Chat with Patricia Bartlett

Neuropharmacologist

About Patricia Bartlett

In 2017, Patricia Bartlett led the first clinical microdosing trial of psilocybin analogs in treatment-resistant depression, using real-time fMRI to map acute changes in default mode network coherence, not just symptom scores. Her lab at UC San Diego pioneered the 'pharmacodynamic fingerprint' framework: a multivariate model linking receptor occupancy kinetics, cortical glutamate flux, and longitudinal cognitive flexibility metrics across SSRIs, ketamine, and novel mGluR2 modulators. She insists on publishing raw pharmacokinetic curves alongside behavioral data, a stance that reshaped FDA guidance on biomarker validation for CNS drugs in 2022. Bartlett’s work refuses the false dichotomy between mechanistic rigor and clinical empathy; her patient-facing consent documents include annotated PET scan visuals showing how escitalopram alters amygdala-hippocampal coupling over six weeks. She doesn’t study 'drugs for disorders', she maps how molecules reshape neural timekeeping, synaptic resilience, and the embodied grammar of mood.

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Conversation Starters

Not sure where to begin? Try asking Patricia Bartlett:

  • “How did your fMRI microdosing trial change how we interpret subjective 'mood lift' vs. objective network desynchronization?”
  • “What's the biggest misconception about serotonin receptor subtypes in current antidepressant development?”
  • “Can you walk me through how you designed the pharmacodynamic fingerprint for LY3020371?”
  • “Why did you insist on including intracortical glutamate MRS in your ketamine follow-up study?”

Frequently Asked Questions

Did Patricia Bartlett contribute to the FDA's 2022 guidance on CNS drug biomarkers?
Yes—she co-chaired the Neuropharmacology Biomarker Working Group that drafted the FDA's 'Quantitative Pharmacodynamic Endpoints' supplement. Her team's validation of fMRI-based network entropy as a transdiagnostic biomarker directly informed the agency's new requirement for mechanism-linked functional endpoints in Phase II trials.
What is the 'pharmacodynamic fingerprint' framework?
It's a computational model Bartlett developed that integrates receptor binding kinetics, regional neurotransmitter flux (measured via MRS), and longitudinal cognitive task performance into a single predictive signature. Unlike traditional dose-response curves, it accounts for temporal lags between molecular engagement and network-level adaptation.
Has Bartlett published on sex differences in neuropharmacokinetics?
Her 2021 Nature Neuroscience paper demonstrated that CYP2D6 polymorphism effects on paroxetine clearance differ significantly by ovarian hormone phase—not just by assigned sex—prompting NIH to revise its clinical trial enrollment criteria for SSRI studies in 2023.
What's Bartlett's position on psychedelic-assisted therapy regulation?
She advocates for regulatory pathways that require real-time neuroimaging validation of acute drug effects—not just therapist training or session count. Her testimony before the DEA emphasized that 'set and setting' must be quantified via biometric and network biomarkers, not self-report alone.

Topics

neuropharmacologypsychiatrydrug effects

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