Applicability of network perspectives of psychopathology: To promote tailored therapy for depression
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- Kashihara Jun
- Nihon University The University of Melbourne Japan Society for the Promotion of Science
Bibliographic Information
- Other Title
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- 精神病理ネットワークの応用可能性
- 精神病理ネットワークの応用可能性 : うつ病治療のテイラー化を促進するために
- セイシン ビョウリ ネットワーク ノ オウヨウ カノウセイ : ウツビョウ チリョウ ノ テイラーカ オ ソクシン スル タメニ
- ―うつ病治療のテイラー化を促進するために―
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Abstract
<p>Depression is one of the most burdensome mental disorders, and effective treatments for depression are needed. This review highlights that the network perspectives of psychopathology can promote tailored therapies for depression and improve the quality of treatment. First, we discuss that depression heterogeneity can be depicted by quantitative data analyses. Second, we review two previous clustering approaches that have been utilized to develop tailored therapy for depression: the first is based on a staging model and the second focuses on depression subtypes. Third, we focus on models and analyses of psychopathology networks, which have recently received substantial attention in clinical psychology. We demonstrate that psychopathology network models view mental disorders as complex interplays of symptoms, and we introduce analytic procedures and previous studies based on these models. We then summarize differences and similarities between network and clustering approaches and discuss how psychopathology networks can further promote tailored therapies for depression. Finally, we discuss the requirements for the practical use of psychopathology networks from the perspectives of cost-effectiveness and collaboration of data scientists and clinicians.</p>
Journal
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- JAPANESE PSYCHOLOGICAL REVIEW
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JAPANESE PSYCHOLOGICAL REVIEW 62 (2), 143-165, 2019
JAPANESE PSYCHOLOGICAL REVIEW
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Details 詳細情報について
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- CRID
- 1391975831221305344
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- NII Article ID
- 130007958348
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- NII Book ID
- AN00123664
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- ISSN
- 24334650
- 03861058
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- NDL BIB ID
- 030186039
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed