The list of publications below detail additional findings and research information from Wave 1 of the ACE Network study.


  1. Andrei Irimia, Xiaoyu Lei, Carinna Margaret Torgerson, Zachary J Jacokes, Sumiko Abe, John Darrell Van Horn, for the GENDAAR Research Consortium (in press) “Support vector machines, multidimensional scaling and magnetic resonance imaging…”, Front Comput Neurosci.
  2. Irimia, A., Torgerson, C., Jacokes, Z., Van Horn, J.D. (2017). “The connectomes of males and females with autism spectrum disorder have significantly different white matter connectivity densities.” Sci Rep 7 (46401). link
  3. Webb, S.J., Neuhaus, E., Faja, S. (2017). “Face perception and learning in autism spectrum disorders.” Q J Exp Psychol 70(5): 970-986. link
  4. Brown, J., Van Horn, J.D. (2016). “Connected brains and minds-The UMCD repository for brain connectivity matrices.” Neuroimage 124(Pt B): 1238-1241. link
  5. Chen, C., J. Van Horn, and GENDAAR Research Consortium (2016). “Developmental neurogenetics and multimodal neuroimaging of sex differences in autism.” Brain Imaging Behav 10: 1-24. link
  6. Garman, H., Spaulding, C., et al. (2016). “Wanting it too much: An inverse relation between social motivation and facial emotion recognition in Autism Spectrum Disorder.” Child Psychiatry Hum Dev 47(6): 890-902. link
  7. Hull, J., Jacokes, Z., et al. (2016). “Resting-State Functional Connectivity in Autism Spectrum Disorders: A Review.” Front Psychiatry 7: 205. link
  8. Venkataraman, A., Yang, D., et al. (2016). “Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorder.” Neuroreport 27(14): 1081-1085. link
  9. Ventola, P., Yang, D., (2016). “Brief Report: Reduced Restricted and Repetitive Behaviors after Pivotal Response Treatment.” J Autism Dv Disord 46(8): 2813-2820. link
  10. Yang, D., Pelphrey, K., et al. (2016). “Brain responses to biological motion predict treatment outcome in young children with autism.” Transl Psychiatry 6(11): e948. link
  11. Coffman, M., L. Anderson, et al. (2015). “Sex differences in social perception in children with ASD.” J Autism Dev Disord 45(2): 589-599. link
  12. Geschwind, D. and M. State (2015). “Gene hunting in autism spectrum disorder: on the path to precision medicine.” Lancet Neurol 14(11): 1109-1120. link
  13. Higdon, R., R. Earl, et al. (2015). “The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disorders.” OMICS 19(4): 197-208. link
  14. Jack, A., Pelphrey, K. (2015). “Neural Correlates of Animacy Attribution Include Neocerebellum in Healthy Adults.” Cereb Cortex 25(11): 4240-4247. link
  15. Torgerson, C., A. Irimia, et al. (2015). “Integration of behavioral, structural, functional, and genetic data for the study of Autism Spectrum Disorders.” Data Integration in the Life Sciences 9162: 202-207.
  16. Torgerson, C., C. Quinn, et al. (2015). “Interacting with the National Database for Autism Research (NDAR) via the LONI Pipeline workflow environment.” Brain Imaging Behav 9: 89-103. link
  17. Venkataraman, A., J. Duncan, et al. (2015). “An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autism.” Neuroimage Clin 8: 356-366. link
  18. King, B., N. Navot (2014). “Update on diagnostic classification in autism.” Curr Opin Psychiatry 27(2): 105-109. link
  19. Kodish, I., C. Rockhill, et al. (2014). “ASD: Psychopharmacologic treatments and neurophysiologic underpinnings.” Curr Top Behav Neurosci 21: 257-275. link
  20. Pelphrey, K., D. Yang, et al. (2014). “Building a social neuroscience of autism spectrum disorder.” Curr Top Behav Neurosci 16: 215-233. link
  21. Pitskel, N., D. Bolling, et al. (2014). “Neural systems for cognitive reappraisal in children and adolescents with autism spectrum disorder.” Dev Cogn Neurosci 10: 117-128. link
  22. Gordon, I., B. Vander Wick, et al. (2013). “Oxytocin enhances brain function in children with autism.” Proc Natl Acad Sci U.S.A. 110(52): 20953-20958. link
  23. Westphal, A., S. Schelinski, et al. (2013). “Revisiting regression in autism: Heller’s dementia infantilis. Includes a translation of Über Dementia Infantilis.” J Autism Dev Disord 43(2): 265-271. link
  24. Centers of Disease Control (2012). “Prevalence of Autism Spectrum Disorders–Autism and developmental disabilities monitoring network, 14 sites, United States, 2008.” MMWR Surveill Summ 61(3): 1-19. link
  25. Churches, O., S. Baron-Cohen, et al. (2012). “The psychophysiology of narrower face processing in autism spectrum conditions.” Neuroreport 23(6): 395-399. link
  26. Dawson, G., Jones, E.J., et al. (2012). “Early behavioral intervention is associated with normalized brain activity in young children with autism.” J Am Acad Child Adolesc Psychiatry, 51(11): 1150-1159. link
  27. Ecker, C., J. Suckling, et al. (2012). “Brain anatomy and its relationship to behavior in adults with autism spectrum disorder: a multicenter magnetic resonance imaging study.” Arch Gen Psychiatry 69(2): 195-209. link
  28. Faja, S., Webb, S., et al. (2012). “The effects of face expertise training on the behavioral performance and brain activity of adults with high functioning autism spectrum disorders.” J Autism Dev Disord 42(2): 278-293. link
  29. Iossifov, I., M. Ronemus, et al. (2012). “De novo gene disruptions in children on the autistic spectrum.” Neuron 74(2): 285-299. link
  30. Kylliainen, A., S. Wallace, et al. (2012). “Affective-motivational brain responses to direct gaze in children with autism spectrum disorder.” J Child Psychol Psychiatry 53(7): 790-797. link
  31. O’Roak, B., Vives, L., et al. (2012). “Multiplex targeted sequencing identifies recurrently mutated genes in autism spectrum disorders.” Science, 338(6114):1619-1622. link
  32. O’Roak, B., Vives, L., et al. (2012). “Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations.” Nature, 485(7397):246-250. link
  33. Zwaigenbaum, L., S. Bryson, et al. (2012). “Sex differences in children with Autism Spectrum Disorder identified within a high-risk infant cohort.” J Autism Dev Disord. link
  34. Jou, R., N. Mateljevic, et al. (2011). “Structural neural phenotype of autism: Preliminary evidence from a diffusion tensor imaging study using tract-based spatial statistics.” AJNR Am J Neuroradiol 32(9): 1607-1613. link
  35. Kohls, G., J. Peltzer, et al. (2011). “Atypical brain responses to reward cues in autism as revealed by event-related potentials.” J Autism Dev Disord 41(11): 1523-1533. link
  36. Marco, E., L. Hinkley, et al. (2011). “Sensory processing in autism: a review of neurophysiologic findings.” Pediatr Res 69(5 Pt 2): 48R-54R. 
  37. Rinehart, N., K. Cornish, et al. (2011). “Gender differences in neurodevelopmental disorders: autism and fragile x syndrome.” Curr Top Behav Neurosci 8: 209-229. link
  38. Turner, T., V. Pihur, et al. (2011). “Quantifying and modeling birth order effects in autism.” PloS one 6(10): e26418. link
  39. Williams, E. and M. Casanova (2011). “Above genetics: lessons from cerebral development in autism.” Transl Neurosci 2(2): 106-120. link
  40. Wetmore, D. and C. Garner (2010). “Emerging pharmacotherapies for neurodevelopmental disorders.” J Dev Behav Pediatr 31(7): 564-581. link
  41. Noonan, S., F. Haist, et al. (2009). “Aberrant functional connectivity in autism: evidence from low-frequency BOLD signal fluctuations.” Brain research 1262: 48-63. link