Diagnosing autism in neurobiological research studies

被引：40

作者：

Jones, Rebecca M. ^{[1
]}

Lord, Catherine ^{[1
]}

机构：

[1] New York Presbyterian Hosp, Weill Cornell Med Coll, Ctr Autism & Dev Brain, Westchester Div, White Plains, NY 10605 USA

来源：

BEHAVIOURAL BRAIN RESEARCH | 2013年 / 251卷

关键词：

Autism; Diagnosis; Neurobiology; Neuroimaging; ADOS; ADI-R; SPECTRUM DISORDER; OBSERVATION-SCHEDULE; WHITE-MATTER; BEHAVIOR CHECKLIST; ADAPTIVE-BEHAVIOR; COMBINING INFORMATION; CORTICAL DEVELOPMENT; REPETITIVE BEHAVIOR; UNAFFECTED SIBLINGS; MULTIPLE SOURCES;

D O I：

10.1016/j.bbr.2012.10.037

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

Autism Spectrum Disorder (ASD) is by definition a complex and heterogeneous disorder. Variation in factors such as developmental level, language ability and IQ further complicate the presentation of symptoms. Clinical research and basic science must continue to inform each other's questions to help address the heterogeneity inherent to the disorder. This review uses a clinical perspective to outline the common tools and best practices for diagnosing and characterizing ASD in a research setting. We discuss considerations for classifying research populations, including language ability and IQ and examine the advantages and disadvantages of different psychometric measurements. Ultimately, the contribution of multiple sources of data representing different perspectives is crucial for interpreting and understanding the ASD phenotype. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：113 / 124

页数：12

共 166 条

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