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Denisova K, Wolpert DM. Sensorimotor variability distinguishes early features of cognition in toddlers with autism. iScience 2024; 27:110685. [PMID: 39252975 PMCID: PMC11381898 DOI: 10.1016/j.isci.2024.110685] [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: 02/09/2024] [Revised: 07/03/2024] [Accepted: 08/05/2024] [Indexed: 09/11/2024] Open
Abstract
The potential role of early sensorimotor features to atypical human cognition in autistic children has received surprisingly little attention given that appropriate movements are a crucial element that connects us to other people. We examined quantitative and observation-based movements in over 1,000 toddlers diagnosed with autism spectrum disorder (ASD) with different levels of cognitive abilities (intelligence quotient, IQ). Relative to higher-IQ ASD toddlers, those with lower-IQ had significantly altered sensorimotor features. Remarkably, we found that higher IQ in autistic toddlers confers resilience to atypical movement, as sensorimotor features in higher-IQ ASD children were indistinguishable from those of typically developing healthy control toddlers. We suggest that the altered movement patterns may affect key autistic behaviors in those with lower intelligence by affecting sensorimotor learning mechanisms. Atypical sensorimotor functioning is a key feature in lower-IQ early childhood autism. These findings have implications for the development of individualized interventions for subtypes of autism.
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Affiliation(s)
- Kristina Denisova
- Division of Math and Natural Sciences, Department of Psychology, Autism Origins Lab, City University of New York, Queens College and Graduate Center, New York, NY 10032, USA
| | - Daniel M Wolpert
- Zuckerman Mind Brain Behavior Institute & Department of Neuroscience, Columbia University, New York, NY 10027, USA
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Goodrich AJ, Kleeman MJ, Tancredi DJ, Ludeña YJ, Bennett DH, Hertz-Picciotto I, Schmidt RJ. Pre-pregnancy ozone and ultrafine particulate matter exposure during second year of life associated with decreased cognitive and adaptive functioning at aged 2-5 years. ENVIRONMENTAL RESEARCH 2024; 252:118854. [PMID: 38574983 DOI: 10.1016/j.envres.2024.118854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 03/17/2024] [Accepted: 03/31/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND This study sought to investigate the association of prenatal and early life exposure to a mixture of air pollutants on cognitive and adaptive outcomes separately in children with or without autism spectrum disorder (ASD). METHODS Utilizing data from the CHARGE case-control study (birth years: 2000-2016), we predicted daily air concentrations of NO2, O3, and particulate matter <0.1 μm (PM0.1), between 0.1 and 2.5 μm (PM0.1-2.5), and between 2.5 and 10 μm (PM2.5-10) using chemical transport models with ground-based monitor adjustments. Exposures were evaluated for pre-pregnancy, each trimester, and the first two years of life. Individual and combined effects of pollutants were assessed with Vineland Adaptive Behavior Scales (VABS) and Mullen Scales of Early Learning (MSEL), separately for children with ASD (n = 660) and children without ASD (typically developing (TD) and developmentally delayed (DD) combined; n = 753) using hierarchical Bayesian Kernel Machine Regression (BKMR) models with three groups: PM size fractions (PM0.1, PM0.1-2.5, PM2.5-10), NO2, and O3. RESULTS Pre-pregnancy Ozone was strongly negatively associated with all scores in the non-ASD group (group posterior inclusion probability (gPIP) = 0.83-1.00). The PM group during year 2 was also strongly negatively associated with all scores in the non-ASD group (gPIP = 0.59-0.93), with PM0.1 driving the group association (conditional PIP (cPIP) = 0.73-0.96). Weaker and less consistent associations were observed between PM0.1-2.5 during pre-pregnancy and ozone during year 1 and VABS scores in the ASD group. CONCLUSIONS These findings prompt further investigation into ozone and ultrafine PM as potential environmental risk factors for neurodevelopment.
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Affiliation(s)
- Amanda J Goodrich
- Department of Public Health Sciences, School of Medicine, University of California Davis, 128 Medical Sciences 1C, One Shields Ave, Sacramento, CA, USA.
| | - Michael J Kleeman
- Department of Civil and Environmental Engineering, University of California Davis, Sacramento, CA, USA
| | - Daniel J Tancredi
- Department of Pediatrics, University of California Davis, Sacramento, CA, USA
| | - Yunin J Ludeña
- Department of Public Health Sciences, School of Medicine, University of California Davis, 128 Medical Sciences 1C, One Shields Ave, Sacramento, CA, USA; Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis, Sacramento, CA, USA
| | - Deborah H Bennett
- Department of Public Health Sciences, School of Medicine, University of California Davis, 128 Medical Sciences 1C, One Shields Ave, Sacramento, CA, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, School of Medicine, University of California Davis, 128 Medical Sciences 1C, One Shields Ave, Sacramento, CA, USA; Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis, Sacramento, CA, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences, School of Medicine, University of California Davis, 128 Medical Sciences 1C, One Shields Ave, Sacramento, CA, USA; Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis, Sacramento, CA, USA
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Denisova K. Neurobiology of cognitive abilities in early childhood autism. JCPP ADVANCES 2024; 4:e12214. [PMID: 38827984 PMCID: PMC11143961 DOI: 10.1002/jcv2.12214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 11/12/2023] [Indexed: 06/05/2024] Open
Abstract
This perspective considers complexities in the relationship between impaired cognitive abilities and autism from a maturational, developmental perspective, and aims to serve as a helpful guide for the complex and growing investigation of cognitive abilities and Autism Spectrum Disorder (ASD). Low Intelligence Quotient (IQ) and ASD are frequently co-occurring. About 37% of 8-year old children and 48% of 4-year old children diagnosed with ASD also have Intellectual Disability, with IQ below 70. And, low IQ in early infancy, including below 1 year of age, carries a 40% greater chance of receiving ASD diagnosis in early childhood. We consider the evidence that may explain this co-occurrence, including the possibility that high IQ may "rescue" the social communication issues, as well as the possible role of critical periods during growth and development. We consider how early low IQ may subsume a part of a subgroup of individuals with ASD, in particular, those diagnosed with autism in very early childhood, and we provide neurobiological evidence in support of this subtype. Moreover, we distinguish the concept of early low IQ from the delay in speech onset in preschool and school-aged children, based on (i) age and (ii) impairments in both verbal and non-verbal domains. The etiology of these early-diagnosed, early low IQ ASD cases is different from later-diagnosed, average or higher-IQ cases, and from children with speech delay onset. Given recent interest in formulating new subtypes of autism, rather than continuing to conceive of ASD as a spectrum, as well as new subtypes that vary in the degree of severity along the spectrum, we identify gaps in knowledge and directions for future work in this complex and growing area.
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Affiliation(s)
- Kristina Denisova
- Division of Math and Natural SciencesDepartment of PsychologyAutism Origins LabCity University of New YorkQueens College and Graduate CenterQueensNew YorkUSA
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Ozonoff S, Gangi D, Corona L, Foster T, Hill MM, Honaker M, Maqbool S, Ni R, Nicholson A, Parikh C, Stone C, Spitler AK, Swanson A, Vehorn A, Wagner L, Weitlauf A, Warren Z. Measuring Developmental Delays: Comparison of Parent Report and Direct Testing. J Autism Dev Disord 2024:10.1007/s10803-024-06292-8. [PMID: 38407697 PMCID: PMC11345885 DOI: 10.1007/s10803-024-06292-8] [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: 02/13/2024] [Indexed: 02/27/2024]
Abstract
PURPOSE Developmental assessment is part of a comprehensive autism evaluation. During in-person evaluations, developmental assessment is completed via direct testing by an examiner. In telehealth evaluations, developmental assessment relies on caregiver-report instruments. This study examined correspondence between caregiver report and direct testing of developmental skills. METHODS Participants were 93 children, aged 18-42 months, undergoing evaluation for possible autism spectrum disorder (ASD). Caregivers were interviewed with the Developmental Profile, 4th edition (DP-4) via telehealth platform and children were tested in person 2-4 weeks later using the Mullen Scales of Early Learning (MSEL). RESULTS Correlations between the DP-4 and MSEL were high (ranging from 0.50 to 0.82) across standard scores, age equivalents, and functional categories, as well as across individual subtests and overall composite scores. CONCLUSION The high convergent validity found in this study suggests that the DP-4 provides a suitable proxy for direct developmental testing using the MSEL in the context of telehealth evaluations for ASD in young children, delivering a good estimate of both developmental functioning and presence of delays. TRIAL REGISTRATION Data were obtained from registered clinical trial NCT05047224, date of registration 2021-09-07.
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Affiliation(s)
- Sally Ozonoff
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California- Davis, 2825 50th Street, Sacramento, CA, USA.
| | - Devon Gangi
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California- Davis, 2825 50th Street, Sacramento, CA, USA
| | - Laura Corona
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Tori Foster
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Monique Moore Hill
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California- Davis, 2825 50th Street, Sacramento, CA, USA
| | - Makayla Honaker
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Shyeena Maqbool
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California- Davis, 2825 50th Street, Sacramento, CA, USA
| | - Rachel Ni
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California- Davis, 2825 50th Street, Sacramento, CA, USA
| | - Amy Nicholson
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Chandni Parikh
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California- Davis, 2825 50th Street, Sacramento, CA, USA
| | - Caitlin Stone
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Anna Kathleen Spitler
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Amy Swanson
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alison Vehorn
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Liliana Wagner
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Amy Weitlauf
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Zachary Warren
- Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
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Girard D, Courchesne V, Cimon-Paquet C, Jacques C, Soulières I. Visual abilities and exploration behaviors as predictors of intelligence in autistic children from preschool to school age. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2023; 27:2446-2464. [PMID: 37113016 DOI: 10.1177/13623613231166189] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
LAY ABSTRACT At the time of diagnosis, parents of autistic children frequently wonder what the future holds for their children in terms of intellectual development. It remains however difficult to answer this question at such a young age. Indeed, while early precursors of intelligence are well known for children following a typical development, these precursors remain to be identified for autistic children. Some theoretical models of intelligence suggest that perceptual abilities or behaviors, as seen early in autistic cognitive development, could be early indicators of intelligence. However, research examining the relation between early perceptual predictors and autistic intelligence over time is needed. This article is the first to consider a variety of early perceptual abilities and behaviors as precursors/predictors of intelligence at school age in autistic children. We showed that better performance in perceptual tasks at preschool age predicted better intellectual abilities measured later in autistic children. Importantly, our sample of autistic children represented the whole spectrum, including children with few to no spoken words, who are an important proportion of autistic preschoolers. While early perceptual abilities and behaviors may not substitute for a formal intellectual assessment, our results support that these indices may help estimate later intellectual level in autistic children. Perceptual abilities have the advantage to be easy to observe at preschool age and seem to fit the cognitive style of autistic children. Assessment methods could probably gain from including and focusing more on the perceptual strengths of autistic children.
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Affiliation(s)
- Dominique Girard
- Autism Research Group, CIUSSS-NIM, Hôpital en santé mentale Rivière-des-Prairies, Montreal, Canada
| | - Valérie Courchesne
- Autism Research Group, CIUSSS-NIM, Hôpital en santé mentale Rivière-des-Prairies, Montreal, Canada
| | | | - Claudine Jacques
- Department of psychoedcation and psychology, Université du Québec en Outaouais, Canada
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Denisova K, Lin Z. The importance of low IQ to early diagnosis of autism. Autism Res 2023; 16:122-142. [PMID: 36373182 PMCID: PMC9839551 DOI: 10.1002/aur.2842] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 10/19/2022] [Indexed: 11/15/2022]
Abstract
Some individuals can flexibly adapt to life's changing demands while others, in particular those with Autism Spectrum Disorder (ASD), find it challenging. The origin of early individual differences in cognitive abilities, the putative tools with which to navigate novel information in life, including in infants later diagnosed with ASD remains unexplored. Moreover, the role of intelligence quotient (IQ) vis-à-vis core features of autism remains debated. We systematically investigate the contribution of early IQ in future autism outcomes in an extremely large, population-based study of 8000 newborns, infants, and toddlers from the US between 2 and 68 months with over 15,000 cross-sectional and longitudinal assessments, and for whom autism outcomes are ascertained or ruled out by about 2-4 years. This population is representative of subjects involved in the National Institutes of Health (NIH)-funded research, mainly on atypical development, in the US. Analyses using predetermined age bins showed that IQ scores are consistently lower in ASD relative to typically developing (TD) children at all ages (p < 0.001), and IQ significantly correlates with social, non-social, and total Calibrated Severity Scores (CSS) on the Autism Diagnostic Observation Schedule (ADOS) (p<0.01). Lower IQ is associated with greater autistic impairments. Note, verbal IQ (VIQ) is no better than the full-scale IQ to predict ASD cases. These findings raise new, compelling questions about potential atypical brain circuitry affecting performance in both verbal and nonverbal abilities and preceding an ASD diagnosis. This study is the first to establish prospectively that low early IQ is a major feature of ASD in early childhood. LAY SUMMARY: The role of IQ scores in autism remains debated. We systematically investigate the contribution of early IQ in an extremely large study of 8,000 children between 2 and 68 months with autism outcomes by about 2-4 years. We show that IQ scores are consistently lower in ASD relative to TD children. This study is the first to establish prospectively that low early IQ is a predictor for ASD diagnosis in early childhood.
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Affiliation(s)
- Kristina Denisova
- Laboratory of Autism Origins and Mind and Brain Development, Division of Math and Natural Sciences, Department of Psychology, Queens College and Graduate Center City University of New York New York New York USA
| | - Zhichun Lin
- Laboratory of Autism Origins and Mind and Brain Development, Division of Math and Natural Sciences, Department of Psychology, Queens College and Graduate Center City University of New York New York New York USA
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