Functional MRI (fMRI) can characterize the effects of drugs on brain activity. Here, Duff et al. describe an fMRI-based assessment protocol that incorporates machine-learning methods and data from multiple published studies to identify associations between drug efficacy and drug-related changes in brain activity that could be used to assess new data. The authors present proof-of-concept implementation of the protocol using eight clinical fMRI data sets from studies of six different analgesic drugs, identifying signatures of responses to pain and drug modulations.
References
Duff, E. et al. Learning to identify CNS drug action and efficacy using multistudy fMRI data. Sci. Transl. Med. 7, 274ra16 (2015)
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Crunkhorn, S. Predicting clinical efficacy. Nat Rev Drug Discov 14, 238 (2015). https://doi.org/10.1038/nrd4604
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DOI: https://doi.org/10.1038/nrd4604