Structural and Functional Connectivity in Autism Spectrum Disorders

Overview

Autism spectrum disorder (ASD) has been given a high priority for genetic and neurobiological study. There is no such information in Asian population and no study has conducted using Diffusion Spectrum Imaging (DSI) to investigate the connectivity throughout the world. Moreover, no follow-up study has been done to examine the developmental changes of structural and functional connectivity. We anticipate to establishing a cohort of 50 ASD and their siblings with complete clinical, neuropsychological, brain imaging, and genetic data for longitudinal study on ASD. Our findings will contribute to our understanding of the structural and functional dysconnectivity for ASD and whether dysconnectivity can be an endophenotype for ASD and used as a biomarker for early diagnosis of ASD.

Autism spectrum disorder (ASD) is a pervasive neuro-developmental disorder with prominent reciprocal social and communication impairment and restricted repetitive behavior or interest. Because ASD runs in family, because there is no effective biological treatment, and because early intervention can lead to better outcomes, ASD has been given a high priority for genetic and neurobiological study. Although abnormal brain structure has been reported, there is limited data regarding structural and functional dysconnectivity in autism. There is no such information in Asian population and no study has conducted using Diffusion Spectrum Imaging (DSI) to investigate the connectivity throughout the world. Moreover, no follow-up study has been done to examine the developmental changes of structural and functional connectivity. We thus propose this prospectively follow-up brain imaging study on ASD. Specific Aims: 1. To investigate the location and extend of structural and functional dysconnectivity and their changes over a 2-year period among children with ASD, as compared to their unaffected siblings and normal controls; 2. To correlate the structural and functional dysconnectivity to clinical severity and neuropsychological functioning; 3. To test the association between brain dysconnectivity and several candidate genes related to the CNS patterning (e.g., RELN, En-2, Wnt, bcl-2); and 4. To test whether neuropsychological and brain imaging findings can be the intermediate phenotype of ASD for genetic studies. We will recruit 50 children with DSM-IV ASD (autistic disorder and Asperger's disorder) aged 3-15, their siblings, and 50 age-, sex-, and handedness-matached healthy controls. A number of instruments will be used to measure autistic symptoms, functional levels, and cognitive ability (i.e. ADI-R, ADOS, SCQ, SRS, and CAST; WISC-III (WPPSI-R, Bayley), DDST, CPM, and SPM; CPT, WCST, Cambridge Neuropsychological Test Automated Batteries). We will also look directly at the brain for structural and functional connectivity using the DSI and fMRI, respectively. We will repeat the assessments at a 2-year interval. The major tasks consisted of five parts: (1) 3 months-recruitment of subjects, researcher training, and pilot study; (2) 1 years 6 months-clinical, neuropsychological, genetic, DSI and fMRI assessments of 150 subjects; (3) 6 months-data analysis, reports to subjects, and manuscript preparation; (4) 1 years 6 months-same assessment of 150 subjects at a 2-year interval; (5) 4 months-data analysis, reports to subjects, and manuscript preparation. We anticipate to establishing a cohort of 50 ASD and their siblings with complete clinical, neuropsychological, brain imaging, and genetic data for longitudinal study on ASD. Our findings will contribute to our understanding of the structural and functional dysconnectivity for ASD and whether dysconnectivity can be an endophenotype for ASD and used as a biomarker for early diagnosis of ASD.