Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 May 15;4(1):12.
doi: 10.1186/2040-2392-4-12.

DSM-5 and autism spectrum disorders (ASDs): an opportunity for identifying ASD subtypes

Affiliations

DSM-5 and autism spectrum disorders (ASDs): an opportunity for identifying ASD subtypes

Rebecca Grzadzinski et al. Mol Autism. .

Abstract

The heterogeneous clinical presentations of individuals with autism spectrum disorders (ASDs) poses a significant challenge for sample characterization and limits the interpretability and replicability of research studies. The Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) diagnostic criteria for ASD, with its dimensional approach, may be a useful framework to increase the homogeneity of research samples. In this review, we summarize the revisions to the diagnostic criteria for ASD, briefly highlight the literature supporting these changes, and illustrate how DSM-5 can improve sample characterization and provide opportunities for researchers to identify possible subtypes within ASD.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Illustration of the range of structural language impairment presentations in autism spectrum disorder.
Figure 2
Figure 2
Proposed Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) criteria and associated features to be considered when characterizing autism spectrum disorder (ASD) samples.

Similar articles

Cited by

References

    1. Charman T, Jones C, Pickles A, Simonoff E, Baird G, Happé F. Defining the cognitive phenotype of autism. Brain Res. 2011;1380:10–21. - PubMed
    1. Georgiades S, Szatmari P, Boyle M, Hanna S, Duku E, Zwaigenbaum L. Investigating phenotypic heterogeneity in children with autism spectrum disorder: a factor mixture modeling approach. J Child Psychol Psychiatry. 2013;54:206–215. doi: 10.1111/j.1469-7610.2012.02588.x. - DOI - PubMed
    1. Hus V, Pickles A, Cook E, Risi S, Lord C. Using the autism diagnostic interview—revised to increase phenotypic homogeneity in genetic studies of autism. Biol Psychiatry. 2007;61:438–448. doi: 10.1016/j.biopsych.2006.08.044. - DOI - PubMed
    1. Ingram D, Takahashi N, Miles J. Defining autism subgroups: a taxometric solution. J Autism Dev Disord. 2008;38:950–960. doi: 10.1007/s10803-007-0469-y. - DOI - PubMed
    1. Malvy J, Barthélémy C, Damie D, Lenoir P, Bodier C, Roux S. Behaviour profiles in a population of infants later diagnosed as having autistic disorder. Eur Child Adolesc Psychiatry. 2004;13:115–122. doi: 10.1007/s00787-004-0374-2. - DOI - PubMed

LinkOut - more resources