Ulrich Schmidt
Neuropsychopharmacologist
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Papers
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Research Footprint
Ulrich Schmidt appears in 8 tracked papers (2012–2018), most studied alongside Psilocybin, LSD and MDMA, across Neuroimaging & Brain Measures, Healthy Volunteers and Depressive Disorders.
Most-cited paper: Psilocybin biases facial recognition, goal-directed behavior, and mood state toward positive relative to negative emotions through different serotonergic subreceptors (296 citations).
Frequent co-authors: André Schmidt, Patrick Dolder and Erich Seifritz.
Background & Research
Dr. Schmidt is a neuropsychopharmacologist whose experimental medicine work investigates the acute behavioural and neural effects of classical psychedelics (notably LSD and psilocybin) and stimulant compounds (including MDMA, methylphenidate and modafinil). Using placebo-controlled, within-subject challenge designs in healthy volunteers and clinical cohorts, Schmidt combines task-based and resting-state fMRI with cognitive and affective paradigms to probe mechanisms by which serotonergic modulation alters perception, emotion bias and cognitive control.
Key contributions include studies characterising LSD-induced changes in thalamic resting-state connectivity and altered hub connectivity associated with phenomenological effects; work on LSD-related modulation of response-inhibition networks; investigations of serotonergic subreceptor-dependent shifts in emotional bias after psilocybin; and comparative acute pharmacology studies examining how methylphenidate, modafinil and MDMA influence negative emotion processing. Methodologically, Schmidt's research emphasises multimodal neuroimaging, psychopharmacological challenge methodology and mechanistic models linking receptor-level pharmacology to network-level brain dynamics with relevance for affective and perceptual disorders.
Key Impact
Notable for experimental medicine studies elucidating how classic psychedelics and stimulant compounds acutely alter emotion processing, response inhibition and large-scale brain network connectivity.
Collaboration Network
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