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Anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study
BACKGROUND: As complex dynamic systems approach a transition, their dynamics change. This process, called critical slowing down (CSD), may precede transitions in psychopathology as well. This study investigated whether CSD may also indicate the direction of future symptom transitions, i.e., whether...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781362/ https://www.ncbi.nlm.nih.gov/pubmed/35062917 http://dx.doi.org/10.1186/s12888-022-03686-9 |
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author | Schreuder, Marieke J. Wigman, Johanna T. W. Groen, Robin N. Weinans, Els Wichers, Marieke Hartman, Catharina A. |
author_facet | Schreuder, Marieke J. Wigman, Johanna T. W. Groen, Robin N. Weinans, Els Wichers, Marieke Hartman, Catharina A. |
author_sort | Schreuder, Marieke J. |
collection | PubMed |
description | BACKGROUND: As complex dynamic systems approach a transition, their dynamics change. This process, called critical slowing down (CSD), may precede transitions in psychopathology as well. This study investigated whether CSD may also indicate the direction of future symptom transitions, i.e., whether they involve an increase or decrease in symptoms. METHODS: In study 1, a patient with a history of major depression monitored their mental states ten times a day for almost eight months. Study 2 used data from the TRAILS TRANS-ID study, where 122 young adults at increased risk of psychopathology (mean age 23.64±0.67 years, 56.6% males) monitored their mental states daily for six consecutive months. Symptom transitions were inferred from semi-structured diagnostic interviews. In both studies, CSD direction was estimated using moving-window principal component analyses. RESULTS: In study 1, CSD was directed towards an increase in negative mental states. In study 2, the CSD direction matched the direction of symptom shifts in 34 individuals. The accuracy of the indicator was higher in subsets of individuals with larger absolute symptom transitions. The indicator’s accuracy exceeded chance levels in sensitivity analyses (accuracy 22.92% vs. 11.76%, z=-2.04, P=.02) but not in main analyses (accuracy 27.87% vs. 20.63%, z=-1.32, P=.09). CONCLUSIONS: The CSD direction may predict whether upcoming symptom transitions involve remission or worsening. However, this may only hold for specific individuals, namely those with large symptom transitions. Future research is needed to replicate these findings and to delineate for whom CSD reliably forecasts the direction of impending symptom transitions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03686-9. |
format | Online Article Text |
id | pubmed-8781362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87813622022-01-24 Anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study Schreuder, Marieke J. Wigman, Johanna T. W. Groen, Robin N. Weinans, Els Wichers, Marieke Hartman, Catharina A. BMC Psychiatry Research Article BACKGROUND: As complex dynamic systems approach a transition, their dynamics change. This process, called critical slowing down (CSD), may precede transitions in psychopathology as well. This study investigated whether CSD may also indicate the direction of future symptom transitions, i.e., whether they involve an increase or decrease in symptoms. METHODS: In study 1, a patient with a history of major depression monitored their mental states ten times a day for almost eight months. Study 2 used data from the TRAILS TRANS-ID study, where 122 young adults at increased risk of psychopathology (mean age 23.64±0.67 years, 56.6% males) monitored their mental states daily for six consecutive months. Symptom transitions were inferred from semi-structured diagnostic interviews. In both studies, CSD direction was estimated using moving-window principal component analyses. RESULTS: In study 1, CSD was directed towards an increase in negative mental states. In study 2, the CSD direction matched the direction of symptom shifts in 34 individuals. The accuracy of the indicator was higher in subsets of individuals with larger absolute symptom transitions. The indicator’s accuracy exceeded chance levels in sensitivity analyses (accuracy 22.92% vs. 11.76%, z=-2.04, P=.02) but not in main analyses (accuracy 27.87% vs. 20.63%, z=-1.32, P=.09). CONCLUSIONS: The CSD direction may predict whether upcoming symptom transitions involve remission or worsening. However, this may only hold for specific individuals, namely those with large symptom transitions. Future research is needed to replicate these findings and to delineate for whom CSD reliably forecasts the direction of impending symptom transitions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03686-9. BioMed Central 2022-01-21 /pmc/articles/PMC8781362/ /pubmed/35062917 http://dx.doi.org/10.1186/s12888-022-03686-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Schreuder, Marieke J. Wigman, Johanna T. W. Groen, Robin N. Weinans, Els Wichers, Marieke Hartman, Catharina A. Anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study |
title | Anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study |
title_full | Anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study |
title_fullStr | Anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study |
title_full_unstemmed | Anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study |
title_short | Anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study |
title_sort | anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781362/ https://www.ncbi.nlm.nih.gov/pubmed/35062917 http://dx.doi.org/10.1186/s12888-022-03686-9 |
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