Authors

 

TitleReferenceDate
Chan et al. Deactivation in anterior cingulate cortex during facial processing in young individuals with high familial risk and early development of depression: fMRI findings from the Scottish Bipolar Family Study J Child Psychol Psychiatry; 10.1111/jcpp.12591 in press
Papmeyer et al. Neurocognition in individuals at high familial risk of mood disorders with or without subsequent onset of depression Psychol Med; 10.1017/S0033291715001324 2015
Guadalupe et al. Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex 10.1007/s11682-016-9629-z in press
Stacey et al. A translational systems biology approach in both animals
and humans identifies a functionally related module of
accumbal genes involved in the regulation of reward
processing and binge drinking in males
J Psychiatry Neurosci; 10.1503/jpn.150138 2016
Ewald et al. The role of the cannabinoid receptor in adolescents′ processing of facial expressions doi: 10.1111/ejn.13118 2016
van der Meer et al. Interplay between stress response genes associated with attention-deficit hyperactivity disorder and brain volume Genes Brain Behav; 10.1111/gbb.12307  2016
van der Meer et al. The interaction between 5-HTTLPR and stress exposure influences connectivity of the executive control and defualt mode brain network Brain Imaging Behav; 10.1007/s11682-016-9633-3 e-pub ahead of print
Klein et al. Converging evidence does not support GIT1 as an ADHD risk gene AM J Med Genet B Neuropsych; 10.1002/ajmg.b.32327 2015
Adams et al. Novel genetic loci underlying human intracranial volume identified through genome-wide association Nature Neuroscience; 10.1038/nn.4398 e-pub ahead of print
Hibar et al. Subcortical volumetric abnormalities in bipolar disorder Molecular Psychiatry; 10.1038/mp.2015.227 2016
Johannessen et al. Parents’ attitudes toward genetic research in autism spectrum disorder Psychiatric Genetics; 10.1097/YPG.0000000000000121 2016
Walker DNA methylation in a Scottish family multiply affected by bipolar disorder and major depressive disorder Clinical Epigenetics; 10.1186/s13148-016-0171-z 2016
Nickson et al. Prospective longitudinal voxel-based morphometry study of Major Depressive Disorder in young individuals at high familial risk Psychological Medicine; 10.1017/S0033291716000519 2016
Papmeyer et al. Prospective Longitudinal Study of Subcortical Brain Volumes in Individuals at High Familial Risk of Mood Disorders with or without Subsequent Onset of Psychiatry Research; 10.1016/j.pscychresns.2015.12.009 2016
Spalek et al. A common NTRK2 variant is associated with emotional arousal and brain white-matter integrity in healthy young subjects Translational Psychiatry;  doi:10.1038/tp.2016.20 2016
Franke et al. Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept Nature Neuroscience; 10.1038/nn.4228 2016
Onnink et al.

Enlarged striatal volume in adults with ADHD carrying the 9-6 haplotype of the dopamine transporter gene DAT1

Journal of Neural Transmission; 10.1007/s00702-016-1521-x 2016
Schweren et al. Stimulant treatment history predicts frontal-striatal structural connectivity in adolescents with attention-deficit/hyperactivity disorder European Neuropsychopharmacology; 10.1016/j.pnpbp.2016.01.011 2016
Mostert et al. Characterising resting-state functional connectivity in a large sample of adults with ADHD Progress in Neuro-Psychopharmacology and Biological Psychiatry; 10.1016/j.pnpbp.2016.01.011 2016
Francx et al. Integrated analysis of gray and white matter alterations in attention-deficit/hyperactivity disorder NeuroImage: Clinical; 10.1016/j.nicl.2016.03.005 2016
Ewald et al. The role of the cannabinoid receptor in adolescents′ processing of facial expressions European Journal of Neuroscience; doi: 10.1111/jcpp.12552. [Epub ahead of print] 2016
Jia et al. Neural basis of reward anticipation and its genetic determinants Proceedings of the National Academy of Sciences of the United States; 10.1073/pnas.1503252113 2016
Desriviéres et al. Single nucleotide polymorphism in the neuroplastin locus associates with cortical thickness and intellectual ability in adolescents Mol Psychiatry. 2015 Feb;20(2):263-74. doi: 10.1038/mp.2013.197. Epub 2014 Feb 11 2014
Castellanos-Ryan et al. Neural and cognitive correlates of the common and specific variance across externalizing problems in young adolescence Am J Psychiatry. 2014 Dec 1;171(12):1310-9. doi: 10.1176/appi.ajp.2014.13111499. Epub 2014 Oct 31 2014

Papmeyer et al.

Cortical Thickness in Individuals at High Familial Risk of Mood Disorders as They Develop Major Depressive Disorder Biol Psychiatry. 2014 Oct 30. pii: S0006-3223(14)00802-6. doi: 10.1016/j.biopsych.2014.10.018. [Epub ahead of print] 2014
Loth et al. Oxytocin Receptor Genotype Modulates Ventral Striatal Activity to Social Cues and Response to Stressful Life Events Biol Psychiatry. 2014 Sep 1;76(5):367-76. doi: 10.1016/j.biopsych.2013.07.043. Epub 2013 Oct 8 2014
Stringaris et al. Dimensions of manic symptoms in youth: psychosocial impairment and cognitive performance in the IMAGEN sample J Child Psychol Psychiatry. 2014 Dec;55(12):1380-9. doi: 10.1111/jcpp.12255. Epub 2014 May 28 2014
Nymberg et al. DRD2/ANKK1 Polymorphism Modulates the Effect of Ventral Striatal Activation on Working Memory Performance Neuropsychopharmacology. 2014 Sep;39(10):2357-65. doi: 10.1038/npp.2014.83. Epub 2014 Apr 9 2014
Easton et al. αCaMKII controls the establishment of cocaine’s reinforcing effects in mice and humans Transl Psychiatry. 2014 Oct 7;4:e457. doi: 10.1038/tp.2014.97 2014
Müller et al. No differences in ventral striatum responsivity between adolescents with a positive family history of alcoholism and controls Addict Biol. 2015 May;20(3):534-45. doi: 10.1111/adb.12136. Epub 2014 Jun 5 2014
Whelan et al. Neuropsychosocial profiles of current and future adolescent alcohol misusers Nature. 2014 Aug 14;512(7513):185-9. doi: 10.1038/nature13402. Epub 2014 Jul 2 2014
Hibar DP et al. Common genetic variants influence human subcortical brain structures Nature. 2015 Jan 21. doi: 10.1038/nature14101. [Epub ahead of print] 2015
Kaufmann et al.
Disintegration of Sensorimotor Brain Networks in Schizophrenia Schizophr Bull. 2015 May 4. pii: sbv060. [Epub ahead of print] 2015
Wolfers et al. Lower white matter microstructure in the superior longitudinal fasciculus is associated with increased response time variability in adults with attention- deficit / hyperactivity disorder  J. Psychiatry Neurosci. 40, 1–8. doi:10.1503/jpn.140154 2015
Ruggeri et al. Association of Protein Phosphatase PPM1G With Alcohol Use Disorder and Brain Activity During Behavioral Control in a Genome-Wide Methylation Analysis Am J Psychiatry. 2015 Jun;172(6):543-52. doi: 10.1176/appi.ajp.2014.14030382. Epub 2015 May 18 2015
Ortuño‑Sierra et al. New evidence of factor structure and measurement invariance of the SDQ across five European nations Eur Child Adolesc Psychiatry. 2015 Jun 3. [Epub ahead of print] 2015
Fritsch et al. Robust regression for large-scale neuroimaging studies Neuroimage. 2015 May 1;111:431-41. doi: 10.1016/j.neuroimage.2015.02.048. Epub 2015 Feb 28 2015
Richiardi et al. Correlated gene expression supports synchronous activity in brain networks Science. 2015 Jun 12;348(6240):1241-4. doi: 10.1126/science.1255905. Epub 2015 Jun 11 2015
Galinowski et al. Resilience and corpus callosum microstructure in adolescence Psychol Med. 2015 Aug;45(11):2285-94. doi: 10.1017/S0033291715000239. Epub 2015 Mar 30 2015
Stringaris et al. The Brain’s Response to Reward Anticipation and Depression in Adolescence: Dimensionality, Specificity, and Longitudinal Predictions in a Community-Based Sample Am J Psychiatry. 2015 Jun 18:appiajp201514101298. [Epub ahead of print] 2015
Wolfers, et al. From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics Neurosci Biobehav Rev. 2015 Aug 4. pii: S0149-7634(15)00201-8. doi: 10.1016/j.neubiorev.2015.08.001. [Epub ahead of print] 2015
Brandt et al. Assessing brain structural associations with working-memory related brain pattern in schizophrenia and healthy controls using linked independent component analysis NeuroIMAGE: Clinical (2015), http://dx.dio.org/10.1016/j.nicl.2015.08.010 2015
Frangou et al.

Identifying multimodal signatures associated with symptom clusters: the example of the IMAGEMEND project

 

World Psychiatry. 2016 Jun;15(2):179-80. doi: 10.1002/wps.20334.  2016
Luksys et al. Computational dissection of human episodic memory
reveals mental process-specific genetic profiles
Proc Natl Acad Sci U S A. 2015 Sep 1;112(35):E4939-48. doi: 10.1073/pnas.1500860112. Epub 2015 Aug 10. 2015
van Erp et al. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium Mol Psychiatry. 2015 Jun 2. doi: 10.1038/mp.2015.63. [Epub ahead of print] 2015
Mostert et al. Cognitive heterogeneity in adult attention deficit/hyperactivity disorder: A systematic
analysis of neuropsychological measurements
Eur Neuropsychopharmacol. 2015 Aug 21. pii: S0924-977X(15)00263-1. doi: 10.1016/j.euroneuro.2015.08.010. [Epub ahead of print] 2015
Faraone et al. Attention Deficit Hyperactivity Disorder Nature Reviews Disease Primers Article number: 15020 (2015)
doi:10.1038/nrdp.2015.20
 2015
Mostert et al. Similar Subgroups Based on Cognitive Performance Parse Heterogeneity in Adults With ADHD and Healthy Controls J Atten Disord. 2015 Sep 14. pii: 1087054715602332. [Epub ahead of print] 2015
Onnink et al. Deviant white matter structure in adults with attention-deficit/hyperactivity disorder points to aberrant myelination
and affects neuropsychological performance
Prog Neuropsychopharmacol Biol Psychiatry. 2015 Dec 3;63:14-22. doi: 10.1016/j.pnpbp.2015.04.008. Epub 2015 May 5. 2015
Noirhomme et al.

"Look at my classifier's result": Disentangling unresponsive from (minimally) conscious patients.

 Neuroimage. 2015 Dec 12. pii: S1053-8119(15)01119-2. doi: 10.1016/j.neuroimage.2015.12.006. [Epub ahead of print]  2015