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Nenadić I, Schröder Y, Hoffmann J, Evermann U, Pfarr JK, Bergmann A, Hohmann DM, Keil B, Abu-Akel A, Stroth S, Kamp-Becker I, Jansen A, Grezellschak S, Meller T. Superior temporal sulcus folding, functional network connectivity, and autistic-like traits in a non-clinical population. Mol Autism 2024; 15:44. [PMID: 39380071 PMCID: PMC11463051 DOI: 10.1186/s13229-024-00623-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 09/17/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND Autistic-like traits (ALT) are prevalent across the general population and might be linked to some facets of a broader autism spectrum disorder (ASD) phenotype. Recent studies suggest an association of these traits with both genetic and brain structural markers in non-autistic individuals, showing similar spatial location of findings observed in ASD and thus suggesting a potential neurobiological continuum. METHODS In this study, we first tested an association of ALTs (assessed with the AQ questionnaire) with cortical complexity, a cortical surface marker of early neurodevelopment, and then the association with disrupted functional connectivity. We analysed structural T1-weighted and resting-state functional MRI scans in 250 psychiatrically healthy individuals without a history of early developmental disorders, in a first step using the CAT12 toolbox for cortical complexity analysis and in a second step we used regional cortical complexity findings to apply the CONN toolbox for seed-based functional connectivity analysis. RESULTS Our findings show a significant negative correlation of both AQ total and AQ attention switching subscores with left superior temporal sulcus (STS) cortical folding complexity, with the former being significantly correlated with STS to left lateral occipital cortex connectivity, while the latter showed significant positive correlation of STS to left inferior/middle frontal gyrus connectivity (n = 233; all p < 0.05, FWE cluster-level corrected). Additional analyses also revealed a significant correlation of AQ attention to detail subscores with STS to left lateral occipital cortex connectivity. LIMITATIONS Phenotyping might affect association results (e.g. choice of inventories); in addition, our study was limited to subclinical expressions of autistic-like traits. CONCLUSIONS Our findings provide further evidence for biological correlates of ALT even in the absence of clinical ASD, while establishing a link between structural variation of early developmental origin and functional connectivity.
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Affiliation(s)
- Igor Nenadić
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35037, Marburg, Germany.
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Justus Liebig University Gießen, and Technical University of Darmstadt, Hans-Meerwein-Straße 6, 35032, Marburg, Germany.
- Marburg University Hospital - UKGM, Marburg, Germany.
- LOEWE Center DYNAMIC, University of Marburg, Marburg, Germany.
| | - Yvonne Schröder
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35037, Marburg, Germany
| | - Jonas Hoffmann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35037, Marburg, Germany
| | - Ulrika Evermann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35037, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Justus Liebig University Gießen, and Technical University of Darmstadt, Hans-Meerwein-Straße 6, 35032, Marburg, Germany
| | - Julia-Katharina Pfarr
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35037, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Justus Liebig University Gießen, and Technical University of Darmstadt, Hans-Meerwein-Straße 6, 35032, Marburg, Germany
| | - Aliénor Bergmann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35037, Marburg, Germany
| | - Daniela Michelle Hohmann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35037, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Justus Liebig University Gießen, and Technical University of Darmstadt, Hans-Meerwein-Straße 6, 35032, Marburg, Germany
| | - Boris Keil
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Justus Liebig University Gießen, and Technical University of Darmstadt, Hans-Meerwein-Straße 6, 35032, Marburg, Germany
- Institute of Medical Physics and Radiation Protection, Department of Life Science Engineering, TH Mittelhessen University of Applied Sciences, Giessen, Germany
- LOEWE Research Cluster for Advanced Medical Physics in Imaging and Therapy (ADMIT), TH Mittelhessen University of Applied Sciences, 35390, Giessen, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps-Universität Marburg, Marburg, Germany
| | - Ahmad Abu-Akel
- School of Psychological Sciences, University of Haifa, Haifa, Israel
- The Haifa Brain and Behavior Hub (HBBH), University of Haifa, Haifa, Israel
| | - Sanna Stroth
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Justus Liebig University Gießen, and Technical University of Darmstadt, Hans-Meerwein-Straße 6, 35032, Marburg, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
| | - Inge Kamp-Becker
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Justus Liebig University Gießen, and Technical University of Darmstadt, Hans-Meerwein-Straße 6, 35032, Marburg, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
| | - Andreas Jansen
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Justus Liebig University Gießen, and Technical University of Darmstadt, Hans-Meerwein-Straße 6, 35032, Marburg, Germany
- BrainImaging Core Facility, School of Medicine, Philipps-Universität Marburg, Marburg, Germany
| | - Sarah Grezellschak
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35037, Marburg, Germany
| | - Tina Meller
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35037, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Justus Liebig University Gießen, and Technical University of Darmstadt, Hans-Meerwein-Straße 6, 35032, Marburg, Germany
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Chen L, Du B, Li K, Li K, Hou T, Jia F, Li L. The effect of tDCS on inhibitory control and its transfer effect on sustained attention in children with autism spectrum disorder: An fNIRS study. Brain Stimul 2024; 17:594-606. [PMID: 38697468 DOI: 10.1016/j.brs.2024.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 04/20/2024] [Accepted: 04/29/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND Individuals with autism spectrum disorder (ASD) have inhibitory control deficits. The combination of transcranial direct current stimulation (tDCS) and inhibitory control training produces good transfer effects and improves neuroplasticity. However, no studies have explored whether applying tDCS over the dlPFC improves inhibitory control and produces transfer effects in children with ASD. OBJECTIVE To explore whether multisession tDCS could enhance inhibitory control training (response inhibition), near-transfer (interference control) and far-transfer effects (sustained attention; stability of attention) in children with ASD and the generalizability of training effects in daily life and the class, as reflected by behavioral performance and neural activity measured by functional near-infrared spectroscopy (fNIRS). METHODS Twenty-eight autistic children were randomly assigned to either the true or sham tDCS group. The experimental group received bifrontal tDCS stimulation at 1.5 mA, administered for 15 min daily across eight consecutive days. tDCS was delivered during a computerized Go/No-go training task. Behavioral performance in terms of inhibitory control (Dog/Monkey and Day/Night Stroop tasks), sustained attention (Continuous Performance and Cancellation tests), prefrontal cortex (PFC) neural activity and inhibitory control and sustained attention in the class and at home were evaluated. RESULTS Training (response inhibition) and transfer effects (interference control; sustained attention) were significantly greater after receiving tDCS during the Go/No-go training task than after receiving sham tDCS. Changes in oxyhemoglobin (HbO) concentrations in the dlPFC and FPA associated with consistent conditions in the Day/Night Stroop and Continuous Performance test were observed after applying tDCS during the inhibitory control training task. Notably, transfer effects can be generalized to classroom environments. CONCLUSION Inhibitory control training combined with tDCS may be a promising, safe, and effective method for improving inhibitory control and sustained attention in children with ASD.
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Affiliation(s)
- Liu Chen
- School of Education and Psychology, University of Jinan, 250022, Jinan, China
| | - Bang Du
- School of Education and Psychology, University of Jinan, 250022, Jinan, China
| | - Ke Li
- School of Education and Psychology, University of Jinan, 250022, Jinan, China
| | - Kaiyun Li
- School of Education and Psychology, University of Jinan, 250022, Jinan, China.
| | - TingTing Hou
- School of Education and Psychology, University of Jinan, 250022, Jinan, China
| | - Fanlu Jia
- School of Education and Psychology, University of Jinan, 250022, Jinan, China
| | - Li Li
- BoShan Special Education Center School, 255299, Zibo, China
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Peng P, Wang Q, Zhou Y, Hao Y, Chen S, Wu Q, Li M, Wang Y, Yang Q, Wang X, Liu Y, Ma Y, He L, Liu T, Zhang X. Autistic features in Chinese patients with chronic schizophrenia: Prevalence, clinical characteristics, and relationship with cognitive impairment. Asian J Psychiatr 2023; 87:103697. [PMID: 37450982 DOI: 10.1016/j.ajp.2023.103697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 07/06/2023] [Accepted: 07/07/2023] [Indexed: 07/18/2023]
Affiliation(s)
- Pu Peng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Qianjin Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yanan Zhou
- Department of Psychiatry, Hunan Brain Hospital (Hunan Second People's Hospital), Changsha, China.
| | - Yuzhu Hao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Shubao Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Qiuxia Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Manyun Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yunfei Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Qian Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Xin Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yueheng Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yuejiao Ma
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Li He
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Tieqiao Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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Gillett G, Leeves L, Patel A, Prisecaru A, Spain D, Happé F. The prevalence of autism spectrum disorder traits and diagnosis in adults and young people with personality disorders: A systematic review. Aust N Z J Psychiatry 2023; 57:181-196. [PMID: 35986511 PMCID: PMC9896258 DOI: 10.1177/00048674221114603] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Autism spectrum disorders and personality disorders are spectrum conditions with shared clinical features. Despite similarities, previous attempts to synthesise literature on co-existing prevalence and shared traits have employed a unidirectional focus, assessing personality characteristics of individuals with an autism spectrum disorder diagnosis. Here, we assess the prevalence of autism spectrum disorder diagnosis and/or traits among persons diagnosed with a personality disorder. METHODS We systematically reviewed the English-language literature following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, according to a pre-registered protocol (PROSPERO: CRD 42021264106). Peer-reviewed quantitative studies reporting the prevalence of autism spectrum disorder diagnosis or traits in persons with an established personality disorder diagnosis were included. Studies were critically appraised using the Appraisal tool for Cross-Sectional Studies. RESULTS Fifteen studies were identified, including 72,902 participants (median: 48, interquartile range: 30-77). Diagnoses included borderline, schizotypal and obsessive-compulsive personality disorders, and cohorts with unspecified personality disorder diagnoses. There was significant heterogeneity in diagnostic methodology and assessment tools used. We identified preliminary evidence of an increased prevalence of co-existing autism spectrum disorder diagnosis and traits among those diagnosed with a personality disorder, although significant limitations of the literature were identified. CONCLUSION Our research suggests clinicians should consider conducting a careful developmental assessment when assessing service-users with possible or confirmed personality disorder. Future research directions may include larger studies featuring clinical control groups, an exploration of shared and differentiating behavioural-cognitive features of the two conditions, and investigation into potentially shared aetiological factors. Research investigating demographic factors that may contribute to potential diagnostic overshadowing would also be welcomed.
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Affiliation(s)
- George Gillett
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK,George Gillett, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AB, UK.
| | | | | | | | - Debbie Spain
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Francesca Happé
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
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5
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Nibbio G, Barlati S, Calzavara-Pinton I, Necchini N, Invernizzi E, Dell'Ovo D, Lisoni J, Deste G, Vita A. Assessment and correlates of autistic symptoms in Schizophrenia Spectrum Disorders measured with the PANSS Autism Severity Score: A systematic review. Front Psychiatry 2022; 13:934005. [PMID: 36111306 PMCID: PMC9468543 DOI: 10.3389/fpsyt.2022.934005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 08/12/2022] [Indexed: 02/02/2023] Open
Abstract
Schizophrenia Spectrum Disorders (SSD) and Autism Spectrum Disorders (ASD) are considered separate entities, but the two spectra share important similarities, and the study of these areas of overlap represents a field of growing scientific interest. The PANSS Autism Score (PAUSS) was recently developed specifically to assess autistic symptoms in people living with SSD reliably and quickly. The aims of the present systematic review were to provide a comprehensive assessment of the use of the PAUSS scale in available literature and to systematically analyze cognitive, functional and neurobiological correlates of autistic symptoms measured with this instrument in SSD. The systematic literature search included three electronic databases (PubMed, Scopus and PsycINFO) as well as a manual search in Google Scholar and in reference lists of included papers. Screening and extraction were conducted by at least two independent reviewers. Out of 213 identified records, 22 articles referring to 15 original studies were included in the systematic review. Studies were conducted in several different countries by independent groups, showing consistent scientific interest in the use of the scale; most works focused on cognitive and functional correlates of ASD symptoms, but some also considered neurobiological features. Results of included studies showed that autistic symptoms in people with SSD are consistently associated with worse cognitive performance, especially in the social cognition domain, and with worse psychosocial functioning. However, the presence of autistic symptoms appears to also have a protective role, particularly on functioning, in subjects with more severe psychotic symptoms. Further exploring the impact of autistic symptoms could be of significant scientific and clinical interest, allowing the development of tailored interventions to improve treatment for people living with SSDs.
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Affiliation(s)
- Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Stefano Barlati
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | | | - Nicola Necchini
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Elena Invernizzi
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Dario Dell'Ovo
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Jacopo Lisoni
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Giacomo Deste
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
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Autistic symptomatology in UHR patients: A preliminary report. Psychiatry Res 2022; 313:114634. [PMID: 35617823 DOI: 10.1016/j.psychres.2022.114634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 05/10/2022] [Accepted: 05/12/2022] [Indexed: 11/21/2022]
Abstract
Several studies have evaluated the level of autistic symptomatology in schizophrenia patients (SCZ) and ultra-high risk for psychosis (UHR) patients, but the data are not conclusive. Using the PANSS Autism Severity Score (PAUSS) scale, we found that the degree of autistic symptomatology in UHR patients is significantly lower compared to SCZ patients but higher than in patients with a mood disorder. Moreover, we found a significant correlation between autistic symptomatology and the severity of formal thought disorders, confirming Bleuler's hypothesis about autism and association disorders as core features of psychosis.
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Klang A, Westerberg B, Humble MB, Bejerot S. The impact of schizotypy on quality of life among adults with autism spectrum disorder. BMC Psychiatry 2022; 22:205. [PMID: 35305592 PMCID: PMC8934003 DOI: 10.1186/s12888-022-03841-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 03/09/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) and schizotypal personality disorder can be difficult to distinguish. Deficits in social relationships and social interaction, present in both conditions, are known to impair quality of life. The aim of the present study was to investigate if schizotypal symptoms affect quality of life among adults diagnosed with autism spectrum disorder and to study the association between schizotypy and autistic traits among them. METHODS Participants diagnosed with autism spectrum disorder (n = 110) completed questionnaires exploring schizotypy (Schizotypal Personality Questionnaire - Brief Revised (SPQ-BR)), autistic traits (The Ritvo Autism, Asperger Diagnostic Scale-Revised Screen 14 items), anxiety and depression (The Hospital Anxiety and Depression scale) and quality of life (Brunnsviken Brief Quality of Life Scale and the European quality of life index version 5D). RESULTS Schizotypy was found to be associated with anxiety, depressive and autistic symptoms, and poor quality of life. Although schizotypy was a predictor for impaired quality of life, this relationship was mediated by symptoms of anxiety and depression, plausibly inherent to autism. Autistic traits were positively associated with all higher order constructs of the SPQ-BR, i.e. positive and negative schizotypy, disorganization and social anxiety, as well as with poor quality of life. CONCLUSIONS There is considerable overlap between schizotypy and autism that needs to be considered in research. Prominent schizotypal traits in people with ASD may constitute an endophenotype coinciding with a particularly poor quality of life. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT03570372 : Internet-based Treatment for Adults with Autism Spectrum Disorder (MILAS).
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Affiliation(s)
- Albin Klang
- grid.15895.300000 0001 0738 8966School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Britta Westerberg
- grid.15895.300000 0001 0738 8966School of Medical Sciences, Örebro University, Örebro, Sweden ,grid.15895.300000 0001 0738 8966University Health Care Research Centre, Region Örebro County, Faculty of Medicine and Health, Örebro University, P.O. Box 1613, University Hospital, S-701, Örebro, Sweden
| | - Mats B. Humble
- grid.15895.300000 0001 0738 8966School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Susanne Bejerot
- School of Medical Sciences, Örebro University, Örebro, Sweden. .,University Health Care Research Centre, Region Örebro County, Faculty of Medicine and Health, Örebro University, P.O. Box 1613, University Hospital, S-701, Örebro, Sweden.
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Abu-Akel A, Wood SJ, Upthegrove R, Chisholm K, Lin A, Hansen PC, Gillespie SM, Apperly IA, Montag C. Psychosocial functioning in the balance between autism and psychosis: evidence from three populations. Mol Psychiatry 2022; 27:2976-2984. [PMID: 35422471 PMCID: PMC9205777 DOI: 10.1038/s41380-022-01543-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 03/14/2022] [Accepted: 03/21/2022] [Indexed: 11/09/2022]
Abstract
Functional impairment is a core feature of both autism and schizophrenia spectrum disorders. While diagnostically independent, they can co-occur in the same individual at both the trait and diagnostic levels. The effect of such co-occurrence is hypothesized to worsen functional impairment. The diametric model, however, suggests that the disorders are etiologically and phenotypically diametrical, representing the extreme of a unidimensional continuum of cognition and behavior. A central prediction of this model is that functional impairment would be attenuated in individuals with mixed symptom expressions or genetic liability to both disorders. We tested this hypothesis in two clinical populations and one healthy population. In individuals with chronic schizophrenia and in individuals with first episode psychosis we evaluated the combined effect of autistic traits and positive psychotic symptoms on psychosocial functioning. In healthy carriers of alleles of copy number variants (CNVs) that confer risk for both autism and schizophrenia, we also evaluated whether variation in psychosocial functioning depended on the combined risk conferred by each CNV. Relative to individuals with biased symptom/CNV risk profiles, results show that functional impairments are attenuated in individuals with relatively equal levels of positive symptoms and autistic traits-and specifically stereotypic behaviors-, and in carriers of CNVs with relatively equal risks for either disorder. However, the pattern of effects along the "balance axis" varied across the groups, with this attenuation being generally less pronounced in individuals with high-high symptom/risk profile in the schizophrenia and CNV groups, and relatively similar for low-low and high-high individuals in the first episode psychosis group. Lower levels of functional impairments in individuals with "balanced" symptom profile or genetic risks would suggest compensation across mechanisms associated with autism and schizophrenia. CNVs that confer equal risks for both disorders may provide an entry point for investigations into such compensatory mechanisms. The co-assessment of autism and schizophrenia may contribute to personalized prognosis and stratification strategies.
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Affiliation(s)
- Ahmad Abu-Akel
- Institute of Psychology, University of Lausanne, 1015, Lausanne, Switzerland. .,School of Psychological Sciences, University of Haifa, 31905, Haifa, Israel.
| | - Stephen J. Wood
- grid.6572.60000 0004 1936 7486School of Psychology, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK ,grid.1008.90000 0001 2179 088XCentre for Youth Mental Health, University of Melbourne, 35 Poplar Rd, Parkville, VIC 3052 Australia ,grid.488501.00000 0004 8032 6923Orygen, Parkville, VIC 3052 Australia
| | - Rachel Upthegrove
- grid.6572.60000 0004 1936 7486School of Psychology, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK ,grid.6572.60000 0004 1936 7486Institute of Clinical Sciences, College of Medical and Dental Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK ,Forward Thinking Birmingham and Birmingham and Solihull Mental Health Foundation Trust, 1 Printing House Street, Birmingham, B4 6DF UK
| | - Katharine Chisholm
- grid.6572.60000 0004 1936 7486School of Psychology, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK ,grid.7273.10000 0004 0376 4727Department of Psychology, Aston University, Birmingham, B4 7ET UK
| | - Ashleigh Lin
- grid.1012.20000 0004 1936 7910Telethon Kids Institute, The University of Western Australia, 15 Hospital Avenue, Perth, WA 6009 Australia
| | - Peter C. Hansen
- grid.6572.60000 0004 1936 7486School of Psychology, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK
| | - Steven M. Gillespie
- grid.10025.360000 0004 1936 8470Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, L69 3GB UK
| | - Ian A. Apperly
- grid.6572.60000 0004 1936 7486School of Psychology, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK
| | - Christiane Montag
- grid.6363.00000 0001 2218 4662Charité University Medicine Berlin (Charité Universitätsmedizin Berlin), Department of Psychiatry and Psychotherapy, Campus Mitte, Charitéplatz 1, 10117 Berlin, Germany
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Nahal P, Hurd PL, Read S, Crespi B. Cognitive Empathy as Imagination: Evidence From Reading the Mind in the Eyes in Autism and Schizotypy. Front Psychiatry 2021; 12:665721. [PMID: 33868063 PMCID: PMC8047060 DOI: 10.3389/fpsyt.2021.665721] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 03/10/2021] [Indexed: 12/01/2022] Open
Abstract
How is cognitive empathy related to sociality, imagination, and other psychological constructs? How is it altered in disorders of human social cognition? We leveraged a large data set (1,168 students, 62% female) on the Reading the Mind in the Eyes test (RMET), the Autism Quotient (AQ), and the Schizotypal Personality Questionnaire (SPQ-BR) to test the hypotheses that the RMET, as a metric of cognitive empathy, reflects mainly social abilities, imagination, or both. RMET showed the expected female bias in performance, though only for eyes that expressed emotions and not for neutral expressions. RMET performance was significantly, and more strongly, associated with the AQ and SPQ subscales that reflect aspects of imagination (AQ-Imagination and SPQ-Magical Ideation) than aspects of social abilities (AQ-Social, AQ-Communication, and SPQ-Interpersonal subscales). These results were confirmed with multiple regression analysis, which also implicated increased attention (AQ-Attention Switching and, marginally non-significantly, AQ-Attention to Detail) in RMET performance. The two imagination-related correlates of RMET performance also show the strongest sex biases for the AQ and SPQ: male biased in AQ-Imagination, and female biased in SPQ-Magical Ideation, with small to medium effect sizes. Taken together, these findings suggest that cognitive empathy, as quantified by the RMET, centrally involves imagination, which is underdeveloped (with a male bias) on the autism spectrum and overdeveloped (with a female bias) on the schizotypy spectrum, with optimal emotion-recognition performance intermediate between the two. The results, in conjunction with previous studies, implicate a combination of optimal imagination and focused attention in enhanced RMET performance.
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Affiliation(s)
- Priya Nahal
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Peter L Hurd
- Centre for Neuroscience, Department of Psychology, University of Alberta, Edmonton, AB, Canada
| | - Silven Read
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Bernard Crespi
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
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