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J. D. Dworkin, Shinohara, R. T., and Bassett, D. S., The landscape of NeuroImage-ing research., Neuroimage, vol. 183, pp. 872-883, 2018.
M. S. Durkin, Maenner, M. J., F Meaney, J., Levy, S. E., DiGuiseppi, C., Nicholas, J. S., Kirby, R. S., Pinto-Martin, J. A., and Schieve, L. A., Socioeconomic inequality in the prevalence of autism spectrum disorder: evidence from a U.S. cross-sectional study., PLoS One, vol. 5, no. 7, p. e11551, 2010.
A. L. Dunlop, Essalmi, A. Glazier, Alvalos, L., Breton, C., Camargo, C. A., Cowell, W. J., Dabelea, D., Dager, S. R., Duarte, C., Elliott, A., Fichorova, R., Gern, J., Hedderson, M. M., Thepaksorn, E. Hom, Huddleston, K., Karagas, M. R., Kleinman, K., Leve, L., Li, X., Li, Y., Litonjua, A., Ludena-Rodriguez, Y., Madan, J. C., Nino, J. Mateus, McEvoy, C., O'Connor, T. G., Padula, A. M., Paneth, N., Perera, F., Sathyanarayana, S., Schmidt, R. J., Schultz, R. T., Snowden, J., Stanford, J. B., Trasande, L., Volk, H. E., Wheaton, W., Wright, R. J., and McGrath, M., Racial and geographic variation in effects of maternal education and neighborhood-level measures of socioeconomic status on gestational age at birth: Findings from the ECHO cohorts., PLoS One, vol. 16, no. 1, p. e0245064, 2021.
J. Drakopoulos, Sparding, T., Clements, C., Pålsson, E., and Landén, M., Executive functioning but not IQ or illness severity predicts occupational status in bipolar disorder., Int J Bipolar Disord, vol. 8, no. 1, p. 7, 2020.
A. E. Doyle, Wilens, T. E., Kwon, A., Seidman, L. J., Faraone, S. V., Fried, R., Swezey, A., Snyder, L., and Biederman, J., Neuropsychological functioning in youth with bipolar disorder, Biological psychiatry, vol. 58, pp. 540–548, 2005.
D. Dow, Guthrie, W., Stronach, S. T., and Wetherby, A. M., Psychometric analysis of the Systematic Observation of Red Flags for autism spectrum disorder in toddlers., Autism, vol. 21, no. 3, pp. 301-309, 2017.
G. E. Doucet, Moser, D. A., Rodrigue, A., Bassett, D. S., Glahn, D. C., and Frangou, S., Person-Based Brain Morphometric Similarity is Heritable and Correlates With Biological Features., Cereb Cortex, vol. 29, no. 2, pp. 852-862, 2019.
J. Doshi, Erus, G., Ou, Y., Resnick, S. M., Gur, R. C., Gur, R. E., Satterthwaite, T. D., Furth, S., and Davatzikos, C., MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection., Neuroimage, vol. 127, pp. 186-195, 2016.
A. R. Dopp, Gilbert, M., Silovsky, J., Ringel, J. S., Schmidt, S., Funderburk, B., Jorgensen, A., Powell, B. J., Luke, D. A., Mandell, D., Edwards, D., Blythe, M., and Hagele, D., Coordination of sustainable financing for evidence-based youth mental health treatments: protocol for development and evaluation of the fiscal mapping process., Implement Sci Commun, vol. 3, no. 1, p. 1, 2022.
H. E. Dingfelder and Mandell, D. S., Bridging the research-to-practice gap in autism intervention: an application of diffusion of innovation theory., J Autism Dev Disord, vol. 41, no. 5, pp. 597-609, 2011.
A. Dimitropoulos and Schultz, R. T., Food-related neural circuitry in Prader-Willi syndrome: response to high- versus low-calorie foods., J Autism Dev Disord, vol. 38, no. 9, pp. 1642-53, 2008.
A. Dimitropoulos, Ho, A. Y., Klaiman, C., Koenig, K., and Schultz, R. T., A comparison of behavioral and emotional characteristics in children with autism, Prader-Willi syndrome, and Williams syndrome, Journal of Mental Health Research in Intellectual Disabilities, vol. 2, pp. 220–243, 2009.
A. F. Dimian, Botteron, K. N., Dager, S. R., Elison, J. T., Estes, A. M., Pruett, J. R., Schultz, R. T., Zwaigenbaum, L., Piven, J., and Wolff, J. J., Potential Risk Factors for the Development of Self-Injurious Behavior among Infants at Risk for Autism Spectrum Disorder., J Autism Dev Disord, vol. 47, no. 5, pp. 1403-1415, 2017.
E. F. Dillon, Kanne, S., Landa, R. J., Annett, R., Bernier, R., Bradley, C., Carpenter, L., Kim, S. Hyun, Parish-Morris, J., Schultz, R., and Wodka, E. L., Sex Differences in Autism: Examining Intrinsic and Extrinsic Factors in Children and Adolescents Enrolled in a National ASD Cohort., J Autism Dev Disord, 2021.
C. DiGuiseppi, Levy, S. E., Sabourin, K. R., Soke, G. N., Rosenberg, S., Lee, L. - C., Moody, E., and Schieve, L. A., Injuries in Children with Autism Spectrum Disorder: Study to Explore Early Development (SEED)., J Autism Dev Disord, vol. 48, no. 2, pp. 461-472, 2018.
L. Deuse, Rademacher, L. M., Winkler, L., Schultz, R. T., Gründer, G., and Lammertz, S. E., Neural correlates of naturalistic social cognition: brain-behavior relationships in healthy adults, Social Cognitive and Affective Neuroscience, vol. 11, pp. 1741–1751, 2016.
D. Deriso, Susskind, J., Tanaka, J., Winkielman, P., Herrington, J., Schultz, R., and Bartlett, M., Exploring the facial expression perception-production link using real-time automated facial expression recognition, in Computer Vision–ECCV 2012. Workshops and demonstrations, 2012.
A. de Marchena and Miller, J., “Frank” presentations as a novel research construct and element of diagnostic decision-making in autism spectrum disorder, Autism Research, 2016.
A. de Marchena and Eigsti, I. - M., The art of common ground: emergence of a complex pragmatic language skill in adolescents with autism spectrum disorders., J Child Lang, vol. 43, no. 1, pp. 43-80, 2016.
A. B. de Marchena, Eigsti, I. - M., and Yerys, B. E., Brief report: generalization weaknesses in verbally fluent children and adolescents with autism spectrum disorder., J Autism Dev Disord, vol. 45, no. 10, pp. 3370-6, 2015.
A. de Marchena and Eigsti, I. - M., Conversational gestures in autism spectrum disorders: Asynchrony but not decreased frequency, Autism research, vol. 3, pp. 311–322, 2010.
A. de Marchena, Kim, E. S., Bagdasarov, A., Parish-Morris, J., Maddox, B. B., Brodkin, E. S., and Schultz, R. T., Atypicalities of Gesture Form and Function in Autistic Adults., J Autism Dev Disord, vol. 49, no. 4, pp. 1438-1454, 2019.
A. de Marchena, Verbal Mediation, in Encyclopedia of Clinical Neuropsychology, Springer, 2011, pp. 2607–2608.
A. de Marchena, Eigsti, I. - M., Worek, A., Ono, K. Emiko, and Snedeker, J., Mutual exclusivity in autism spectrum disorders: Testing the pragmatic hypothesis, Cognition, vol. 119, pp. 96–113, 2011.
E. N. Davison, Schlesinger, K. J., Bassett, D. S., Lynall, M. - E., Miller, M. B., Grafton, S. T., and Carlson, J. M., Brain network adaptability across task states., PLoS Comput Biol, vol. 11, no. 1, p. e1004029, 2015.
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.
M. Davis, Siegel, J., Becker-Haimes, E. M., Jager-Hyman, S., Beidas, R. S., Young, J. F., Wislocki, K., Futterer, A., Mautone, J. A., Buttenheim, A. M., Mandell, D. S., Marx, D., and Wolk, C. Benjamin, Identifying Common and Unique Barriers and Facilitators to Implementing Evidence-Based Practices for Suicide Prevention across Primary Care and Specialty Mental Health Settings., Arch Suicide Res, pp. 1-23, 2021.
M. N. Davignon, Friedlaender, E., Cronholm, P. F., Paciotti, B., and Levy, S. E., Parent and provider perspectives on procedural care for children with autism spectrum disorders., J Dev Behav Pediatr, vol. 35, no. 3, pp. 207-15, 2014.
C. Davatzikos, Machine learning in neuroimaging: Progress and challenges., Neuroimage, vol. 197, pp. 652-656, 2019.
C. Davatzikos, Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning., Med Image Anal, vol. 33, pp. 149-154, 2016.
E. Danzer, Hoffman, C., D'Agostino, J. Ann, Miller, J. S., Waqar, L. N., Gerdes, M., Bernbaum, J. C., Rosenthal, H., Rintoul, N. E., Herkert, L. M., Peranteau, W. H., Flake, A. W., N Adzick, S., and Hedrick, H. L., Rate and Risk Factors Associated with Autism Spectrum Disorder in Congenital Diaphragmatic Hernia., J Autism Dev Disord, vol. 48, no. 6, pp. 2112-2121, 2018.
A. M. Daniels and Mandell, D. S., Explaining differences in age at autism spectrum disorder diagnosis: a critical review., Autism, vol. 18, no. 5, pp. 583-97, 2014.
A. M. Daniels and Mandell, D. S., Children's compliance with American Academy of Pediatrics' well-child care visit guidelines and the early detection of autism., J Autism Dev Disord, vol. 43, no. 12, pp. 2844-54, 2013.
H. M. Dahmoush, Vossough, A., and Roberts, T. P. L., Pediatric high-field magnetic resonance imaging., Neuroimaging Clin N Am, vol. 22, no. 2, pp. 297-313, xi, 2012.
D. D'Angelo, Lebon, S., Chen, Q., Martin-Brevet, S., Snyder, L. A. Green, Hippolyte, L., Hanson, E., Maillard, A. M., W Faucett, A., Macé, A., Pain, A., Bernier, R., Chawner, S. J. R. A., David, A., Andrieux, J., Aylward, E., Baujat, G., Caldeira, I., Conus, P., Ferrari, C., Forzano, F., Gérard, M., Goin-Kochel, R. P., Grant, E., Hunter, J. V., Isidor, B., Jacquette, A., Jønch, A. E., Keren, B., Lacombe, D., Le Caignec, C., Martin, C. Lese, Männik, K., Metspalu, A., Mignot, C., Mukherjee, P., Owen, M. J., Passeggeri, M., Rooryck-Thambo, C., Rosenfeld, J. A., Spence, S. J., Steinman, K. J., Tjernagel, J., Van Haelst, M., Shen, Y., Draganski, B., Sherr, E. H., Ledbetter, D. H., van den Bree, M. B. M., Beckmann, J. S., Spiro, J. E., Reymond, A., Jacquemont, S., and Chung, W. K., Defining the Effect of the 16p11.2 Duplication on Cognition, Behavior, and Medical Comorbidities., JAMA Psychiatry, vol. 73, no. 1, pp. 20-30, 2016.