Publications

2018

• Mogavero, F. et al. (2018). Clock genes, ADHD and aggression. Neuroscience & Biobehavioral Reviews Volume 91, August 2018, Pages 51-68, doi: 10.1016/j.neubiorev.2016.11.002.
• Garza, J.C. et al. (2018). Disruption of the psychiatric risk gene Ankyrin 3 enhances microtubule dynamics through GSK3/CRMP2 signaling. Translational Psychiatryvolume 8, Article number: 135 (2018), doi: 10.1038/s41398-018-0182-y.
• Macrì, S. et al. (2018). Neonatal corticosterone mitigates autoimmune neuropsychiatric disorders associated with streptococcus in mice. Scientific Reportsvolume 8, Article number: 10188 (2018), doi: :10.1038/s41598-018-28372-.
• Kong, X.-Z. et al. (2018). Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium. Proceedings of the National Academy of Sciences of the United States, doi: 10.1073/pnas.1718418115.
• Bielczyk, N.Z. et al. (2018). Thresholding functional connectomes by means of mixture modeling. NeuroImage, Volume 171, 1 May 2018, Pages 402-414, doi: 10.1016/j.neuroimage.2018.01.003.
• van Donkelaar, M.M.J. et al. (2018). Pleiotropic Contribution of MECOM and AVPR1A to Aggression and Subcortical Brain Volumes. Frontiers in Behavioral Neuroscience 12:61, doi: 10.3389/fnbeh.2018.00061.
• Schweren, L.J.S. et al. (2018). Long-term effects of stimulant treatment on ADHD symptoms, social–emotional functioning, and cognition. Psychological Medicine, 1-7, doi: 10.1017/S0033291718000545.
• Naaijen, J. et al. (2018). Anterior cingulate cortex glutamate and its association with striatal functioning during cognitive control. European Neuropsychopharmacology, March 2018, Volume 28, Issue 3, Pages 381–391, doi: 10.1016/j.euroneuro.2018.01.002.
• Akkermans, S.E.A. et al. (2018). Putamen functional connectivity during inhibitory control in smokers and non‐smokers. Addiction Biology, Volume 23, Issue 1, January 2018, Pages 359-368, doi: 10.1111/adb.12482.
• Forde, N.J. et al. (2018). Multi-modal imaging investigation of anterior cingulate cortex cytoarchitecture in neurodevelopment. European Neuropsychopharmacology, January 2018, Volume 28, Issue 1, Pages 13–23, doi: 10.1016/j.euroneuro.2017.11.021.
• Naaijen, J. et al. (2018). Striatal structure and its association with N-Acetylaspartate and glutamate in autism spectrum disorder and obsessive compulsive disorder. European Neuropsychopharmacology, January 2018, Volume 28, Issue 1, Pages 118–129, doi: 10.1016/j.euroneuro.2017.11.010.

2017

• Van Dijk, F.E. et al. (2017). Five factor model personality traits relate to adult attention-deficit/hyperactivity disorder but not to their distinct neurocognitive profiles. Psychiatry Research, Volume 258, December 2017, Pages 255-261, doi: 10.1016/j.psychres.2017.08.037.
• Jager, A. et al. (2017). Cortical control of aggression: GABA signalling in the anterior cingulate cortex. European Neuropsychopharmacology, 2017 Dec 20. pii: S0924-977X(17)32033-3, doi: 10.1016/j.euroneuro.2017.12.007.
• Chauvin, R.J. et al. (2017). Assessing age-dependent multi-task functional co-activation changes using measures of task-potency. Developmental Cognitive Neuroscience, 2017 Dec 5. pii: S1878-9293(17)30059-2, doi: 10.1016/j.dcn.2017.11.011.
• van Donkelaar, M.M.J. et al. (2017). Monoamine and neuroendocrine gene-sets associate with frustration-based aggression in a gender-specific manner. European Neuropsychopharmacology, 2017 Nov 27. pii: S0924-977X(17)32007-2, doi: 10.1016/j.euroneuro.2017.11.016.
• van Rooij, D. et al. (2017). Cortical and Subcortical Brain Morphometry Differences Between Patients With Autism Spectrum Disorder and Healthy Individuals Across the Lifespan: Results From the ENIGMA ASD Working Group. The American Journal of Psychiatry, Volume 175, Issue 4, doi: 10.1176/appi.ajp.2017.17010100.
• Akkermans, S.E.A. et al. (2017). Effect of tobacco smoking on frontal cortical thickness development: A longitudinal study in a mixed cohort of ADHD-affected and -unaffected youth. European Neuropsychopharmacology, October 2017, Volume 27, Issue 10, Pages 1022–1031, doi: 10.1016/j.euroneuro.2017.07.007.
• Aarts, E. et al. (2017). Gut microbiome in ADHD and its relation to neural reward anticipation. PLoS ONE 12(9): e0183509, doi: 10.1371/journal.pone.0183509.
• Mechler, K. et al. (2017). Glutamaterge Substanzen in der Behandlung von Zwanghaftigkeit und Impulsivität in der Kinder- und Jugendpsychiatrie: eine systematische Übersichtsarbeit. Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie (2018), 46, pp. 246-263, doi: 10.1024/1422-4917/a000546.
• Schweren, L.J.S. et al. (2017). Stimulant Treatment Trajectories Are Associated With Neural Reward Processing in Attention-Deficit/Hyperactivity Disorder. J Clin Psychiatry 2017;78(7):e790–e796, doi: 10.4088/JCP.15m10624.
• Visser, J.C. et al. (2017). Variation in the Early Trajectories of Autism Symptoms Is Related to the Development of Language, Cognition, and Behavior Problems. Journal of the American Academy of Child and Adolescent Psychiatry, August 2017, Volume 56, Issue 8, Pages 659–668, doi: 10.1016/j.jaac.2017.05.022.
• Wolfers, T. et al. (2017). Refinement by integration: aggregated effects of multimodal imaging markers on adult ADHD. J Psychiatry Neurosci 2017;42(6):386-394, doi: 10.1503/jpn.16024.
• Naaijen, J. et al. (2017). Fronto-Striatal Glutamate in Autism Spectrum Disorder and Obsessive Compulsive Disorder. Neuropsychopharmacology, Volume 42, pages 2466–2467 (2017), doi: 10.1038/npp.2017.163.
• van der Meer, D. et al. (2017). Predicting attention-deficit/hyperactivity disorder severity from psychosocial stress and stress-response genes: a random forest regression approach. Translational Psychiatry (2017) 7, e1145, doi:10.1038/tp.2017.11.
• van Ewijk, H. et al. (2017). Female‐specific association of NOS1 genotype with white matter microstructure in ADHD patients and controls. Journal of Child Psychology and Psychiatry and Allied Disciplines, Volume 58, Issue 8, August 2017, Pages 958-966, doi: 10.1111/jcpp.12742.
• Bralten, J. et al. (2017). Autism spectrum disorders and autistic traits share genetics and biology. Molecular Psychiatry (2018) 23, 1205–1212, doi: 10.1038/mp.2017.9.
• Hoogman, M. et al. (2017). Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults – Authors' reply. The Lancet Psychiatry, Vol. 4/Issue 6, doi:10.1016/S2215-0366(17)30200-6.
• Forde, N.J. et al. (2017). Healthy cortical development through adolescence and early adulthood. Brain Struct Funct (2017) 222:3653–3663, doi: 10.1007/s00429-017-1424-0.
• Forde, N.J. et al. (2017). No Association between Cortical Gyrification or Intrinsic Curvature and Attention-deficit/Hyperactivity Disorder in Adolescents and Young Adults. Front. Neurosci. 11:218, doi: 10.3389/fnins.2017.00218.
• Sokolova, E. et al. (2017). A Causal and Mediation Analysis of the Comorbidity Between Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD). Journal of Autism and Developmental Disorders (2017) 47: 1595, doi: 10.1007/s10803-017-3083-7.
• van der Meer, D. et al. (2017). Anxiety modulates the relation between attention-deficit/hyperactivity disorder severity and working memory-related brain activity. The World Journal of Biological Psychiatry, doi: 10.1080/15622975.2017.1287952.
• Hoogman, M. et al. (2017). Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis. The Lancet Psychiatry, 2017 Feb 16, pii: S2215-0366(17)30049-4, doi: 10.1016/S2215-0366(17)30049-4.
• Thompson, P.M. et al. (2017). ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide. NeuroImage Volume 145, Part B, 15 January 2017, Pages 389-408, doi: 10.1016/j.neuroimage.2015.11.057.
• Hibar, D.P. et al. (2017). Novel genetic loci associated with hippocampal volume. Nature Communications volume 8, Article number: 13624 (2017), doi: 10.1038/ncomms136.
• van der Meer, D. et al. (2017). Effects of dopaminergic genes, prenatal adversities, and their interaction on attention-deficit/hyperactivity disorder and neural correlates of response inhibition. J Psychiatry Neurosci 2017;42(2):113-121, doi: 10.1503/jpn.150350.
• Naaijen, J. et al. (2017). Glutamatergic and GABAergic gene sets in attention-deficit/hyperactivity disorder: association to overlapping traits in ADHD and autism. Translational Psychiatry (2017) 7, e999, doi: 10.1038/tp.2016.27.
• Journals and magazines referring to the Hoogman et al. paper: CNN, Time, Washington Post, TIME Magazine, The Daily Telegraph, Japan Times, New Zealand Herald, CBC, Voice of America

2016

• Naaijen, J. et al. (2016). Fronto-striatal glutamate in children with Tourette's disorder and attention-deficit/hyperactivity disorder. NeuroImage: Clinical, Volume 13, 2017, Pages 16-23, doi: 10.1016/j.nicl.2016.11.013.
• Schweren, L.J.S. et al. (2016). Age and DRD4 Genotype Moderate Associations Between Stimulant Treatment History and Cortex Structure in Attention-Deficit/Hyperactivity Disorder. Journal of the American Academy of Child and Adolescent Psychiatry, October 2016 Volume 55, Issue 10, Pages 877–885.e3, doi: 10.1016/j.jaac.2016.06.013.
• Forde, N.J. et al. (2016). Basal ganglia structure in Tourette's disorder and/or attention‐deficit/hyperactivity disorder. Movement Disorders, Volume 32, Issue 4, April 2017, Pages 601-604, doi: 10.1002/mds.26849.
• O’Dwyer, L. et al. (2016). Decreased Left Caudate Volume Is Associated with Increased Severity of Autistic-Like Symptoms in a Cohort of ADHD Patients and Their Unaffected Siblings. PLoS ONE 11(11): e0165620, doi: 10.1371/journal.pone.0165620.
• Naaijen, J. et al. (2016). COMPULS: design of a multicenter phenotypic, cognitive, genetic, and magnetic resonance imaging study in children with compulsive syndromes. BMC Psychiatry (2016) 16:361, doi: 10.1186/s12888-016-1072-6.
• Aschrafi, A. et al. (2016). MicroRNA-326 acts as a molecular switch in the regulation of midbrain urocortin 1 expression. J Psychiatry Neurosci 2016;41(5):342-53, doi: 10.1503/jpn.15015.
• Guadalupe, T. et al. (2016). Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex. Brain Imaging and Behavior (2017) 11: 1497, doi: 10.1007/s11682-016-9629-z.
• Marquand, A.F. et al. (2016). Beyond Lumping and Splitting: A Review of Computational Approaches for Stratifying Psychiatric Disorders. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Volume 1, Issue 5, September 2016, Pages 433-447, doi: 10.1016/j.bpsc.2016.04.00.
• van der Meer, D. et al. (2016). The interaction between 5-HTTLPR and stress exposure influences connectivity of the executive control and default mode brain networks. Brain Imaging and Behavior (2017) 11: 1486, doi: 10.1007/s11682-016-9633-3.
• Zayats, T. et al. (2016). Exome chip analyses in adult attention deficit hyperactivity disorder. Transl Psychiatry (2016) 6, e923, doi: 10.1038/tp.2016.196.
• Sokolova, E. et al. (2016). Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. International Journal of Data Science and Analytics, 3: 105, doi: 10.1007/s41060-016-0034-x.
• Sokolova, E. et al. (2016). Statistical evidence that inattention drive hyperactivity/impulsivity in Attention Deficit Hyperactivity Disorder. PLoS ONE 11(10): e0165120, doi:10.1371/journal.pone.0165120.
• Adams, H.H.H. et al. (2016). Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nature Neuroscience Volume 19, Pages 1569–1582 (2016), doi: 10.1038/nn.4398.
• Van de Vondervoort, I. et al. (2016). An integrated molecular landscape implicates the regulation of dendritic spine formation through insulin-related signalling in obsessive–compulsive disorder. Journal of Psychiatry & Neuroscience : JPN. 2016;41(4):280-285. doi:10.1503/jpn.140327.
• Forde, N.J. et al. (2016). TS-EUROTRAIN: A European-Wide Investigation and Training Network on the Etiology and Pathophysiology of Gilles de la Tourette Syndrome. Front. Neurosci.10:384, doi: 10.3389/fnins.2016.00384
• Bralten, J. et al. (2016). Voxel-based morphometry analysis reveals frontal brain differences in participants with ADHD and their unaffected siblings. Journal of Psychiatry & Neuroscience : JPN. 2016;41(4):272-279. doi:10.1503/jpn.140377.
• van der Meer, D. et al. (2016). Interplay between stress response genes associated with attention‐deficit hyperactivity disorder and brain volume. Genes, Brain and Behavior, Volume 15, Issue 7, September 2016, Pages 627-636, doi: 10.1111/gbb.12307.
• Oldehinkel, M. et al. (2016). Attention-Deficit/Hyperactivity Disorder Symptoms Coincide With Altered Striatal Connectivity. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Volume 1, Issue 4, July 2016, Pages 353-363, doi: 10.1016/j.bpsc.2016.03.008.
• Richards, J.S. et al. (2016). Developmentally Sensitive Interaction Effects of Genes and the Social Environment on Total and Subcortical Brain Volumes. PLoS ONE 11(5):e0155755, doi:10.1371/journal.pone.015575.
• Richards, J.S. et al. (2016). Adolescent behavioral and neural reward sensitivity: a test of the differential susceptibility theory. Transl Psychiatry (2016) 6, e771, doi:10.1038/tp.2016.37.
• Richards, J.S. et al. (2016). Testing differential susceptibility: Plasticity genes, the social environment, and their interplay in adolescent response inhibition. The World Journal of Biological Psychiatry, 18:4, 308-321, doi: 10.3109/15622975.2016.1173724.
• Onnink, A.M.H. et al. (2016). Enlarged striatal volume in adults with ADHD carrying the 9-6 haplotype of the dopamine transporter gene DAT1. J Neural Transm (2016) 123:905–915, doi: 10.1007/s00702-016-1521-x.
• Francx, W. et al. (2016). Integrated analysis of gray and white matter alterations in attention-deficit/hyperactivity disorder. NeuroImage: Clinical 11 (2016) 357-367, doi: 10.1016/j.nicl.2016.03.005.
• Häge, A. et al. (2016). Glutamatergic medication in the treatment of obsessive compulsive disorder (OCD) and autism spectrum disorder (ASD) – study protocol for a randomised controlled trial. Trials (2016) 17:141, doi: 10.1186/s13063-016-1266-8.
• Franke, B. et al. (2016). Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nature Neuroscience Volume 19, Pages 420–431 (2016), doi: 10.1038/nn.4228.
• Oldehinkel, M. et al. (2016). Functional connectivity in cortico-subcortical brain networks underlying reward processing in attention-deficit/hyperactivity disorder. NeuroImage: Clinical, Volume 12, February 2016, Pages 796-805, doi: 10.1016/j.nicl.2016.10.006.
• Wolfers, T. et al. (2016). Quantifying patterns of brain activity: Distinguishing unaffected siblings from participants with ADHD and healthy individuals. NeuroImage: Clinical Volume 12, February 2016, Pages 227-233, doi: 10.1016/j.nicl.2016.06.020.
• von Rhein, D. et al. (2016). Aberrant local striatal functional connectivity in attention‐deficit/hyperactivity disorder. Journal of Child Psychology and Psychiatry and Allied Disciplines Vol. 57/Issue 6, doi: 10.1111/jcpp.12529.
• Sokolova, E. et al. (2016). Computing lower and upper bounds on the probability of causal statements. Probabilistic Graphical Models, JMLR: Workshop and Conference Proceedings Vol. 52, 487-498, 2016.

2015

• Fall edition of the TACTICS newsletter
• O'Connor, R.M. et al. (2015). Enhancing glutamatergic transmission during adolescence reverses early-life stress-induced deficits in the rewarding effects of cocaine in rats. Neuropharmacology. 2015 Dec;99:168-76. doi: 10.1016/j.neuropharm.2015.07.012. Epub 2015 Jul 14.
• Francx, W. et al. (2015). The executive control network and symptomatic improvement in attention-deficit/hyperactivity disorder. Cortex Volume 73, December 2015, Pages 62-72, doi: 10.1016/j.cortex.2015.08.012.
• Wolfers, T. et al. (2015). From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics. Neuroscience & Biobehavioral Reviews Volume 57, October 2015, Pages 328-349, doi: 10.1016/j.neubiorev.2015.08.001.
• Persico, A.M. et al. (2015). Unmet needs in paediatric psychopharmacology: Present scenario and future perspectives. European Neuropsychopharmacology, Volume 25, Issue 10, Pages 1513–1531, doi: 10.1016/j.euroneuro.2015.06.009.
• Naaijen, J. et al. (2015). P.1.c.008 In vivo proton magnetic resonance spectroscopy of the fronto-striatal circuit in paediatric autism spectrum disorder and obsessive compulsive disorder. European Neuropsychopharmacology, September 2015, Volume 25, Supplement 2, Page S198, doi: 10.1016/S0924-977X(15)30198-X.
• Faraone, S.V. et al. (2015). Attention-deficit/hyperactivity disorder. Nature Reviews Disease Primers volume 1, Article number: 15020 (2015), doi: 10.1038/nrdp.2015.20.
• Olde Loohuis, N.F.M. et al. (2015). Elevated microRNA-181c and microRNA-30d levels in the enlarged amygdala of the valproic acid rat model of autism. Neurobiology of Disease Volume 80, August 2015, Pages 42-53, doi: 10.1016/j.nbd.2015.05.006.
• Chen, J. et al. (2015). G‐protein genomic association with normal variation in gray matter density. Human Brain Mapping, Vol. 36/Issue 11, doi: 10.1002/hbm.22916.
• Aebi, M. et al. (2015). Gene‐set and multivariate genome‐wide association analysis of oppositional defiant behavior subtypes in attention‐deficit/hyperactivity disorder. American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics 171B:573–588, doi: 10.1002/ajmg.b.32346.
• Naaijen, J. et al. (2015). Fronto-striatal glutamatergic compounds in compulsive and impulsive syndromes: A review of magnetic resonance spectroscopy studies. Neuroscience & Biobehavioral Reviews. Vol. 52, May 2015, Pages 74–88, doi: 10.1016/j.neubiorev.2015.02.009.
• Hibar, D.P. et al. (2015). Common genetic variants influence human subcortical brain structures. Nature 520, 224–229 (09 April 2015), doi:10.1038/nature14101.
• Toma, C. et al. (2015). Common and rare variants of microRNA genes in autism spectrum disorders. The World Journal of Biological Psychiatry, Vol. 16/Issue 6, Pages 376-386, doi:10.3109/15622975.2015.1029518.
• Tax, C.M. et al. (2015). REKINDLE: robust extraction of kurtosis INDices with linear estimation. Magnetic Resonance in Medicine. Vol. 73, Issue 2, pages 794–808, February 2015, doi: 10.1002/mrm.25165.
• Sokolova, E. et al. (2015). Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data. Artificial Intelligence in Medicine. Springer International Publishing, 2015. 177-181.
• Sokolova, E. et al. (2015). Causal Discovery in an Adult ADHD Data Set Suggests Indirect Link Between DAT1 Genetic Variants and Striatal Brain Activation During Reward Processing. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 168B:508–515, DOI 10.1002/ajmg.b.32310.

2014

• Sokolova, E. et al. (2014). Causal Discovery from Databases with Discrete and Continuous Variables. Probabilistic Graphical Models. Lecture Notes in Computer Science Volume 8754, 2014, pp 442-457.
• Sokolova, Elena et al. (2014). Causal discovery from databases with discrete and continuous variables. Probabilistic Graphical Models. Springer International Publishing, 2014. 442-457.
• Joel, D. et al. (2014). Reconceptualizing sex, brain and psychopathology: interaction, interaction, interaction. Br J Pharmacol. 2014 Oct;171(20):4620-35. doi: 10.1111/bph.12732. Epub 2014 Jul 1.
• Li, M. et al. (2014). Allelic differences between Europeans and Chinese for CREB1 SNPs and their implications in gene expression regulation, hippocampal structure and function, and bipolar disorder susceptibility. Mol Psychiatry. Author manuscript; available in PMC 2014 Apr 1.
• Vorstman, J.A.A. et al. (2014). Using genetic findings in autism for the development of new pharmaceutical compounds. Psychopharmacology (2014) 231: 1063, doi: 10.1007/s00213-013-3334-z.
• Kas, M.J. et al. (2014). Assessing behavioural and cognitive domains of autism spectrum disorders in rodents: current status and future perspectives. Psychopharmacology (2014) 231: 1125, doi: 10.1007/s00213-013-3268-5.
• Thompson, P.M. et al. (2014). The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging Behav. 2014; 8(2): 153–182.
• O’Dwyer, L. et al. (2014). Brain Volumetric Correlates of Autism Spectrum Disorder Symptoms in Attention Deficit/Hyperactivity Disorder. PLoS ONE 9(6): e101130. doi:10.1371/journal.pone.0101130.

2013

• van de Vondervoort, I.I.G.M. et al. (2013). Long non-coding RNAs in neurodevelopmental disorders. Front Mol Neurosci. 2013 Dec 30;6:53. doi: 10.3389/fnmol.2013.00053.
• Ramsey, J.M. et al. (2013). Identification of an age-dependent biomarker signature in children and adolescents with autism spectrum disorders. Molecular Autism, 2013 Aug 6;4(1):27, doi: 10.1186/2040-2392-4-27.
• Poelmans, G. et al. (2013). AKAPs integrate genetic findings for autism spectrum disorders. Transl Psychiatry (2013) 3, e270; doi:10.1038/tp.2013.48.
• Bralten, J. et al. (2013). Candidate genetic pathways for attention-deficit/hyperactivity disorder (ADHD) show association to hyperactive/impulsive symptoms in children with ADHD. J Am Acad Child Adolesc Psychiatry. 2013 Nov;52(11):1204-1212.e1. doi: 10.1016/j.jaac.2013.08.020. Epub 2013 Sep 5.

2012

• Bis, J.C. et al. (2012). Common variants at 12q14 and 12q24 are associated with hippocampal volume. Nat Genet. 2012 Apr 15; 44(5): 545–551.
• Stein, J.L. et al. (2012). Identification of common variants associated with human hippocampal and intracranial volumes. Nat Genet. 2012 Apr 15; 44(5): 552–561.