ArticleNeurobiology of learning and memory2020
Inactivation of the striatum in aged rats rescues their ability to learn a hippocampus-sensitive spatial navigation task.
Article in Neurobiology of learning and memory, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Enhancement of response learning in male rats with intrastriatal infusions of a BDNF -TrkB agonist, 7,8-dihydroxyflavone.Behavioural brain research · 2026Article
- Muscimol inactivation of dorsal striatum in young and aged male rats does not affect paired associates learning performance.Behavioral neuroscience · 2023Article
- Effects of Caloric Restriction on Spatial Object Recognition Memory, Hippocampal Neuron Loss and Neuroinflammation in Aged Rats.Nutrients · 2023Article
- A novel aged mouse model of recurrent intracerebral hemorrhage in the bilateral striatum.Neural regeneration research · 2023Article
- Hippocampus-sensitive and striatum-sensitive learning one month after morphine or cocaine exposure in male rats.Pharmacology, biochemistry, and behavior · 2022Article
- A Neuroeconomics Approach to Obesity.Biological psychiatry · 2022Review
- Article
- Aging is not equal across memory systems.Neurobiology of learning and memory · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Studies of age-related changes in learning and memory often focus on hippocampus-sensitive tasks and reveal age-associated impairments across numerous species and contexts. However, cognitive decline with advanced age is not all-encompassing; for example, forms of striatum-sensitive learning are conserved or enhanced with age. Under certain conditions, hippocampal and striatal memory systems function in opposition. In young adult rodents, disruption of one structure can enhance learning on tasks dependent on the other, suggesting that competitive interactions across memory systems contribute to learning and memory abilities. This report examines whether imbalances across memory systems might contribute to cognitive aging. We inactivated the striatum using central infusions of lidocaine (sodium channel blocker) prior to hippocampus-sensitive spatial (place) training in young (3-4-month-old) and old (24-25-month-old) F344 male rats. Consistent with prior work, vehicle-infused old rats exhibited place learning impairments relative to young rats. Additionally, striatal inactivation enhanced learning in old rats, but not young rats, abolishing the age-related impairment. These findings suggest that age-related declines in learning tasks thought to engage the hippocampus may stem from exaggerated interference from other memory systems and that interventions to target the striatum may reverse some age-related learning decrements.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.