Systematic misestimation of machine learning performance in neuroimaging studies of depression

Sample Size, Model Robustness, and Classification Accuracy in Diagnostic Multivariate Neuroimaging Analyses

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The Marburg-Münster Affective Disorders Cohort Study (MACS): A quality assurance protocol for MR neuroimaging data

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Neurobiology of the major psychoses: a translational perspective on brain structure and function—the FOR2107 consortium

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Cross-validation failure: Small sample sizes lead to large error bars

(2017) Gaël Varoquaux   NEUROIMAGE

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines

(2017) Gaël Varoquaux et al.   NEUROIMAGE

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

(2017) Mohammad R. Arbabshirani et al.   NEUROIMAGE

Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case-Control Studies

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Machine Learning and the Profession of Medicine

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Predictive analytics in mental health: applications, guidelines, challenges and perspectives

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Tech giants enter mental health

(2016) Harris A. Eyre et al.   World Psychiatry

Detecting Neuroimaging Biomarkers for Psychiatric Disorders: Sample Size Matters

(2016) Hugo G. Schnack et al.   Frontiers in Psychiatry

Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction

(2015) Meenal J. Patel et al.   INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY

Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy

(2015) Etienne Combrisson et al.   JOURNAL OF NEUROSCIENCE METHODS

Prediction as a Humanitarian and Pragmatic Contribution from Human Cognitive Neuroscience

(2015) John D.E. Gabrieli et al.   NEURON

NCAN Cross-Disorder Risk Variant Is Associated With Limbic Gray Matter Deficits in Healthy Subjects and Major Depression

(2015) Udo Dannlowski et al.   NEUROPSYCHOPHARMACOLOGY

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints

(2015) Tjeerd van der Ploeg et al.   BMC Medical Research Methodology

Multimodal imaging of a tescalcin (TESC)-regulating polymorphism (rs7294919)-specific effects on hippocampal gray matter structure

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Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder

(2012) Benson Mwangi et al.   BRAIN