Systematic misestimation of machine learning performance in neuroimaging studies of depression

Claas Flint, Micah Cearns, Nils Opel, +15

Neuropsychopharmacology

Association of polygenic score for major depression with response to lithium in patients with bipolar disorder

Azmeraw T. Amare, Klaus Oliver Schubert, Liping Hou, +305

Molecular Psychiatry

PsychopathologyPolygenic ScorePsychiatryMood SymptomMajor Depression +9

Genetic comorbidity between major depression and cardio‐metabolic traits, stratified by age at onset of major depression

Saskia P. Hagenaars, Jonathan R. I. Coleman, Shing Wan Choi, +45

American Journal of Medical Genetics Part B Neuropsychiatric Genetics

Large-scale evidence for an association between low-grade peripheral inflammation and brain structural alterations in major depression in the BiDirect study

Nils Opel, Micah Cearns, Scott R. Clark, +9

Journal of Psychiatry and Neuroscience

Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach

Micah Cearns, Nils Opel, Scott R. Clark, +9

Translational Psychiatry

Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach

Micah Cearns, Azmeraw T. Amare, Klaus Oliver Schubert, +114

The British Journal of Psychiatry

HLA-DRB1 and HLA-DQB1 genetic diversity modulates response to lithium in bipolar affective disorders

Sigrid Le Clerc, Laura Lombardi, Bernhard T. Baune, +120

Scientific Reports

Suppressed activity of the rostral anterior cingulate cortex as a biomarker for depression remission

Christopher G. Davey, Micah Cearns, Alec J. Jamieson, +1

Psychological Medicine

From multivariate methods to an AI ecosystem

Nils R. Winter, Micah Cearns, Scott R. Clark, +4

Molecular Psychiatry

Artificial IntelligenceEngineeringMachine LearningMultivariate MethodsAi Integration +4

Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning

Rigas Filippos Soldatos, Micah Cearns, Mette Ødegaard Nielsen, +29

Schizophrenia Bulletin