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Twin Modeling of Individual Symptoms of Depression and Generalized Anxiety: A Symptom Network Approach

抑郁症和广泛性焦虑个体症状的孪生模型：症状网络方法

基本信息

批准号：
10212917
负责人：
Carter Funkhouser
金额：
$ 3.52万
依托单位：
UNIVERSITY OF ILLINOIS AT CHICAGO
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-16 至 2022-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10212917
关键词：
Adult Anxiety Anxiety Disorders Area Behavior Complex Computer Analysis Computing Methodologies Data Depressed mood Depressive disorder Development Disease Distress Educational workshop Environment Environmental Risk Factor Etiology Fatigue Fellowship Generalized Anxiety Disorder Genetic Genetic Risk Genetic study Goals Impairment Individual Intervention Knowledge Laboratory Study Literature Maintenance Major Depressive Disorder Measures Mediating Mental Depression Mentorship Methods Modeling National Institute of Mental Health Neurosciences Pathway interactions Phenotype Prevention Proxy Psychiatric Diagnosis Psychopathology Psychoses Recurrence Research Research Personnel Risk Risk Factors Sampling Science Sex Differences Sleeplessness Source Substance Use Disorder Symptoms Testing Training Twin Multiple Birth Twin Studies United States National Institutes of Health Universities Virginia Visit Woman career causal model comorbidity cost depressive symptoms dual diagnosis generalized anxiety genetic risk factor genetic variant innovation large datasets meetings men network models novel pediatric trauma polygenic risk score psychogenetics risk sharing skills stressor theories

项目摘要

Project Summary/Abstract The goals of this fellowship are to further develop the applicant's knowledge and skills in advanced computational methods (i.e., twin modeling and network modeling), the comorbidity of Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD), and basic neuroscience and genetics. In line with these goals, a cornerstone of the applicant's training will be the statistical and theoretical training he receives through workshops, coursework, annual visits to Virginia Commonwealth University (VCU) to meet with Drs. Gillespie and Neale, regular sponsor and co-sponsor meetings, and professional development activities. The project will serve as the applicant's dissertation and help him pursue his goal of becoming an independent investigator who uses advanced computational analyses of large datasets and multi-method laboratory studies to study the etiology, maintenance, and recurrence of phenotypes of depression and anxiety. In addition to the skills to be gained by the applicant, the project's goals will greatly advance the understanding of MDD and GAD symptom etiology by testing the central tenet of a novel theory of psychopathology (network theory). Understanding the causes of symptoms and their covariance is critical, as different causal models have markedly different implications for intervention. Additionally, the study is consistent with the NIMH's strategic objective to define mechanisms of complex behaviors and NIH's increased emphasis on replicability. Several twin studies have estimated the genetic and environmental etiology of individual MDD symptoms. However, no studies have considered the possibility of causal relationships between symptoms as hypothesized by the network theory. The present study will therefore use a novel method - direction of causation (DoC) modeling - of twin data to (1) test putative causal relationships between individual MDD and GAD symptoms and estimate the contributions of genetics and environment to each symptom, (2) evaluate the replicability of the best fitting model in aim 1 in an independent twin sample, and (3) explore sex differences in the phenotypic causal pathways and genetic and environmental liabilities of each symptom. This project greatly extends prior studies of individual MDD symptoms by testing putatively causal pathways hypothesized by the network theory and including both MDD and GAD symptoms in the same model, which is important given their high comorbidity and potential causal relationships between symptoms of the two disorders. Mentorship for this project will be provided by experts in the areas of twin and DoC modeling, network theory and modeling, the comorbidity of depressive and anxiety disorders, and neuroscience (sponsors: Shankman, Gillespie, and Fried; OSCs: Neale, Roitman). This fellowship will not only be an important step in the applicant's research career, but the proposed study's primary objective of testing different causal models of symptom co-occurrence and quantifying the genetic and environmental contributions to each symptom will have important implications for the prevention and treatment of MDD and GAD symptoms and for theories of symptom etiology.

项目总结/文摘

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Childhood maltreatment predicts poorer executive functioning in adulthood beyond symptoms of internalizing psychopathology.

DOI：
10.1016/j.chiabu.2021.105140
发表时间：
2021-08
期刊：
Child abuse & neglect
影响因子：
4.8
作者：
Letkiewicz AM;Funkhouser CJ;Shankman SA
通讯作者：
Shankman SA

Associations Between Repetitive Negative Thinking and Habituation of Defensive Responding Within and Between Sessions.

重复的消极思维与会议内和会议之间的防御性反应习惯之间的关联。

DOI：
10.1007/s42761-022-00121-w
发表时间：
2022
期刊：
Affective science
影响因子：
0
作者：
Funkhouser,CarterJ;Katz,AndreaC;Meissel,EmilyEE;Stevens,ElizabethS;Weinberg,Anna;Nabb,CarverB;Shankman,StewartA
通讯作者：
Shankman,StewartA

Longitudinal Trajectories of Post-Stroke Depression Symptom Subgroups.

中风后抑郁症状亚组的纵向轨迹。

DOI：
10.1177/15459683221143464
发表时间：
2023
期刊：
Neurorehabilitation and neural repair
影响因子：
4.2
作者：
Ashaie,SameerA;Funkhouser,CarterJ;Jabbarinejad,Roxana;Cherney,LeoraR;Shankman,StewartA
通讯作者：
Shankman,StewartA

The impact of aversive context on early threat detection in trauma exposed individuals and associations with post-traumatic stress symptoms.

厌恶环境对创伤暴露个体早期威胁检测的影响以及与创伤后应激症状的关联。

DOI：
10.1016/j.jadr.2021.100193
发表时间：
2021
期刊：
Journal of affective disorders reports
影响因子：
0
作者：
Shenberger,ElyseR;Funkhouser,CarterJ;Boley,Randy;Zalta,AlysonK;Shankman,StewartA
通讯作者：
Shankman,StewartA

Evaluating the criterion validity of hierarchical psychopathology dimensions across models: Familial aggregation and associations with research domain criteria (sub)constructs.