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D. R. Roalf, Gur, R. E., Ruparel, K., Calkins, M. E., Satterthwaite, T. D., Bilker, W. B., Hakonarson, H., Harris, L. Julius, and Gur, R. C., Within-individual variability in neurocognitive performance: age- and sex-related differences in children and youths from ages 8 to 21., Neuropsychology, vol. 28, no. 4, pp. 506-18, 2014.
S. Kelly, Jahanshad, N., Zalesky, A., Kochunov, P., Agartz, I., Alloza, C., Andreassen, O. A., Arango, C., Banaj, N., Bouix, S., Bousman, C. A., Brouwer, R. M., Bruggemann, J., Bustillo, J., Cahn, W., Calhoun, V., Cannon, D., Carr, V., Catts, S., Chen, J., Chen, J. - X., Chen, X., Chiapponi, C., Cho, K. K., Ciullo, V., Corvin, A. S., Crespo-Facorro, B., Cropley, V., De Rossi, P., Diaz-Caneja, C. M., Dickie, E. W., Ehrlich, S., Fan, F. - M., Faskowitz, J., Fatouros-Bergman, H., Flyckt, L., Ford, J. M., Fouche, J. - P., Fukunaga, M., Gill, M., Glahn, D. C., Gollub, R., Goudzwaard, E. D., Guo, H., Gur, R. E., Gur, R. C., Gurholt, T. P., Hashimoto, R., Hatton, S. N., Henskens, F. A., Hibar, D. P., Hickie, I. B., Hong, L. E., Horacek, J., Howells, F. M., Pol, H. E. Hulshoff, Hyde, C. L., Isaev, D., Jablensky, A., Jansen, P. R., Janssen, J., Jönsson, E. G., Jung, L. A., Kahn, R. S., Kikinis, Z., Liu, K., Klauser, P., Knöchel, C., Kubicki, M., Lagopoulos, J., Langen, C., Lawrie, S., Lenroot, R. K., Lim, K. O., Lopez-Jaramillo, C., Lyall, A., Magnotta, V., Mandl, R. C. W., Mathalon, D. H., McCarley, R. W., McCarthy-Jones, S., McDonald, C., McEwen, S., McIntosh, A., Melicher, T., Mesholam-Gately, R. I., Michie, P. T., Mowry, B., Mueller, B. A., Newell, D. T., O'Donnell, P., Oertel-Knöchel, V., Oestreich, L., Paciga, S. A., Pantelis, C., Pasternak, O., Pearlson, G., Pellicano, G. R., Pereira, A., J Zapata, P., Piras, F., Potkin, S. G., Preda, A., Rasser, P. E., Roalf, D. R., Roiz, R., Roos, A., Rotenberg, D., Satterthwaite, T. D., Savadjiev, P., Schall, U., Scott, R. J., Seal, M. L., Seidman, L. J., C Weickert, S., Whelan, C. D., Shenton, M. E., Kwon, J. S., Spalletta, G., Spaniel, F., Sprooten, E., Stäblein, M., Stein, D. J., Sundram, S., Tan, Y., Tan, S., Tang, S., Temmingh, H. S., Westlye, L. T., Tønnesen, S., Tordesillas-Gutierrez, D., Doan, N. T., Vaidya, J., van Haren, N. E. M., Vargas, C. D., Vecchio, D., Velakoulis, D., Voineskos, A., Voyvodic, J. Q., Wang, Z., Wan, P., Wei, D., Weickert, T. W., Whalley, H., White, T., Whitford, T. J., Wojcik, J. D., Xiang, H., Xie, Z., Yamamori, H., Yang, F., Yao, N., Zhang, G., Zhao, J., van Erp, T. G. M., Turner, J., Thompson, P. M., and Donohoe, G., Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group., Mol Psychiatry, vol. 23, no. 5, pp. 1261-1269, 2018.
F. Zhang, Savadjiev, P., Caí, W., Song, Y., Rathi, Y., Tunc, B., Parker, D., Kapur, T., Schultz, R. T., Makris, N., Verma, R., and O'Donnell, L. J., Whole brain white matter connectivity analysis using machine learning: An application to autism., Neuroimage, vol. 172, pp. 826-837, 2018.
D. R. Roalf, Gur, R. E., Verma, R., Parker, W. A., Quarmley, M., Ruparel, K., and Gur, R. C., White matter microstructure in schizophrenia: associations to neurocognition and clinical symptomatology., Schizophr Res, vol. 161, no. 1, pp. 42-9, 2015.
J. T. Elison, Paterson, S. J., Wolff, J. J., J Reznick, S., Sasson, N. J., Gu, H., Botteron, K. N., Dager, S. R., Estes, A. M., Evans, A. C., Gerig, G., Hazlett, H. C., Schultz, R. T., Styner, M., Zwaigenbaum, L., and Piven, J., White matter microstructure and atypical visual orienting in 7-month-olds at risk for autism., Am J Psychiatry, vol. 170, no. 8, pp. 899-908, 2013.
D. R. Roalf, J Schmitt, E., Vandekar, S. N., Satterthwaite, T. D., Shinohara, R. T., Ruparel, K., Elliott, M. A., Prabhakaran, K., McDonald-McGinn, D. M., Zackai, E. H., Gur, R. C., Emanuel, B. S., and Gur, R. E., White matter microstructural deficits in 22q11.2 deletion syndrome., Psychiatry Res Neuroimaging, vol. 268, pp. 35-44, 2017.
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.
L. Bloy, Ingalhalikar, M., Eavani, H., Schultz, R. T., Roberts, T. P. L., and Verma, R., White matter atlas generation using HARDI based automated parcellation., Neuroimage, vol. 59, no. 4, pp. 4055-63, 2012.
A. Cavazzana, Wesarg, C., Parish-Morris, J., Lundström, J. N., and Parma, V., When preschoolers follow their eyes and older children follow their noses: visuo-olfactory social affective matching in childhood, Developmental Science, 2016.
C. Chevallier, Noveck, I., Happé, F., and Wilson, D., What's in a voice? Prosody as a test case for the Theory of Mind account of autism., Neuropsychologia, vol. 49, no. 3, pp. 507-17, 2011.
R. P. Thomas, Wang, L. A. L., Guthrie, W., Cola, M., McCleery, J. P., Pandey, J., Schultz, R. T., and Miller, J. S., What’s in a name? A preliminary event-related potential study of response to name in preschool children with and without autism spectrum disorder, PloS one, vol. 14, p. e0216051, 2019.
V. Lushin, Becker-Haimes, E. M., Mandell, D., Conrad, J., Kaploun, V., Bailey, S., Bo, A., and Beidas, R. S., What Motivates Mental Health Clinicians-in-Training to Implement Evidence-Based Assessment? A Survey of Social Work Trainees., Adm Policy Ment Health, vol. 46, no. 3, pp. 411-424, 2019.
A. B. Ratto, Kenworthy, L., Yerys, B. E., Bascom, J., Wieckowski, A. Trubanova, White, S. W., Wallace, G. L., Pugliese, C., Schultz, R. T., Ollendick, T. H., Scarpa, A., Seese, S., Register-Brown, K., Martin, A., and Anthony, L. Gutermuth, What About the Girls? Sex-Based Differences in Autistic Traits and Adaptive Skills., J Autism Dev Disord, vol. 48, no. 5, pp. 1698-1711, 2018.
N. Marrus, Eggebrecht, A. T., Todorov, A., Elison, J. T., Wolff, J. J., Cole, L., Gao, W., Pandey, J., Shen, M. D., Swanson, M. R., Emerson, R. W., Klohr, C. L., Adams, C. M., Estes, A. M., Zwaigenbaum, L., Botteron, K. N., Mckinstry, R. C., Constantino, J. N., Evans, A. C., Hazlett, H. C., Dager, S. R., Paterson, S. J., Schultz, R. T., Styner, M. A., Gerig, G., Schlaggar, B. L., Piven, J., and Pruett, J. R., Walking, Gross Motor Development, and Brain Functional Connectivity in Infants and Toddlers., Cereb Cortex, vol. 28, no. 2, pp. 750-763, 2018.
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H. Crawford, Moss, J., Oliver, C., Elliott, N., Anderson, G. M., and McCleery, J. P., Visual preference for social stimuli in individuals with autism or neurodevelopmental disorders: an eye-tracking study., Mol Autism, vol. 7, p. 24, 2016.
C. Harrop, Jones, D., Zheng, S., Nowell, S., Schultz, R., and Parish-Morris, J., Visual attention to faces in children with autism spectrum disorder: are there sex differences?, Mol Autism, vol. 10, p. 28, 2019.
C. Harrop, Jones, D., Zheng, S., Nowell, S., Schultz, R., and Parish-Morris, J., Visual attention to faces in children with autism spectrum disorder: are there sex differences?, Molecular autism, vol. 10, p. 28, 2019.
J. Parish-Morris, Chevallier, C., Tonge, N., Letzen, J., Pandey, J., and Schultz, R. T., Visual attention to dynamic faces and objects is linked to face processing skills: a combined study of children with autism and controls, Frontiers in psychology, vol. 4, p. 185, 2013.
A. N. Khambhati, Davis, K. A., Lucas, T. H., Litt, B., and Bassett, D. S., Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution., Neuron, vol. 91, no. 5, pp. 1170-1182, 2016.
A. de Marchena, Verbal Mediation, in Encyclopedia of Clinical Neuropsychology, Springer, 2011, pp. 2607–2608.
J. I. Berman, McDaniel, J., Liu, S., Cornew, L., Gaetz, W., Roberts, T. P. L., and J Edgar, C., Variable bandwidth filtering for improved sensitivity of cross-frequency coupling metrics., Brain Connect, vol. 2, no. 3, pp. 155-63, 2012.
B. St Pourcain, Skuse, D. H., Mandy, W. P., Wang, K., Hakonarson, H., Timpson, N. J., Evans, D. M., Kemp, J. P., Ring, S. M., McArdle, W. L., Golding, J., and Smith, G. Davey, Variability in the common genetic architecture of social-communication spectrum phenotypes during childhood and adolescence., Mol Autism, vol. 5, no. 1, p. 18, 2014.
S. Hyun Kim, Bal, V. H., Benrey, N., Choi, Y. Bi, Guthrie, W., Colombi, C., and Lord, C., Variability in Autism Symptom Trajectories Using Repeated Observations From 14 to 36 Months of Age., J Am Acad Child Adolesc Psychiatry, vol. 57, no. 11, pp. 837-848.e2, 2018.
S. M. Gruschow, Yerys, B. E., Power, T. J., Durbin, D. R., and Curry, A. E., Validation of the Use of Electronic Health Records for Classification of ADHD Status., J Atten Disord, p. 1087054716672337, 2016.
M. J. Gandal, J Edgar, C., Ehrlichman, R. S., Mehta, M., Roberts, T. P. L., and Siegel, S. J., Validating γ oscillations and delayed auditory responses as translational biomarkers of autism., Biol Psychiatry, vol. 68, no. 12, pp. 1100-6, 2010.
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J. Fishman, Beidas, R., Reisinger, E., and Mandell, D. S., The Utility of Measuring Intentions to Use Best Practices: A Longitudinal Study Among Teachers Supporting Students With Autism., J Sch Health, vol. 88, no. 5, pp. 388-395, 2018.
L. D. Wiggins, Reynolds, A., Rice, C. E., Moody, E. J., Bernal, P., Blaskey, L., Rosenberg, S. A., Lee, L. - C., and Levy, S. E., Using standardized diagnostic instruments to classify children with autism in the study to explore early development., J Autism Dev Disord, vol. 45, no. 5, pp. 1271-80, 2015.
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.
M. Hauser, Sariyanidi, E., Tunc, B., Zampella, C., Brodkin, E., Schultz, R., and Parish-Morris, J., Using natural conversations to classify autism with limited data: Age matters, in Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, Minneapolis, Minnesota, 2019.
M. Hauser, Sariyanidi, E., Tunc, B., Zampella, C., Brodkin, E., Schultz, R. T., and Parish-Morris, J., Using natural conversations to classify autism with limited data: Age matters, in Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, 2019.
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.
J. W. Tanaka, Wolf, J. M., Klaiman, C., Koenig, K., Cockburn, J., Herlihy, L., Brown, C., Stahl, S., Kaiser, M. D., and Schultz, R. T., Using computerized games to teach face recognition skills to children with autism spectrum disorder: the Let's Face It! program., J Child Psychol Psychiatry, vol. 51, no. 8, pp. 944-52, 2010.
L. Lawer, Brusilovskiy, E., Salzer, M. S., and Mandell, D. S., Use of vocational rehabilitative services among adults with autism., J Autism Dev Disord, vol. 39, no. 3, pp. 487-94, 2009.
B. B. Maddox, Trubanova, A., and White, S. W., Untended wounds: Non-suicidal self-injury in adults with autism spectrum disorder., Autism, vol. 21, no. 4, pp. 412-422, 2017.
V. Troiani, Price, E. T., and Schultz, R. T., Unseen fearful faces promote amygdala guidance of attention., Soc Cogn Affect Neurosci, vol. 9, no. 2, pp. 133-40, 2014.
B. Tunc and Verma, R., Unifying Inference of Meso-Scale Structures in Networks., PLoS One, vol. 10, no. 11, p. e0143133, 2015.
D. S. Bassett, Xia, C. Huchuan, and Satterthwaite, T. D., Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience., Biol Psychiatry Cogn Neurosci Neuroimaging, vol. 3, no. 9, pp. 742-753, 2018.
L. Kenworthy, Yerys, B. E., Anthony, L. Gutermuth, and Wallace, G. L., Understanding executive control in autism spectrum disorders in the lab and in the real world., Neuropsychol Rev, vol. 18, no. 4, pp. 320-38, 2008.
D. S. Mandell, Understanding and addressing the impact of autism on the family., LDI Issue Brief, vol. 17, no. 7, pp. 1-4, 2012.
I. Sarinopoulos, Grupe, D. W., Mackiewicz, K. L., Herrington, J. D., Lor, M., Steege, E. E., and Nitschke, J. B., Uncertainty during anticipation modulates neural responses to aversion in human insula and amygdala., Cereb Cortex, vol. 20, no. 4, pp. 929-40, 2010.
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.
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C. Giusti, Ghrist, R., and Bassett, D. S., Two's company, three (or more) is a simplex : Algebraic-topological tools for understanding higher-order structure in neural data., J Comput Neurosci, vol. 41, no. 1, pp. 1-14, 2016.
B. B. Maddox, Kang-Yi, C. D., Brodkin, E. S., and Mandell, D. S., Treatment Utilization by Adults with Autism and Co-Occurring Anxiety or Depression., Res Autism Spectr Disord, vol. 51, pp. 32-37, 2018.
L. J. Farrell, James, S. C., Maddox, B. B., Griffiths, D., and White, S., Treatment of Comorbid Obsessive-Compulsive Disorder in Youth with ASD: The Case of Max, in Clinical Handbook of Obsessive-Compulsive and Related Disorders, Springer, 2016, pp. 337–355.
C. J Edgar, Fisk, C. L., Liu, S., Pandey, J., Herrington, J. D., Schultz, R. T., and Roberts, T. P. L., Translating Adult Electrophysiology Findings to Younger Patient Populations: Difficulty Measuring 40-Hz Auditory Steady-State Responses in Typically Developing Children and Children with Autism Spectrum Disorder., Dev Neurosci, vol. 38, no. 1, pp. 1-14, 2016.
L. L. Shea, Field, R., Xie, M., Marcus, S., Newschaffer, C., and Mandell, D., Transition-Age Medicaid Coverage for Adolescents With Autism and Adolescents With Intellectual Disability., Am J Intellect Dev Disabil, vol. 124, no. 2, pp. 174-185, 2019.
R. S. Beidas, Volpp, K. G., Buttenheim, A. N., Marcus, S. C., Olfson, M., Pellecchia, M., Stewart, R. E., Williams, N. J., Becker-Haimes, E. M., Candon, M., Cidav, Z., Fishman, J., Lieberman, A., Zentgraf, K., and Mandell, D., Transforming Mental Health Delivery Through Behavioral Economics and Implementation Science: Protocol for Three Exploratory Projects., JMIR Res Protoc, vol. 8, no. 2, p. e12121, 2019.
H. Schoch and Abel, T., Transcriptional co-repressors and memory storage., Neuropharmacology, vol. 80, pp. 53-60, 2014.
J. M. Spielberg, Miller, G. A., Engels, A. S., Herrington, J. D., Sutton, B. P., Banich, M. T., and Heller, W., Trait approach and avoidance motivation: lateralized neural activity associated with executive function., Neuroimage, vol. 54, no. 1, pp. 661-70, 2011.
A. C. Stahmer, Reed, S., Lee, E., Reisinger, E. M., Connell, J. E., and Mandell, D. S., Training Teachers to use Evidence-Based Practices for Autism: Examining Procedural Implementation fidelity., Psychol Sch, vol. 52, no. 2, pp. 181-195, 2015.
C. Morrow Kerns, Kendall, P. C., Berry, L., Souders, M. C., Franklin, M. E., Schultz, R. T., Miller, J., and Herrington, J., Traditional and atypical presentations of anxiety in youth with autism spectrum disorder., J Autism Dev Disord, vol. 44, no. 11, pp. 2851-61, 2014.
E. Portnoy, Polyak, B., Inbar, D., Kenan, G., Rai, A., Wehrli, S. L., Roberts, T. P. L., Bishara, A., Mann, A., Shmuel, M., Rozovsky, K., Itzhak, G., Ben-Hur, T., Magdassi, S., Ekstein, D., and Eyal, S., Tracking inflammation in the epileptic rat brain by bi-functional fluorescent and magnetic nanoparticles., Nanomedicine, vol. 12, no. 5, pp. 1335-45, 2016.
T. D. Satterthwaite and Davatzikos, C., Towards an Individualized Delineation of Functional Neuroanatomy., Neuron, vol. 87, no. 3, pp. 471-3, 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.
A. Klin, Wetherby, A. M., Woods, J., Saulnier, C., Stapel-Wax, J., Klaiman, C., Jones, W., Rubin, E., Scahill, L., Call, N., Bearss, K., Gunter, C., Courtemanche, C. J., Lemieux, A., Cox, J. C., Mandell, D. S., Van Decar, J. P., Miller, R. A., and Shireman, C. L., Toward innovative, cost-effective, and systemic solutions to improve outcomes and well-being of military families affected by autism spectrum disorder., Yale J Biol Med, vol. 88, no. 1, pp. 73-9, 2015.
S. N. Vandekar, Shinohara, R. T., Raznahan, A., Roalf, D. R., Ross, M., DeLeo, N., Ruparel, K., Verma, R., Wolf, D. H., Gur, R. C., Gur, R. E., and Satterthwaite, T. D., Topologically dissociable patterns of development of the human cerebral cortex., J Neurosci, vol. 35, no. 2, pp. 599-609, 2015.
S. N. Baldassano and Bassett, D. S., Topological distortion and reorganized modular structure of gut microbial co-occurrence networks in inflammatory bowel disease., Sci Rep, vol. 6, p. 26087, 2016.
C. Giusti, Papadopoulos, L., Owens, E. T., Daniels, K. E., and Bassett, D. S., Topological and geometric measurements of force-chain structure., Phys Rev E, vol. 94, no. 3-1, p. 032909, 2016.
P. T. Shattuck, Durkin, M., Maenner, M., Newschaffer, C., Mandell, D. S., Wiggins, L., Lee, L. - C., Rice, C., Giarelli, E., Kirby, R., Baio, J., Pinto-Martin, J., and Cuniff, C., Timing of identification among children with an autism spectrum disorder: findings from a population-based surveillance study., J Am Acad Child Adolesc Psychiatry, vol. 48, no. 5, pp. 474-483, 2009.
L. G. Holmes and Himle, M. B., Tics, in The SAGE Encyclopedia of Abnormal and Clinical Psychology, Thousand Oaks, CA: Sage Publications, Inc., 2017.
J. P. Thawani, Singh, N., Pisapia, J. M., Abdullah, K. G., Parker, D., Pukenas, B. A., Zager, E. L., Verma, R., and Brem, S., Three-Dimensional Printed Modeling of Diffuse Low-Grade Gliomas and Associated White Matter Tract Anatomy., Neurosurgery, vol. 80, no. 4, pp. 635-645, 2017.
A. Klin, Pauls, D., Schultz, R., and Volkmar, F., Three diagnostic approaches to Asperger syndrome: implications for research., J Autism Dev Disord, vol. 35, no. 2, pp. 221-34, 2005.
A. F. Alexander-Bloch, Shou, H., Liu, S., Satterthwaite, T. D., Glahn, D. C., Shinohara, R. T., Vandekar, S. N., and Raznahan, A., On testing for spatial correspondence between maps of human brain structure and function., Neuroimage, vol. 178, pp. 540-551, 2018.
R. E. Stewart, Becker-Haimes, E. M., Maddox, B. B., Okamura, K., Wolk, C. B., and Beidas, R. S., Test your implementation science IQ!, The Behavior Therapist, vol. 40, no. 7, pp. 238-240, 2017.
A. Savran, Cao, H., Nenkova, A., and Verma, R., Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities., IEEE Trans Cybern, vol. 45, no. 9, pp. 1927-41, 2015.
R. K. Myers, Bonsu, J. M., Carey, M. E., Yerys, B. E., Mollen, C. J., and Curry, A. E., Teaching Autistic Adolescents and Young Adults to Drive: Perspectives of Specialized Driving Instructors, Autism in Adulthood, 2019.
J. Locke, Olsen, A., Wideman, R., Downey, M. Mary, Kretzmann, M., Kasari, C., and Mandell, D. S., A tangled web: the challenges of implementing an evidence-based social engagement intervention for children with autism in urban public school settings., Behav Ther, vol. 46, no. 1, pp. 54-67, 2015.
K. H. Wood, Johnson, B. S., Welsh, S. A., Lee, J. Y., Cui, Y., Krizman, E., Brodkin, E. S., Blendy, J. A., Robinson, M. B., Bartolomei, M. S., and Zhou, Z., Tagging methyl-CpG-binding domain proteins reveals different spatiotemporal expression and supports distinct functions., Epigenomics, vol. 8, no. 4, pp. 455-73, 2016.
K. H. Wood, Johnson, B. S., Welsh, S. A., Lee, J. Y., Cui, Y., Krizman, E., Brodkin, E. S., Blendy, J. A., Robinson, M. B., Bartolomei, M. S., and others, Tagging methyl-CpG-binding domain proteins reveals different spatiotemporal expression and supports distinct functions, Epigenomics, vol. 8, pp. 455–473, 2016.
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R. A. Vasa, Carroll, L. M., Nozzolillo, A. A., Mahajan, R., Mazurek, M. O., Bennett, A. E., Wink, L. K., and Bernal, M. Pilar, A systematic review of treatments for anxiety in youth with autism spectrum disorders., J Autism Dev Disord, vol. 44, no. 12, pp. 3215-29, 2014.
S. P. Gilroy, McCleery, J. P., and Leader, G., Systematic Review of Methods for Teaching Social and Communicative Behavior with High-Tech Augmentative and Alternative Communication Modalities, Review Journal of Autism and Developmental Disorders, vol. 4, no. 4, pp. 307-320, 2017.
K. Lepeta, Lourenco, M. V., Schweitzer, B. C., Adami, P. V. Martino, Banerjee, P., Catuara-Solarz, S., Revenga, Mde La Fuen, Guillem, A. Marc, Haidar, M., Ijomone, O. M., Nadorp, B., Qi, L., Perera, N. D., Refsgaard, L. K., Reid, K. M., Sabbar, M., Sahoo, A., Schaefer, N., Sheean, R. K., Suska, A., Verma, R., Vicidomini, C., Wright, D., Zhang, X. - D., and Seidenbecher, C., Synaptopathies: synaptic dysfunction in neurological disorders - A review from students to students., J Neurochem, vol. 138, no. 6, pp. 785-805, 2016.
C. Chevallier, Parish-Morris, J., Tonge, N., Le, L., Miller, J., and Schultz, R. T., Susceptibility to the audience effect explains performance gap between children with and without autism in a theory of mind task., J Exp Psychol Gen, vol. 143, no. 3, pp. 972-9, 2014.
D. L. Robins, Hunyadi, E., and Schultz, R. T., Superior temporal activation in response to dynamic audio-visual emotional cues., Brain Cogn, vol. 69, no. 2, pp. 269-78, 2009.
J. D. Herrington, Riley, M. E., Grupe, D. W., and Schultz, R. T., Successful face recognition is associated with increased prefrontal cortex activation in autism spectrum disorder., J Autism Dev Disord, vol. 45, no. 4, pp. 902-10, 2015.
S. X. Tang, Yi, J. J., Moore, T. M., Calkins, M. E., Kohler, C. G., Whinna, D. A., Souders, M. C., Zackai, E. H., McDonald-McGinn, D. M., Emanuel, B. S., Bilker, W. B., Gur, R. C., and Gur, R. E., Subthreshold psychotic symptoms in 22q11.2 deletion syndrome., J Am Acad Child Adolesc Psychiatry, vol. 53, no. 9, pp. 991-1000.e2, 2014.
S. M. Barbon, Price, J. T., Reinkeluers, P. A., and Gilroy, J. B., Substituent-dependent optical and electrochemical properties of triarylformazanate boron difluoride complexes., Inorg Chem, vol. 53, no. 19, pp. 10585-93, 2014.
H. Huang, Chen, S. T., Titus, K. R., Emerson, D. J., Bassett, D. S., and Phillips-Cremins, J. E., A subset of topologically associating domains fold into mesoscale core-periphery networks, Scientific reports, vol. 9, p. 9526, 2019.
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