The diagnosis of autistic spectrum disorders (ASD) has increased in uniformity and reliability in the last 10 years due to a number of factors, including the agreement between American Psychiatric Association and the World Health Organization committees to propose nearly identical categorizations and the increasingly widespread use in research of standardized diagnostic instruments. Two instruments, the Autism Diagnostic Interview - Revised (ADI-R) and the Autism Diagnostic Observation Schedule (ADOS) have been adopted by most North American and British researchers, as well as translated into French, Spanish, German, Korean, Portuguese, Danish, Norwegian, Swedish and Icelandic. More recently, a screening instrument, the Social Communication Questionnaire (SCQ; formerly the ASQ), has also received attention. However, much work remains to be done to make the instruments more useful for research purposes and clinical service. The present proposal uses analyses of an existing data set of over 1100 individuals with scores on the ADIR, ADOS, intelligence tests, the Vineland Adaptive Behavior Scales, and clinical best estimate diagnoses, with replication of findings in three other large datasets from the University of Wisconsin, Autism Genetics Research Exchange and the International Molecular Genetics Autism Consortium. In addition, data will be collected from the ongoing clinic at the University of Michigan using various manipulations (e.g., testing the effect of """"""""current"""""""" versus """"""""ever"""""""" probes) and small, targeted samples will be collected from currently underrepresented samples (e.g., severe to profoundly retarded individuals without autism). The purpose of the analyses will be to generate severity scores (within and across domains) that are independent of chronological age and language level for each instrument, generate a """"""""certainty of caseness"""""""" rating that takes into account contributions of different instruments across age and language level and allows combination of information across instruments, reduce the number of items and the complexity of the algorithm for each instrument, and test the usefulness of the SCQ as a screening for possible autism in a yet-to-be diagnosed population of children referred to developmental disabilities and general child psychiatry clinics. In addition, the usefulness of a simpler, two domain plus language level approach to conceptualization of the autistic spectrum will be tested.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH066496-04
Application #
6899830
Study Section
Special Emphasis Panel (ZMH1-CRB-J (02))
Program Officer
Gilotty, Lisa
Project Start
2002-09-17
Project End
2007-06-30
Budget Start
2005-07-01
Budget End
2006-06-30
Support Year
4
Fiscal Year
2005
Total Cost
$328,048
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Psychology
Type
Other Domestic Higher Education
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Dickie, Erin W; Ameis, Stephanie H; Shahab, Saba et al. (2018) Personalized Intrinsic Network Topography Mapping and Functional Connectivity Deficits in Autism Spectrum Disorder. Biol Psychiatry 84:278-286
Bedford, Rachael; Pickles, Andrew; Lord, Catherine (2016) Early gross motor skills predict the subsequent development of language in children with autism spectrum disorder. Autism Res 9:993-1001
Bishop, Somer L; Thurm, Audrey; Farmer, Cristan et al. (2016) Autism Spectrum Disorder, Intellectual Disability, and Delayed Walking. Pediatrics 137:e20152959
Nebel, Mary Beth; Eloyan, Ani; Nettles, Carrie A et al. (2016) Intrinsic Visual-Motor Synchrony Correlates With Social Deficits in Autism. Biol Psychiatry 79:633-41
Gotham, Katherine; Brunwasser, Steven M; Lord, Catherine (2015) Depressive and anxiety symptom trajectories from school age through young adulthood in samples with autism spectrum disorder and developmental delay. J Am Acad Child Adolesc Psychiatry 54:369-76.e3
Vinette, Sarah A; Bray, Signe (2015) Variation in functional connectivity along anterior-to-posterior intraparietal sulcus, and relationship with age across late childhood and adolescence. Dev Cogn Neurosci 13:32-42
Wiggins, Jillian Lee; Swartz, Johnna R; Martin, Donna M et al. (2014) Serotonin transporter genotype impacts amygdala habituation in youth with autism spectrum disorders. Soc Cogn Affect Neurosci 9:832-8
Di Martino, A; Yan, C-G; Li, Q et al. (2014) The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Mol Psychiatry 19:659-67
Pickles, Andrew; Anderson, Deborah K; Lord, Catherine (2014) Heterogeneity and plasticity in the development of language: a 17-year follow-up of children referred early for possible autism. J Child Psychol Psychiatry 55:1354-62
Alaerts, Kaat; Woolley, Daniel G; Steyaert, Jean et al. (2014) Underconnectivity of the superior temporal sulcus predicts emotion recognition deficits in autism. Soc Cogn Affect Neurosci 9:1589-600

Showing the most recent 10 out of 38 publications