Abstract
Schizophrenia involves a range of interrelated impairments in functioning due to symptoms and deficits in varying domains of cognition including neurocognition, social cognition and metacognition. Yet little is known whether certain symptoms or cognitive impairments play a more central role than others. To explore, we conducted a network analysis of five types of symptoms, six domains of neurocognition and multiple aspects of both social cognition and metacognition. Participants were 81 adults with a schizophrenia spectrum disorder in a non-acute phase of the disorder. Results of the network analysis suggest that the cognitive symptoms node is most central in the network, metacognition abilities have high strength centrality measures followed by visual learning and emotion identification. In addition, distinction between the four groups of variables was supported. This suggests the need for both cognitive remediation and metacognitively oriented therapies in order to promote recovery from schizophrenia.
| Original language | English |
|---|---|
| Pages (from-to) | 260-266 |
| Number of pages | 7 |
| Journal | Schizophrenia Research |
| Volume | 202 |
| DOIs | |
| State | Published - Dec 2018 |
Bibliographical note
Publisher Copyright:© 2018 Elsevier B.V.
Funding
This work was supported by a grant from the VA Rehabilitation Research and Development , D 6629R .
| Funders | Funder number |
|---|---|
| VA Rehabilitation Research and Development | D 6629R |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Metacognition
- Network analysis
- Neurocognition
- Schizophrenia
- Social cognition
- Symptoms
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