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1. Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD longitudinal mobile health study

2. Sociodemographic, Health and Lifestyle, Sampling, and Mental Health Determinants of 24-Hour Motor Activity Patterns: Observational Study

3. Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries

6. DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features

8. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements

9. Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

10. Genome-wide characterization of circulating metabolic biomarkers

11. Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

12. Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

15. Major depressive disorder

16. Genetic insights into resting heart rate and its role in cardiovascular disease

18. Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

20. Depression, cardiometabolic disease, and their co-occurrence after childhood maltreatment: an individual participant data meta-analysis including over 200,000 participants

21. Design and rationale of the REStoring mood after early life trauma with psychotherapy (RESET-psychotherapy) study: a multicenter randomized controlled trial on the efficacy of adjunctive trauma-focused therapy (TFT) versus treatment as usual (TAU) for adult patients with major depressive disorder (MDD) and childhood trauma

23. Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus

24. A saturated map of common genetic variants associated with human height

26. Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention

29. Educational attainment does not influence brain aging

30. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.

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

32. A Delphi-method-based consensus guideline for definition of treatment-resistant depression for clinical trials

33. Genome-wide analysis of 102,084 migraine cases identifies 123 risk loci and subtype-specific risk alleles

36. Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

37. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

39. Time for united action on depression: a Lancet–World Psychiatric Association Commission

40. Social Dysfunction and Neural Processing of Emotional Valence Across Depressive and Anxiety Disorders.

41. How sustainable is resilience? A mixed-methods study on the COVID-19-pandemic as a challenge to resilience resources of older adults who previously recovered from depression.

42. The aperiodic exponent of neural activity varies with vigilance state in mice and men.

43. Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity

46. Multi-ancestry genome-wide gene–sleep interactions identify novel loci for blood pressure

48. The mediating role of health behaviors in the association between depression, anxiety and cancer incidence: an individual participant data meta-analysis

49. Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort

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