Language impairments and communication disorders are considered cardinal features of autism. The fact that language impairment is a hallmark of autism does not mean, however, that there is one """"""""language syndrome"""""""" exhibited by all autistic individuals. Individual variation is substantial. Higher functioning individuals exhibit difficulties in pragmatic functions and complex verbal processing. Lower functioning individuals (approximately 30 percent) are mute. Very little research has been aimed at the identification of early speech procursors that might correlate with later high- vs. Low- functioning linguistic behavior in autism. Such research is crucial to our understanding of the nature of the discorder and for developing effective strategies for early intervention. Over the past 20 years, the research focus in the P.I.'s laboratory has been early language development in typically-developing infants. This research has identified five important components of early linguistic competence that hold promise as predictor measures of language impairment in autism. A unique strength of this proposal is that these state-of-the-art speech measures will create a """"""""speech profile"""""""" for each individual child. The five measures comprising the profiel where chosen to provide breath and depth encompassing five critical processes in speech-language acquisition: (1) Basic phonetic discrimination - do young children with autism lack the basic ability to differentiate speech sounds, suggesting primary language processing deficits? (2) Prototype formation - Do the language deficits in children with autism stem from a failure to mentally """"""""map"""""""" socially-provided linguistic imput? (3) Auditory preference for speech - When given a choice, do children with autism choose to listen to human speech vs other control sounds? (4) Vocal imitaiton - How is echolalia different from the social-motivated vocal imitation observed in typically-developing children? (5) Cross-modal (auditory-visual) speech perception - Do children with autism cross-modally match auditory and visual speech? Data on these five speech measures collected at 3-4 years of age (Time 1) on the cohort of children with autism defined for the project will be compared to identical measures taken on developmentally-matched populations of typically-developing and mentally-retarded children. In addition, the early speech measures will be correlated with; (a) other behavioral and neuropsychological measures taken at Time 1 and Time 2 (Project I and III) and (b) measures of brain structure and metabolism (magnetic resonance imaging and spectroscopy) at Time I and Time 2 (Project IV).

Project Start
1998-06-01
Project End
1999-05-31
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
2
Fiscal Year
1998
Total Cost
Indirect Cost
Name
University of Washington
Department
Type
DUNS #
135646524
City
Seattle
State
WA
Country
United States
Zip Code
98195
Charman, Tony; Young, Gregory S; Brian, Jessica et al. (2017) Non-ASD outcomes at 36 months in siblings at familial risk for autism spectrum disorder (ASD): A baby siblings research consortium (BSRC) study. Autism Res 10:169-178
Corrigan, Neva M; Shaw, Dennis W W; Estes, Annette M et al. (2013) Atypical developmental patterns of brain chemistry in children with autism spectrum disorder. JAMA Psychiatry 70:964-74
Sterling, Lindsey; Munson, Jeffrey; Estes, Annette et al. (2013) Fear-potentiated startle response is unrelated to social or emotional functioning in adolescents with autism spectrum disorders. Autism Res 6:320-31
Jones, E J H; Webb, S J; Estes, A et al. (2013) Rule learning in autism: the role of reward type and social context. Dev Neuropsychol 38:58-77
Corrigan, Neva M; Shaw, Dennis W W; Richards, Todd L et al. (2012) Proton magnetic resonance spectroscopy and MRI reveal no evidence for brain mitochondrial dysfunction in children with autism spectrum disorder. J Autism Dev Disord 42:105-15
Fatemi, S Hossein; Aldinger, Kimberly A; Ashwood, Paul et al. (2012) Consensus paper: pathological role of the cerebellum in autism. Cerebellum 11:777-807
Vieland, Veronica J; Hallmayer, Joachim; Huang, Yungui et al. (2011) Novel method for combined linkage and genome-wide association analysis finds evidence of distinct genetic architecture for two subtypes of autism. J Neurodev Disord 3:113-23
Pinto, Dalila; Pagnamenta, Alistair T; Klei, Lambertus et al. (2010) Functional impact of global rare copy number variation in autism spectrum disorders. Nature 466:368-72
Kim, Jieun E; Lyoo, In Kyoon; Estes, Annette M et al. (2010) Laterobasal amygdalar enlargement in 6- to 7-year-old children with autism spectrum disorder. Arch Gen Psychiatry 67:1187-97
Dager, Stephen R; Corrigan, Neva M; Richards, Todd L et al. (2008) Research applications of magnetic resonance spectroscopy to investigate psychiatric disorders. Top Magn Reson Imaging 19:81-96

Showing the most recent 10 out of 14 publications