Changing conceptualizations of regression: What prospective studies reveal about the onset of autism spectrum disorder.
Autism spectrum disorder
Onset patterns
Prospective studies
Regression
Journal
Neuroscience and biobehavioral reviews
ISSN: 1873-7528
Titre abrégé: Neurosci Biobehav Rev
Pays: United States
ID NLM: 7806090
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
24
09
2018
revised:
12
02
2019
accepted:
14
03
2019
pubmed:
20
3
2019
medline:
27
6
2019
entrez:
20
3
2019
Statut:
ppublish
Résumé
Until the last decade, studies of the timing of early symptom emergence in autism spectrum disorder (ASD) relied upon retrospective methods. Recent investigations, however, are raising significant questions about the accuracy and validity of such data. Questions about when and how behavioral signs of autism emerge may be better answered through prospective studies, in which infants are enrolled near birth and followed longitudinally until the age at which ASD can be confidently diagnosed or ruled out. This review summarizes the results of recent studies that utilized prospective methods to study infants at high risk of developing ASD due to family history. Collectively, prospective studies demonstrate that the onset of ASD involves declines in the rates of key social and communication behaviors during the first years of life for most children. This corpus of literature suggests that regressive onset patterns occur much more frequently than previously recognized and may be the rule rather than the exception.
Identifiants
pubmed: 30885812
pii: S0149-7634(18)30721-8
doi: 10.1016/j.neubiorev.2019.03.012
pmc: PMC6451681
mid: NIHMS1525231
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
296-304Subventions
Organisme : NIMH NIH HHS
ID : R01 MH068398
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH099046
Pays : United States
Commentaires et corrections
Type : CommentIn
Type : CommentIn
Type : CommentIn
Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.
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