What do centrality measures measure in psychological networks?
Centrality indices are a popular tool to analyze structural aspects of psychological networks.
As centrality indices were originally developed in the context of social networks, it is unclear …
As centrality indices were originally developed in the context of social networks, it is unclear …
A review of approaches and models in psychopathology conceptualization research
Mental disorder classification provides a definitional framework that underlies applied
clinical and research efforts to understand, assess, predict, prevent and ameliorate the …
clinical and research efforts to understand, assess, predict, prevent and ameliorate the …
Transdiagnostic psychiatry: a systematic review
The usefulness of current psychiatric classification, which is based on ICD/DSM categorical
diagnoses, remains questionable. A promising alternative has been put forward as the …
diagnoses, remains questionable. A promising alternative has been put forward as the …
The study of psychopathology from the network analysis perspective: A systematic review
Background: Network analysis (NA) is an analytical tool that allows one to explore the map
of connections and eventual dynamic influences among symptoms and other elements of …
of connections and eventual dynamic influences among symptoms and other elements of …
Hallucinations: a systematic review of points of similarity and difference across diagnostic classes
F Waters, C Fernyhough - Schizophrenia bulletin, 2017 - academic.oup.com
Hallucinations constitute one of the 5 symptom domains of psychotic disorders in DSM-5,
suggesting diagnostic significance for that group of disorders. Although specific featural …
suggesting diagnostic significance for that group of disorders. Although specific featural …
How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets
JMB Haslbeck, EI Fried - Psychological medicine, 2017 - cambridge.org
BackgroundNetwork analyses on psychopathological data focus on the network structure
and its derivatives such as node centrality. One conclusion one can draw from centrality …
and its derivatives such as node centrality. One conclusion one can draw from centrality …
Application of network methods for understanding mental disorders: pitfalls and promise
Galvanized with the availability of sophisticated statistical techniques and large datasets,
network medicine has emerged as an active area of investigation. Following this trend …
network medicine has emerged as an active area of investigation. Following this trend …
Using directed acyclic graphs in epidemiological research in psychosis: an analysis of the role of bullying in psychosis
Modern psychiatric epidemiology researches complex interactions between multiple
variables in large datasets. This creates difficulties for causal inference. We argue for the …
variables in large datasets. This creates difficulties for causal inference. We argue for the …
Motor abnormalities: from neurodevelopmental to neurodegenerative through “functional”(neuro) psychiatric disorders
Abstract Background Motor abnormalities (MAs) of severe mental disorders have been
traditionally neglected both in clinical practice and research, although they are an increasing …
traditionally neglected both in clinical practice and research, although they are an increasing …
Hearing voices as a feature of typical and psychopathological experience
Hearing a voice in the absence of any speaker can be a significant feature of psychiatric
illness, but is also increasingly acknowledged as an important aspect of everyday, non …
illness, but is also increasingly acknowledged as an important aspect of everyday, non …