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Carty A, Green R, Goodman CV, McLaughlin JR, Hu H, Lanphear B, Muckle G, Till C. Performance of the Social Responsiveness Scale-2 for the Assessment of Autistic Behaviors in a Sample of Canadian Preschool-Aged Children. J Autism Dev Disord 2024:10.1007/s10803-024-06487-z. [PMID: 39102070 DOI: 10.1007/s10803-024-06487-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2024] [Indexed: 08/06/2024]
Abstract
Behavioral traits of autism spectrum disorder (ASD) typically present in early childhood, underscoring the importance of screening tools for the early identification of ASD. The current study compared scores on the Social Responsiveness Scale-Second Edition (SRS-2) Preschool Form between the US standardization sample (n = 247) and a Canadian cohort of preschool-aged children (n = 595) recruited from the Maternal-Infant Research on Environmental Chemicals (MIREC) study. In the MIREC sample, we examined whether ASD-like traits are correlated with sociodemographic characteristics and child intellectual abilities, and how maternal ratings of social skills assessed by the SRS-2 are associated with maternal ratings of general problem behaviors. Mean total SRS-2 raw score was significantly lower in the MIREC sample (mean = 29.7, SD = 15.8) compared to the US standardization sample (mean = 41.9, SD = 26.0). Total raw score in the US standardization sample did not significantly differ between males (mean = 40.6, SD = 23.1) and females (mean = 42.8, SD = 28.7), whereas in the MIREC sample the total raw score was significantly higher among males (mean = 33.0, SD = 17.1) than females (mean = 26.6, SD = 13.9). A significantly larger proportion of the MIREC sample was White, younger in age, and had more educated parents compared to the US standardization sample. ASD-like traits were correlated with lower intellectual abilities, a less enriched home environment, more behavioral problems, and poorer adaptive skills. SRS-2 Preschool Form scores were significantly lower in the Canadian sample compared to the US standardization sample, which may reflect demographic differences between the two groups. Girls may be under-identified when SRS-2 Preschool Form norms are used for screening ASD.
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Affiliation(s)
- Adele Carty
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Rivka Green
- Department of Psychology, Faculty of Health, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada
| | - Carly V Goodman
- Department of Psychology, Faculty of Health, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada
| | - John R McLaughlin
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Howard Hu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Bruce Lanphear
- Child and Family Research Institute, Faculty of Health Sciences, BC Children's Hospital Research Institute, Simon Fraser University, Vancouver, BC, Canada
| | - Gina Muckle
- Centre Hospitalier Universitaire (CHU) de Québec Research Centre, School of Psychology, Laval University, Quebec, QC, Canada
| | - Christine Till
- Department of Psychology, Faculty of Health, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada.
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Wang SH, Zhou Q, Chen KY, Ceng CQ, Zhan GD, You C, Xing Y, Zou YY, Deng HZ. Cognitive-adaptive Functioning Gap and Mediating Factors that Impact Adaptive Functioning in Chinese Preschool-aged Children with Autism Spectrum Disorder. J Autism Dev Disord 2024; 54:3107-3121. [PMID: 37326789 DOI: 10.1007/s10803-023-06029-z] [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] [Accepted: 05/29/2023] [Indexed: 06/17/2023]
Abstract
This study aimed to investigate the gap between adaptive functioning and cognitive functioning, especially verbal and nonverbal intelligence quotient (IQ) in Chinese children with ASD. We systematically explored cognitive functioning, ASD severity, early signs of developmental abnormalities, and socioeconomic factors as mediating factors of adaptive functioning. We enrolled 151 children (age: 2.5?6 years) with ASD and categorized them into one group with IQ ≥ 70 and another with IQ < 70. The two groups were calibrated for age, age at diagnosis, and IQ, and the relationship of adaptive skills with vocabulary acquisition index (VAI) and nonverbal index (NVI) were separately analyzed. Results show that the gap between IQ and adaptive functioning was significant in children with ASD having IQ ≥ 70, with both VAI and NVI showing statistically significant differences (all P < 0.001). VAI correlated positively with scores for overall adaptive skills and specific domains, whereas NVI had no significant correlations with adaptive skill scores. Age of first walking unaided had an independent positive correlation (all P < 0.05) with scores of adaptive skills and specific domains. IQ-adaptive functioning gap is significant in children with ASD having IQ ≥ 70, suggesting that defining "high-functioning autism" merely on the basis of IQ is not appropriate. Verbal IQ and early signs of motor development are specific and possible predictors of adaptive functioning in children with ASD, respectively.
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Affiliation(s)
- Shi-Huan Wang
- Child Developmental and Behavioral Center, the Third Affiliated Hospital of Sun Yat-sen University, No.600, Tianhe Road, Guangzhou, 510630, China.
| | - Qing Zhou
- Department of Nursing, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510630, China
| | - Kai-Yun Chen
- Child Developmental and Behavioral Center, the Third Affiliated Hospital of Sun Yat-sen University, No.600, Tianhe Road, Guangzhou, 510630, China
| | - Chao-Qun Ceng
- Child Developmental and Behavioral Center, the Third Affiliated Hospital of Sun Yat-sen University, No.600, Tianhe Road, Guangzhou, 510630, China
| | - Guo-Dong Zhan
- Child Developmental and Behavioral Center, the Third Affiliated Hospital of Sun Yat-sen University, No.600, Tianhe Road, Guangzhou, 510630, China
| | - Cong You
- Child Developmental and Behavioral Center, the Third Affiliated Hospital of Sun Yat-sen University, No.600, Tianhe Road, Guangzhou, 510630, China
| | - Yu Xing
- Child Developmental and Behavioral Center, the Third Affiliated Hospital of Sun Yat-sen University, No.600, Tianhe Road, Guangzhou, 510630, China
| | - Yuan-Yuan Zou
- Child Developmental and Behavioral Center, the Third Affiliated Hospital of Sun Yat-sen University, No.600, Tianhe Road, Guangzhou, 510630, China
| | - Hong-Zhu Deng
- Child Developmental and Behavioral Center, the Third Affiliated Hospital of Sun Yat-sen University, No.600, Tianhe Road, Guangzhou, 510630, China.
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Seyed-Alipour S, Alaghband-Rad J, Faraji S, Hooshyari Z, Tehranidoost M, Motamed M. Cognitive functioning in adults with autism spectrum disorder. APPLIED NEUROPSYCHOLOGY. ADULT 2024:1-8. [PMID: 38635408 DOI: 10.1080/23279095.2024.2336201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
INTRODUCTION Neuropsychological deficits in areas of Executive Functioning (EF), theory of mind, and central coherence have been well-documented among children and adolescents with autism spectrum disorder (ASD); however, there remains a significant gap in knowledge with regards to neuropsychological profile in adults with ASD. This study aims to investigate the intellectual functioning and neuropsychological profiles of a clinical population of adults with ASD. METHODS This cross-sectional study included 40 available autistic individuals referred to an adult developmental disorders clinic at a hospital between 2021 and 2022. All participants were assessed using the Stanford-Binet Intelligence Scale (SBIS), Autism Spectrum Quotient (AQ), Ritvo Autism Asperger Diagnostic Scale-Revised (RAADS-R), and Social Responsiveness Scale (SRS). RESULTS Individuals with ASD exhibited lower IQ scores across all domains of the Stanford-Binet Intelligence Scale, compared to the general population, although the mean IQ scores remained within the normal range. Significant differences were observed in Full Scale IQ, Verbal IQ, Non-Verbal IQ, Fluid Reasoning, Knowledge, Quantitative Reasoning, Visual-Spatial Processing, and Working Memory compared to the general population. Additionally, autistic individuals' performance on verbal knowledge was higher compared to non-verbal knowledge. No significant correlations were found between the total and subscale scores of verbal and nonverbal IQ and AQ, RAADS-R, and SRS scores. CONCLUSION Considering the significant impacts of cognitive and executive function on the social and occupational aspects of autistic adults, further investigations in this area are warranted.
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Affiliation(s)
- Sajedeh Seyed-Alipour
- Roozbeh Hospital, Faculty of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran
| | - Javad Alaghband-Rad
- Roozbeh Hospital, Faculty of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran
| | - Saba Faraji
- Roozbeh Hospital, Faculty of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Hooshyari
- Ziaeian Hospital, Faculty of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Tehranidoost
- Roozbeh Hospital, Faculty of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahtab Motamed
- Roozbeh Hospital, Faculty of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran
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Zhang J, Zhang Z, Sun H, Ma Y, Yang J, Chen K, Yu X, Qin T, Zhao T, Zhang J, Chu C, Wang J. Personalized functional network mapping for autism spectrum disorder and attention-deficit/hyperactivity disorder. Transl Psychiatry 2024; 14:92. [PMID: 38346949 PMCID: PMC10861462 DOI: 10.1038/s41398-024-02797-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 01/11/2024] [Accepted: 01/22/2024] [Indexed: 02/15/2024] Open
Abstract
Autism spectrum disorder (ASD) and Attention-deficit/hyperactivity disorder (ADHD) are two typical neurodevelopmental disorders that have a long-term impact on physical and mental health. ASD is usually comorbid with ADHD and thus shares highly overlapping clinical symptoms. Delineating the shared and distinct neurophysiological profiles is important to uncover the neurobiological mechanisms to guide better therapy. In this study, we aimed to establish the behaviors, functional connectome, and network properties differences between ASD, ADHD-Combined, and ADHD-Inattentive using resting-state functional magnetic resonance imaging. We used the non-negative matrix fraction method to define personalized large-scale functional networks for each participant. The individual large-scale functional network connectivity (FNC) and graph-theory-based complex network analyses were executed and identified shared and disorder-specific differences in FNCs and network attributes. In addition, edge-wise functional connectivity analysis revealed abnormal edge co-fluctuation amplitude and number of transitions among different groups. Taken together, our study revealed disorder-specific and -shared regional and edge-wise functional connectivity and network differences for ASD and ADHD using an individual-level functional network mapping approach, which provides new evidence for the brain functional abnormalities in ASD and ADHD and facilitates understanding the neurobiological basis for both disorders.
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Affiliation(s)
- Jiang Zhang
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Zhiwei Zhang
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Hui Sun
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Yingzi Ma
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China
| | - Jia Yang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China
| | - Kexuan Chen
- Medical School, Kunming University of Science and Technology, Kunming, China
| | - Xiaohui Yu
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China
| | - Tianwei Qin
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Tianyu Zhao
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Jingyue Zhang
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Congying Chu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China.
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming, Yunnan, China.
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Francis S, Tseng A, Rawls E, Conelea C, Grissom N, Kummerfeld E, Ma S, Jacob S. Integrating Causal Discovery and Clinically-Relevant Insights to Explore Directional Relationships between Autistic Features, Sex at Birth, and Cognitive Abilities. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.21.23300348. [PMID: 38196591 PMCID: PMC10775686 DOI: 10.1101/2023.12.21.23300348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Prevalence in autism spectrum disorder (ASD) diagnosis has long been strongly male-biased. Yet, consensus has not been reached on mechanisms and clinical features that underlie sex-based discrepancies. Whereas females may be under-diagnosed because of inconsistencies in diagnostic/ascertainment procedures (sex-biased criteria, social camouflaging), diagnosed males may have exhibited more overt behaviors (e.g., hyperactivity, aggression) that prompted clinical evaluation. Applying a novel network-theory-based approach, we extracted data-driven, clinically-relevant insights from a large, well-characterized sample (Simons Simplex Collection) of 2175 autistic males (Ages = 8.9±3.5 years) and 334 autistic females (Ages = 9.2±3.7 years). Exploratory factor analysis (EFA) and expert clinical review reduced data dimensionality to 15 factors of interest. To offset inherent confounds of an imbalanced sample, we identified a subset of males (N=331) matched to females on key variables (Age, IQ) and applied data-driven CDA using Greedy Fast Causal Inference (GFCI) for three groups (All Females, All Males, and Matched Males). Structural equation modeling (SEM) extracted measures of model fit and effect sizes for causal relationships between sex, age, and, IQ on EFA-selected factors capturing phenotypic representations of autism across sensory, social, and restricted and repetitive behavior domains. Our methodology unveiled sex-specific directional relationships to inform developmental outcomes and targeted interventions.
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Cundari M, Vestberg S, Gustafsson P, Gorcenco S, Rasmussen A. Neurocognitive and cerebellar function in ADHD, autism and spinocerebellar ataxia. Front Syst Neurosci 2023; 17:1168666. [PMID: 37415926 PMCID: PMC10321758 DOI: 10.3389/fnsys.2023.1168666] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 06/06/2023] [Indexed: 07/08/2023] Open
Abstract
The cerebellum plays a major role in balance, motor control and sensorimotor integration, but also in cognition, language, and emotional regulation. Several neuropsychiatric disorders such as attention deficit-hyperactivity disorder (ADHD), autism spectrum disorder (ASD), as well as neurological diseases such as spinocerebellar ataxia type 3 (SCA3) are associated with differences in cerebellar function. Morphological abnormalities in different cerebellar subregions produce distinct behavioral symptoms related to the functional disruption of specific cerebro-cerebellar circuits. The specific contribution of the cerebellum to typical development may therefore involve the optimization of the structure and function of cerebro-cerebellar circuits underlying skill acquisition in multiple domains. Here, we review cerebellar structural and functional differences between healthy and patients with ADHD, ASD, and SCA3, and explore how disruption of cerebellar networks affects the neurocognitive functions in these conditions. We discuss how cerebellar computations contribute to performance on cognitive and motor tasks and how cerebellar signals are interfaced with signals from other brain regions during normal and dysfunctional behavior. We conclude that the cerebellum plays a role in many cognitive functions. Still, more clinical studies with the support of neuroimaging are needed to clarify the cerebellum's role in normal and dysfunctional behavior and cognitive functioning.
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Affiliation(s)
- Maurizio Cundari
- Department of Experimental Medical Science, Faculty of Medicine, Lund University, Lund, Sweden
- Unit of Neuropsychiatry, Hospital of Helsingborg, Helsingborg, Sweden
- Unit of Neurology, Hospital of Helsingborg, Helsingborg, Sweden
| | - Susanna Vestberg
- Department of Psychology, Faculty of Social Science, Lund University, Lund, Sweden
| | - Peik Gustafsson
- Child and Adolescent Psychiatry, Department of Clinical Sciences Lund, Medical Faculty, Lund University, Lund, Sweden
| | - Sorina Gorcenco
- Department for Clinical Sciences Lund, Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Anders Rasmussen
- Department of Experimental Medical Science, Faculty of Medicine, Lund University, Lund, Sweden
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7
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Li JH, Zhao JZ, Hua L, Hu XL, Tang LN, Yang T, He TY, Hu C, Yu XQ, Xiong TT, Wu DD, Hao Y. Efficacy of Children Neuropsychological and Behavioral Scale in Screening for Autism Spectrum Disorders through a Combination of Developmental Surveillance. Curr Med Sci 2023:10.1007/s11596-023-2698-5. [PMID: 37115393 DOI: 10.1007/s11596-023-2698-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 07/22/2022] [Indexed: 04/29/2023]
Abstract
OBJECTIVE This study aimed to explore the clinical value of Children Neuropsychological and Behavioral Scale-Revision 2016 (CNBS-R2016) for Autism Spectrum Disorder (ASD) screening in the presence of developmental surveillance. METHODS All participants were evaluated by the CNBS-R2016 and Gesell Developmental Schedules (GDS). Spearman's correlation coefficients and Kappa values were obtained. Taking GDS as a reference assessment, the performance of the CNBS-R2016 for detecting the developmental delays of children with ASD was analyzed with receiver operating characteristic (ROC) curves. The efficacy of the CNBS-R2016 to screen for ASD was explored by comparing Communication Warning Behavior with Autism Diagnostic Observation Schedule, Second Edition (ADOS-2). RESULTS In total, 150 children aged 12-42 months with ASD were enrolled. The developmental quotients of the CNBS-R2016 were correlated with those of the GDS (r=0.62-0.94). The CNBS-R2016 and GDS had good diagnostic agreement for developmental delays (Kappa=0.73-0.89), except for Fine Motor. There was a significant difference between the proportions of Fine Motor, delays detected by the CNBS-R2016 and GDS (86.0% vs. 77.3%). With GDS as a standard, the areas under the ROC curves of the CNBS-R2016 were above 0.95 for all the domains except Fine Motor, which was 0.70. In addition, the positive rate of ASD was 100.0% and 93.5% when the cut-off points of 7 and 12 in the Communication Warning Behavior subscale were used, respectively. CONCLUSION The CNBS-R2016 performed well in developmental assessment and screening for children with ASD, especially by Communication Warning Behaviors subscale. Therefore, the CNBS-R2016 is worthy of clinical application in children with ASD in China.
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Affiliation(s)
- Jin-Hui Li
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jin-Zhu Zhao
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Li Hua
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiao-Lin Hu
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Li-Na Tang
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ting Yang
- Chongqing Key Laboratory of Childhood Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, 404100, China
| | - Tian-Yi He
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Chen Hu
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiao-Qun Yu
- Future Health Biotechnologies, Chengdu, 61000, China
| | - Ting-Ting Xiong
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Dan-Dan Wu
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yan Hao
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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8
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Leisman G, Melillo R, Melillo T. Prefrontal Functional Connectivities in Autism Spectrum Disorders: A Connectopathic Disorder Affecting Movement, Interoception, and Cognition. Brain Res Bull 2023; 198:65-76. [PMID: 37087061 DOI: 10.1016/j.brainresbull.2023.04.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/05/2023] [Accepted: 04/17/2023] [Indexed: 04/24/2023]
Abstract
The prefrontal cortex is included in a neuronal system that includes the basal ganglia, the thalamus, and the cerebellum. Most of the higher and more complex motor, cognitive, and emotional behavioral functions are thought to be found primarily in the frontal lobes. Insufficient connectivity between the medial prefrontal cortex (mPFC) and other regions of the brain that are distant from each other involved in top-down information processing rely on the global integration of data from multiple input sources and enhance low level perception processes (bottom-up information processing). The reduced deactivation in mPFC and in the rest of the Default Network during global task processing is consistent with the integrative modulatory role served by the mPFC. We stress the importance of understanding the degree to which sensory and movement anomalies in individuals with autism spectrum disorder (ASD) can contribute to social impairment. Further investigation on the neurobiological basis of sensory symptoms and its relationship to other clinical features found in ASD is required Treatment perhaps should not be first behaviorally based but rather based on facilitating sensory motor development.
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Affiliation(s)
- Gerry Leisman
- Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa, Israel; University of the Medical Sciences of Havana, Department of Clinical Neurophysiology, Institute of Neurology and Neurosurgery, Havana, Cuba.
| | - Robert Melillo
- Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa, Israel
| | - Ty Melillo
- Northeast College of the Health Sciencs, Seneca Falls, NY USA
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9
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Hong SJ, Mottron L, Park BY, Benkarim O, Valk SL, Paquola C, Larivière S, Vos de Wael R, Degré-Pelletier J, Soulieres I, Ramphal B, Margolis A, Milham M, Di Martino A, Bernhardt BC. A convergent structure-function substrate of cognitive imbalances in autism. Cereb Cortex 2023; 33:1566-1580. [PMID: 35552620 PMCID: PMC9977381 DOI: 10.1093/cercor/bhac156] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/28/2022] [Accepted: 03/29/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a common neurodevelopmental diagnosis showing substantial phenotypic heterogeneity. A leading example can be found in verbal and nonverbal cognitive skills, which vary from elevated to impaired compared with neurotypical individuals. Moreover, deficits in verbal profiles often coexist with normal or superior performance in the nonverbal domain. METHODS To study brain substrates underlying cognitive imbalance in ASD, we capitalized categorical and dimensional IQ profiling as well as multimodal neuroimaging. RESULTS IQ analyses revealed a marked verbal to nonverbal IQ imbalance in ASD across 2 datasets (Dataset-1: 155 ASD, 151 controls; Dataset-2: 270 ASD, 490 controls). Neuroimaging analysis in Dataset-1 revealed a structure-function substrate of cognitive imbalance, characterized by atypical cortical thickening and altered functional integration of language networks alongside sensory and higher cognitive areas. CONCLUSION Although verbal and nonverbal intelligence have been considered as specifiers unrelated to autism diagnosis, our results indicate that intelligence disparities are accentuated in ASD and reflected by a consistent structure-function substrate affecting multiple brain networks. Our findings motivate the incorporation of cognitive imbalances in future autism research, which may help to parse the phenotypic heterogeneity and inform intervention-oriented subtyping in ASD.
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Affiliation(s)
- Seok-Jun Hong
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery and Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, Quebec H3A2B4, Canada.,Center for Neuroscience Imaging Research, Institute for Basic Science, Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon 16419, South Korea.,Department of Biomedical Engineering, Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon 16419, South Korea.,Center for the Developing Brain, Child Mind Institute, 101 East 56th Street, New York, NY 10022, United States
| | - Laurent Mottron
- Centre de Recherche du CIUSSSNIM and Department of Psychiatry and Addictology, Université de Montréal, 7070 boulevard Perras, Montréal, Quebec H1E 1A4, Canada
| | - Bo-Yong Park
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery and Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, Quebec H3A2B4, Canada.,Center for Neuroscience Imaging Research, Institute for Basic Science, Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon 16419, South Korea.,Department of Data Science, Inha Univerisity, Incheon 22212, South Korea
| | - Oualid Benkarim
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery and Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, Quebec H3A2B4, Canada
| | - Sofie L Valk
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery and Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, Quebec H3A2B4, Canada.,Otto Hahn group Cognitive neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraβe 1A. Leipzig D-04103, Germany.,Institute of Neuroscience and Medicine, Research Centre Wilhelm-Johnen-Strasse, Jülich 52425, Germany.,Institute of Systems Neuroscience, Heinrich Heine University, Moorenstr. 5, Düsseldorf 40225, Germany
| | - Casey Paquola
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery and Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, Quebec H3A2B4, Canada.,Institute of Neuroscience and Medicine, Research Centre Wilhelm-Johnen-Strasse, Jülich 52425, Germany
| | - Sara Larivière
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery and Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, Quebec H3A2B4, Canada
| | - Reinder Vos de Wael
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery and Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, Quebec H3A2B4, Canada
| | - Janie Degré-Pelletier
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery and Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, Quebec H3A2B4, Canada.,Department of Psychology, Université du Québec à Montréal, 100 rue Sherbrooke Ouest, Montréal, Québec H2X 3P2, Canada
| | - Isabelle Soulieres
- Department of Psychology, Université du Québec à Montréal, 100 rue Sherbrooke Ouest, Montréal, Québec H2X 3P2, Canada
| | - Bruce Ramphal
- Department of Psychiatry, The New York State Psychiatric Institute and the College of Physicians Surgeons, Columbia University, 1051 Riverside Drive, New York, NY 10032, United States
| | - Amy Margolis
- Department of Psychiatry, The New York State Psychiatric Institute and the College of Physicians Surgeons, Columbia University, 1051 Riverside Drive, New York, NY 10032, United States
| | - Michael Milham
- Center for the Developing Brain, Child Mind Institute, 101 East 56th Street, New York, NY 10022, United States.,Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, 140 Old Orangeburg Road, Orangeburg, NY 10962, United States
| | - Adriana Di Martino
- Autism Center, Child Mind Institute, 101 East 56th Street, New York, NY 10022, United States
| | - Boris C Bernhardt
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery and Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, Quebec H3A2B4, Canada
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10
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Taking Sides: Asymmetries in the Evolution of Human Brain Development in Better Understanding Autism Spectrum Disorder. Symmetry (Basel) 2022. [DOI: 10.3390/sym14122689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Confirmation from structural, functional, and behavioral studies agree and suggest a configuration of atypical lateralization in individuals with autistic spectrum disorders (ASD). It is suggested that patterns of cortical and behavioral atypicality are evident in individuals with ASDs with atypical lateralization being common in individuals with ASDs. The paper endeavors to better understand the relationship between alterations in typical cortical asymmetries and functional lateralization in ASD in evolutionary terms. We have proposed that both early genetic and/or environmental influences can alter the developmental process of cortical lateralization. There invariably is a “chicken or egg” issue that arises whether atypical cortical anatomy associated with abnormal function, or alternatively whether functional atypicality generates abnormal structure.
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11
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Wolff N, Stroth S, Kamp-Becker I, Roepke S, Roessner V. Autism Spectrum Disorder and IQ - A Complex Interplay. Front Psychiatry 2022; 13:856084. [PMID: 35509885 PMCID: PMC9058071 DOI: 10.3389/fpsyt.2022.856084] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 03/02/2022] [Indexed: 01/02/2023] Open
Abstract
Autism spectrum disorder (ASD) is characterized as a very heterogeneous child-onset disorder, whose heterogeneity is partly determined by differences in intelligence quotient (IQ). Older epidemiological studies suggested that the IQ-related spectrum tends to be skewed to the left, i.e., a larger proportion of individuals with ASD have below average intelligence, while only few individuals with ASD may have an IQ above average. This picture changed over time with broadening the spectrum view. Within the present perspective article, we discuss discrepancies in IQ profiles between epidemiological and clinical studies and identify potential underlying aspects, for example, the influence of external factors such as sample biases or differences in availability of autism health services. Additionally, we discuss the validity and reciprocal influences of ASD diagnostics and IQ measurement. We put the impact of these factors for diagnostic as well as care and support situations of patients into perspective and want to encourage further research to contribute to the conceptualization of "autism" more comprehensively including the IQ as well as to examine broader (life) circumstances, interacting factors and diagnostic requirements of given diagnoses in childhood as compared to adulthood.
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Affiliation(s)
- Nicole Wolff
- Department of Child and Adolescent Psychiatry, Medical Faculty of the Technische Universität (TU) Dresden, Dresden, Germany
| | - Sanna Stroth
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Philipps University of Marburg, Marburg, Germany
| | - Inge Kamp-Becker
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Philipps University of Marburg, Marburg, Germany
| | - Stefan Roepke
- Department of Psychiatry, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Medical Faculty of the Technische Universität (TU) Dresden, Dresden, Germany
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12
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McLeod JWH, McCrimmon AW. Variables Associated With Successful Treatment Outcomes of Autistic Youth Enrolled in PEERS. Front Psychiatry 2022; 13:834801. [PMID: 35386528 PMCID: PMC8977621 DOI: 10.3389/fpsyt.2022.834801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
This study sought to examine how certain variables of autistic youth who completed a formal social intervention program (PEERS) predicted social skill improvement post intervention. Specifically, this research aimed to determine if age, gender, emotional intelligence, intellectual ability, and/or autism symptomatology predicted social skill outcomes. Using extant data from parent and self-report batteries, change scores and multiple regressions were employed to examine which variables accounted for social skill improvement. Only intellectual ability (FSIQ), specifically perceptual reasoning, significantly predicted social skill outcomes based upon teen self-report, suggesting that autistic youth with specific cognitive profiles may be benefit more from PEERS. This research also exemplifies the heterogeneous nature of autism symptomology and the continued need for research examining social skill interventions. Limitations and future directions are discussed.
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Affiliation(s)
- Justin W H McLeod
- Werklund School of Education, University of Calgary, Calgary, AB, Canada
| | - Adam W McCrimmon
- Werklund School of Education, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
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