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Claudia D. van Borkulo

Researcher at University of Amsterdam

Publications -  41
Citations -  4179

Claudia D. van Borkulo is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Psychopathology & Schizophrenia. The author has an hindex of 19, co-authored 34 publications receiving 2630 citations. Previous affiliations of Claudia D. van Borkulo include University of Groningen & University Medical Center Groningen.

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Mental disorders as networks of problems: a review of recent insights

TL;DR: A review of all empirical network studies published between 2010 and 2016 concludes that network analysis has yielded important insights and may provide an important inroad towards personalized medicine by investigating the network structures of individual patients.
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Association of Symptom Network Structure With the Course of Depression

TL;DR: In this paper, the authors examined whether the baseline network structure of major depressive disorder symptoms is associated with the longitudinal course of MDD and found that more pronounced associations between symptoms may be an important determinant of persistence in MDD.
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A new method for constructing networks from binary data

TL;DR: A method for assessing network structures from binary data based on Ising models, which combines logistic regression with model selection based on a Goodness-of-Fit measure to identify relevant relationships between variables that define connections in a network is presented.

Comparing network structures on three aspects: A permutation test

TL;DR: The Network Comparison Test (NCT) is presented, which uses resampling-based permutation testing to compare network structures from two independent, cross-sectional data sets on invariance of 1) network structure, 2) edge (connection) strength, and 3) global strength.
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Major Depression as a Complex Dynamic System

TL;DR: This model is the first intra-individual, symptom-based, process model with the potential to explain the pathogenesis and maintenance of major depression and potentially explains some well-known empirical phenomena such as spontaneous recovery.