Social Cognitive Performance in Schizophrenia Spectrum Disorders Compared With Autism Spectrum Disorder

Oliver, Lindsay D.; Moxon‐Emre, Iska; Lai, Meng‐Chuan; Grennan, Laura; Voineskos, Aristotle N.; Ameis, Stephanie H.

doi:10.1001/jamapsychiatry.2020.3908

Cited by 65 publications

(48 citation statements)

References 88 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In a recent systematic review and meta‐analysis, Oliver et al (2020) assessed the results of 36 studies that directly compared social cognition between SCZ and ASD. Informed by both earlier meta‐analytic findings (Chung et al, 2014; Fernandes et al, 2018) and the earlier symptom onset typical in ASD, they hypothesized that emotion processing, as an early‐developing process, would be relatively more impaired in ASD than in SCZ, but that ToM impairment across groups would be similar.…”

Section: Resultsmentioning

confidence: 99%

“…However, it necessarily introduced an element of subjectivity into our review, given that our summary of study findings was qualitative and not based on a set procedure of extracting data, assessing for risk of bias, and synthesizing results. Although we did not attempt to quantitatively assess the quality of evidence given the breadth and heterogeneity of the studies, we did identify four recent meta‐analyses that examined individual aspects of the ASD/SCZ overlap (Baribeau & Anagnostou, 2013; Fernandes et al, 2018; Oliver et al, 2020; Prata et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Autism spectrum disorder and schizophrenia: An updated conceptual review

2021

View full text Add to dashboard Cite

Autism spectrum disorder (ASD) and schizophrenia (SCZ) are separate disorders, with distinct clinical profiles and natural histories. ASD, typically diagnosed in childhood, is characterized by restricted or repetitive interests or behaviors and impaired social communication, and it tends to have a stable course. SCZ, typically diagnosed in adolescence or adulthood, is characterized by hallucinations and delusions, and tends to be associated with declining function. However, youth with ASD are three to six times more likely to develop SCZ than their neurotypical counterparts, and increasingly, research has shown that ASD and SCZ converge at several levels. We conducted a systematic review of studies since 2013 relevant to understanding this convergence, and present here a narrative synthesis of key findings, which we have organized into four broad categories: symptoms and behavior, perception and cognition, biomarkers, and genetic and environmental risk. We then discuss opportunities for future research into the phenomenology and neurobiology of overlap between ASD and SCZ. Understanding this overlap will allow for researchers, and eventually clinicians, to understand the factors that may make a child with ASD vulnerable to developing SCZ. Lay Summary Autism spectrum disorder and schizophrenia are distinct diagnoses, but people with autism and people with schizophrena share several characteristics. We review recent studies that have examined these areas of overlap, and discuss the kinds of studies we will need to better understand how these disorders are related. Understanding this will be important to help us identify which autistic children are at risk of developing schizophrenia.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Autism spectrum disorder and schizophrenia: An updated conceptual review

2021

View full text Add to dashboard Cite

show abstract

“…The decreases in CBF values in these brain regions may be related to cognitive, language, and motor retardation in children with autism (when a child with autism is ∼2 years old, compared with a healthy child, the gaps in cognitive, language, and motor development are smaller. As the age of children with autism increases, the gaps between their cognitive, language, and motor development gradually increases compared with that in healthy children, eventually leading to a decrease in blood perfusion and a gradual increase in the number of affected brain regions) (20)(21)(22)(23).…”

Section: Discussionmentioning

confidence: 99%

Application of Three-Dimensional Pseudocontinuous Arterial Spin Labeling Perfusion Imaging in the Brains of Children With Autism

et al. 2022

View full text Add to dashboard Cite

ObjectiveTo explore the application of three-dimensional pseudocontinuous arterial spin labeling (3D-PCASL) perfusion imaging in the brains of children with autism and to understand the characteristics of cerebral blood perfusion in children with autism.MethodsA total of 320 children with autism (160 men and 160 women) aged between 2 and 18 years and 320 age- and sex-matched healthy children participated in the study. All children were scanned by 3.0 T magnetic resonance axial T1 fluid-attenuated inversion recovery (FLAIR), T2 FLAIR, 3D-T1, and 3D-PCASL sequences. After postprocessing, cerebral blood flow (CBF) values in each brain region of children with autism and healthy children at the same age were compared and analyzed. Furthermore, CBF characteristics in each brain region of autistic children at various ages were determined.ResultsThe CBF values of the frontal lobe, hippocampus, temporal lobe, and caudate nucleus of children with autism are lower than those of healthy children (P < 0.05). Additionally, as the ages of children with autism increase, the number of brain regions with decreased CBF values gradually increases. A receiver operating characteristic (ROC) analysis results show that the CBF values of the frontal lobe, hippocampus, temporal lobe, and caudate nucleus can distinguish children with autism [area under the ROC curve (AUC) > 0.05, P < 0.05].ConclusionThe 3D-PCASL shows lower brain CBF values in children with autism.Clinical Trial Registrationwww.ClinicalTrials.gov, identifier: ChiCTR2000034356.

show abstract

“…Schizophrenia is a chronic, often debilitating psychiatric illness [ 1 ]. Typically manifesting in late adolescence or early adulthood, schizophrenia can disturb perception, cognition, emotions, and behavior [ 2 , 3 ]. The number of schizophrenic patients increased from 13.1 million in 1990 to 20.9 million in 2016 [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Medication Adherence and Its Influencing Factors in Patients with Schizophrenia in the Chinese Institutional Environment

Wei

Tong

Sun

et al. 2021

IJERPH

View full text Add to dashboard Cite

Background: Factors related to medication adherence in patients with schizophrenia have always been key to the treatment and rehabilitation of these patients. However, the treatment modes in different countries are not the same, and there is no research on the factors influencing medication adherence under different mental health service modes. Objectives: The purpose of this study was to explore medication adherence and its influencing factors in patients with schizophrenia in the Chinese institutional environment. Methods: We conducted a cross-sectional study of hospitalized persons living with schizophrenia from November 2018 to January 2019. A systematic sampling method was used to select 217 hospitalized persons living with schizophrenia. The Medication Adherence Rating Scale (MARS), Positive and Negative Syndrome Scale (PANSS), General Self-Efficacy Scale (GSES), Schizophrenia Quality of Life Scale (SQLS), and Scale of Social Skills for Psychiatric Inpatients (SSPI) were used to explore medication compliance and its influencing factors in the Chinese institutional environment. Results: The descriptive analysis and ANOVA showed that there were no significant differences in medication adherence when assessed by demographic characteristics such as sex, marital status, and education level (p > 0.05). A correlation analysis showed that there was no significant correlation between medication adherence and mental symptoms (p > 0.05) but that there was a positive correlation with self-efficacy, quality of life, and activities of daily living (p < 0.01). The linear regression analysis showed that self-efficacy, psychosocial factors, symptoms/side effects, and activities of daily living had significant effects on medication adherence (F = 30.210, p < 0.001). Conclusions: Our findings show that the self-efficacy, quality of life, and social function of patients with schizophrenia are important self-factors influencing medication adherence in the Chinese institutional environment.

show abstract

Social Cognitive Performance in Schizophrenia Spectrum Disorders Compared With Autism Spectrum Disorder

Cited by 65 publications

References 88 publications

Autism spectrum disorder and schizophrenia: An updated conceptual review

Autism spectrum disorder and schizophrenia: An updated conceptual review

Application of Three-Dimensional Pseudocontinuous Arterial Spin Labeling Perfusion Imaging in the Brains of Children With Autism

Analysis of Medication Adherence and Its Influencing Factors in Patients with Schizophrenia in the Chinese Institutional Environment

Contact Info

Product

Resources

About