A meta-analysis of mentalizing impairments in adults with schizophrenia and autism spectrum disorder
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Mentalizing has been examined both in autism spectrum disorder (ASD) and schizophrenia (SCZ) primarily by either cognitive-linguistic (referred to as verbal) or emotion recognition from eyes (referred to as visual) mentalizing tasks. Each type of task is thought to measure different aspects of mentalizing. Differences in clinical features and developmental courses of each disorder may predict distinct patterns of mentalizing performance across dis orders on each type of task. To test this, a meta-analysis was conducted using 37 studies that assessed mentalizing either verbally or visually in adults with SCZ or ASD. We found that the estimated effect sizes of impairments in verbal and visual mentalizing tasks for both clinical groups were statistically large and at a similar level (overall Hedges' g = 0.73-1.05). For each disorder, adults with SCZ showed a trend towards larger impairments on verbal (overall Hedges' g = 0.99) than on visual mentalizing task (overall Hedges' g = 0.73; Qbet = 3.45, p =.06, df =1). Adults with ASD did not show different levels of impairment on the verbal versus visual tasks (Qbet = 0.08, p =.78, df =1). These results suggest that both clinical groups share, at least in part, some common cognitive processing deficits associated with mentalizing impairments.
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Weaker top-down control of imitation has been linked to poorer mentalizing and perspective taking, abilities that are impaired in schizophrenia.
“Interestingly, reduced top-down modulation of imitation has also been associated with reduced mentalizing and perspective-taking ability, 36,40 abilities known to be impaired in schizophrenia.45”
From Enhanced Automatic Action Imitation and Intact Imitation-Inhibition in Schizophrenia (2019) · cites this paper as [45]
Anomalies in social-emotional functioning are important transdiagnostic features in several psychiatric disorders.
“Anomalies in social-emotional functioning are important transdiagnostic features in several psychiatric disorders (Bora and Berk, 2016;Bora and Köse, 2016;Chung et al., 2014;Davies et al., 2016;Henry et al., 2014;Kring and Moran, 2008).”
From Meta-analysis of the effects of intranasal oxytocin on interpretation and expression of emotions (2017) · cites this paper as Chung et al., 2014
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Context-sensitive social cognition is impaired in schizophrenic patients and their healthy relatives
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What Neurodevelopmental Disorders Can Reveal about Cognitive Architecture
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- Authors
- Chung, Y. S., Barch, D., & Strube, M.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Chung, Yu Sun
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-05-17
- Volume
- 40
- Issue
- 3
- Pages
- 602-616
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- PMC
- PMC3984506
- OpenAlex
- W2141822795
- Cited by
- 310
- References
- 112
- Citations by year
- 2026: 12 · 2025: 23 · 2024: 24 · 2023: 25 · 2022: 11 · 2021: 26 · 2020: 62 · 2019: 37 · 2018: 21 · 2017: 20 · 2016: 21 · 2015: 17 · 2014: 8 · 2013: 2 · 2012: 1
- FWCI
- 2.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Schizophrenia Bulletin (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (R01MH066031)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Keywords
- mentalization, theory of mind
- MeSH terms
- Adult, Child Development Disorders, Pervasive, Cognition Disorders, Emotions, Facial Expression, Humans, Pattern Recognition, Visual, Regression Analysis, Schizophrenia, Schizophrenic Psychology, Social Perception, Theory of Mind
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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