A Dynamical Systems View of Psychiatric Disorders—Theory

精神科 心理学 医学
作者
Marten Scheffer,Claudi Bockting,Denny Borsboom,Roshan Cools,Clara Delecroix,Jessica A. Hartmann,Kenneth S. Kendler,Ingrid van de Leemput,Han L. J. van der Maas,Egbert H. van Nes,Mark P. Mattson,Pat McGorry,Barnaby Nelson
出处
期刊:JAMA Psychiatry [American Medical Association]
标识
DOI:10.1001/jamapsychiatry.2024.0215
摘要

Psychiatric disorders may come and go with symptoms changing over a lifetime. This suggests the need for a paradigm shift in diagnosis and treatment. Here we present a fresh look inspired by dynamical systems theory. This theory is used widely to explain tipping points, cycles, and chaos in complex systems ranging from the climate to ecosystems.In the dynamical systems view, we propose the healthy state has a basin of attraction representing its resilience, while disorders are alternative attractors in which the system can become trapped. Rather than an immutable trait, resilience in this approach is a dynamical property. Recent work has demonstrated the universality of generic dynamical indicators of resilience that are now employed globally to monitor the risks of collapse of complex systems, such as tropical rainforests and tipping elements of the climate system. Other dynamical systems tools are used in ecology and climate science to infer causality from time series. Moreover, experiences in ecological restoration confirm the theoretical prediction that under some conditions, short interventions may invoke long-term success when they flip the system into an alternative basin of attraction. All this implies practical applications for psychiatry, as are discussed in part 2 of this article.Work in the field of dynamical systems points to novel ways of inferring causality and quantifying resilience from time series. Those approaches have now been tried and tested in a range of complex systems. The same tools may help monitoring and managing resilience of the healthy state as well as psychiatric disorders.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
楠D发布了新的文献求助10
刚刚
刚刚
orixero应助无限不正采纳,获得10
1秒前
wos完成签到,获得积分10
1秒前
2秒前
研友_ana完成签到,获得积分10
3秒前
3秒前
4秒前
wos发布了新的文献求助10
4秒前
hh完成签到 ,获得积分20
6秒前
皇甫晓槐发布了新的文献求助10
6秒前
Hao应助mmcmc采纳,获得10
7秒前
ZJin发布了新的文献求助10
8秒前
李健应助勤恳的一斩采纳,获得10
9秒前
斯文败类应助行简采纳,获得10
9秒前
伯爵完成签到 ,获得积分10
9秒前
科研通AI2S应助腾桑采纳,获得10
9秒前
我是老大应助liu采纳,获得10
9秒前
10秒前
ConanCR7发布了新的文献求助10
10秒前
丘比特应助石大头采纳,获得10
11秒前
愤怒的琦完成签到,获得积分10
12秒前
无限不正完成签到,获得积分10
12秒前
13秒前
14秒前
无限不正发布了新的文献求助10
17秒前
17秒前
18秒前
明亮不乐完成签到,获得积分10
18秒前
子非鱼丶完成签到,获得积分10
18秒前
温医第一打野完成签到,获得积分10
18秒前
19秒前
辞清完成签到 ,获得积分10
20秒前
Akim应助gg2002采纳,获得10
21秒前
JamesPei应助luo采纳,获得30
21秒前
yjy发布了新的文献求助10
21秒前
22秒前
23秒前
WASD完成签到,获得积分10
23秒前
俊逸的可乐完成签到 ,获得积分10
24秒前
高分求助中
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
comprehensive molecular insect science 1000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Challenges, Strategies, and Resiliency in Disaster and Risk Management 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2481528
求助须知:如何正确求助?哪些是违规求助? 2144233
关于积分的说明 5468925
捐赠科研通 1866744
什么是DOI,文献DOI怎么找? 927751
版权声明 563039
科研通“疑难数据库(出版商)”最低求助积分说明 496382