Editorial Perspective: Longitudinal research in autism – introducing the concept of ‘chronogeneity’
Open accessAbstract
Autism Spectrum Disorder ( ASD or autism) is a heterogeneous neurodevelopmental disorder. We are now at a critical juncture in autism research where we have the knowledge base and expertise to begin to think about studies that view heterogeneity, not as ‘statistical noise’ that can be ‘accounted for’ using data‐reduction techniques (such as group trajectories), but rather as ‘informative variance’ that can help form a more precise and dynamic picture of autism. In this Editorial we coin a new term and introduce the concept of ‘chronogeneity’ for the study of autism heterogeneity in relation to the dimension of time (chrono). Using examples of ongoing research and analytical advances we build the case for the potential utility of the concept of ‘chronogeneity’ and argue that a refined approach to the longitudinal investigation of autism (and other neurodevelopmental disorders) may move us closer to more precise and adaptive models of care for the children and youth affected by these disorders.
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Some individuals diagnosed as children have no clinically meaningful (or even detectable) impairment later in life (so-called 'optimal outcome').
“Some individuals diagnosed as children have no clinically meaningful (or even detectable) impairment later in life (socalled 'optimal outcome' 141,142 )”
From Autism spectrum disorder (2020) · cites this paper as [141]
The editorial discusses differing developmental trajectories in children diagnosed with autism, but does not say that some have no clinically meaningful or detectable impairment later in life. Searches for “optimal outcome” and for loss of diagnostic-level impairment did not locate that claim in our copy; no page numbers were supplied for the passages. (LLM, conf=0.73)
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Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369 · see citing works
Diagnostic and Statistical Manual of Mental Disorders, 5th ed.
Carter, M. J. (2014) · Therapeutic Recreation Journal · Cited by 15,154 · see citing works
Analyzing developmental trajectories: A semiparametric, group-based approach.
Nagin, D. S. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.2.139 · Cited by 2,346 · see citing works
Magiati, I., Tay, X. W., & Howlin, P. (2014) · Clinical Psychology Review · doi:10.1016/j.cpr.2013.11.002 · Cited by 632 · see citing works
Kasari, C., Kaiser, A., Goods, K., Nietfeld, J., Mathy, P., Landa, R., Murphy, S., & Almirall, D. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2014.01.019 · Cited by 415 · see citing works
Research Domain Criteria: toward future psychiatric nosologies
Cuthbert, B. N. (2015) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2015.17.1/bcuthbert · Cited by 332 · see citing works
Szatmari, P., Georgiades, S., Duku, E., Bennett, T. A., Bryson, S., Fombonne, E., Mirenda, P., Roberts, W., Smith, I. M., Vaillancourt, T., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2463 · Cited by 322 · see citing works
Self-citationTrajectories of Autism Severity in Children Using Standardized ADOS Scores
Gotham, K., Pickles, A., & Lord, C. (2012) · Pediatrics · doi:10.1542/peds.2011-3668 · Cited by 271 · see citing works
Adaptive Interventions in Child and Adolescent Mental Health
Almirall, D., & Chronis-Tuscano, A. M. (2016) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2016.1152555 · Cited by 85 · see citing works
Clustering gene expression time course data using mixtures of multivariate t-distributions
McNicholas, P. D., & Subedi, S. (2011) · Journal of Statistical Planning and Inference · doi:10.1016/j.jspi.2011.11.026 · Cited by 59 · see citing works
Longitudinal Mixed Membership trajectory models for disability survey data
Manrique‐Vallier, D. (2014) · The Annals of Applied Statistics · doi:10.1214/14-aoas769 · Cited by 23 · see citing works
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Lord, C., Brugha, T. S., Charman, T., Cusack, J., Dumas, G., Frazier, T., Jones, E. J. H., Jones, R. M., Pickles, A., State, M. W., et al. (2020) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0138-4 · Cited by 1,859 · see citing works
Self-citationBig data approaches to decomposing heterogeneity across the autism spectrum
Lombardo, M. V., Lai, M.-C., & Baron-Cohen, S. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0321-0 · Cited by 537 · see citing works
Livingston, L. A., & Happé, F. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.06.005 · Cited by 414 · see citing works
Autism spectrum heterogeneity: fact or artifact?
Mottron, L., & Bzdok, D. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0748-y · Cited by 332 · see citing works
A radical change in our autism research strategy is needed: Back to prototypes
Mottron, L. (2021) · Autism Research · doi:10.1002/aur.2494 · Cited by 143 · see citing works
The development of autistic social traits across childhood and adolescence in males and females
Mandy, W., Pellicano, L., St Pourcain, B., Skuse, D., & Heron, J. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12913 · Cited by 117 · see citing works
Variability in Autism Symptom Trajectories Using Repeated Observations From 14 to 36 Months of Age
Kim, S. H., Bal, V. H., Benrey, N., Choi, Y. B., Guthrie, W., Colombi, C., & Lord, C. (2018) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2018.05.026 · Cited by 70 · see citing works
The longitudinal heterogeneity of autistic traits: A systematic review
Pender, R., Fearon, P., Heron, J., & Mandy, W. (2020) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2020.101671 · Cited by 55 · see citing works
Reframing Optimal Outcomes in Autism
Georgiades, S., & Kasari, C. (2018) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2018.1016 · Cited by 47 · see citing works
Self-citation
- Authors
- Georgiades, S., Bishop, S. L., & Frazier, T.
- Affiliations
- McMaster University (CA)
- University of California, San Francisco (US)
- Cleveland Clinic (US)
- Corresponding author
- Georgiades, Stelios
- Venue
- Journal of Child Psychology and Psychiatry
- Publisher
- Wiley
- Published
- 2017-04-17
- Volume
- 58
- Issue
- 5
- Pages
- 634-636
- ISSN
- 0021-9630 (ISSN-L)
- 1469-7610
- OpenAlex
- W2605441208
- Cited by
- 100
- References
- 11
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 9 · 2023: 27 · 2022: 6 · 2021: 12 · 2020: 17 · 2019: 4 · 2018: 8 · 2017: 2 · 2013: 1
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Child Psychology and Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Hamilton Health Sciences
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Psychiatry and Mental health › Child Nutrition and Feeding Issues
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- autism spectrum disorder, autism heterogeneity, longitudinal study, neurodevelopmental disorders, developmental trajectories, models of care, children and young people
- MeSH terms
- Autism Spectrum Disorder, Humans, Time Factors, Disease Progression
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