Simulated and Primate fMRI Data for Pharmacodynamic Imaging Method

2020 research data from Kevin J. Black presents simulated and preliminary fMRI data for testing a novel rapid quantitative pharmacodynamic imaging method. The dataset supports the development of techniques to estimate quantitative drug sensitivity parameters like EC50 from imaging time-series. It includes results from simulation testing and proof-of-principle fMRI studies in primates using a dopamine agonist.

Use Cases

• Validate pharmacokinetic-pharmacodynamic modeling algorithms using simulated time-signal curves with known EC50 parameters.
• Test the robustness of EC50 estimation methods against simulated artifactual baseline signal drift and random error.
• Analyze regional fMRI time-signal curves from primate brain studies to assess observed drug effects versus noise levels.
• Benchmark dose-response curve fitting procedures for pharmacological challenge imaging data.

Strengths

• Data is associated with a peer-reviewed methodological publication describing a novel quantitative imaging technique.
• Includes both controlled simulated data and preliminary experimental fMRI data from primate studies.
• Released under a permissive CC0 1.0 public domain license, facilitating unrestricted reuse.

Limitations

• The dataset scope is limited to proof-of-concept simulations and preliminary primate studies, not large-scale human clinical trials.
• Specific structural details like row count, column names, and file formats are not provided in the metadata.
• The experimental fMRI data is preliminary, with quantitative EC50 obtainable only from some regional time-signal curves.

Provenance

Source

Dryad digital repository.

Collection Method

Generated from simulation testing and preliminary fMRI studies of primate brain using a dopamine agonist, as described in the associated research publication.

Freshness

Last updated in June 2020.