What are 'good' depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis.
By Eiko I. Fried, Sacha Epskamp, R. Nesse, Francis Tuerlinckx, Denny Borsboom. Journal of Affective Disorders, 2016
637 citations recorded by the source corpus.
Subfields: Clinical Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/2db6e07f6cbe2c0cf50b6a8a11ef4029f58e55c5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
- Richard J. McNally
- Sacha Epskamp
- A. Cramer
- Eiko I. Fried
- Denny Borsboom
- Alexandre Heeren
- M. Wichers
- Claudia D van Borkulo
In Cognitive Neuroscience
- Sacha Epskamp
- Eiko I. Fried
- Richard J. McNally
- Denny Borsboom
- Alexandre Heeren
- A. Cramer
- Claudia D van Borkulo
- L. Boschloo
In Experimental and Cognitive Psychology
- Sacha Epskamp
- Eiko I. Fried
- Richard J. McNally
- Denny Borsboom
- A. Cramer
- Alexandre Heeren
- D. Hevey
- Claudia D van Borkulo
Citations in the corpus
- Mental disorders as networks of problems: a review of recent insights (2016, positive): “Other common centrality measures are closeness and betweenness [24], and several papers have described and calculated these centrality measures for psychopathological networks [46, 48].”
- Regularized Gaussian Psychological Networks: Brief Report on the Performance of Extended BIC Model Selection (2016, background): “Such networks are being extensively being applied to psychological datasets (e.g., McNally et al., 2015; Kossakowski et al., 2015; Isvoranu et al., 2016; Fried et al., 2016; van Borkulo et al., 2015).”
- Estimating psychological networks and their accuracy: A tutorial paper (2016, background): “Imagine in a network of psychopathological symptoms that we find that symptom A has a much higher node strength than symptom B in a psychopathological network, leading to the clinical interpretation that A may be a more relevant target for treatment than the peripheral symptom B (Fried et al., 2016).”
- How well do network models predict observations? On the importance of predictability in network models (2016, neutral): “Currently, most applications are in the field of clinical psychology (e.g., Fried et al., 2015; Fried, Epskamp, Nesse, Tuerlinckx, & Borsboom, 2016; Beard et al., 2016; McNally et al., 2015; Boschloo et al., 2015) but network models are also applied in health psychology (Kossakowski, Epskamp, et…”
- Social Anxiety Disorder as a Densely Interconnected Network of Fear and Avoidance for Social Situations (2017, background): “However, many papers on network approaches to psychopathology have suggested that network methodologies offer a way to transcend current psychiatric nomenclatures (e.g., Curtiss and Klemaski 2016; Fried et al. 2016; Hofmann et al. 2016).”
- What do centrality measures measure in psychological networks? (2019, background): “3 This is a useful distinction, as such directed network models are thought to provide information both on how a symptom directly activates and is activated by other symptoms (Fried et al., 2016).”
- A Tutorial on Regularized Partial Correlation Networks (2016, methodology): “ethods, we refer the reader to Chapman et al. (2016). Regularized network estimation has already been used in a substantive number of publications in diverse fields, such as clinical psychology (e.g., Fried et al. 2016; Knefel et al. 2016; Levine and Leucht 2016; Jaya et al. 2016; Deserno et al. 2016”