中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Intervening on psychopathology networks: Evaluating intervention targets through simulations

文献类型:期刊论文

作者Lunansky, Gabriela4; Naberman, Jasper4; van Borkulo, Claudia D.3,4; Chen, Chen1,2; Wang, Li1,2; Borsboom, Denny4
刊名METHODS
出版日期2022-08-01
卷号204页码:29-37
ISSN号1046-2023
关键词Psychopathology Network analysis Dynamic systems Simulation study Interventions
DOI10.1016/j.ymeth.2021.11.006
通讯作者Lunansky, Gabriela(g.lunansky@uva.nl)
英文摘要Identifying the different influences of symptoms in dynamic psychopathology models may hold promise for increasing treatment efficacy in clinical applications. Dynamic psychopathology models study the behavioral patterns of symptom networks, where symptoms mutually enforce each other. Interventions could be tailored to specific symptoms that are most effective at lowering symptom activity or that hinder the further development of psychopathology. Simulating interventions in psychopathology network models fits in a novel tradition where symptom-specific perturbations are used as in silico interventions. Here, we present the NodeIdentifyR algorithm (NIRA) to identify the projected most efficient, symptom-specific intervention target in a network model (i.e., the Ising model). We implemented NIRA in a freely available R package. The technique studies the projected effects of symptom-specific interventions by simulating data while symptom parameters (i.e., thresholds) are systematically altered. The projected effect of these interventions is defined in terms of the expected change in overall symptom activity across simulations. With this algorithm, it is possible to study (1) whether symptoms differ in their projected influence on the behavior of the symptom network and, if so, (2) which symptom has the largest projected effect in lowering or increasing overall symptom activation. As an illustration, we apply the algorithm to an empirical dataset containing Post-Traumatic Stress Disorder symptom assessments of participants who experienced the Wenchuan earthquake in 2008. The most important limitations of the method are discussed, as well as recommendations for future research, such as shifting towards modeling individual processes to validate these types of simulation-based intervention methods.
收录类别SCI
WOS关键词DEPRESSION ; THERAPY ; EFFICACY
资助项目European Research Council[647209] ; Netherlands Organization for Scientific Research innovational research grant VENI[VI.Veni.201G.074] ; National Natural Science Foundation of China[31471004] ; National Natural Science Foundation of China[31971020] ; Key Project of the National Social Science Foundation of China[20ZDA079] ; Key Project of Research Base of Humanities and Social Sciences of Ministry of Education[16JJD190006]
WOS研究方向Biochemistry & Molecular Biology
语种英语
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
WOS记录号WOS:000809912400004
资助机构European Research Council ; Netherlands Organization for Scientific Research innovational research grant VENI ; National Natural Science Foundation of China ; Key Project of the National Social Science Foundation of China ; Key Project of Research Base of Humanities and Social Sciences of Ministry of Education
源URL[http://ir.psych.ac.cn/handle/311026/42806]  
专题心理研究所_中国科学院心理健康重点实验室
通讯作者Lunansky, Gabriela
作者单位1.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Psychol, Lab Traumat Stress Studies, CAS Key Lab Mental Hlth, Beijing, Peoples R China
3.Univ Amsterdam, Ctr Urban Mental Hlth, Amsterdam, Netherlands
4.Univ Amsterdam, Dept Psychol Methods, Amsterdam, Netherlands
推荐引用方式
GB/T 7714
Lunansky, Gabriela,Naberman, Jasper,van Borkulo, Claudia D.,et al. Intervening on psychopathology networks: Evaluating intervention targets through simulations[J]. METHODS,2022,204:29-37.
APA Lunansky, Gabriela,Naberman, Jasper,van Borkulo, Claudia D.,Chen, Chen,Wang, Li,&Borsboom, Denny.(2022).Intervening on psychopathology networks: Evaluating intervention targets through simulations.METHODS,204,29-37.
MLA Lunansky, Gabriela,et al."Intervening on psychopathology networks: Evaluating intervention targets through simulations".METHODS 204(2022):29-37.

入库方式: OAI收割

来源:心理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。