Research Library

  1. Home
  2. Research
  3. Research Library

Learn how you can help with a new
Autism, ADHD, Anxiety & Depression study.

CAR stands united with the Black Lives Matter movement
against racism and social injustice. Read more...

Export 10 results:
[ Author(Asc)] Title Type Year
Filters: First Letter Of Last Name is I  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
I
I. Ionita-Laza, Makarov, V., and Buxbaum, J. D., “Scan-statistic approach identifies clusters of rare disease variants in LRP2, a gene linked and associated with autism spectrum disorders, in three datasets.”, Am J Hum Genet, vol. 90, no. 6, pp. 1002-13, 2012.
M. Ingalhalikar, Parker, D., Ghanbari, Y., Smith, A., Hua, K., Mori, S., Abel, T., Davatzikos, C., and Verma, R., “Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging.”, Cereb Cortex, vol. 25, no. 9, pp. 2696-706, 2015.
M. Ingalhalikar, Smith, A. R., Bloy, L., Gur, R., Roberts, T. P. L., and Verma, R., “Identifying sub-populations via unsupervised cluster analysis on multi-edge similarity graphs.”, Med Image Comput Comput Assist Interv, vol. 15, no. Pt 2, pp. 254-61, 2012.
M. Ingalhalikar, Parker, W. A., Bloy, L., Roberts, T. P. L., and Verma, R., “Using multiparametric data with missing features for learning patterns of pathology.”, Med Image Comput Comput Assist Interv, vol. 15, no. Pt 3, pp. 468-75, 2012.
M. Ingalhalikar, Smith, A., Parker, D., Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Hakonarson, H., Gur, R. E., Gur, R. C., and Verma, R., “Sex differences in the structural connectome of the human brain.”, Proc Natl Acad Sci U S A, vol. 111, no. 2, pp. 823-8, 2014.
M. Ingalhalikar, Parker, D., Bloy, L., Roberts, T. P. L., and Verma, R., “Diffusion based abnormality markers of pathology: toward learned diagnostic prediction of ASD.”, Neuroimage, vol. 57, no. 3, pp. 918-27, 2011.
M. Ingalhalikar, Parker, W. A., Bloy, L., Roberts, T. P. L., and Verma, R., “Creating multimodal predictors using missing data: classifying and subtyping autism spectrum disorder.”, J Neurosci Methods, vol. 235, pp. 1-9, 2014.
R. A. Ø. ien, Hart, L., Schjølberg, S., Wall, C. A., Kim, E. S., Nordahl-Hansen, A., Eisemann, M. R., Chawarska, K., Volkmar, F. R., and Shic, F., “Parent-Endorsed Sex Differences in Toddlers with and Without ASD: Utilizing the M-CHAT”, Journal of Autism and Developmental Disorders, vol. 47, pp. 126–134, 2017.
S. Iadarola, Shih, W., Dean, M., Blanch, E., Harwood, R., Hetherington, S., Mandell, D., Kasari, C., and Smith, T., “Implementing a Manualized, Classroom Transition Intervention for Students With ASD in Underresourced Schools.”, Behav Modif, vol. 42, no. 1, pp. 126-147, 2018.
S. Iadarola, Hetherington, S., Clinton, C., Dean, M., Reisinger, E., Huynh, L., Locke, J., Conn, K., Heinert, S., Kataoka, S., Harwood, R., Smith, T., Mandell, D. S., and Kasari, C., “Services for children with autism spectrum disorder in three, large urban school districts: Perspectives of parents and educators.”, Autism, vol. 19, no. 6, pp. 694-703, 2015.