Childhood Facial Recognition Predicts Adolescent Symptom Severity in Autism Spectrum Disorder
Abstract
Limited accuracy and speed in facial recognition (FR) and in the identification of facial emotions (IFE) have been shown in autism spectrum disorders (ASD). This study aimed at evaluating the predictive value of atypicalities in FR and IFE for future symptom severity in children with ASD. Therefore we performed a seven-year follow-up study in 87 children with ASD. FR and IFE were assessed in childhood (T1: age 6-12) using the Amsterdam Neuropsychological Tasks (ANT). Symptom severity was assessed using the Autism Diagnostic Observation Schedule (ADOS) in childhood and again seven years later during adolescence (T2: age 12-19). Multiple regression analyses were performed to investigate whether FR and IFE in childhood predicted ASD symptom severity in adolescence, while controlling for ASD symptom severity in childhood. We found that more accurate FR significantly predicted lower adolescent ASD symptom severity scores (ΔR(2) = .09), even when controlling for childhood ASD symptom severity. IFE was not a significant predictor of ASD symptom severity in adolescence. From these results it can be concluded, that in children with ASD the accuracy of FR in childhood is a relevant predictor of ASD symptom severity in adolescence. Test results on FR in children with ASD may have prognostic value regarding later symptom severity.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Early signs and predictors of later manifest ASD include lack of/altered attention to eyes and limited facial recognition/use of facial expressions.
“Early signs and predictors of later manifest ASD, such as a lack of/altered attention to eyes (Jones & Klin, 2013) and limited facial recognition (Eussen et al., 2015)/limited use of facial expressions, should be investigated.”
From Innovations of the ICD-11 in the Field of Autism Spectrum Disorder: A Psychological Approach (2022) · cites this paper as Eussen et al., 2015
Cites
The social motivation theory of autism
Chevallier, C., Kohls, G., Troiani, V., Brodkin, E. S., & Schultz, R. T. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.02.007 · Cited by 2,072 · see citing works
Standardizing ADOS Scores for a Measure of Severity in Autism Spectrum Disorders
Gotham, K., Pickles, A., & Lord, C. (2009) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-008-0674-3 · Cited by 1,605 · see citing works
Attention to eyes is present but in decline in 2–6-month-old infants later diagnosed with autism
Jones, W., & Klin, A. (2013) · Nature · doi:10.1038/nature12715 · Cited by 1,293 · see citing works
Visual scanning of faces in autism
Pelphrey, K. A., Sasson, N. J., Reznick, J. S., Paul, G., Goldman, B. D., & Piven, J. (2002) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1016374617369 · Cited by 1,187 · see citing works
Harms, M. B., Martin, A., & Wallace, G. L. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9138-6 · Cited by 1,028 · see citing works
Schultz, R. T., Gauthier, I., Klin, A., Fulbright, R. K., Anderson, A. W., Volkmar, F., Skudlarski, P., Lacadie, C., Cohen, D. J., & Gore, J. C. (2000) · Archives of General Psychiatry · doi:10.1001/archpsyc.57.4.331 · Cited by 1,000 · see citing works
Jones, W., Carr, K., & Klin, A. (2008) · Archives of General Psychiatry · doi:10.1001/archpsyc.65.8.946 · Cited by 650 · see citing works
DAWSON, G., WEBB, S. J., WIJSMAN, E., SCHELLENBERG, G., ESTES, A., MUNSON, J., & FAJA, S. (2005) · Development and Psychopathology · doi:10.1017/s0954579405050327 · Cited by 247 · see citing works
Wright, B., Clarke, N., Jordan, J., Young, A. W., Clarke, P., Miles, J., Nation, K., Clarke, L., & Williams, C. (2008) · Autism · doi:10.1177/1362361308097118 · Cited by 92 · see citing works
Reevaluating the selectivity of face-processing difficulties in children and adolescents with autism
Ewing, L., Pellicano, E., & Rhodes, G. (2013) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2013.01.009 · Cited by 26 · cited 5× · see citing works
“…with theories suggesting that the underlying mechanisms of ASD are specific to social information processing [e.g., Chevallier et al., 2012; Dawson et al., 2005b; Klin et al., 2005; Weigelt et al., 2013] and oppose more general perceptual processing difficulties in ASD [e.g., Ewing et al., 2013].”
Influential
Flagged first, then by citations
Cited by
Sorted by citations
van Laarhoven, T., Stekelenburg, J. J., Eussen, M. L., & Vroomen, J. (2020) · Autism · doi:10.1177/1362361320926061 · Cited by 37 · see citing works
Self-citationInnovations of the ICD-11 in the Field of Autism Spectrum Disorder: A Psychological Approach
Greaves-Lord, K., Skuse, D., & Mandy, W. (2022) · Clinical Psychology in Europe · doi:10.32872/cpe.10005 · Cited by 35 · see citing works
Self-citationElectrophysiological alterations in motor-auditory predictive coding in autism spectrum disorder
van Laarhoven, T., Stekelenburg, J. J., Eussen, M. L. J. M., & Vroomen, J. (2019) · Autism Research · doi:10.1002/aur.2087 · Cited by 22 · see citing works
- Authors
- Eussen, M. L. J. M., Louwerse, A., Herba, C. M., Van Gool, A. R., Verheij, F., Verhulst, F. C., & Greaves‐Lord, K.
- Affiliations
- Erasmus MC (NL)
- Université du Québec à Montréal (CA)
- Yulius, Organisation for Mental Health Hellingen 21, 3311 GZ Dordrecht The Netherlands
- Corresponding author
- Greaves‐Lord, Kirstin
- Venue
- Autism Research
- Publisher
- Wiley
- Published
- 2015-01-28
- Volume
- 8
- Issue
- 3
- Pages
- 261-271
- ISSN
- 1939-3792 (ISSN-L)
- 1939-3806
- OpenAlex
- W1787105128
- Cited by
- 22
- References
- 10
- Citations by year
- 2024: 2 · 2023: 3 · 2022: 2 · 2021: 3 · 2020: 5 · 2019: 2 · 2018: 1 · 2016: 1 · 2015: 3
- FWCI
- 1.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Autism Research (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Funders
- Sophia Foundation for Scientific Research (586, 2009)
- Nuts Ohra Foundation (0803-53)
- The Netherlands Organisation for Scientific Research (NWO/ZonMw/OOG-100-002-006)
- 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 recognition (cognition), symptom severity, adolescence, childhood predictors, prognostic value, long-term follow-up, social cognition
- MeSH terms
- Facial Recognition, Autism Spectrum Disorder, Adolescent, Adult, Child, Female, Follow-Up Studies, Humans, Male, Severity of Illness Index, Young Adult
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 ›
Are you an author, or do you see a problem with this page? Request a review