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A Metric Test for Assessing Spatial Working Memory in Adult Rats Following Traumatic Brain Injury
Published on: May 7, 2021
Sex Differences in Memory Performance after Traumatic Brain Injury in Rats
Isabella K Robson1,2, Thallita K Rabelo1, Thiago H Almeida Souza1
1Sunnybrook Research Institute, Toronto, Ontario, Canada.
Neurotrauma Reports
|August 1, 2026
Summary
Sex differences impact long-term memory after traumatic brain injury (TBI). Female rats showed greater deficits in novelty-driven memory tasks compared to males, highlighting the need for sex-inclusive TBI research.
Area of Science:
- Neuroscience
- Neurotrauma
- Cognitive Science
Background:
- Traumatic brain injury (TBI) frequently causes persistent cognitive deficits.
- Clinical data suggest biological sex influences TBI outcomes.
- Preclinical TBI research predominantly uses male subjects, limiting understanding of sex-specific effects.
Purpose of the Study:
- To investigate sex-specific long-term memory outcomes following TBI in rats.
- To examine the influence of the estrous cycle on female TBI outcomes.
- To compare cognitive performance deficits between male and female rats post-TBI.
Main Methods:
- Moderate-to-severe fluid percussion injury was induced in male and female rats.
- Behavioral assessments included open field test, novel object location (NOL), novel object recognition (NOR), and Barnes maze (BM).
- Female estrous cycle phase was monitored during testing.
Main Results:
- Females exhibited higher locomotor activity than males, irrespective of injury.
- TBI impaired NOL and NOR performance, with females showing greater deficits in object recognition than males.
- Barnes maze revealed TBI-induced shifts to nonspatial strategies in both sexes, with males showing greater spatial navigation disruption.
Conclusions:
- Sex differences in cognitive outcomes after TBI are domain-specific.
- Female rats exhibit heightened vulnerability in novelty-driven memory tasks post-TBI.
- Incorporating sex as a biological variable in preclinical TBI models is crucial for understanding outcome variability.

