Stephan, Klaas E.

Multi-subject analyses with dynamic causal modeling

Kasess, C. H., Stephan, K. E., Weissenbacher, A., Pezawas, L., Moser, E., & Windischberger, C. (2010) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 70

Charting the landscape of priority problems in psychiatry, part 2: pathogenesis and aetiology

Stephan, K. E., Binder, E. B., Breakspear, M., Dayan, P., Johnstone, E. C., Meyer-Lindenberg, A., Schnyder, U., Wang, X.-J., Bach, D. R., Fletcher, P. C., et al. (2016) · The Lancet Psychiatry

Mental Health and PsychiatryPsychology and Mental Health

Cited by 64

Modulation of midbrain neurocircuitry by intranasal insulin

Edwin Thanarajah, S., Iglesias, S., Kuzmanovic, B., Rigoux, L., Stephan, K. E., Brüning, J. C., & Tittgemeyer, M. (2019) · NeuroImage

Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology Studies

Cited by 55

Neuroticism and conscientiousness respectively constrain and facilitate short‐term plasticity within the working memory neural network

Dima, D., Friston, K. J., Stephan, K. E., & Frangou, S. (2015) · Human Brain Mapping

Functional Brain Connectivity StudiesNeural and Behavioral Psychology Studies

Cited by 50

Model-based feature construction for multivariate decoding

Brodersen, K. H., Haiss, F., Ong, C. S., Jung, F., Tittgemeyer, M., Buhmann, J. M., Weber, B., & Stephan, K. E. (2011) · NeuroImage

Functional Brain Connectivity StudiesNeural dynamics and brain function

Cited by 36

The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse

Berwian, I. M., Wenzel, J. G., Kuehn, L., Schnuerer, I., Kasper, L., Veer, I. M., Seifritz, E., Stephan, K. E., Walter, H., & Huys, Q. J. M. (2020) · Scientific Reports

Functional Brain Connectivity StudiesTreatment of Major Depression

Cited by 29

Feature-specific prediction errors for visual mismatch

Stefanics, G., Stephan, K. E., & Heinzle, J. (2019) · NeuroImage

Face Recognition and PerceptionVisual perception and processing mechanisms

Cited by 26

Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses

Schöbi, D., Homberg, F., Frässle, S., Endepols, H., Moran, R. J., Friston, K. J., Tittgemeyer, M., Heinzle, J., & Stephan, K. E. (2021) · NeuroImage

Neural dynamics and brain functionNeuroscience and Neuropharmacology Research

Cited by 25

Surprise beyond prediction error

Chumbley, J. R., Burke, C. J., Stephan, K. E., Friston, K. J., Tobler, P. N., & Fehr, E. (2014) · Human Brain Mapping

Neural and Behavioral Psychology StudiesMemory and Neural Mechanisms

Cited by 23

Amygdala Reactivity, Antidepressant Discontinuation, and Relapse

Erdmann, T., Berwian, I. M., Stephan, K. E., Seifritz, E., Walter, H., & Huys, Q. J. M. (2024) · JAMA Psychiatry

Treatment of Major DepressionAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 18

Low predictive power of clinical features for relapse prediction after antidepressant discontinuation in a naturalistic setting.

Berwian, I. M., Wenzel, J. G., Kuehn, L., Schnuerer, I., Seifritz, E., Stephan, K. E., Walter, H., & Huys, Q. J. M. (2022) · Scientific Reports

Treatment of Major DepressionMental Health Treatment and Access

Cited by 13

Bayesian Workflow for Generative Modeling in Computational Psychiatry

Hess, A. J., Iglesias, S., Köchli, L., Marino, S., Müller-Schrader, M., Rigoux, L., Mathys, C., Harrison, O. K., Heinzle, J., Frässle, S., et al. (2025) · Computational Psychiatry

Statistical Methods and Bayesian InferenceBayesian Modeling and Causal Inference

Cited by 10

A dynamic Bayesian model of homeostatic control

Penny, W., & Stephan, K. (2014) · Lecture Notes in Computer Science

Memory and Neural MechanismsAI-based Problem Solving and Planning

Cited by 10

Emotion-induced frontal α asymmetry predicts relapse after discontinuation of antidepressant medication

Berwian, I. M., Tröndle, M., Miquel, C. D., Ziogas, A., Stefanics, G., Walter, H., Stephan, K. E., & Huys, Q. J. M. (2023) · bioRxiv (Cold Spring Harbor Laboratory)

Treatment of Major DepressionNeural and Behavioral Psychology Studies

Cited by 2

An observational treatment study of metacognition in anxious-depression

Fox, C. A., Lee, C. T., Hanlon, A., Seow, T. X. F., Lynch, K., Harty, S., Richards, D., Palacios, J., O'Keane, V., Stephan, K. E., et al. (2023)

Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesDigital Mental Health Interventions

Cited by 2

An observational treatment study of metacognition in anxious-depression

Fox, C. A., Lee, C. T., Hanlon, A. K., Seow, T. X., Lynch, K., Harty, S., Richards, D., Palacios, J., O'Keane, V., Stephan, K. E., et al. (2023) · eLife

Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesDigital Mental Health Interventions

Cited by 1

Metacognition in anxious-depression is state-dependent: an observational treatment study

Fox, C. A., Lee, C. T., Hanlon, A. K., Seow, T. X., Lynch, K., Harty, S., Richards, D., Palacios, J., O’Keane, V., Stephan, K. E., et al. (2023) · eLife

Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesPsychological Treatments and Assessments

Cited by 1

The generalized Hierarchical Gaussian Filter

Weber, L. A., Waade, P. T., Legrand, N., Møller, A. H., Stephan, K. E., & Mathys, C. (2026) · eLife

Embodied and Extended CognitionGaussian Processes and Bayesian Inference

Cited by 0

The generalized Hierarchical Gaussian Filter

Weber, L. A., Waade, P. T., Legrand, N., Møller, A. H., Stephan, K. E., & Mathys, C. (2026) · eLife

Embodied and Extended CognitionGaussian Processes and Bayesian Inference

Cited by 0