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PTSD symptomics: network analyses in the field of psychotraumatology

Recent years have seen increasing attention on posttraumatic stress disorder (PTSD) research. While research has largely focused on the dichotomy between patients diagnosed with mental disorders and healthy controls — in other words, investigations at the level of diagnoses — recent work has focused...

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Detalles Bibliográficos
Autores principales: Armour, Cherie, Fried, Eiko I., Olff, Miranda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727451/
https://www.ncbi.nlm.nih.gov/pubmed/29250305
http://dx.doi.org/10.1080/20008198.2017.1398003
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author Armour, Cherie
Fried, Eiko I.
Olff, Miranda
author_facet Armour, Cherie
Fried, Eiko I.
Olff, Miranda
author_sort Armour, Cherie
collection PubMed
description Recent years have seen increasing attention on posttraumatic stress disorder (PTSD) research. While research has largely focused on the dichotomy between patients diagnosed with mental disorders and healthy controls — in other words, investigations at the level of diagnoses — recent work has focused on psychopathology symptoms. Symptomics research in the area of PTSD has been scarce so far, although several studies have focused on investigating the network structures of PTSD symptoms. The present special issue of EJPT adds to the literature by curating additional PTSD network studies, each looking at a different aspect of PTSD. We hope that this special issue encourages researchers to conceptualize and model PTSD data from a network perspective, which arguably has the potential to inform and improve the efficacy of therapeutic interventions.
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spelling pubmed-57274512017-12-15 PTSD symptomics: network analyses in the field of psychotraumatology Armour, Cherie Fried, Eiko I. Olff, Miranda Eur J Psychotraumatol Editorial Recent years have seen increasing attention on posttraumatic stress disorder (PTSD) research. While research has largely focused on the dichotomy between patients diagnosed with mental disorders and healthy controls — in other words, investigations at the level of diagnoses — recent work has focused on psychopathology symptoms. Symptomics research in the area of PTSD has been scarce so far, although several studies have focused on investigating the network structures of PTSD symptoms. The present special issue of EJPT adds to the literature by curating additional PTSD network studies, each looking at a different aspect of PTSD. We hope that this special issue encourages researchers to conceptualize and model PTSD data from a network perspective, which arguably has the potential to inform and improve the efficacy of therapeutic interventions. Taylor & Francis 2017-12-08 /pmc/articles/PMC5727451/ /pubmed/29250305 http://dx.doi.org/10.1080/20008198.2017.1398003 Text en © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Editorial
Armour, Cherie
Fried, Eiko I.
Olff, Miranda
PTSD symptomics: network analyses in the field of psychotraumatology
title PTSD symptomics: network analyses in the field of psychotraumatology
title_full PTSD symptomics: network analyses in the field of psychotraumatology
title_fullStr PTSD symptomics: network analyses in the field of psychotraumatology
title_full_unstemmed PTSD symptomics: network analyses in the field of psychotraumatology
title_short PTSD symptomics: network analyses in the field of psychotraumatology
title_sort ptsd symptomics: network analyses in the field of psychotraumatology
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727451/
https://www.ncbi.nlm.nih.gov/pubmed/29250305
http://dx.doi.org/10.1080/20008198.2017.1398003
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