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The temporal dynamics of symptoms during exposure therapies of PTSD: a network approach
Background: Analysis of dynamic (temporal) networks allows an identification of important targets of treatment. Objective: This study examined the dynamic network of symptoms in patients diagnosed with post-traumatic stress disorder (PTSD) during exposure therapy. Method: Patients (n = 65) were rand...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566586/ https://www.ncbi.nlm.nih.gov/pubmed/31231478 http://dx.doi.org/10.1080/20008198.2019.1618134 |
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author | Hoffart, Asle Langkaas, Tomas Formo Øktedalen, Tuva Johnson, Sverre Urnes |
author_facet | Hoffart, Asle Langkaas, Tomas Formo Øktedalen, Tuva Johnson, Sverre Urnes |
author_sort | Hoffart, Asle |
collection | PubMed |
description | Background: Analysis of dynamic (temporal) networks allows an identification of important targets of treatment. Objective: This study examined the dynamic network of symptoms in patients diagnosed with post-traumatic stress disorder (PTSD) during exposure therapy. Method: Patients (n = 65) were randomized to either standard prolonged exposure, which includes imaginal exposure to the traumatic memory, or modified prolonged exposure, where imagery re-scripting of the memory replaced imaginal exposure, in a 10-week residential program. They completed a measure of DSM-IV PTSD symptoms weekly. The multilevel vector autoregressive (mlVAR) model was used to analyse the data, producing a temporal (dynamic), contemporaneous, and between-person network. Results: Physiological reactivity to reminders in a given week was positively related to distress reactivity and to flashbacks the subsequent week. Hypervigilance one week was positively related to startle response and external avoidance the subsequent week. In addition, sleep problems were positively predicted by previous week internal avoidance and negatively predicted by previous week flashbacks. Hypervigilance and physiological reactivation had the highest out-strength, indicating that they were the most predictive of other symptoms. Conclusions: The present within-person results make a preliminaryrect basis for the recommendation to monitor and facilitate change in physiological reactivation and hypervigilance in the treatment of PTSD. Future studies should examine the replicability of our temporal PTSD network and also include causal variables beyond symptoms. |
format | Online Article Text |
id | pubmed-6566586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-65665862019-06-21 The temporal dynamics of symptoms during exposure therapies of PTSD: a network approach Hoffart, Asle Langkaas, Tomas Formo Øktedalen, Tuva Johnson, Sverre Urnes Eur J Psychotraumatol Clinical Research Article Background: Analysis of dynamic (temporal) networks allows an identification of important targets of treatment. Objective: This study examined the dynamic network of symptoms in patients diagnosed with post-traumatic stress disorder (PTSD) during exposure therapy. Method: Patients (n = 65) were randomized to either standard prolonged exposure, which includes imaginal exposure to the traumatic memory, or modified prolonged exposure, where imagery re-scripting of the memory replaced imaginal exposure, in a 10-week residential program. They completed a measure of DSM-IV PTSD symptoms weekly. The multilevel vector autoregressive (mlVAR) model was used to analyse the data, producing a temporal (dynamic), contemporaneous, and between-person network. Results: Physiological reactivity to reminders in a given week was positively related to distress reactivity and to flashbacks the subsequent week. Hypervigilance one week was positively related to startle response and external avoidance the subsequent week. In addition, sleep problems were positively predicted by previous week internal avoidance and negatively predicted by previous week flashbacks. Hypervigilance and physiological reactivation had the highest out-strength, indicating that they were the most predictive of other symptoms. Conclusions: The present within-person results make a preliminaryrect basis for the recommendation to monitor and facilitate change in physiological reactivation and hypervigilance in the treatment of PTSD. Future studies should examine the replicability of our temporal PTSD network and also include causal variables beyond symptoms. Taylor & Francis 2019-06-03 /pmc/articles/PMC6566586/ /pubmed/31231478 http://dx.doi.org/10.1080/20008198.2019.1618134 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Research Article Hoffart, Asle Langkaas, Tomas Formo Øktedalen, Tuva Johnson, Sverre Urnes The temporal dynamics of symptoms during exposure therapies of PTSD: a network approach |
title | The temporal dynamics of symptoms during exposure therapies of PTSD: a network approach |
title_full | The temporal dynamics of symptoms during exposure therapies of PTSD: a network approach |
title_fullStr | The temporal dynamics of symptoms during exposure therapies of PTSD: a network approach |
title_full_unstemmed | The temporal dynamics of symptoms during exposure therapies of PTSD: a network approach |
title_short | The temporal dynamics of symptoms during exposure therapies of PTSD: a network approach |
title_sort | temporal dynamics of symptoms during exposure therapies of ptsd: a network approach |
topic | Clinical Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566586/ https://www.ncbi.nlm.nih.gov/pubmed/31231478 http://dx.doi.org/10.1080/20008198.2019.1618134 |
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