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The Social-Emotional Processing Stream: Five Core Constructs and Their Translational Potential for Schizophrenia and Beyond
Open accessAbstract
Background Cognitive neuroscience approaches to translational research have made great strides towards understanding basic mechanisms of dysfunction and their relation to cognitive deficits, such as thought disorder in schizophrenia. The recent emergence of Social Cognitive and Affective Neuroscience has paved the way for similar progress to be made in explaining the mechanisms underlying the social and emotional dysfunctions (i.e. negative symptoms) of schizophrenia and that characterize virtually all DSM Axis I and II disorders more broadly. Methods This paper aims to provide a roadmap for this work by 1) distilling from the emerging literature on the neural bases of social and emotional abilities a set of key constructs that 2) can be used to generate questions about the mechanisms of clinical dysfunction in general, and schizophrenia in particular. Results To achieve these aims, the first part of this paper sketches a framework of five constructs that comprise a social-emotional processing stream. The second part considers how future basic research might flesh out this framework and translational work might relate it to schizophrenia and other clinical populations. Conclusions Although the review suggests there is more basic research needed for each construct, two in particular – one involving the bottom-up recognition of social and emotional cues, the second involving the use of top-down processes to draw mental state inferences – are most ready for translational work.
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Metadata
- Authors
- Ochsner, K. N.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2008-07
- Volume
- 64
- Issue
- 1
- Pages
- 48-61
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W2172266765
- Cited by
- 298
- References
- 64
- FWCI
- 14.83
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.