Autism is characterized by tremendous phenotypic heterogeneity likely due to its complex genetic and neural underpinnings. Research from our own lab and others'have provided mounting evidence of decreased responsivity to social stimuli and altered patterns of brain connectivity in individuals with autism specrum disorders (ASD). Moreover, we have recently shown that aberrant functional and structural connectivity is significantly related to genetic vulnerability to the disorder. Despite these significant strides, critical questions remain unanswered with regard to (i) the underlying mechanisms that may give rise to the reduced mirroring and reward-related responses to social stimuli we have previously characterized, (ii) the relationship between the functioning of these circuits and aberrant connectivity, (iii) the extent to which the latter reflects the cause or the effect of altered developmental trajectories in ASD and, more broadly, (iv) how known genetic risk factors for ASD impact brain circuitry subserving complex social behaviors. The proposed studies are designed to address these issues, while seeking to build synergy amongst competing neurobiological accounts of ASD. Capitalizing on our history of NIH funded research in children with ASD, and thus the opportunity to study previously characterized cohorts, we are uniquely positioned to systematically chart longitudinal changes in brain activity and connectivity in children with and without ASD, and to relate the observed developmental trajectories to both behavioral phenotypes and autism risk genes. More specifically, using a cross-lagged longitudinal design, we will perform functional magnetic resonance imaging (fMRI), resting-state fMRI (rs-fMRI) and diffusion tensor imaging (DTI) at two timepoints (3 years apart) in two previously characterized age cohorts (6-9 &12-14 years of age at first assessment) and relate these data to behavioral phenotypes and ASD risk polymorphisms. This integrated research approach will exploit the strengths of each investigative method, as well as the synergy amongst them, to identify the earliest departures from typical development and delineate the complex interactions among genes, brain,and behavior that drive and constrain the atypical development of the social brain ASD.
The longitudinal studies conducted under Project IV will lead to a better characterization of functional brain networks in individuals with ASD that may ultimately be useful for earlier diagnosis as well as for informing the development of targeted behavioral and pharmacological interventions and/or evaluating their effectiveness.
|Brenner, Laurie A; Shih, Vivian H; Colich, Natalie L et al. (2015) Time reproduction performance is associated with age and working memory in high-functioning youth with autism spectrum disorder. Autism Res 8:29-37|
|Jann, Kay; Gee, Dylan G; Kilroy, Emily et al. (2015) Functional connectivity in BOLD and CBF data: similarity and reliability of resting brain networks. Neuroimage 106:111-22|
|Del Rosario, Mithi; Gillespie-Lynch, Kristen; Johnson, Scott et al. (2014) Parent-reported temperament trajectories among infant siblings of children with autism. J Autism Dev Disord 44:381-93|
|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|
|Gaugler, Trent; Klei, Lambertus; Sanders, Stephan J et al. (2014) Most genetic risk for autism resides with common variation. Nat Genet 46:881-5|
|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|
|Zwaigenbaum, Lonnie; Young, Gregory S; Stone, Wendy L et al. (2014) Early head growth in infants at risk of autism: a baby siblings research consortium study. J Am Acad Child Adolesc Psychiatry 53:1053-62|
|Schneider, Maude; Debbané, Martin; Bassett, Anne S et al. (2014) Psychiatric disorders from childhood to adulthood in 22q11.2 deletion syndrome: results from the International Consortium on Brain and Behavior in 22q11.2 Deletion Syndrome. Am J Psychiatry 171:627-39|
|Tak, Sungho; Wang, Danny J J; Polimeni, Jonathan R et al. (2014) Dynamic and static contributions of the cerebrovasculature to the resting-state BOLD signal. Neuroimage 84:672-80|
|Mullen, Brian R; Khialeeva, Elvira; Hoffman, Daniel B et al. (2013) Decreased reelin expression and organophosphate pesticide exposure alters mouse behaviour and brain morphology. ASN Neuro 5:e00106|
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