Trace of depression: Network structure of depressive symptoms in different clinical conditions
Abstract Background Psychopathological network model has received attention recently in the traditional debate about the continuity of depression. However, there is little evidence for comparing the network structure of depressive symptoms in several depressive states at different clinical stages....
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2022-01-01
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| Series: | European Psychiatry |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933822000128/type/journal_article |
| _version_ | 1811156351670288384 |
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| author | Satoshi Yokoyama Go Okada Koki Takagaki Eri Itai Kohei Kambara Yuki Mitsuyama Hotaka Shinzato Yoshikazu Masuda Ran Jinnin Yasumasa Okamoto |
| author_facet | Satoshi Yokoyama Go Okada Koki Takagaki Eri Itai Kohei Kambara Yuki Mitsuyama Hotaka Shinzato Yoshikazu Masuda Ran Jinnin Yasumasa Okamoto |
| author_sort | Satoshi Yokoyama |
| collection | DOAJ |
| description |
Abstract
Background
Psychopathological network model has received attention recently in the traditional debate about the continuity of depression. However, there is little evidence for comparing the network structure of depressive symptoms in several depressive states at different clinical stages. Through this study of a broad sample of patients with nonclinical to clinical depression, we examined differences in the network structure of depressive symptoms.
Methods
Four groups of participants, including cohorts of clinical depression (current depression, n = 294; remitted depression, n = 118) and nonclinical depression (subthreshold depression, N = 184; healthy control, n = 257), responded to Beck Depression Inventory-II (BDI-II). After adjusting for age and sex, the residual scores of the 21 BDI-II items were input into a regularized partial correlation network for each group. Then, the estimated edge strengths/densities and node characteristics were compared.
Results
Current depression has a discontinuous structure with a stronger and denser network of symptoms compared with nonclinical groups. Interestingly, remitted depression had improved to the level in healthy controls; however, it retained the same network structure as current depression, which indicates a trace of depression.
Conclusions
We found the traces of depression that remained even after the symptoms disappeared. This study might provide a novel framework for elucidating the development and formation of depression.
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| first_indexed | 2024-04-10T04:49:00Z |
| format | Article |
| id | doaj.art-15c67bc7289e49d283e658a88ba40a09 |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-04-10T04:49:00Z |
| publishDate | 2022-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-15c67bc7289e49d283e658a88ba40a092023-03-09T12:33:56ZengCambridge University PressEuropean Psychiatry0924-93381778-35852022-01-016510.1192/j.eurpsy.2022.12Trace of depression: Network structure of depressive symptoms in different clinical conditionsSatoshi Yokoyama0https://orcid.org/0000-0002-1309-1103Go Okada1https://orcid.org/0000-0002-5451-8513Koki Takagaki2Eri Itai3Kohei Kambara4https://orcid.org/0000-0003-0874-8606Yuki Mitsuyama5https://orcid.org/0000-0001-8419-564XHotaka Shinzato6https://orcid.org/0000-0002-0354-1801Yoshikazu Masuda7Ran Jinnin8https://orcid.org/0000-0002-2520-1285Yasumasa Okamoto9Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, JapanDepartment of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, JapanHealth Service Center, Hiroshima University, Hiroshima, JapanDepartment of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, JapanGraduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, JapanDepartment of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, JapanDepartment of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, JapanDepartment of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, JapanDepartment of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, JapanDepartment of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan Abstract Background Psychopathological network model has received attention recently in the traditional debate about the continuity of depression. However, there is little evidence for comparing the network structure of depressive symptoms in several depressive states at different clinical stages. Through this study of a broad sample of patients with nonclinical to clinical depression, we examined differences in the network structure of depressive symptoms. Methods Four groups of participants, including cohorts of clinical depression (current depression, n = 294; remitted depression, n = 118) and nonclinical depression (subthreshold depression, N = 184; healthy control, n = 257), responded to Beck Depression Inventory-II (BDI-II). After adjusting for age and sex, the residual scores of the 21 BDI-II items were input into a regularized partial correlation network for each group. Then, the estimated edge strengths/densities and node characteristics were compared. Results Current depression has a discontinuous structure with a stronger and denser network of symptoms compared with nonclinical groups. Interestingly, remitted depression had improved to the level in healthy controls; however, it retained the same network structure as current depression, which indicates a trace of depression. Conclusions We found the traces of depression that remained even after the symptoms disappeared. This study might provide a novel framework for elucidating the development and formation of depression. https://www.cambridge.org/core/product/identifier/S0924933822000128/type/journal_articleBeck Depression Inventorydepressionpsychopathology network model |
| spellingShingle | Satoshi Yokoyama Go Okada Koki Takagaki Eri Itai Kohei Kambara Yuki Mitsuyama Hotaka Shinzato Yoshikazu Masuda Ran Jinnin Yasumasa Okamoto Trace of depression: Network structure of depressive symptoms in different clinical conditions European Psychiatry Beck Depression Inventory depression psychopathology network model |
| title | Trace of depression: Network structure of depressive symptoms in different clinical conditions |
| title_full | Trace of depression: Network structure of depressive symptoms in different clinical conditions |
| title_fullStr | Trace of depression: Network structure of depressive symptoms in different clinical conditions |
| title_full_unstemmed | Trace of depression: Network structure of depressive symptoms in different clinical conditions |
| title_short | Trace of depression: Network structure of depressive symptoms in different clinical conditions |
| title_sort | trace of depression network structure of depressive symptoms in different clinical conditions |
| topic | Beck Depression Inventory depression psychopathology network model |
| url | https://www.cambridge.org/core/product/identifier/S0924933822000128/type/journal_article |
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