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Atypical Face Versus Object Processing and Hemispheric Asymmetries in 10-Month-Old Infants at Risk for Autism
Open accessAbstract
Background Previous studies have documented atypicalities in face/object processing in children and adults with autism spectrum disorders (ASDs). To investigate whether such atypicalities may reflect a genetically mediated risk factor present early in development, we measured face/object processing in 10-month-old high-risk infants who carry some of the genes associated with ASD because they have an older sibling diagnosed with the disorder.Methods We employed event-related potentials (ERPs) to measure cortical responses to pictures of faces and objects, the objects being toys. Latencies and amplitudes of four ERP components (P100, N290, P400, and Nc) were compared between 20 high-risk infants and 20 low-risk control subjects (infants with no family history of ASD).Results Responses to faces versus objects differed between high- and low-risk infants for the latencies of the N290 and P400. Differences were driven by faster responses to faces than objects in low-risk, but not high-risk, infants (P400) and, conversely, faster responses to objects than faces in high-risk, but not low-risk, infants (N290). Object responses were also faster in high-risk than low-risk infants (both N290 and P400). Left versus right hemisphere responses also differed between high- and low-risk infants for the amplitudes of the P100, N290, and P400; collapsed across faces/objects, low-risk, but not high-risk, infants exhibited hemisphere asymmetries.Conclusions Genetic risk for ASD is associated with atypical face versus object processing and an atypical lack of hemispheric asymmetry early in life. These atypicalities might contribute to development of the disorder.
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“There is now accumulating evidence from electroencephalographic (EEG) studies suggesting that infants at high risk for ASD, regardless of whether they ultimately meet diagnostic criteria for ASD, have different developmental trajectories within the first year of life compared to low-risk infants [10–20].”
From EEG power at 3 months in infants at high familial risk for autism (2017) · cites this paper as [16]
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Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065
Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., & Rutter, M. (2000) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1005592401947 · Cited by 7,520
The Endophenotype Concept in Psychiatry: Etymology and Strategic Intentions
Gottesman, I. I., & Gould, T. D. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.4.636 · Cited by 5,615
Electrophysiological Studies of Face Perception in Humans
Bentin, S., Allison, T., Puce, A., Perez, E., & McCarthy, G. (1996) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1996.8.6.551 · Cited by 3,181
The weak coherence account: detail-focused cognitive style in autism spectrum disorders
Happé, F., & Frith, U. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0039-0 · Cited by 2,884
Autism as a strongly genetic disorder: evidence from a British twin study
Bailey, A., Le Couteur, A., Gottesman, I., Bolton, P., Simonoff, E., Yuzda, E., & Rutter, M. (1995) · Psychological Medicine · doi:10.1017/s0033291700028099 · Cited by 2,461
Mullen Scales of Early Learning
Bradley‐Johnson, S. (1997) · Psychology in the Schools · doi:10.1002/(sici)1520-6807(199710)34:4 · Cited by 2,329
Enhanced Perceptual Functioning in Autism: An Update, and Eight Principles of Autistic Perception
Mottron, L., Dawson, M., Soulières, I., Hubert, B., & Burack, J. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0040-7 · Cited by 1,957
Behavioral manifestations of autism in the first year of life
Zwaigenbaum, L., Bryson, S., Rogers, T., Roberts, W., Brian, J., & Szatmari, P. (2005) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2004.05.001 · Cited by 1,602
Research works printed but not linked: 2
- Rivera, 2005, Unraveling the mystery of motion perception impairments in autism: Some further considerations, Curr Psychol Cogn, 23, 189
- Dobkins KR, Bosworth RG, McCleery JP (in press): Contributions of biological maturation and visual experience to the development of visual contrast sensitivity. J Vis.
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Elison, J. T. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/wna4-w390
Westby, C. E. (2013) · Word of Mouth · doi:10.1177/1048395013496550
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Gülbetekin, E. (2016) · Mediterranean Journal of Humanities · doi:10.13114/mjh.2016119299
The effects of reciprocal imitation training on behaviour and brain activity in children with autism
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Goussé, V., Amsellem, F., & Delorme, R. (2016) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)30718-6
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Burner, K., & Bernier, R. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1698-3_646
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Soto‐Icaza, P., Beffara, B., Vargas, L., Aboitiz, F., & Billeke, P. B. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/582vf
(2009) · Biological Psychiatry · doi:10.1016/s0006-3223(09)01314-6
Burner, K., & Bernier, R. (2021) · Springer eBooks · doi:10.1007/978-3-319-91280-6_646
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Zhao, W., & Li, J. (2024) · Scientia Sinica Vitae · doi:10.1360/ssv-2023-0217
Autistic adults exhibit holistic face processing: evidence from inversion and composite face effects
Hsiung, E.-Y., & Chien, S. H. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1393987
Infant dominant rhythm desynchronization to faces and objects
Elhamiasl, M., Boylan, M. R., Barry‐Anwar, R., Pestana, Z., Keil, A., & Scott, L. S. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf087
Stefanidou, C. A. (2014) · University of Birmingham Institutional Research Archive (University of Birmingham)
Glauser, J., Wilkinson, C. L., Gabard-Durnam, L. J., Choi, B., Tager-Flusberg, H. B., & Nelson, C. A. (2022) · Figshare · doi:10.6084/m9.figshare.18318481
Glauser, J., Wilkinson, C. L., Gabard-Durnam, L. J., Choi, B., Tager-Flusberg, H. B., & Nelson, C. A. (2022) · Figshare · doi:10.6084/m9.figshare.18318478
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Fico, K., Krol, M. A., Bussu, G., Gosling, C. J., Tye, C., Hunnius, S., & Buitelaar, J. K. (2026) · Research in Autism · doi:10.1016/j.reia.2026.202874
Gürcan, E., Watson, S., & Rutherford, M. D. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106768
Galilee, A. (2015) · University of Birmingham Institutional Research Archive (University of Birmingham)
Metadata
- Authors
- McCleery, J. P., Akshoomoff, N., Dobkins, K. R., & Carver, L. J.
- Affiliations
- University of California San Diego (US)
- Corresponding author
- Dobkins, Karen R.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2009-11
- Volume
- 66
- Issue
- 10
- Pages
- 950-957
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC2783702
- OpenAlex
- W2012736922
- Cited by
- 155
- References
- 105
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 4 · 2023: 1 · 2022: 10 · 2021: 11 · 2020: 11 · 2019: 6 · 2018: 3 · 2017: 11 · 2016: 14 · 2015: 10 · 2014: 10 · 2013: 20 · 2012: 19
- FWCI
- 5.99
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Funders
- Autism Speaks (AS1695, AS1305)
- National Institute of Mental Health (K23MH071796)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R21HD043739, R01HD052804)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- autism spectrum disorder, face processing, object processing, hemispheric lateralization, high-risk infants, genetic risk, event-related potentials, infant development, P400, P100, Nc component
- MeSH terms
- Analysis of Variance, Autistic Disorder, Brain, Brain Mapping, Cerebral Cortex, Child, Child, Preschool, Electroencephalography, Evoked Potentials, Face, Female, Fourier Analysis, Humans, Infant, Functional Laterality, Male, Neuropsychological Tests, Pattern Recognition, Visual, Photic Stimulation, Reaction Time, Risk
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