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 |
DOI | 10.1016/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
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