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Updated: Mar 9, 2026

A Preclinical Model to Assess Brain Recovery After Acute Stroke in Rats
Published on: November 6, 2019
Lickometry: A novel and sensitive method for assessing functional deficits in rats after stroke.
Jewel Ahmed1, Dominic M Dwyer2, Tracy D Farr1
11 School of Life Sciences, University of Nottingham, UK.
Lickometry, a novel assessment method, precisely measures long-term sensorimotor deficits after stroke in rats. This easy-to-administer technique reveals subtle oral impairments, aiding pre-clinical stroke research.
Area of Science:
- Neuroscience
- Pre-clinical Research
- Stroke Models
Background:
- Assessing long-term functional deficits post-stroke is critical for research.
- Current methods may lack sensitivity or ease of administration.
- Pre-clinical models require reliable tools to evaluate sensorimotor impairments.
Purpose of the Study:
- To introduce and validate lickometry (lick microstructure analysis) as a sensitive assessment tool.
- To evaluate sensorimotor deficits up to 40 days post-middle cerebral artery occlusion (MCAO) in rats.
- To determine the utility of lickometry in detecting subtle, long-term functional impairments.
Main Methods:
- Utilized lickometry to analyze drinking behavior in rats following induced middle cerebral artery occlusion.
- Compared lick microstructure parameters between stroke-affected rats and control groups.
- Monitored deficits over a 40-day period.
Main Results:
- Lickometry detected significant impairments in drinking efficiency in rats post-MCAO compared to controls.
- A compensatory increase in the number of drinking clusters was observed.
- The method demonstrated sensitivity to long-term sensorimotor deficits.
Conclusions:
- Lickometry is a precise and easy-to-administer method for assessing long-term sensorimotor deficits in pre-clinical stroke research.
- This technique can identify subtle oral functional impairments relevant to human stroke patients.
- Lickometry offers a valuable tool for evaluating therapeutic interventions in stroke models.
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