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.

抽象的丧亲之痛是一种强大而普遍的压力源。超过 1000 万人经历了所爱之人的死亡在美国每年都会发生一次，增加了许多精神疾病的风险，包括复杂的精神疾病悲伤。尽管这些疾病造成了巨大的负担，但我们对其性质和病因知之甚少因此，我们预测、预防和治疗丧亲后精神病理学的能力受到限制。最近，我和我的同事提出，与丧亲之痛有关的精神障碍，例如复杂的悲伤，最好将其理解为相互强化的症状的复杂系统。在两项研究中，我们使用了以下工具：网络科学研究复杂的悲伤症状网络的结构。这些研究使我们能够确定哪些症状对复杂的悲伤网络最为核心，并提供一些最早的症状有证据表明，了解网络拓扑可以帮助我们理解复杂悲伤的过程。我获得这个职业发展奖的核心目标是成为网络科学领域的专家并利用网络科学工具来研究复杂的悲伤作为一个复杂的心理生物学系统。拟议的研究将通过四项关键创新建立在我们之前的研究基础上。首先，我们将使用密集时间序列数据来估计每个患者的个体内部网络结构，提供有关该个体体内独特的心理生物学过程。其次，我们重点分析符合丧亲之痛相关研究领域标准的复杂悲伤综合症的要素（RDoC）构建，将我们的分析与更广泛的努力联系起来，以理解这些单独的组成部分精神病理学。第三，我们将把生物分析单位纳入我们的个体内网络，研究生理反应的个体差异如何导致复杂的悲伤综合症。第四，我们将使用个体内网络参数来预测随着时间的推移复杂悲伤的过程。本研究采用的方法是创新的，因为它采用了新颖的概念框架理解和研究植根于快速发展的多学科领域的精神疾病网络科学。它很重要，因为它将阐明患者特定的心理生物学机制导致与丧亲之痛相关的精神障碍的发生和发生。此外，还将介绍精神病学领域的新工具将使我们能够更好地预测、预防和治疗精神病理学个体患者的水平，使我们更接近精神病学精准医学方法的目标。

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。