The autistic spectrum

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

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Metadata sources used for this reference

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Mottron, L. & Dawson, M. (2013). The autistic spectrum. Handbook of Clinical Neurology, 111, 263-271. https://doi.org/10.1016/b978-0-444-52891-9.00029-4

Journal or book title
Handbook of clinical neurology
Publisher
Elsevier
Volume
111
Pages
263-271
ISBN
9780444528919
Publication date: 1 Jan 2013 Added to AutiHub: 3 Jul 2026 Type: Article Article language: English
Publisher source (DOI) OpenAlex source

This publication is integrated into AutiHub through:

Authors

Publication authors
2
Publication authors identified as autistic
1 / 2 (50.0%)
  1. Laurent Mottron
  2. Michelle Dawson *

Abstract

The autistic spectrum currently encompasses common precocious behaviourally identified constellations of social and communication atypicalities associated with restricted interests and repetitive behavior, together with uneven ability profiles. It is associated with multiple but heterogeneous genetic, functional, and structural variations whose established links with an autistic behavioral phenotype are as yet minimal. Strong evidence of high heritability contrasts with limited determination of genes and modes of transmission involved. Adaptation and outcomes vary widely according to opportunities, accommodation, and co-occurring conditions. With current diagnostic practices, multiple genetic conditions overlap with the autistic spectrum, with potential for confusion arising from phenocopies. Recent advances question the often presumed association between autism and intellectual disability and/or epilepsy. Autism is currently understood as a final common phenotypical pathway resulting from an indefinite number of genetic variations, possibly involving the same information processing pathways, and producing a variant in the way humans perceive, memorize, manipulate, and attribute emotional value to available information. Findings plausibly converge on more optional, rather than typically mandatory, hierarchies of information processing as fundamental to autism. Adaptation of education and employment according to individual strengths and needs, as well as attention to co-occurring conditions as necessary, remains today the best way to assist autistic individuals.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 3 Oct 2026 01:00.

Cited references
7
With a DOI
6
Without a DOI, from raw bibliography text
1
1 / 7 (14.3%) cited references include at least one author identified as autistic.
References with data to complete
1 / 7 (14.3%)
References with detected author names
6 / 7 (85.7%)
Without detected author names
1
Without a structured title
0
Without a stable identifier
1
References with raw author names still to review
0
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
28
From DOI or external metadata
28
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
0
11 / 28 (39.3%) names are linked to an author already present in AutiHub. 17 / 28 (60.7%) names are not yet linked.
Names linked to a person identified as autistic
1 / 28 (3.6%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 1 / 11 (9.1%). Distinct people identified as autistic: 1 / 26 (3.8%).
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    Type: Book DOI: 10.1002/9780470939352 OpenAlex: https://openalex.org/W1574339853
    OpenAlex
  2. Barbara Manzi , Anna Livia Loizzo , Grazia Giana , Paolo Curatolo (2008). Autism and Metabolic Diseases . Journal of Child Neurology, 23(3), 307-314. SAGE Publications.
    Type: Article DOI: 10.1177/0883073807308698 OpenAlex: https://openalex.org/W1987345438
    Crossref OpenAlex OpenCitations
  3. J. Moss , Patricia Howlin (2009). Autism spectrum disorders in genetic syndromes: implications for diagnosis, intervention and understanding the wider autism spectrum disorder population . Journal of Intellectual Disability Research, 53(10), 852-873. Wiley.
    Type: Article DOI: 10.1111/j.1365-2788.2009.01197.x OpenAlex: https://openalex.org/W1968922308
    Crossref OpenAlex OpenCitations
  4. Minshew (2005). Neurological aspects of autism .
    Type: Other
    Crossref
  5. Xiaoyue Zhao , Anthony Leotta , Vlad Kustanovich , Clara Lajonchere , Daniel H. Geschwind , Kiely Law et al. (2007). A unified genetic theory for sporadic and inherited autism . Proceedings of the National Academy of Sciences, 104(31), 12831-12836. National Academy of Sciences.
    Type: Article DOI: 10.1073/pnas.0705803104 OpenAlex: https://openalex.org/W2002216794
    Crossref OpenAlex OpenCitations
  7. Fabienne Samson , Laurent Mottron , Isabelle Soulières , Thomas A. Zeffiro (2012). Enhanced visual functioning in autism: An ALE meta‐analysis . Human Brain Mapping, 33(7), 1553-1581. Wiley.
    Type: Article DOI: 10.1002/hbm.21307 OpenAlex: https://openalex.org/W2057911790
    Crossref OpenAlex