General introduction positive on one or more aspects of a multifaceted screening procedure for ASD in order to confirm this diagnosis. Chapter 3 of this <strong>the</strong>sis additionally involves data collected within <strong>the</strong> Raine Study, an Australian cohort study of women recruited prior to 18 weeks gestation from <strong>the</strong> public antenatal clinic at King Edward Memorial Hospital or surrounding private clinics, between May 1989 and November 1991 (Newnham, Evans, Michael, Stanley and Landau 1993). As part of a trial investigating effects of prenatal ultrasound, women underwent one or more ultrasound measurements during pregnancy. To <strong>the</strong>se women, 2,868 children were born and available for postnatal follow-up, including behavioral assessments. 1 Outline This <strong>the</strong>sis is divided into two parts. Part I focuses on various aspects of <strong>the</strong> neurobiology of autism, utilizing continuous trait measures. In chapter 2, we describe several characteristics of cortical morphology in children with autistic traits and in chapter 3, we focused on prenatal brain growth using ultrasound measurements. In chapter 4, we studied white matter integrity and chapter 5, we investigated dynamic characteristics of resting state connectivity in children with autistic traits. The second part of this <strong>the</strong>sis focuses on specific cognitive and neurobiological characteristics of children with internalizing and externalizing problems. In chapter 6, we studied specific cognitive problems in children with internalizing, externalizing and dysregulation problems. In chapter 7, we studied brain morphology related to internalizing behavior in young children. Finally, in chapter 8, we discuss <strong>the</strong> main findings of <strong>the</strong>se studies in <strong>the</strong> context of recent literature and we discuss methodological considerations, as well as implications of <strong>the</strong>se studies for fur<strong>the</strong>r research and clinical practice. 17
Chapter 1 REFERENCES Achenbach, T. M. and L. A. Rescorla (2000). Manual for <strong>the</strong> ASEBA Preschool Forms & Profiles. Burlington, VT., University of Vermont, Reseach Center for Children, Youth and Families. Amaral, D. G., C. M. Schumann and C. W. Nordahl (2008). “Neuroanatomy of autism.” Trends in Neurosciences 31(3): 137-145. Anderson, J. S. (2014). Cortical Underconnectivity Hypo<strong>the</strong>sis in Autism: Evidence from Functional Connectivity MRI. Comprehensive Guide to Autism. B. V. Patel, R. V. Preedy and R. C. Martin. New York, NY, Springer New York: 1457-1471. Aoki, Y., O. Abe, Y. Nippashi and H. Yamasue (2013). “Comparison of white matter integrity between autism spectrum disorder subjects and typically developing individuals: a meta-analysis of diffusion tensor imaging tractography studies.” Molecular Autism 4. Baxter, A. J., T. S. Brugha, H. E. Erskine, R. W. Scheurer, T. Vos and J. G. Scott (2015). “The epidemiology and global burden of autism spectrum disorders.” Psychol Med 45(3): 601-613. Belmonte, M. K., G. Allen, A. Beckel-Mitchener, L. M. Boulanger, R. A. Carper and S. J. Webb (2004). “Autism and abnormal development of brain connectivity.” J Neurosci 24(42): 9228-9231. Buescher, A. V., Z. Cidav, M. Knapp and D. S. Mandell (2014). “Costs of autism spectrum disorders in <strong>the</strong> United Kingdom and <strong>the</strong> United States.” JAMA Pediatr 168(8): 721-728. Calhoun, V. D., R. Miller, G. Pearlson and T. Adali (2014). “The chronnectome: time-varying connectivity networks as <strong>the</strong> next frontier in fMRI data discovery.” Neuron 84(2): 262-274. Cantwell, D. P. (1996). “Classification of child and adolescent psychopathology.” J Child Psychol Psychiatry 37(1): 3-12. Caron, C. and M. Rutter (1991). “Comorbidity in Child Psychopathology - Concepts, Issues and Research Strategies.” Journal of Child Psychology and Psychiatry and Allied Disciplines 32(7): 1063-1080. Casanova, M. F., A. El-Baz, M. Mott, G. Mannheim, H. Hassan, R. Fahmi, J. Giedd, J. M. Rumsey, A. E. Switala and A. Farag (2009). “Reduced Gyral Window and Corpus Callosum Size in Autism: Possible Macroscopic Correlates of a Minicolumnopathy.” Journal of Autism and Developmental Disorders 39(5): 751-764. Casanova, M. F., I. A. van Kooten, A. E. Switala, H. van Engeland, H. Heinsen, H. W. Steinbusch, P. R. Hof, J. Trippe, J. Stone and C. Schmitz (2006). “Minicolumnar abnormalities in autism.” Acta Neuropathol 112(3): 287-303. Constantino, J. N. (2011). “The quantitative nature of autistic social impairment.” Pediatr Res 69(5 Pt 2): 55R-62R. Constantino, J. N., P. Majmudar, A. Bottini, M. Arvin, Y. Virkud, P. Simons and E. Spitznagel (2010). “Infant head growth in male siblings of children with and without autism spectrum disorders.” Journal of neurodevelopmental disorders 2(1): 39-46. Courchesne, E., C. M. Karns, H. R. Davis, R. Ziccardi, R. A. Carper, Z. D. Tigue, H. J. Chisum, P. Moses, K. Pierce, C. Lord, A. J. Lincoln, S. Pizzo, L. Schreibman, R. H. Haas, N. A. Akshoomoff and R. Y. Courchesne (2001). “Unusual brain growth patterns in early life in patients with autistic disorder: an MRI study.” Neurology 57(2): 245-254. Geschwind, D. H. (2011). “Genetics of autism spectrum disorders.” Trends Cogn Sci 15(9): 409-416. Geschwind, D. H. and P. Levitt (2007). “Autism spectrum disorders: developmental disconnection syndromes.” Curr Opin Neurobiol 17(1): 103-111. Hadjikhani, N., R. M. Joseph, J. Snyder and H. Tager-Flusberg (2006). “Anatomical differences in <strong>the</strong> mirror neuron system and social cognition network in autism.” Cerebral Cortex 16(9): 1276-1282. Hardan, A. Y., S. Muddasani, M. Vemulapalli, M. S. Keshavan and N. J. Minshew (2006). “An MRI study of increased cortical thickness in autism.” American Journal of Psychiatry 163(7): 1290-1292. 18
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