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1. Subcortical volumetric abnormalities in bipolar disorder.

2. Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation

5. Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years

6. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

7. Greater male than female variability in regional brain structure across the lifespan

8. In vivo hippocampal subfield volumes in bipolar disorder—A mega-analysis from The Enhancing Neuro Imaging Genetics through Meta-Analysis Bipolar Disorder Working Group

9. What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from theENIGMABipolar Disorder Working Group

10. Greater male than female variability in regional brain structure across the lifespan

11. In vivo hippocampal subfield volumes in bipolar disorder-A mega-analysis from The Enhancing Neuro Imaging Genetics throughMeta-AnalysisBipolar Disorder Working Group

12. Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years

13. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

14. In vivo hippocampal subfield volumes in bipolar disorder-A mega-analysis from The Enhancing Neuro Imaging Genetics through Meta-Analysis Bipolar Disorder Working Group

15. What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group

17. Effects of Thyroid Status on Regional Brain Volumes: A Diagnostic and Genetic Imaging Study in UK Biobank

18. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

19. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years

20. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

23. Correction: Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals (Neuropsychopharmacology, (2019), 44, 13, (2285-2293), 10.1038/s41386-019-0485-6)

26. Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

27. Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3–90 years

28. What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group

29. What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group

30. The genetic architecture of the human cerebral cortex

31. The genetic architecture of the human cerebral cortex

35. The Association between familial risk and brain abnormalities Is disease specific: an ENIGMA-relatives study of schizophrenia and bipolar disorder

37. The Association Between Familial Risk and Brain Abnormalities Is Disease Specific: An ENIGMA-Relatives Study of Schizophrenia and Bipolar Disorder

38. Correction: Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals (Neuropsychopharmacology, (2019), 44, 13, (2285-2293), 10.1038/s41386-019-0485-6)

39. Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

42. Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

43. Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group

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

45. Subcortical volumetric abnormalities in bipolar disorder

46. Subcortical volumetric abnormalities in bipolar disorder

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

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

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