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Annual Research Review: Infant development, autism, and ADHD – early pathways to emerging disorders
Open accessAbstract
Background: Autism spectrum disorders ( ASD ) and attention deficit hyperactivity disorder ( ADHD ) are two of the most common neurodevelopmental disorders, with a high degree of co‐occurrence. Methods: Prospective longitudinal studies of infants who later meet criteria for ASD or ADHD offer the opportunity to determine whether the two disorders share developmental pathways. Results: Prospective studies of younger siblings of children with autism have revealed a range of infant behavioral and neural markers associated with later diagnosis of ASD . Research on infants with later ADHD is less developed, but emerging evidence reveals a number of relations between infant measures and later symptoms of inattention and hyperactivity. Conclusions: We review this literature, highlighting points of convergence and divergence in the early pathways to ASD and ADHD .
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Executive function and developmental disorders: the flip side of the coin
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Putative neural substrate of normal and abnormal general movements
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Sensory gating in young children with autism: Relation to age, IQ, and EEG gamma oscillations
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Pragmatic deficits and social impairment in children with ADHD
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Early Focused Attention Predicts Outcome for Children Born Prematurely
LAWSON, K. R., & RUFF, H. A. (2004) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/00004703-200412000-00003 · Cited by 173
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Fine motor skill predicts expressive language in infant siblings of children with autism
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Cortical activity patterns in ADHD during arousal, activation and sustained attention
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The Mechanisms Underlying the ASD Advantage in Visual Search
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Early Language Profiles in Infants at High-Risk for Autism Spectrum Disorders
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Compared to What? Early Brain Overgrowth in Autism and the Perils of Population Norms
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Individual differences in language development: relationship with motor skill at 21 months
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Early attention and negative emotionality predict later cognitive and behavioural function
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Toddlers with Elevated Autism Symptoms Show Slowed Habituation to Faces
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Visual Sustained Attention in a Child Psychiatric Population
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Posture Development in Infants at Heightened versus Low Risk for Autism Spectrum Disorders
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General movements in infants with autism spectrum disorders.
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Early Medical and Behavioral Characteristics of NICU Infants Later Classified With ASD
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Association Between Insecure Attachment and ADHD
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Exploring Language Profiles for Children With ADHD and Children With Asperger Syndrome
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Sensory and sensorimotor gating in adult attention-deficit/hyperactivity disorder (ADHD)
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Gaze Following, Gaze Reading, and Word Learning in Children at Risk for Autism
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Language Impairments in Children With ADHD and in Children With Reading Disorder
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Self-citationDisorders and borders: Psychiatric genetics and nosology
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Parent-Reported Temperament Trajectories Among Infant Siblings of Children with Autism
del Rosario, M., Gillespie‐Lynch, K., Johnson, S. P., Sigman, M., & Hutman, T. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-013-1876-x · Cited by 64
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The Integration of Body Movement and Attention in Young Infants
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Deficits in volitional oculomotor control align with language status in autism spectrum disorders
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ADHD and Infant Disorganized Attachment: A Prospective Study of Children Next-Born After Stillbirth
Pinto, C., Turton, P., Hughes, P. M., White, S. J., & Gillberg, C. (2006) · Journal of Attention Disorders · doi:10.1177/1087054705286058 · Cited by 55
Neonatal Sleep Predicts Attention Orienting and Distractibility
Geva, R., Yaron, H., & Kuint, J. (2013) · Journal of Attention Disorders · doi:10.1177/1087054713491493 · Cited by 54
Developmental Trajectories From Birth to School Age in Healthy Term-Born Children
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Early Growth Patterns in Children with Autism
Surén, P., Stoltenberg, C., Bresnahan, M. A., Hirtz, D., Lie, K. K., Lipkin, W. I., Magnus, P. M., Reichborn‐Kjennerud, T., Schjølberg, S., Susser, E., et al. (2013) · Epidemiology · doi:10.1097/ede.0b013e31829e1d45 · Cited by 51
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Movement–attention coupling in infancy and attention problems in childhood
Friedman, A. H., Watamura, S. E., & Robertson, S. (2005) · Developmental Medicine & Child Neurology · doi:10.1017/s0012162205001350 · Cited by 37
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Autism spectrum disorders: head circumference and body length at birth are both relative
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Can infants’ orientation to social stimuli predict later joint attention skills?
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Facial Mimicry in 6–7 Year Old Children with Disruptive Behavior Disorder and ADHD
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Motor activity at age one year does not predict ADHD at seven years
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Change Blindness in Children With ADHD
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Movement-attention coupling in infancy and attention problems in childhood
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Metadata
- Authors
- Johnson, M. H., Gliga, T., Jones, E., & Charman, T.
- Venue
- Journal of Child Psychology and Psychiatry
- Publisher
- Wiley
- Published
- 2014-09-30
- Volume
- 56
- Issue
- 3
- Pages
- 228-247
- ISSN
- 0021-9630 (ISSN-L)
- 1469-7610
- OpenAlex
- W2155698011
- Cited by
- 257
- References
- 185
- FWCI
- 7.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
