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Ortug A, Guo Y, Feldman HA, Ou Y, Warren JLA, Dieuveuil H, Baumer NT, Faja SK, Takahashi E. Autism-associated brain differences can be observed in utero using MRI. Cereb Cortex 2024; 34:bhae117. [PMID: 38602735 PMCID: PMC11008691 DOI: 10.1093/cercor/bhae117] [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: 01/18/2023] [Revised: 03/01/2024] [Accepted: 03/02/2024] [Indexed: 04/12/2024] Open
Abstract
Developmental changes that occur before birth are thought to be associated with the development of autism spectrum disorders. Identifying anatomical predictors of early brain development may contribute to our understanding of the neurobiology of autism spectrum disorders and allow for earlier and more effective identification and treatment of autism spectrum disorders. In this study, we used retrospective clinical brain magnetic resonance imaging data from fetuses who were diagnosed with autism spectrum disorders later in life (prospective autism spectrum disorders) in order to identify the earliest magnetic resonance imaging-based regional volumetric biomarkers. Our results showed that magnetic resonance imaging-based autism spectrum disorder biomarkers can be found as early as in the fetal period and suggested that the increased volume of the insular cortex may be the most promising magnetic resonance imaging-based fetal biomarker for the future emergence of autism spectrum disorders, along with some additional, potentially useful changes in regional volumes and hemispheric asymmetries.
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Affiliation(s)
- Alpen Ortug
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Yurui Guo
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Henry A Feldman
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Yangming Ou
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Jose Luis Alatorre Warren
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Harrison Dieuveuil
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Nicole T Baumer
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Susan K Faja
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Division of Developmental Medicine, Laboratories of Cognitive Neuroscience, Boston Children's Hospital, Harvard Medical School, Brookline, MA 02115, United States
| | - Emi Takahashi
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
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Dionísio A, Espírito A, Pereira AC, Mouga S, d'Almeida OC, Oliveira G, Castelo-Branco M. Neurochemical differences in core regions of the autistic brain: a multivoxel 1H-MRS study in children. Sci Rep 2024; 14:2374. [PMID: 38287121 PMCID: PMC10824733 DOI: 10.1038/s41598-024-52279-x] [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: 03/06/2023] [Accepted: 01/16/2024] [Indexed: 01/31/2024] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition which compromises various cognitive and behavioural domains. The understanding of the pathophysiology and molecular neurobiology of ASD is still an open critical research question. Here, we aimed to address ASD neurochemistry in the same time point at key regions that have been associated with its pathophysiology: the insula, hippocampus, putamen and thalamus. We conducted a multivoxel proton magnetic resonance spectroscopy (1H-MRS) study to non-invasively estimate the concentrations of total choline (GPC + PCh, tCho), total N-acetyl-aspartate (NAA + NAAG, tNAA) and Glx (Glu + Gln), presenting the results as ratios to total creatine while investigating replication for ratios to total choline as a secondary analysis. Twenty-two male children aged between 10 and 18 years diagnosed with ASD (none with intellectual disability, in spite of the expected lower IQ) and 22 age- and gender-matched typically developing (TD) controls were included. Aspartate ratios were significantly lower in the insula (tNAA/tCr: p = 0.010; tNAA/tCho: p = 0.012) and putamen (tNAA/tCr: p = 0.015) of ASD individuals in comparison with TD controls. The Glx ratios were significantly higher in the hippocampus of the ASD group (Glx/tCr: p = 0.027; Glx/tCho: p = 0.011). Differences in tNAA and Glx indices suggest that these metabolites might be neurochemical markers of region-specific atypical metabolism in ASD children, with a potential contribution for future advances in clinical monitoring and treatment.
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Affiliation(s)
- Ana Dionísio
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
| | - Ana Espírito
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
| | - Andreia C Pereira
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
| | - Susana Mouga
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
- Centro de Desenvolvimento da Criança, Unidade de Neurodesenvolvimento e Autismo, Hospital Pediátrico, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Otília C d'Almeida
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
| | - Guiomar Oliveira
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal
- Centro de Desenvolvimento da Criança, Unidade de Neurodesenvolvimento e Autismo, Hospital Pediátrico, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Faculty of Medicine, University Clinic of Pediatrics, University of Coimbra, Coimbra, Portugal
| | - Miguel Castelo-Branco
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal.
- Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal.
- Faculty of Medicine, University of Coimbra, Pólo das Ciências da Saúde, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal.
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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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Komatsu H, Ono T, Onouchi Y, Onoguchi G, Maita Y, Ishida Y, Maki T, Oba A, Tomita H, Kakuto Y. Polydipsia and autistic traits in patients with schizophrenia spectrum disorders. Front Psychiatry 2023; 14:1205138. [PMID: 37484674 PMCID: PMC10359144 DOI: 10.3389/fpsyt.2023.1205138] [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: 04/13/2023] [Accepted: 06/19/2023] [Indexed: 07/25/2023] Open
Abstract
Introduction Polydipsia, prevalent in 6%-20% of patients with schizophrenia, results in seclusion and prolonged hospitalization. It is also observed in autistic individuals, with previous studies reporting that autism accounted for 20% of all hospitalized patients with polydipsia. The current study investigated the association between polydipsia and autistic traits in patients with schizophrenia spectrum disorders (SSDs) based on the hypothesis that higher autistic traits would be observed in schizophrenic patients with polydipsia. Methods In the first study (study A), the autism-spectrum quotient [(AQ); Japanese version] scores of long-stay inpatients with and without polydipsia were compared. Furthermore, the association between polydipsia and autistic traits was also examined in short-stay inpatients and outpatients with SSDs (study B). Results Study A showed that patients with polydipsia scored significantly higher on the three AQ subscales (attention switching; communication; and imagination) compared to those without. Study B also showed that patients with polydipsia had significantly higher AQ scores overall and for several subscales compared to those without polydipsia. Binary logistic regression analysis of the combined sample showed that male gender and higher autistic traits were significant predictors of polydipsia. Discussion The study highlights the importance of focusing on such traits to understand the pathogenesis of polydipsia in SSD patients.
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Affiliation(s)
- Hiroshi Komatsu
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Miyagi Psychiatric Center, Natori, Japan
| | | | | | - Goh Onoguchi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | | | | | | | - Akiko Oba
- Miyagi Psychiatric Center, Natori, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yoshihisa Kakuto
- Miyagi Psychiatric Center, Natori, Japan
- Department of Community Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
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5
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Xiao L, Jiang S, Wang Y, Gao C, Liu C, Huo X, Li W, Guo B, Wang C, Sun Y, Wang A, Feng Y, Wang F, Sun T. Continuous high-frequency deep brain stimulation of the anterior insula modulates autism-like behavior in a valproic acid-induced rat model. J Transl Med 2022; 20:570. [PMID: 36474209 PMCID: PMC9724311 DOI: 10.1186/s12967-022-03787-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/23/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Until now, the treatment of patients with autism spectrum disorder (ASD) remain a difficult problem. The insula is involved in empathy and sensorimotor integration, which are often impaired in individuals with ASD. Deep brain stimulation, modulating neuronal activity in specific brain circuits, has recently been considered as a promising intervention for neuropsychiatric disorders. Valproic acid (VPA) is a potential teratogenic agent, and prenatal exposure can cause autism-like symptoms including repetitive behaviors and defective sociability. Herein, we investigated the effects of continuous high-frequency deep brain stimulation in the anterior insula of rats exposed to VPA and explored cognitive functions, behavior, and molecular proteins connected to autism spectrum disorder. METHODS VPA-exposed offspring were bilaterally implanted with electrodes in the anterior insula (Day 0) with a recovery period of 1 week. (Day 0-7). High-frequency deep brain stimulation was applied from days 11 to 29. Three behavioral tests, including three-chamber social interaction test, were performed on days 7, 13, 18, 25 and 36, and several rats were used for analysis of immediate early genes and proteomic after deep brain stimulation intervention. Meanwhile, animals were subjected to a 20 day spatial learning and cognitive rigidity test using IntelliCage on day 11. RESULTS Deep brain stimulation improved the sociability and social novelty preference at day 18 prior to those at day 13, and the improvement has reached the upper limit compared to day 25. As for repetitive/stereotypic-like behavior, self- grooming time were reduced at day 18 and reached the upper limit, and the numbers of burried marbles were reduced at day 13 prior to those at day 18 and day 25. The improvements of sociability and social novelty preference were persistent after the stimulation had ceased. Spatial learning ability and cognitive rigidity were unaffected. We identified 35 proteins in the anterior insula, some of which were intimately linked to autism, and their expression levels were reversed upon administration of deep brain stimulation. CONCLUSIONS Autism-like behavior was ameliorated and autism-related proteins were reversed in the insula by deep brain stimulation intervention, these findings reveal that the insula may be a potential target for DBS in the treatment of autism, which provide a theoretical basis for its clinical application., although future studies are still warranted.
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Affiliation(s)
- Lifei Xiao
- grid.412194.b0000 0004 1761 9803Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, 750000 China ,grid.413385.80000 0004 1799 1445Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, 750000 China
| | - Shucai Jiang
- grid.416966.a0000 0004 1758 1470Department of Neurosurgery, Weifang People’s Hospital, Weifang, 261000 China
| | - Yangyang Wang
- grid.412194.b0000 0004 1761 9803Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, 750000 China
| | - Caibin Gao
- grid.413385.80000 0004 1799 1445Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, 750000 China
| | - Cuicui Liu
- grid.477991.5Department of Otolaryngology and Head Surgery, The First People’s Hospital of Yinchuan, Yinchuan, 750000 China
| | - Xianhao Huo
- grid.412194.b0000 0004 1761 9803Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, 750000 China ,grid.413385.80000 0004 1799 1445Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, 750000 China
| | - Wenchao Li
- grid.412194.b0000 0004 1761 9803Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, 750000 China
| | - Baorui Guo
- grid.440288.20000 0004 1758 0451Department of Neurosurgery, Shaanxi Provincial People’s Hospital, Xi’an, 710000 China
| | - Chaofan Wang
- grid.412194.b0000 0004 1761 9803Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, 750000 China
| | - Yu Sun
- grid.412194.b0000 0004 1761 9803Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, 750000 China
| | - Anni Wang
- grid.412194.b0000 0004 1761 9803Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, 750000 China
| | - Yan Feng
- grid.412194.b0000 0004 1761 9803Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, 750000 China
| | - Feng Wang
- grid.13402.340000 0004 1759 700XDepartment of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000 China
| | - Tao Sun
- grid.412194.b0000 0004 1761 9803Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, 750000 China ,grid.413385.80000 0004 1799 1445Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, 750000 China
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Sader M, Williams JHG, Waiter GD. A meta-analytic investigation of grey matter differences in anorexia nervosa and autism spectrum disorder. EUROPEAN EATING DISORDERS REVIEW 2022; 30:560-579. [PMID: 35526083 PMCID: PMC9543727 DOI: 10.1002/erv.2915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 04/21/2022] [Indexed: 11/11/2022]
Abstract
Recent research reports Anorexia Nervosa (AN) to be highly dependent upon neurobiological function. Some behaviours, particularly concerning food selectivity are found in populations with both Autism Spectrum Disorder (ASD) and AN, and there is a proportionally elevated number of anorexic patients exhibiting symptoms of ASD. We performed a systematic review of structural MRI literature with the aim of identifying common structural neural correlates common to both AN and ASD. Across 46 ASD publications, a meta‐analysis of volumetric differences between ASD and healthy controls revealed no consistently affected brain regions. Meta‐analysis of 23 AN publications revealed increased volume within the orbitofrontal cortex and medial temporal lobe, and adult‐only AN literature revealed differences within the genu of the anterior cingulate cortex. The changes are consistent with alterations in flexible reward‐related learning and episodic memory reported in neuropsychological studies. There was no structural overlap between ASD and AN. Findings suggest no consistent neuroanatomical abnormality associated with ASD, and evidence is lacking to suggest that reported behavioural similarities between those with AN and ASD are due to neuroanatomical structural similarities. Findings related to neuroanatomical structure in AN/ASD demonstrate overlap and require revisiting. Meta‐analytic findings show structural increase/decrease versus healthy controls (LPFC/MTL/OFC) in AN, but no clusters found in ASD. The neuroanatomy associated with ASD is inconsistent, but findings in AN reflect condition‐related impairment in executive function and sociocognitive behaviours.
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Affiliation(s)
- Michelle Sader
- Translational Neuroscience, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Justin H G Williams
- Translational Neuroscience, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Gordon D Waiter
- Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
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Zhu Y, Nakatani H, Yassin W, Maikusa N, Okada N, Kunimatsu A, Abe O, Kuwabara H, Yamasue H, Kasai K, Okanoya K, Koike S. Application of a Machine Learning Algorithm for Structural Brain Images in Chronic Schizophrenia to Earlier Clinical Stages of Psychosis and Autism Spectrum Disorder: A Multiprotocol Imaging Dataset Study. Schizophr Bull 2022; 48:563-574. [PMID: 35352811 PMCID: PMC9077435 DOI: 10.1093/schbul/sbac030] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND AND HYPOTHESIS Machine learning approaches using structural magnetic resonance imaging (MRI) can be informative for disease classification; however, their applicability to earlier clinical stages of psychosis and other disease spectra is unknown. We evaluated whether a model differentiating patients with chronic schizophrenia (ChSZ) from healthy controls (HCs) could be applied to earlier clinical stages such as first-episode psychosis (FEP), ultra-high risk for psychosis (UHR), and autism spectrum disorders (ASDs). STUDY DESIGN Total 359 T1-weighted MRI scans, including 154 individuals with schizophrenia spectrum (UHR, n = 37; FEP, n = 24; and ChSZ, n = 93), 64 with ASD, and 141 HCs, were obtained using three acquisition protocols. Of these, data regarding ChSZ (n = 75) and HC (n = 101) from two protocols were used to build a classifier (training dataset). The remainder was used to evaluate the classifier (test, independent confirmatory, and independent group datasets). Scanner and protocol effects were diminished using ComBat. STUDY RESULTS The accuracy of the classifier for the test and independent confirmatory datasets were 75% and 76%, respectively. The bilateral pallidum and inferior frontal gyrus pars triangularis strongly contributed to classifying ChSZ. Schizophrenia spectrum individuals were more likely to be classified as ChSZ compared to ASD (classification rate to ChSZ: UHR, 41%; FEP, 54%; ChSZ, 70%; ASD, 19%; HC, 21%). CONCLUSION We built a classifier from multiple protocol structural brain images applicable to independent samples from different clinical stages and spectra. The predictive information of the classifier could be useful for applying neuroimaging techniques to clinical differential diagnosis and predicting disease onset earlier.
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Affiliation(s)
- Yinghan Zhu
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
| | - Hironori Nakatani
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
- Department of Information Media Technology, School of Information and Telecommunication Engineering, Tokai University, 2-3-23, Takanawa, Minato-ku, Tokyo 108-8619, Japan
| | - Walid Yassin
- Department of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Norihide Maikusa
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
| | - Naohiro Okada
- The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Akira Kunimatsu
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
- Department of Radiology, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Hitoshi Kuwabara
- Department of Psychiatry, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka 431-3192, Japan
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka 431-3192, Japan
| | - Kiyoto Kasai
- The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
- University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB), 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
| | - Kazuo Okanoya
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
- University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB), 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
| | - Shinsuke Koike
- To whom correspondence should be addressed; Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan; tel: +81-3-5454-4327, fax: +81-3-5454-4327, e-mail:
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8
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Jutla A, Foss-Feig J, Veenstra-VanderWeele J. Autism spectrum disorder and schizophrenia: An updated conceptual review. Autism Res 2022; 15:384-412. [PMID: 34967130 PMCID: PMC8931527 DOI: 10.1002/aur.2659] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 11/08/2021] [Accepted: 12/12/2021] [Indexed: 12/19/2022]
Abstract
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.
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Affiliation(s)
- Amandeep Jutla
- Columbia University Vagelos College of Physicians and
Surgeons, 630 W 168th St, New York, NY 10032, United States,New York State Psychiatric Institute, 1051 Riverside
Drive, Mail Unit 78, New York, NY 10032, United States
| | - Jennifer Foss-Feig
- Seaver Autism Center for Research and Treatment, Icahn
School of Medicine at Mount Sinai, Department of Psychiatry, 1 Gustave L. Levy
Place, Box 1230, New York, NY 10029, United States
| | - Jeremy Veenstra-VanderWeele
- Columbia University Vagelos College of Physicians and
Surgeons, 630 W 168th St, New York, NY 10032, United States,New York State Psychiatric Institute, 1051 Riverside
Drive, Mail Unit 78, New York, NY 10032, United States,Center for Autism and the Developing Brain, New
York-Presbyterian Westchester Behavioral Health Center, 21 Bloomingdale Road, White
Plains, NY 10605, United States
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9
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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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10
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Takahashi E, Allan N, Peres R, Ortug A, van der Kouwe AJW, Valli B, Ethier E, Levman J, Baumer N, Tsujimura K, Vargas-Maya NI, McCracken TA, Lee R, Maunakea AK. Integration of structural MRI and epigenetic analyses hint at linked cellular defects of the subventricular zone and insular cortex in autism: Findings from a case study. Front Neurosci 2022; 16:1023665. [PMID: 36817099 PMCID: PMC9935943 DOI: 10.3389/fnins.2022.1023665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 12/20/2022] [Indexed: 02/05/2023] Open
Abstract
Introduction Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social interaction, communication and repetitive, restrictive behaviors, features supported by cortical activity. Given the importance of the subventricular zone (SVZ) of the lateral ventrical to cortical development, we compared molecular, cellular, and structural differences in the SVZ and linked cortical regions in specimens of ASD cases and sex and age-matched unaffected brain. Methods We used magnetic resonance imaging (MRI) and diffusion tractography on ex vivo postmortem brain samples, which we further analyzed by Whole Genome Bisulfite Sequencing (WGBS), Flow Cytometry, and RT qPCR. Results Through MRI, we observed decreased tractography pathways from the dorsal SVZ, increased pathways from the posterior ventral SVZ to the insular cortex, and variable cortical thickness within the insular cortex in ASD diagnosed case relative to unaffected controls. Long-range tractography pathways from and to the insula were also reduced in the ASD case. FACS-based cell sorting revealed an increased population of proliferating cells in the SVZ of ASD case relative to the unaffected control. Targeted qPCR assays of SVZ tissue demonstrated significantly reduced expression levels of genes involved in differentiation and migration of neurons in ASD relative to the control counterpart. Finally, using genome-wide DNA methylation analyses, we identified 19 genes relevant to neurological development, function, and disease, 7 of which have not previously been described in ASD, that were significantly differentially methylated in autistic SVZ and insula specimens. Conclusion These findings suggest a hypothesis that epigenetic changes during neurodevelopment alter the trajectory of proliferation, migration, and differentiation in the SVZ, impacting cortical structure and function and resulting in ASD phenotypes.
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Affiliation(s)
- Emi Takahashi
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Research, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.,Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Nina Allan
- Epigenomics Research Program, Department of Anatomy, Institute for Biogenesis Research, Biochemistry and Physiology, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI, United States
| | - Rafael Peres
- Epigenomics Research Program, Department of Anatomy, Institute for Biogenesis Research, Biochemistry and Physiology, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI, United States
| | - Alpen Ortug
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Research, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.,Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Andre J W van der Kouwe
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Research, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.,Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Briana Valli
- Department of Behavioral Neuroscience, Northeastern University, Boston, MA, United States
| | - Elizabeth Ethier
- Department of Behavioral Neuroscience, Northeastern University, Boston, MA, United States
| | - Jacob Levman
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Research, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.,Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.,Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
| | - Nicole Baumer
- Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States
| | - Keita Tsujimura
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Research, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.,Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Nauru Idalia Vargas-Maya
- Epigenomics Research Program, Department of Anatomy, Institute for Biogenesis Research, Biochemistry and Physiology, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI, United States
| | - Trevor A McCracken
- Epigenomics Research Program, Department of Anatomy, Institute for Biogenesis Research, Biochemistry and Physiology, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI, United States
| | - Rosa Lee
- Epigenomics Research Program, Department of Anatomy, Institute for Biogenesis Research, Biochemistry and Physiology, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI, United States
| | - Alika K Maunakea
- Epigenomics Research Program, Department of Anatomy, Institute for Biogenesis Research, Biochemistry and Physiology, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI, United States
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11
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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: 6] [Impact Index Per Article: 3.0] [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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12
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Deste G, Vita A, Nibbio G, Barlati S, Penn DL, Pinkham AE, Harvey PD. Autistic symptoms in people with schizophrenia: Neurocognitive, socio-cognitive, clinical and real-world functional characteristics of individuals without autistic features. Schizophr Res 2021; 236:12-18. [PMID: 34364032 DOI: 10.1016/j.schres.2021.07.037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 07/27/2021] [Accepted: 07/27/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Autism spectrum disorders (ASD) symptoms are frequent in people living with schizophrenia spectrum disorders (SSD) and have a relevant impact on their daily life. However, current literature is mostly focused on investigating correlates of high levels of ASD symptoms, leaving largely unexplored the clinical, neurocognitive, socio-cognitive and functional characterization of individuals with minimal or absent ASD symptoms, which may represent a peculiar sub-population. METHODS A total of 361 patients (mean age 41.7 years; 117 females) included in the SCOPE study were assessed with clinical, neurocognitive, socio-cognitive, functional capacity, social skills and real-world functioning measures. The severity of ASD symptoms was assessed with the PANSS Autism Severity Scale (PAUSS): individuals with a PAUSS score < 10 were considered without significant ASD symptoms. RESULTS Seventy-two (19.95%) participants had no significant ASD symptoms and presented a less severe clinical status, as well as a better cognitive and socio-cognitive performance and functional profile. Lower non-autistic SSD symptoms severity and better social skills, functional capacity, global cognitive and Theory of Mind/Mental State Attribution (as measured by the Hinting task) performance and real-world social relationships emerged as predictors of non-ASD symptoms status in the logistic regression analyses. CONCLUSION Individuals without ASD symptoms represent a minority of people diagnosed with SSD that appears to be characterized by specific correlates, resulting in a less severe situation and more positive outcomes. As these factors could have a relevant impact on treatment response, assessing the severity of ASD symptoms could be an important step required to define a personalized treatment.
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Affiliation(s)
- Giacomo Deste
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy.
| | - Antonio Vita
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
| | - Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Stefano Barlati
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - David L Penn
- Department of Psychology, University of North Carolina, Chapel Hill, NC, United States of America; School of Psychology, Australian Catholic University, Melbourne, VIC, Australia.
| | - Amy E Pinkham
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States of America; Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, United States of America.
| | - Philip D Harvey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, United States of America; Research Service, Miami VA Healthcare System, United States of America.
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13
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Faria AV, Zhao Y, Ye C, Hsu J, Yang K, Cifuentes E, Wang L, Mori S, Miller M, Caffo B, Sawa A. Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup. Hum Brain Mapp 2020; 42:1034-1053. [PMID: 33377594 PMCID: PMC7856640 DOI: 10.1002/hbm.25276] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 09/29/2020] [Accepted: 10/18/2020] [Indexed: 02/06/2023] Open
Abstract
Multi‐institutional brain imaging studies have emerged to resolve conflicting results among individual studies. However, adjusting multiple variables at the technical and cohort levels is challenging. Therefore, it is important to explore approaches that provide meaningful results from relatively small samples at institutional levels. We studied 87 first episode psychosis (FEP) patients and 62 healthy subjects by combining supervised integrated factor analysis (SIFA) with a novel pipeline for automated structure‐based analysis, an efficient and comprehensive method for dimensional data reduction that our group recently established. We integrated multiple MRI features (volume, DTI indices, resting state fMRI—rsfMRI) in the whole brain of each participant in an unbiased manner. The automated structure‐based analysis showed widespread DTI abnormalities in FEP and rs‐fMRI differences between FEP and healthy subjects mostly centered in thalamus. The combination of multiple modalities with SIFA was more efficient than the use of single modalities to stratify a subgroup of FEP (individuals with schizophrenia or schizoaffective disorder) that had more robust deficits from the overall FEP group. The information from multiple MRI modalities and analytical methods highlighted the thalamus as significantly abnormal in FEP. This study serves as a proof‐of‐concept for the potential of this methodology to reveal disease underpins and to stratify populations into more homogeneous sub‐groups.
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Affiliation(s)
- Andreia V Faria
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yi Zhao
- Department of Biostatistics, Indiana University, School of Medicine, Indianapolis, Indiana, USA
| | - Chenfei Ye
- Department of Electronics and Information, Harbin Institute of Technology Shenzhen Graduate School, Guangdong, China
| | - Johnny Hsu
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kun Yang
- Department Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Elizabeth Cifuentes
- Department Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences and Radiology, Northwestern University, Evanston, Illinois, USA
| | - Susumu Mori
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael Miller
- Department of Biomedical Engineering, The Whiting School of Engineering, Baltimore, Maryland, USA
| | - Brian Caffo
- Department of Biostatistics, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Akira Sawa
- Department Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Biomedical Engineering, The Whiting School of Engineering, Baltimore, Maryland, USA.,Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Mental Health, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
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14
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Vita A, Barlati S, Deste G, Rocca P, Rossi A, Bertolino A, Aguglia E, Amore M, Bellomo A, Biondi M, Carpiniello B, Collantoni E, Cuomo A, D'Ambrosio E, Dell' Osso L, di Giannantonio M, Giordano GM, Marchesi C, Monteleone P, Montemagni C, Oldani L, Pompili M, Roncone R, Rossi R, Siracusano A, Zeppegno P, Nibbio G, Galderisi S, Maj M. The influence of autistic symptoms on social and non-social cognition and on real-life functioning in people with schizophrenia: Evidence from the Italian Network for Research on Psychoses multicenter study. Eur Psychiatry 2020; 63:e98. [PMID: 33168115 PMCID: PMC7737172 DOI: 10.1192/j.eurpsy.2020.99] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Background Autism spectrum disorders (ASDs) and schizophrenia spectrum disorders (SSDs), although conceptualized as separate entities, may share some clinical and neurobiological features. ASD symptoms may have a relevant role in determining a more severe clinical presentation of schizophrenic disorder but their relationships with cognitive aspects and functional outcomes of the disease remain to be addressed in large samples of individuals. Aims To investigate the clinical, cognitive, and functional correlates of ASD symptoms in a large sample of people diagnosed with schizophrenia. Methods The severity of ASD symptoms was measured with the PANSS Autism Severity Scale (PAUSS) in 921 individuals recruited for the Italian Network for Research on Psychoses multicenter study. Based on the PAUSS scores, three groups of subjects were compared on a wide array of cognitive and functional measures. Results Subjects with more severe ASD symptoms showed a poorer performance in the processing speed (p = 0.010), attention (p = 0.011), verbal memory (p = 0.035), and social cognition (p = 0.001) domains, and an overall lower global cognitive composite score (p = 0.010). Subjects with more severe ASD symptoms also showed poorer functional capacity (p = 0.004), real-world interpersonal relationships (p < 0.001), and participation in community-living activities (p < 0.001). Conclusions These findings strengthen the notion that ASD symptoms may have a relevant impact on different aspects of the disease, crucial to the life of people with schizophrenia. Prominent ASD symptoms may characterize a specific subpopulation of individuals with SSD.
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Affiliation(s)
- Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Department of Mental Health and Addiction Services, ASST-Spedali Civili, 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, Brescia, Italy
| | - Giacomo Deste
- Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy
| | - Paola Rocca
- Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
| | - Alessandro Rossi
- Section of Psychiatry, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Alessandro Bertolino
- Department of Neurological and Psychiatric Sciences, University of Bari, Bari, Italy
| | - Eugenio Aguglia
- Department of Clinical and Molecular Biomedicine, Psychiatry Unit, University of Catania, Catania, Italy
| | - Mario Amore
- Section of Psychiatry, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Antonello Bellomo
- Psychiatry Unit, Department of Medical Sciences, University of Foggia, Foggia, Italy
| | - Massimo Biondi
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Bernardo Carpiniello
- Section of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - Enrico Collantoni
- Psychiatric Clinic, Department of Neurosciences, University of Padua, Padua, Italy
| | - Alessandro Cuomo
- Department of Molecular Medicine and Clinical Department of Mental Health, University of Siena, Siena, Italy
| | - Enrico D'Ambrosio
- Department of Neurological and Psychiatric Sciences, University of Bari, Bari, Italy
| | - Liliana Dell' Osso
- Section of Psychiatry, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | | | - Carlo Marchesi
- Department of Neuroscience, Psychiatry Unit, University of Parma, Parma, Italy
| | - Palmiero Monteleone
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Section of Neuroscience, University of Salerno, Salerno, Italy
| | - Cristiana Montemagni
- Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
| | - Lucio Oldani
- Department of Psychiatry, University of Milan, Milan, Italy
| | - Maurizio Pompili
- Department of Neurosciences, Mental Health and Sensory Organs, S. Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Rita Roncone
- Unit of Psychiatry, Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Rodolfo Rossi
- Section of Psychiatry, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Alberto Siracusano
- Department of Systems Medicine, Psychiatry and Clinical Psychology Unit, Tor Vergata University of Rome, Rome, Italy
| | - Patrizia Zeppegno
- Department of Translational Medicine, Psychiatric Unit, University of Eastern Piedmont, Novara, Italy
| | - Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Mario Maj
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
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15
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Social Cognition in Autism and Schizophrenia Spectrum Disorders: The Same but Different? J Autism Dev Disord 2020; 50:3046-3059. [PMID: 32642956 DOI: 10.1007/s10803-020-04408-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Social cognition impairment is a core shared phenotype in both schizophrenia spectrum disorders (SSD) and autism spectrum disorders (ASD). This study compares social cognition performance through four different instruments in a sample of 147 individuals with ASD or SSD and in healthy controls. We found that both clinical groups perform similarly to each other and worse than healthy controls in all social cognition tasks. Only performance on the Movie for the Assessment of Social Cognition (MASC) test was independent of age and intelligence. Proportionately, individuals in the control group made significantly more overmentalization errors than both patients group did and made fewer undermentalization errors than patients with SSD did. AUC analyses showed that the MASC was the instrument that best discriminated between the clinical and control groups. Multivariate analysis showed negative symptom severity as a potential mediator of the association between social cognition deficit and poor global functioning.
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16
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Pina-Camacho L, Boada L, Díaz-Caneja CM, García-Alcón A, Burdeus M, Serrano-Drozdowskyj E, Fraguas D, Moreno C, Parellada M. The Positive and Negative Syndrome Scale for Schizophrenia Autism Severity Scale (PAUSS) in young people with autism and schizophrenia. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2020; 13:118-130. [DOI: 10.1016/j.rpsm.2020.05.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 03/04/2020] [Accepted: 05/16/2020] [Indexed: 12/13/2022]
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Abu-Akel A, Philip RCM, Lawrie SM, Johnstone EC, Stanfield AC. Categorical and Dimensional Approaches to Examining the Joint Effect of Autism and Schizotypal Personality Disorder on Sustained Attention. Front Psychiatry 2020; 11:798. [PMID: 32848955 PMCID: PMC7426517 DOI: 10.3389/fpsyt.2020.00798] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 07/24/2020] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Accumulating evidence for the co-occurrence autism spectrum disorder (ASD) and schizotypal personality disorder (SPD) at both the diagnostic and symptom levels raises important questions about the nature of their association and the effect of their co-occurrence on the individual's phenotype and functional outcome. Research comparing adults with ASD and SPD, as well as the impact of their co-occurrence on outcomes is extremely limited. We investigated executive functioning in terms of response inhibition and sustained attention, candidate endophenotypes of both conditions, in adults with ASD, SPD, comorbid ASD and SPD, and neurotypical adults using both categorical and dimensional approaches. METHODS A total of 88 adults (Mean Age = 37.54; SD = 10.17): ASD (n = 26; M/F = 20/6); SPD (n = 20; M/F = 14/6); comorbid ASD and SPD (n=9; M/F=6/3) and neurotypicals (n=33; M/F=23/10) completed the Sustained Attention to Response Task (SART) in both its fixed and random forms. Positive and autistic symptom severity was assessed with the positive subscale of the Positive and Negative Syndrome Scale (PANSSpos) and the PANSS Autism Severity Score (PAUSS), respectively. RESULTS Controlling for full scale IQ, working memory and medication dosage, group analyses revealed that the comorbid group committed fewer omission errors than the ASD group on the fixed SART, and fewer omission errors than the ASD and SPD groups on the random SART. The individual difference analyses of the entire sample revealed that the PANSSpos and PAUSS interactively reduced omission errors in both the fixed and random SARTs, as well as increased d' scores, indicative of improved overall performance. We observed no significant results for commission errors or reaction time. CONCLUSIONS Concurrent elevated levels of autistic and positive psychotic symptoms seem to be associated with improved sustained attention abilities (reduced omission errors) but not inhibition (commission errors). Our findings highlight the importance of investigating the concurrent effect of ASD and SPD at both the symptom and diagnostic levels, and raise important questions for future research regarding the clinical and behavioral phenotypes of adults with dual diagnosis and, more generally, about the nature of the relationship between ASD and SPD.
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Affiliation(s)
- Ahmad Abu-Akel
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland
| | - Ruth C M Philip
- Tailor Ed Foundation, Edinburgh, United Kingdom.,Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen M Lawrie
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Eve C Johnstone
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Andrew C Stanfield
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom.,Patrick Wild Centre, University of Edinburgh, Edinburgh, United Kingdom
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18
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Deste G, Vita A, Penn DL, Pinkham AE, Nibbio G, Harvey PD. Autistic symptoms predict social cognitive performance in patients with schizophrenia. Schizophr Res 2020; 215:113-119. [PMID: 31780344 PMCID: PMC7035981 DOI: 10.1016/j.schres.2019.11.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 05/30/2019] [Accepted: 11/04/2019] [Indexed: 12/27/2022]
Abstract
Schizophrenia spectrum disorders and Autism Spectrum Disorders (ASD) share many similarities. Among those features, social cognitive impairment is recognized as a key characteristic of both ASD and schizophrenia. In this study, the role of ASD symptoms, measured with the PANSS Autism Severity Score (PAUSS), was investigated as a predictor of social cognitive performance in patients with Schizophrenia spectrum disorders. Existent databases from 2 studies (SCOPE Phase 3 and SCOPE Phase 5), in which a total of 361 patients (mean age 41.7 years; 117 females) were assessed with tests of mental state attribution and emotion recognition, were analyzed. Less severe ASD symptoms, as well as younger age, better premorbid IQ, and neurocognition were identified as individual predictors of better social cognitive performance. These results suggest a role of ASD symptoms in affecting social cognitive performance in schizophrenia.
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Affiliation(s)
| | - Antonio Vita
- Spedali Civili Hospital, Brescia, Italy; University of Brescia, School of Medicine, Italy.
| | - David L. Penn
- Department of Psychology, University of North Carolina,
Chapel Hill, NC, United States of America,School of Psychology, Australian Catholic University,
Melbourne, VIC, Australia
| | - Amy E. Pinkham
- School of Behavioral and Brain Sciences, The University of
Texas at Dallas, Richardson, TX, United States of America,Department of Psychiatry, University of Texas Southwestern
Medical School, Dallas, TX, United States of America
| | | | - Philip D. Harvey
- Department of Psychiatry and Behavioral Sciences,
University of Miami Miller School of Medicine, Miami, FL, United States of
America,Research Service, Miami VA Healthcare System, United
States of America
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19
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Clarkson T, Kang E, Capriola-Hall N, Lerner MD, Jarcho J, Prinstein MJ. Meta-Analysis of the RDoC Social Processing Domain across Units of Analysis in Children and Adolescents. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2019; 49:297-321. [PMID: 31799882 DOI: 10.1080/15374416.2019.1678167] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE This meta-analysis advances a framework to understand correspondence among units of analysis of the social processing construct within Research Domain Criteria (RDoC). METHOD As requested for this special issue, eligible studies cited an RDoC-initiative paper or mentioned RDoC in the abstract, title, or keywords were empirical and peer reviewed, and described a correlation or regression analysis (r, β, or odds ratio) between two different units of analysis in the social processing domain in youth. We examined the frequency (descriptive statistics) and magnitude of correspondence between unit-pairs (random effects models), and predefined moderators (meta-regression). RESULTS Eight of the twenty-eight possible unit-by-unit pairs were identified, with subjective-by-behavior units being the most common. Of those, only subjective-by-circuit had significant correspondence between units. Moderator analysis revealed that the age and diagnosis of generalized anxiety disorder moderated correspondence between subjective-by-circuit units of analysis, and that a diagnosis of autism spectrum disorder moderated correspondence between subjective-by-gene units of analysis. Younger ages and inclusion of either diagnostic group reduced correspondence. CONCLUSIONS These findings indicate that the RDoC initiative has generated limited research within the social processing domain across units of analysis in youth to date. Moreover, National Institute of Mental Health (NIMH)-funded studies do not appear to be biased toward supporting the RDoC framework. However, the limited number of included studies precludes the generalizability of these findings and underscores the need for further research. Despite this, results suggest that the NIMH model for providing standard batteries of measurement tools may effectively reduce spurious correlations between subjective-by-behavior units of analysis.
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Affiliation(s)
| | - Erin Kang
- Department of Psychology, Stony Brook University
| | | | | | | | - Mitchell J Prinstein
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill
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20
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Díaz-Caneja CM, Schnack H, Martínez K, Santonja J, Alemán-Gomez Y, Pina-Camacho L, Moreno C, Fraguas D, Arango C, Parellada M, Janssen J. Neuroanatomical deficits shared by youth with autism spectrum disorders and psychotic disorders. Hum Brain Mapp 2019; 40:1643-1653. [PMID: 30569528 DOI: 10.1002/hbm.24475] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 10/23/2018] [Accepted: 10/25/2018] [Indexed: 12/12/2022] Open
Abstract
Autism spectrum disorders (ASD) and early-onset psychosis (EOP) are neurodevelopmental disorders that share genetic, clinical and cognitive facets; it is unclear if these disorders also share spatially overlapping cortical thickness (CT) and surface area (SA) abnormalities. MRI scans of 30 ASD, 29 patients with early-onset first-episode psychosis (EO-FEP) and 26 typically developing controls (TD) (age range 10-18 years) were analyzed by the FreeSurfer suite to calculate vertex-wise estimates of CT, SA, and cortical volume. Two publicly available datasets of ASD and EOP (age range 7-18 years and 5-17 years, respectively) were used for replication analysis. ASD and EO-FEP had spatially overlapping areas of cortical thinning and reduced SA in the bilateral insula (all p's < .00002); 37% of all left insular vertices presenting with significant cortical thinning and 20% (left insula) and 61% (right insula) of insular vertices displaying decreased SA overlapped across both disorders. In both disorders, SA deficits contributed more to cortical volume decreases than reductions in CT did. This finding, as well as the novel finding of an absence of spatial overlap (for ASD) or marginal overlap (for EOP) of deficits in CT and SA, was replicated in the two nonoverlapping independent samples. The insula appears to be a region with transdiagnostic vulnerability for deficits in CT and SA. The finding of nonexistent or small spatial overlap between CT and SA deficits in young people with ASD and psychosis may point to the involvement of common aberrant early neurodevelopmental mechanisms in their pathophysiology.
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Affiliation(s)
- Covadonga M Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Ciber del Área de Salud Mental (CIBERSAM), Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,School of Medicine, Universidad Complutense, Madrid, Spain
| | - Hugo Schnack
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kenia Martínez
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Ciber del Área de Salud Mental (CIBERSAM), Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Javier Santonja
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Yasser Alemán-Gomez
- Center for Psychiatric Neuroscience, Department of Psychiatry, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.,Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.,Medical Image Analysis Laboratory (MIAL), Centre d'Imagerie BioMédicale (CIBM), Lausanne, Switzerland
| | - Laura Pina-Camacho
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Ciber del Área de Salud Mental (CIBERSAM), Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,School of Medicine, Universidad Complutense, Madrid, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Ciber del Área de Salud Mental (CIBERSAM), Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,School of Medicine, Universidad Complutense, Madrid, Spain
| | - David Fraguas
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Ciber del Área de Salud Mental (CIBERSAM), Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,School of Medicine, Universidad Complutense, Madrid, Spain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Ciber del Área de Salud Mental (CIBERSAM), Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,School of Medicine, Universidad Complutense, Madrid, Spain
| | - Mara Parellada
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Ciber del Área de Salud Mental (CIBERSAM), Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,School of Medicine, Universidad Complutense, Madrid, Spain
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Ciber del Área de Salud Mental (CIBERSAM), Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
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21
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Ogawa R, Kagitani-Shimono K, Matsuzaki J, Tanigawa J, Hanaie R, Yamamoto T, Tominaga K, Hirata M, Mohri I, Taniike M. Abnormal cortical activation during silent reading in adolescents with autism spectrum disorder. Brain Dev 2019; 41:234-244. [PMID: 30448302 DOI: 10.1016/j.braindev.2018.10.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Revised: 09/15/2018] [Accepted: 10/25/2018] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Autism spectrum disorder (ASD) is a developmental disorder characterized by communication deficits and social difficulties, and individuals with ASD frequently exhibit varied levels of language abilities. However, the neurophysiological mechanisms underlying their language deficits remain unclear. To gain insight into the neurophysiological mechanisms of receptive language deficits, we assessed cortical activation patterns in adolescents with ASD during silent word-reading. METHODS We used magnetoencephalography to measure cortical activation during a silent word-reading task in 14 adolescent boys with high-functioning ASD and 17 adolescent boys with typical development (TD). RESULTS Compared with participants with TD, those with ASD exhibited significantly decreased cortical activation in the left middle temporal gyrus, left temporoparietal junction, bilateral superior temporal gyrus, left posterior insula, and right occipitotemporal gyrus, and increased activation in the right anterior insula. Participants with ASD also exhibited a lack of left-lateralization in the central sulcus and abnormal right-lateralization in the anterior insula area. Furthermore, in participants with ASD, we found that abnormal activation of the right central sulcus correlated significantly with lower visual word comprehension scores, and that decreased activation of the right anterior insula correlated significantly with the severity of social interaction difficulties. CONCLUSION Our findings suggest that atypical cortical activation and lateralization in the temporal-frontal area, which is associated with higher-order language processing functions, such as semantic analysis, may play a crucial role in visual word comprehension and social interaction difficulties in adolescents with ASD.
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Affiliation(s)
- Rei Ogawa
- United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - Kuriko Kagitani-Shimono
- United Graduate School of Child Development, Osaka University, Osaka, Japan; Molecular Research Center for Children's Mental Development, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Pediatrics, Osaka University Graduate School of Medicine, Osaka, Japan.
| | - Junko Matsuzaki
- United Graduate School of Child Development, Osaka University, Osaka, Japan; Molecular Research Center for Children's Mental Development, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Junpei Tanigawa
- Department of Pediatrics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Ryuzo Hanaie
- United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - Tomoka Yamamoto
- Molecular Research Center for Children's Mental Development, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Koji Tominaga
- United Graduate School of Child Development, Osaka University, Osaka, Japan; Molecular Research Center for Children's Mental Development, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Pediatrics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Masayuki Hirata
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Ikuko Mohri
- United Graduate School of Child Development, Osaka University, Osaka, Japan; Molecular Research Center for Children's Mental Development, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Pediatrics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Masako Taniike
- United Graduate School of Child Development, Osaka University, Osaka, Japan; Molecular Research Center for Children's Mental Development, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Pediatrics, Osaka University Graduate School of Medicine, Osaka, Japan
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22
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Deste G, Barlati S, Gregorelli M, Lisoni J, Turrina C, Valsecchi P, Vita A. Looking through autistic features in schizophrenia using the PANSS Autism Severity Score (PAUSS). Psychiatry Res 2018; 270:764-768. [PMID: 30551322 DOI: 10.1016/j.psychres.2018.10.074] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 10/15/2018] [Accepted: 10/28/2018] [Indexed: 02/01/2023]
Abstract
Autism spectrum disorder (ASD) and schizophrenia share several features. However, the assessment of ASD in schizophrenia is difficult. Aim of this study is to investigate the possibility to use the PANSS Autism Severity Score (PAUSS) to recognize autistic features in schizophrenia. The PAUSS was administered to 75 patients with schizophrenia, previously assessed with ASD diagnostic scales. PAUSS total scores were higher in patients with ASD, compared to those without ASD. Patients with PAUSS score higher than the cut-off proposed for ASD showed specific neuropsychological and functional characteristics. The PAUSS may be useful to identify patients with schizophrenia autistic features.
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Affiliation(s)
- Giacomo Deste
- Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy.
| | - Stefano Barlati
- Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy
| | - Michela Gregorelli
- Center Diagnosis Care and Autism Research (CDRA), ULSS 9 Scaligera, Luna Association Onlus, Verona Italy, Brescia, Italy
| | - Jacopo Lisoni
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Cesare Turrina
- Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Paolo Valsecchi
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Antonio Vita
- Department of Mental Health and Addiction Services, ASST-Spedali Civili, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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23
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Soler J, Fañanás L, Parellada M, Krebs MO, Rouleau GA, Fatjó-Vilas M. Genetic variability in scaffolding proteins and risk for schizophrenia and autism-spectrum disorders: a systematic review. J Psychiatry Neurosci 2018; 43:223-244. [PMID: 29947605 PMCID: PMC6019351 DOI: 10.1503/jpn.170066] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 10/18/2017] [Accepted: 11/13/2017] [Indexed: 12/13/2022] Open
Abstract
Scaffolding proteins represent an evolutionary solution to controlling the specificity of information transfer in intracellular networks. They are highly concentrated in complexes located in specific subcellular locations. One of these complexes is the postsynaptic density of the excitatory synapses. There, scaffolding proteins regulate various processes related to synaptic plasticity, such as glutamate receptor trafficking and signalling, and dendritic structure and function. Most scaffolding proteins can be grouped into 4 main families: discs large (DLG), discs-large-associated protein (DLGAP), Shank and Homer. Owing to the importance of scaffolding proteins in postsynaptic density architecture, it is not surprising that variants in the genes that code for these proteins have been associated with neuropsychiatric diagnoses, including schizophrenia and autism-spectrum disorders. Such evidence, together with the clinical, neurobiological and genetic overlap described between schizophrenia and autism-spectrum disorders, suggest that alteration of scaffolding protein dynamics could be part of the pathophysiology of both. However, despite the potential importance of scaffolding proteins in these psychiatric conditions, no systematic review has integrated the genetic and molecular data from studies conducted in the last decade. This review has the following goals: to systematically analyze the literature in which common and/or rare genetic variants (single nucleotide polymorphisms, single nucleotide variants and copy number variants) in the scaffolding family genes are associated with the risk for either schizophrenia or autism-spectrum disorders; to explore the implications of the reported genetic variants for gene expression and/or protein function; and to discuss the relationship of these genetic variants to the shared genetic, clinical and cognitive traits of schizophrenia and autism-spectrum disorders.
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Affiliation(s)
- Jordi Soler
- From the Secció Zoologia i Antropologia Biològica, Dept Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Spain (Soler, Fañanás, Fatjó-Vilas); the Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain (Soler, Fañanás, Parellada, Fatjó-Vilas); Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón, Madrid, Spain, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense, Madrid, Spain (Parellada); the Centre Hospitalier Sainte-Anne, Service Hospitalo-Universitaire, Faculté de Médecine Paris Descartes, Paris, France (Krebs); the Université Paris Descartes, Inserm Centre de Psychiatrie et Neurosciences, Laboratoire de Physiopathologie des Maladies Psychiatriques, Paris, France (Krebs); the CNRS, GDR 3557, Institut de Psychiatrie, Paris, France (Krebs); the Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, QC (Rouleau); and the FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain (Fatjó-Vilas)
| | - Lourdes Fañanás
- From the Secció Zoologia i Antropologia Biològica, Dept Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Spain (Soler, Fañanás, Fatjó-Vilas); the Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain (Soler, Fañanás, Parellada, Fatjó-Vilas); Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón, Madrid, Spain, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense, Madrid, Spain (Parellada); the Centre Hospitalier Sainte-Anne, Service Hospitalo-Universitaire, Faculté de Médecine Paris Descartes, Paris, France (Krebs); the Université Paris Descartes, Inserm Centre de Psychiatrie et Neurosciences, Laboratoire de Physiopathologie des Maladies Psychiatriques, Paris, France (Krebs); the CNRS, GDR 3557, Institut de Psychiatrie, Paris, France (Krebs); the Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, QC (Rouleau); and the FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain (Fatjó-Vilas)
| | - Mara Parellada
- From the Secció Zoologia i Antropologia Biològica, Dept Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Spain (Soler, Fañanás, Fatjó-Vilas); the Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain (Soler, Fañanás, Parellada, Fatjó-Vilas); Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón, Madrid, Spain, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense, Madrid, Spain (Parellada); the Centre Hospitalier Sainte-Anne, Service Hospitalo-Universitaire, Faculté de Médecine Paris Descartes, Paris, France (Krebs); the Université Paris Descartes, Inserm Centre de Psychiatrie et Neurosciences, Laboratoire de Physiopathologie des Maladies Psychiatriques, Paris, France (Krebs); the CNRS, GDR 3557, Institut de Psychiatrie, Paris, France (Krebs); the Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, QC (Rouleau); and the FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain (Fatjó-Vilas)
| | - Marie-Odile Krebs
- From the Secció Zoologia i Antropologia Biològica, Dept Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Spain (Soler, Fañanás, Fatjó-Vilas); the Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain (Soler, Fañanás, Parellada, Fatjó-Vilas); Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón, Madrid, Spain, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense, Madrid, Spain (Parellada); the Centre Hospitalier Sainte-Anne, Service Hospitalo-Universitaire, Faculté de Médecine Paris Descartes, Paris, France (Krebs); the Université Paris Descartes, Inserm Centre de Psychiatrie et Neurosciences, Laboratoire de Physiopathologie des Maladies Psychiatriques, Paris, France (Krebs); the CNRS, GDR 3557, Institut de Psychiatrie, Paris, France (Krebs); the Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, QC (Rouleau); and the FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain (Fatjó-Vilas)
| | - Guy A Rouleau
- From the Secció Zoologia i Antropologia Biològica, Dept Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Spain (Soler, Fañanás, Fatjó-Vilas); the Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain (Soler, Fañanás, Parellada, Fatjó-Vilas); Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón, Madrid, Spain, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense, Madrid, Spain (Parellada); the Centre Hospitalier Sainte-Anne, Service Hospitalo-Universitaire, Faculté de Médecine Paris Descartes, Paris, France (Krebs); the Université Paris Descartes, Inserm Centre de Psychiatrie et Neurosciences, Laboratoire de Physiopathologie des Maladies Psychiatriques, Paris, France (Krebs); the CNRS, GDR 3557, Institut de Psychiatrie, Paris, France (Krebs); the Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, QC (Rouleau); and the FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain (Fatjó-Vilas)
| | - Mar Fatjó-Vilas
- From the Secció Zoologia i Antropologia Biològica, Dept Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Spain (Soler, Fañanás, Fatjó-Vilas); the Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain (Soler, Fañanás, Parellada, Fatjó-Vilas); Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón, Madrid, Spain, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense, Madrid, Spain (Parellada); the Centre Hospitalier Sainte-Anne, Service Hospitalo-Universitaire, Faculté de Médecine Paris Descartes, Paris, France (Krebs); the Université Paris Descartes, Inserm Centre de Psychiatrie et Neurosciences, Laboratoire de Physiopathologie des Maladies Psychiatriques, Paris, France (Krebs); the CNRS, GDR 3557, Institut de Psychiatrie, Paris, France (Krebs); the Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, QC (Rouleau); and the FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain (Fatjó-Vilas)
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Lysaker PH, Pattison ML, Leonhardt BL, Phelps S, Vohs JL. Insight in schizophrenia spectrum disorders: relationship with behavior, mood and perceived quality of life, underlying causes and emerging treatments. World Psychiatry 2018; 17:12-23. [PMID: 29352540 PMCID: PMC5775127 DOI: 10.1002/wps.20508] [Citation(s) in RCA: 141] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Poor insight in schizophrenia is prevalent across cultures and phases of illness. In this review, we examine the recent research on the relationship of insight with behavior, mood and perceived quality of life, on its complex roots, and on the effects of existing and emerging treatments. This research indicates that poor insight predicts poorer treatment adherence and therapeutic alliance, higher symptom severity and more impaired community function, while good insight predicts a higher frequency of depression and demoralization, especially when coupled with stigma and social disadvantage. This research also suggests that poor insight may arise in response to biological, experiential, neuropsychological, social-cognitive, metacognitive and socio-political factors. Studies of the effects of existing and developing treatments indicate that they may influence insight. In the context of earlier research and historical models, these findings support an integrative model of poor insight. This model suggests that insight requires the integration of information about changes in internal states, external circumstances, others' perspectives and life trajectory as well as the multifaceted consequences and causes of each of those changes. One implication is that treatments should, beyond providing education, seek to assist persons with schizophrenia to integrate the broad range of complex and potentially deeply painful experiences which are associated with mental illness into their own personally meaningful, coherent and adaptive picture.
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Affiliation(s)
- Paul H Lysaker
- Roudebush VA Medical Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Michelle L Pattison
- College of Applied Behavioral Sciences, University of Indianapolis, Indianapolis, IN, USA
| | - Bethany L Leonhardt
- Indiana University School of Medicine, Eskenazi Health-Midtown Community Mental Health, Indianapolis, IN, USA
| | | | - Jenifer L Vohs
- Indiana University School of Medicine, Indianapolis, IN, USA
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25
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Fernandes JM, Cajão R, Lopes R, Jerónimo R, Barahona-Corrêa JB. Social Cognition in Schizophrenia and Autism Spectrum Disorders: A Systematic Review and Meta-Analysis of Direct Comparisons. Front Psychiatry 2018; 9:504. [PMID: 30459645 PMCID: PMC6232921 DOI: 10.3389/fpsyt.2018.00504] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Accepted: 09/25/2018] [Indexed: 11/13/2022] Open
Abstract
Background: Deficits in social cognition are well-recognized in both schizophrenia and autism spectrum disorders (ASD). However, it is less clear how social cognition deficits differ between both disorders and what distinct mechanisms may underlie such differences. We aimed at reviewing available evidence from studies directly comparing social cognitive performance between individuals with schizophrenia and ASD. Methods: We performed a systematic review of literature up to May 22, 2018 on Pubmed, Web of Science, and Scopus. Search terms included combinations of the keywords "social cognition," "theory of mind," "autism," "Asperger," "psychosis," and "schizophrenia." Two researchers independently selected and extracted data according to PRISMA guidelines. Random-effects meta-analyses were conducted for performance on social cognitive tasks evaluating: (1) emotion perception; (2) theory of mind (ToM); (3) emotional intelligence (managing emotions score of the Mayer-Salovey-Caruso Emotional Intelligence Test); and (4) social skills. Results: We identified 19 eligible studies for meta-analysis including a total of 1,040 patients (558 with schizophrenia and 482 with ASD). Eight studies provided data on facial emotion perception that evidenced a better performance by participants with schizophrenia compared to those with ASD (Hedges' g = 0.43; p = 0.031). No significant differences were found between groups in the Reading the Mind in the Eyes Test (8 studies; Hedges' g = 0.22; p = 0.351), other ToM tasks (9 studies; Hedges' g = -0.03; p = 0.903), emotional intelligence (3 studies; Hedges' g = -0.17; p = 0.490), and social skills (3 studies; Hedges' g = 0.86; p = 0.056). Participants' age was a significant moderator of effect size in emotion perception and RMET analyzes, with larger differences favoring patients with schizophrenia being observed in studies with younger participants. Conclusions: The instruments that are currently available to evaluate social cognition poorly differentiate between individuals with schizophrenia and ASD. Combining behavioral tasks with neurophysiologic assessments may better characterize the differences in social cognition between both disorders.
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Affiliation(s)
- João Miguel Fernandes
- Department of Psychiatry and Mental Health, NOVA Medical School
- Faculdade de Ciências Médicas, Centro Hospitalar de Lisboa Ocidental, Lisbon, Portugal
| | - Rute Cajão
- Department of Psychiatry and Mental Health, Centro Hospitalar Tondela-Viseu, Viseu, Portugal
| | - Ricardo Lopes
- Instituto Universitário de Lisboa (ISCTE-IUL), CIS-IUL, Lisbon, Portugal.,CADIN-Neurodevelopment, Cascais, Portugal
| | - Rita Jerónimo
- Instituto Universitário de Lisboa (ISCTE-IUL), CIS-IUL, Lisbon, Portugal
| | - J Bernardo Barahona-Corrêa
- Department of Psychiatry and Mental Health, NOVA Medical School
- Faculdade de Ciências Médicas, Centro Hospitalar de Lisboa Ocidental, Lisbon, Portugal.,CADIN-Neurodevelopment, Cascais, Portugal.,Champalimaud Clinical Centre, Champalimaud Centre for the Unkown, Lisbon, Portugal.,Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
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