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Author Title Type [ Year(Asc)]
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K. A. Linn, Gaonkar, B., Satterthwaite, T. D., Doshi, J., Davatzikos, C., and Shinohara, R. T., Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine., Neuroimage, vol. 132, pp. 157-166, 2016.
T. M. Moore, Reise, S. P., Roalf, D. R., Satterthwaite, T. D., Davatzikos, C., Bilker, W. B., Port, A. M., Jackson, C. T., Ruparel, K., Savitt, A. P., Baron, R. B., Gur, R. E., and Gur, R. C., Development of an itemwise efficiency scoring method: Concurrent, convergent, discriminant, and neuroimaging-based predictive validity assessed in a large community sample., Psychol Assess, vol. 28, no. 12, pp. 1529-1542, 2016.
E. N. Davison, Turner, B. O., Schlesinger, K. J., Miller, M. B., Grafton, S. T., Bassett, D. S., and Carlson, J. M., Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan., PLoS Comput Biol, vol. 12, no. 11, p. e1005178, 2016.
B. Tunc, Ingalhalikar, M., Parker, D., Lecoeur, J., Singh, N., Wolf, R. L., Macyszyn, L., Brem, S., and Verma, R., Individualized Map of White Matter Pathways: Connectivity-Based Paradigm for Neurosurgical Planning., Neurosurgery, vol. 79, no. 4, pp. 568-77, 2016.
R. S. Beidas, Maclean, J. Catherine, Fishman, J., Dorsey, S., Schoenwald, S. K., Mandell, D. S., Shea, J. A., McLeod, B. D., French, M. T., Hogue, A., Adams, D. R., Lieberman, A., Becker-Haimes, E. M., and Marcus, S. C., A randomized trial to identify accurate and cost-effective fidelity measurement methods for cognitive-behavioral therapy: project FACTS study protocol., BMC Psychiatry, vol. 16, no. 1, p. 323, 2016.
A. R. Canfield, Eigsti, I. - M., de Marchena, A., and Fein, D., Story Goodness in Adolescents With Autism Spectrum Disorder (ASD) and in Optimal Outcomes From ASD., J Speech Lang Hear Res, vol. 59, no. 3, pp. 533-45, 2016.
S. N. Vandekar, Shinohara, R. T., Raznahan, A., Hopson, R. D., Roalf, D. R., Ruparel, K., Gur, R. C., Gur, R. E., and Satterthwaite, T. D., Subject-level measurement of local cortical coupling., Neuroimage, vol. 133, pp. 88-97, 2016.
K. Bearss, Taylor, C. A., Aman, M. G., Whittemore, R., Lecavalier, L., Miller, J., Pritchett, J., Green, B., and Scahill, L., Using qualitative methods to guide scale development for anxiety in youth with autism spectrum disorder., Autism, vol. 20, no. 6, pp. 663-72, 2016.
L. B. Swineford, Guthrie, W., and Thurm, A., Convergent and divergent validity of the Mullen Scales of Early Learning in young children with and without autism spectrum disorder., Psychol Assess, vol. 27, no. 4, pp. 1364-78, 2015.
S. S. Leff, Baum, K. T., Bevans, K. B., and Blum, N. J., Development, validation, and utility of an instrument to assess core competencies in the Leadership Education in Neurodevelopmental and Related Disabilities (LEND) program., Matern Child Health J, vol. 19, no. 2, pp. 314-23, 2015.
L. Peixoto, Risso, D., Poplawski, S. G., Wimmer, M. E., Speed, T. P., Wood, M. A., and Abel, T., How data analysis affects power, reproducibility and biological insight of RNA-seq studies in complex datasets., Nucleic Acids Res, vol. 43, no. 16, pp. 7664-74, 2015.
A. M. Weljie, Meerlo, P., Goel, N., Sengupta, A., Kayser, M. S., Abel, T., Birnbaum, M. J., Dinges, D. F., and Sehgal, A., Oxalic acid and diacylglycerol 36:3 are cross-species markers of sleep debt., Proc Natl Acad Sci U S A, vol. 112, no. 8, pp. 2569-74, 2015.
B. Tunc, Shankar, V., Parker, D., Schultz, R. T., and Verma, R., Towards a Quantified Network Portrait of a Population., Inf Process Med Imaging, vol. 24, pp. 650-61, 2015.
N. A. Chauvin, Ho-Fung, V., Jaramillo, D., J Edgar, C., and Weiss, P. F., Ultrasound of the joints and entheses in healthy children., Pediatr Radiol, vol. 45, no. 9, pp. 1344-54, 2015.
Y. Shin Chang, Owen, J. P., Pojman, N. J., Thieu, T., Bukshpun, P., Wakahiro, M. L. J., Berman, J. I., Roberts, T. P. L., Nagarajan, S. S., Sherr, E. H., and Mukherjee, P., White Matter Changes of Neurite Density and Fiber Orientation Dispersion during Human Brain Maturation., PLoS One, vol. 10, no. 6, p. e0123656, 2015.
S. W. White, Schry, A. R., and Maddox, B. B., Brief report: The assessment of anxiety in high-functioning adolescents with autism spectrum disorder., J Autism Dev Disord, vol. 42, no. 6, pp. 1138-45, 2012.
Y. Ghanbari, Bloy, L., Batmanghelich, K., Roberts, T. P. L., and Verma, R., Dominant component analysis of electrophysiological connectivity networks., Med Image Comput Comput Assist Interv, vol. 15, no. Pt 3, pp. 231-8, 2012.
L. M. Nagae, Zarnow, D. M., Blaskey, L., Dell, J., Khan, S. Y., Qasmieh, S., Levy, S. E., and Roberts, T. P. L., Elevated mean diffusivity in the left hemisphere superior longitudinal fasciculus in autism spectrum disorders increases with more profound language impairment., AJNR Am J Neuroradiol, vol. 33, no. 9, pp. 1720-5, 2012.
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.
L. Bloy, Ingalhalikar, M., Batmanghelich, N. K., Schultz, R. T., Roberts, T. P. L., and Verma, R., An integrated framework for high angular resolution diffusion imaging-based investigation of structural connectivity., Brain Connect, vol. 2, no. 2, pp. 69-79, 2012.
J. Herrington, Nymberg, C., Faja, S., Price, E., and Schultz, R., The responsiveness of biological motion processing areas to selective attention towards goals., Neuroimage, vol. 63, no. 1, pp. 581-90, 2012.
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.
J. T. Glessner, Wang, K., Cai, G., Korvatska, O., Kim, C. E., Wood, S., Zhang, H., Estes, A., Brune, C. W., Bradfield, J. P., Imielinski, M., Frackelton, E. C., Reichert, J., Crawford, E. L., Munson, J., Sleiman, P. M. A., Chiavacci, R., Annaiah, K., Thomas, K., Hou, C., Glaberson, W., Flory, J., Otieno, F., Garris, M., Soorya, L., Klei, L., Piven, J., Meyer, K. J., Anagnostou, E., Sakurai, T., Game, R. M., Rudd, D. S., Zurawiecki, D., McDougle, C. J., Davis, L. K., Miller, J., Posey, D. J., Michaels, S., Kolevzon, A., Silverman, J. M., Bernier, R., Levy, S. E., Schultz, R. T., Dawson, G., Owley, T., McMahon, W. M., Wassink, T. H., Sweeney, J. A., Nurnberger, J. I., Coon, H., Sutcliffe, J. S., Minshew, N. J., Grant, S. F. A., Bućan, M., Cook, E. H., Buxbaum, J. D., Devlin, B., Schellenberg, G. D., and Hakonarson, H., Autism genome-wide copy number variation reveals ubiquitin and neuronal genes., Nature, vol. 459, no. 7246, pp. 569-73, 2009.
K. Wang, Zhang, H., Ma, D., Bućan, M., Glessner, J. T., Abrahams, B. S., Salyakina, D., Imielinski, M., Bradfield, J. P., Sleiman, P. M. A., Kim, C. E., Hou, C., Frackelton, E., Chiavacci, R., Takahashi, N., Sakurai, T., Rappaport, E., Lajonchere, C. M., Munson, J., Estes, A., Korvatska, O., Piven, J., Sonnenblick, L. I., Retuerto, A. I. Alvarez, Herman, E. I., Dong, H., Hutman, T., Sigman, M., Ozonoff, S., Klin, A., Owley, T., Sweeney, J. A., Brune, C. W., Cantor, R. M., Bernier, R., Gilbert, J. R., Cuccaro, M. L., McMahon, W. M., Miller, J., State, M. W., Wassink, T. H., Coon, H., Levy, S. E., Schultz, R. T., Nurnberger, J. I., Haines, J. L., Sutcliffe, J. S., Cook, E. H., Minshew, N. J., Buxbaum, J. D., Dawson, G., Grant, S. F. A., Geschwind, D. H., Pericak-Vance, M. A., Schellenberg, G. D., and Hakonarson, H., Common genetic variants on 5p14.1 associate with autism spectrum disorders., Nature, vol. 459, no. 7246, pp. 528-33, 2009.