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Behavioral Neurobiology of Chronic Pain

Overview of attention for book
Attention for Chapter 330: Preclinical Assessment of Pain: Improving Models in Discovery Research.
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27 Mendeley
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Chapter title
Preclinical Assessment of Pain: Improving Models in Discovery Research.
Chapter number 330
Book title
Behavioral Neurobiology of Chronic Pain
Published in
Current topics in behavioral neurosciences, July 2014
DOI 10.1007/7854_2014_330
Pubmed ID
Book ISBNs
978-3-66-245093-2, 978-3-66-245094-9

Tamara King, Frank Porreca


Bradley K. Taylor, David P. Finn


To date, animal models have not sufficiently "filtered" targets for new analgesics, increasing the failure rate and cost of drug development. Preclinical assessment of "pain" has historically relied on measures of evoked behavioral responses to sensory stimuli in animals. Such measures can often be observed in decerebrated animals and therefore may not sufficiently capture affective and motivational aspects of pain, potentially diminishing translation from preclinical studies to the clinical setting. Further, evidence indicates that there are important mechanistic differences between evoked behavioral responses of hypersensitivity and ongoing pain, limiting evaluation of mechanisms that could mediate aspects of clinically relevant pain. The mechanisms underlying ongoing pain in preclinical models are currently being explored and may serve to inform decisions towards the transition from drug discovery to drug development for a given target.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 15%
Student > Ph. D. Student 4 15%
Other 3 11%
Researcher 3 11%
Student > Bachelor 2 7%
Other 4 15%
Unknown 7 26%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 5 19%
Neuroscience 5 19%
Medicine and Dentistry 3 11%
Agricultural and Biological Sciences 2 7%
Decision Sciences 1 4%
Other 3 11%
Unknown 8 30%