Revisiting the theoretical and methodological foundations of depression measurement
Depressive disorders are among the leading causes of global disease burden, but there has
been limited progress in understanding the causes of and treatments for these disorders. In …
been limited progress in understanding the causes of and treatments for these disorders. In …
Moving forward: Challenges and directions for psychopathological network theory and methodology
Since the introduction of mental disorders as networks of causally interacting symptoms, this
novel framework has received considerable attention. The past years have resulted in over …
novel framework has received considerable attention. The past years have resulted in over …
[HTML][HTML] An empathy-driven, conversational artificial intelligence agent (Wysa) for digital mental well-being: real-world data evaluation mixed-methods study
Background: A World Health Organization 2017 report stated that major depression affects
almost 5% of the human population. Major depression is associated with impaired …
almost 5% of the human population. Major depression is associated with impaired …
Social media and depression symptoms: A network perspective.
Passive social media use (PSMU)—for example, scrolling through social media news feeds—
has been associated with depression symptoms. It is unclear, however, if PSMU causes …
has been associated with depression symptoms. It is unclear, however, if PSMU causes …
Can network analysis transform psychopathology?
RJ McNally - Behaviour research and therapy, 2016 - Elsevier
Experimental psychopathology has been the primary path to gaining causal knowledge
about variables maintaining mental disorders. Yet a radically different approach to …
about variables maintaining mental disorders. Yet a radically different approach to …
Network analysis of depression and anxiety symptom relationships in a psychiatric sample
BackgroundResearchers have studied psychological disorders extensively from a common
cause perspective, in which symptoms are treated as independent indicators of an …
cause perspective, in which symptoms are treated as independent indicators of an …
The 52 symptoms of major depression: Lack of content overlap among seven common depression scales
EI Fried - Journal of affective disorders, 2017 - Elsevier
Background Depression severity is assessed in numerous research disciplines, ranging
from the social sciences to genetics, and used as a dependent variable, predictor, covariate …
from the social sciences to genetics, and used as a dependent variable, predictor, covariate …
What are'good'depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis
Abstract Background The symptoms for Major Depression (MD) defined in the DSM-5 differ
markedly from symptoms assessed in common rating scales, and the empirical question …
markedly from symptoms assessed in common rating scales, and the empirical question …
Association of symptom network structure with the course of depression
C van Borkulo, L Boschloo, D Borsboom… - JAMA …, 2015 - jamanetwork.com
Importance Major depressive disorder (MDD) is a heterogeneous condition in terms of
symptoms, course, and underlying disease mechanisms. Current classifications do not …
symptoms, course, and underlying disease mechanisms. Current classifications do not …
Depression sum-scores don't add up: why analyzing specific depression symptoms is essential
Most measures of depression severity are based on the number of reported symptoms, and
threshold scores are often used to classify individuals as healthy or depressed. This method …
threshold scores are often used to classify individuals as healthy or depressed. This method …