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Neuroimage|February 22, 2020
A comparison of fMRI and behavioral models for predicting inter-temporal choicesFelix G Knorr, Philipp T Neukam, Juliane H Fröhner, et al.Human Brain Mapping|December 27, 2018
Acute tryptophan loading decreases functional connectivity between the default mode network and emotion-related brain regionsYacila I Deza-Araujo, Philipp T Neukam, Michael Marxen, et al.Journal of Psychopharmacology (Oxford, England)|September 25, 2019
No evidence for the involvement of serotonin or the 5-HTTLPR genotype in intertemporal choice in a larger community samplePhilipp T Neukam, Yacila I Deza-Araujo, Michael Marxen, et al.Scientific Reports|May 11, 2023
Shorter planning depth and higher response noise during sequential decision-making in old ageJohannes Steffen, Dimitrije Marković, Franka Glöckner, et al.Cognitive, Affective & Behavioral Neuroscience|April 5, 2018
Risk seeking for losses modulates the functional connectivity of the default mode and left frontoparietal networks in young malesYacila I Deza Araujo, Stephan Nebe, Philipp T Neukam, et al.Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|August 5, 2026
How value and control shape motivation: Dissociable mesocorticolimbic circuits and vmPFC dysfunction in depressionNatalie Hackman, Philipp T Neukam, Jacqueline Beltrán, et al.International Journal of Molecular Sciences|June 27, 2024
Connection Failure: Differences in White Matter Microstructure Are Associated with 5-HTTLPR but Not with Risk Seeking for LossesPhilipp T Neukam, Dirk K Müller, Yacila I Deza-Lougovski, et al.Journal of Psychopharmacology (Oxford, England)|December 28, 2023
Arbitration between model-free and model-based control is not affected by transient changes in tonic serotonin levelsMaximilian D Gilger, Lydia Hellrung, Philipp T Neukam, et al.Psychopharmacology|May 7, 2018
Risk-seeking for losses is associated with 5-HTTLPR, but not with transient changes in 5-HT levelsPhilipp T Neukam, Nils B Kroemer, Yacila I Deza Araujo, et al.Translational Psychiatry|May 12, 2026
Structural imaging predictors of ketamine response in treatment-resistant depression: a machine learning approachLinda Bryant, Laith Alexander, Sergio Mena, et al.Pageof 2