Cargando…

Structure and Connectivity of Depressive Symptom Networks Corresponding to Early Treatment Response

BACKGROUND: There are suggestions that denser network connectivity (i.e., the strength of associations between individual symptoms) may be a prognostic indicator of poor treatment response in depression. We sought to examine this aspect of depressive symptom networks in the context of early response...

Descripción completa

Detalles Bibliográficos
Autores principales: McElroy, Eoin, Napoleone, Elisa, Wolpert, Miranda, Patalay, Praveetha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6537518/
https://www.ncbi.nlm.nih.gov/pubmed/31193604
http://dx.doi.org/10.1016/j.eclinm.2019.02.009
_version_ 1783422030374240256
author McElroy, Eoin
Napoleone, Elisa
Wolpert, Miranda
Patalay, Praveetha
author_facet McElroy, Eoin
Napoleone, Elisa
Wolpert, Miranda
Patalay, Praveetha
author_sort McElroy, Eoin
collection PubMed
description BACKGROUND: There are suggestions that denser network connectivity (i.e., the strength of associations between individual symptoms) may be a prognostic indicator of poor treatment response in depression. We sought to examine this aspect of depressive symptom networks in the context of early responses to treatment in adolescents. METHODS: Routine psychiatric data were obtained for child/adolescent service users who underwent at least three treatment sessions in publicly funded services in England between 2011 and 2015 (N = 3017, 78% female; mean age [SD] = 14.43 years [1.75]). Depressive symptoms were assessed using the Revised Children's Anxiety and Depression Scale at presentation, and again after three treatment sessions. Treatment response was determined using the Reliable Change Index. Network analysis was used to compare the depressive symptom structure and connectivity of sub-samples who, after three treatment sessions had: 1) positively responded (n = 566), 2) not reliably changed (n = 2277), and 3) reliably deteriorated (n = 174), using matched samples to control for baseline severity. FINDINGS: Overall connectivity (i.e., the summed total of weighted connections) was significantly weaker for the positive treatment response group at baseline (compared with unchanged and deteriorated groups), however, this group saw the largest increase in connectivity over the course of treatment. With regard to the overall importance of specific symptoms within the networks, fatigue was highest in strength for the unchanged and deteriorated groups, whereas low mood was highest in strength for the improved group. INTERPRETATION: This study demonstrates that adolescents who respond early to treatment for depression are characterised by symptom networks that are less densely connected initially, yet increase in connectivity over the course of treatment. This may be indicative of ‘positive spirals’ whereby improvement in one symptom triggers improvements in other symptoms, thereby increasing symptom–symptom associations even as severity decreases. FUNDING: The study was supported by the Wellcome Trust grant 204366/Z/16/Z. The funders had no role in the study design, data collection, data analysis, interpretation, or writing of the report.
format Online
Article
Text
id pubmed-6537518
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-65375182019-05-29 Structure and Connectivity of Depressive Symptom Networks Corresponding to Early Treatment Response McElroy, Eoin Napoleone, Elisa Wolpert, Miranda Patalay, Praveetha EClinicalMedicine Research Paper BACKGROUND: There are suggestions that denser network connectivity (i.e., the strength of associations between individual symptoms) may be a prognostic indicator of poor treatment response in depression. We sought to examine this aspect of depressive symptom networks in the context of early responses to treatment in adolescents. METHODS: Routine psychiatric data were obtained for child/adolescent service users who underwent at least three treatment sessions in publicly funded services in England between 2011 and 2015 (N = 3017, 78% female; mean age [SD] = 14.43 years [1.75]). Depressive symptoms were assessed using the Revised Children's Anxiety and Depression Scale at presentation, and again after three treatment sessions. Treatment response was determined using the Reliable Change Index. Network analysis was used to compare the depressive symptom structure and connectivity of sub-samples who, after three treatment sessions had: 1) positively responded (n = 566), 2) not reliably changed (n = 2277), and 3) reliably deteriorated (n = 174), using matched samples to control for baseline severity. FINDINGS: Overall connectivity (i.e., the summed total of weighted connections) was significantly weaker for the positive treatment response group at baseline (compared with unchanged and deteriorated groups), however, this group saw the largest increase in connectivity over the course of treatment. With regard to the overall importance of specific symptoms within the networks, fatigue was highest in strength for the unchanged and deteriorated groups, whereas low mood was highest in strength for the improved group. INTERPRETATION: This study demonstrates that adolescents who respond early to treatment for depression are characterised by symptom networks that are less densely connected initially, yet increase in connectivity over the course of treatment. This may be indicative of ‘positive spirals’ whereby improvement in one symptom triggers improvements in other symptoms, thereby increasing symptom–symptom associations even as severity decreases. FUNDING: The study was supported by the Wellcome Trust grant 204366/Z/16/Z. The funders had no role in the study design, data collection, data analysis, interpretation, or writing of the report. Elsevier 2019-03-14 /pmc/articles/PMC6537518/ /pubmed/31193604 http://dx.doi.org/10.1016/j.eclinm.2019.02.009 Text en © 2019 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
McElroy, Eoin
Napoleone, Elisa
Wolpert, Miranda
Patalay, Praveetha
Structure and Connectivity of Depressive Symptom Networks Corresponding to Early Treatment Response
title Structure and Connectivity of Depressive Symptom Networks Corresponding to Early Treatment Response
title_full Structure and Connectivity of Depressive Symptom Networks Corresponding to Early Treatment Response
title_fullStr Structure and Connectivity of Depressive Symptom Networks Corresponding to Early Treatment Response
title_full_unstemmed Structure and Connectivity of Depressive Symptom Networks Corresponding to Early Treatment Response
title_short Structure and Connectivity of Depressive Symptom Networks Corresponding to Early Treatment Response
title_sort structure and connectivity of depressive symptom networks corresponding to early treatment response
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6537518/
https://www.ncbi.nlm.nih.gov/pubmed/31193604
http://dx.doi.org/10.1016/j.eclinm.2019.02.009
work_keys_str_mv AT mcelroyeoin structureandconnectivityofdepressivesymptomnetworkscorrespondingtoearlytreatmentresponse
AT napoleoneelisa structureandconnectivityofdepressivesymptomnetworkscorrespondingtoearlytreatmentresponse
AT wolpertmiranda structureandconnectivityofdepressivesymptomnetworkscorrespondingtoearlytreatmentresponse
AT patalaypraveetha structureandconnectivityofdepressivesymptomnetworkscorrespondingtoearlytreatmentresponse