patient, moving us closer to the aim of a precision medicine approach to psychiatry.

抽象的丧亲是一种有效且无处不在的压力源。超过1000万个人经历了被爱的死亡在美国，每年都有一个，增加了许多精神疾病的风险，包括复杂悲伤。尽管这些疾病赋予了巨大的负担，但我们对它们的本质和病因一无所知因此，我们预测，预防和治疗过渡后的心理病理学的能力受到限制。最近，我和我的同事们提出，与丧亲有关的精神障碍，例如复杂的悲伤，最好理解为相互加强症状的复杂系统。在两项研究中，我们使用了网络科学研究复杂的悲伤症状网络的结构。这些研究使我们得以确定哪些症状是复杂的悲伤网络最重要的，并提供了一些最早的症状了解网络拓扑可以使我们对复杂悲伤进程的理解的证据。我获得职业发展奖的核心目标是成为网络科学专家并使用网络科学的工具将复杂的悲伤作为复杂的心理生物学系统。提议研究将通过我们以前的研究通过四项关键创新为基础。首先，我们将使用密集型时间序列数据以估算每个患者的个体内网络结构，提供有关该人在该人中运作的独特心理生物学过程。其次，我们将重点放在与丧亲相关的研究领域标准一致的复杂悲伤综合征的元素（RDOC）结构，将我们的分析与更广泛的努力联系起来，以了解这些个人组成部分心理病理学。第三，我们将将分析的生物学单位纳入我们的个体内网络，并且研究生理反应性的个体差异如何导致复杂的悲伤综合征。第四，我们将使用个体内网络参数来预测随着时间的流逝的复杂悲伤。这项研究中采用的方法是创新的，因为它采用了一个新颖的概念框架理解和研究植根于快速增长的多学科领域的精神疾病网络科学。这很重要，因为它将阐明患者特定的心理生物学机制有助于丧亲相关的精神障碍的发展和发作。而且，它将介绍进入精神病学领域的新工具将使我们能够更好地预测，预防和治疗心理病理学个体患者的水平，使我们更接近精神病学的精神医学方法。

项目成果

期刊论文数量（25）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Invisible Hands and Fine Calipers: A Call to Use Formal Theory as a Toolkit for Theory Construction.

DOI：
10.1177/1745691620974697
发表时间：
2021-07
期刊：
Perspectives on psychological science : a journal of the Association for Psychological Science
影响因子：
0
作者：
Robinaugh DJ;Haslbeck JMB;Ryan O;Fried EI;Waldorp LJ
通讯作者：
Waldorp LJ

Modeling psychopathology: From data models to formal theories.

DOI：
10.1037/met0000303
发表时间：
2022-12
期刊：
PSYCHOLOGICAL METHODS
影响因子：
7
作者：
Haslbeck, Jonas M B;Ryan, Oisin;Robinaugh, Donald J;Waldorp, Lourens J;Borsboom, Denny
通讯作者：
Borsboom, Denny

On the Control of Psychological Networks.

DOI：
10.1007/s11336-021-09796-9
发表时间：
2022-03
期刊：
PSYCHOMETRIKA
影响因子：
3
作者：
Henry, Teague R.;Robinaugh, Donald J.;Fried, Eiko, I
通讯作者：
Fried, Eiko, I

Understanding the impact of complicated grief on combat related posttraumatic stress disorder, guilt, suicide, and functional impairment in a clinical trial of post-9/11 service members and veterans.

在一项针对 9/11 后服役人员和退伍军人的临床试验中，了解复杂的悲伤对与战斗相关的创伤后应激障碍、内疚、自杀和功能障碍的影响。

DOI：
10.1002/da.22911
发表时间：
2020
期刊：
Depression and anxiety
影响因子：
7.4
作者：
Simon,NaomiM;Hoeppner,SusanneS;Lubin,RebeccaE;Robinaugh,DonaldJ;Malgaroli,Matteo;Norman,SonyaB;Acierno,Ron;Goetter,ElizabethM;Hellberg,SamanthaN;Charney,MeredithE;Bui,Eric;Baker,AmandaW;Smith,Erin;Kim,HMyra;Rauch,She
通讯作者：
Rauch,She

Towards a general modeling framework of resource competition in cognitive development.

走向认知发展中资源竞争的通用建模框架。