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2. Genetic variants associated with longitudinal changes in brain structure across the lifespan

3. Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs

5. 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans

6. 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans

8. Subcortical Volume Trajectories across the Lifespan: Data from 18,605 healthy individuals aged 3-90 years

9. Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

10. The genetic architecture of the human cerebral cortex

11. A fast method to derive realistic BEM models for E/MEG source reconstruction

13. Genetic architecture of subcortical brain structures in 38,854 individuals worldwide

14. Genetic architecture of subcortical brain structures in 38,851 individuals

16. Genetic architecture of subcortical brain structures in 38,851 individuals

17. Correction: Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

19. Erratum: Publisher Correction: Associations between subjective well-being and subcortical brain volumes (Scientific reports (2017) 7 1 (6957))

21. Erratum to: Associations between subjective well-being and subcortical brain volumes (Scientific Reports, (2017), 7, 1, (6957), 10.1038/s41598-017-07120-z)

22. Novel genetic loci associated with hippocampal volume

23. Novel genetic loci associated with hippocampal volume

25. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

27. Common genetic variants influence human subcortical brain structures

32. Resting-state cognition is associated with executive network activation

34. Heritability of resting state networks from MEG

38. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

39. The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data

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