Resting state FMRI research in child psychiatric disorders

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Resting state FMRI research in child psychiatric disorders Marianne Oldehinkel • Winke Francx • Christian F. Beckmann • Jan K. Buitelaar Maarten Mennes



Received: 7 May 2013 / Accepted: 29 September 2013 / Published online: 3 December 2013 Ó Springer-Verlag Berlin Heidelberg 2013

Abstract Concurring with the shift from linking functions to specific brain areas towards studying network integration, resting state FMRI (R-FMRI) has become an important tool for delineating the functional network architecture of the brain. Fueled by straightforward data collection, R-FMRI analysis methods as well as studies reporting on R-FMRI have flourished, and already impact research on child- and adolescent psychiatric disorders. Here, we review R-FMRI analysis techniques and outline current methodological debates. Furthermore, we provide

Electronic supplementary material The online version of this article (doi:10.1007/s00787-013-0480-0) contains supplementary material, which is available to authorized users. M. Oldehinkel (&)  W. Francx  J. K. Buitelaar  M. Mennes (&) Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands e-mail: [email protected] M. Mennes e-mail: [email protected] M. Oldehinkel  W. Francx  C. F. Beckmann  J. K. Buitelaar  M. Mennes Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands C. F. Beckmann MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands C. F. Beckmann Centre for Functional MRI of the Brain, University of Oxford, Oxford, UK J. K. Buitelaar Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands

an overview of the main R-FMRI findings related to childand adolescent psychiatric disorders. R-FMRI research has contributed significantly to our understanding of brain function in child and adolescent psychiatry: existing hypotheses based on task-based FMRI were confirmed and new insights into the brain’s functional architecture of disorders were established. However, results were not always consistent. While resting state networks are robust and reproducible, neuroimaging research in psychiatric disorders is especially complicated by tremendous phenotypic heterogeneity. It is imperative that we overcome this heterogeneity when integrating neuroimaging into the diagnostic and treatment process. As R-FMRI allows investigating the richness of the human functional connectome and can be easily collected and aggregated into large-scale datasets, it is clear that R-FMRI can be a powerful tool in our quest to understand psychiatric pathology. Keywords Resting state FMRI  Functional connectivity  Child- and adolescent psychiatry  ADHD  ASD  MDD  Heterogeneity  Imaging

Transcending localization The year 2012 marked the 20th anniversary of the first published reports on functional magnetic resonance imaging (FMRI) [1–3]. While significant progress has been made in imaging sequences, stimulation paradigms an