ArticleFuture neurology2010
Cellular mechanisms for altered learning in aging.
Article in Future neurology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Regulation of intrinsic excitability: Roles for learning and memory, aging and Alzheimer's disease, and genetic diversity.Neurobiology of learning and memory · 2019Review
- HIV-1 Tat alters neuronal intrinsic excitability.BMC research notes · 2018Article
- Hippocampal Transcriptomic Profiles: Subfield Vulnerability to Age and Cognitive Impairment.Frontiers in aging neuroscience · 2017Article
- Preclinical Magnetic Resonance Imaging and Spectroscopy Studies of Memory, Aging, and Cognitive Decline.Frontiers in aging neuroscience · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Getting gray hair is part of the natural progression of aging. People expect it and they can change their hair color, if they choose. People also expect increases in memory lapses and learning difficulties as they get older. However, unlike hair color, there is no magic cure or option to fix learning and memory difficulties, because the cellular mechanisms of learning and aging in all the different types of neurons throughout the brain have yet to be discovered. This review describes our efforts to identify a cellular biomarker in hippocampal pyramidal neurons that has been demonstrated to reliably change with learning and with aging - the postburst afterhyperpolarization. We propose that this biomarker, which plays a critical role in regulating neuronal excitability, can be used as a benchmark for future studies in order to understand and identify the cellular mechanisms of learning and aging in the hippocampus, as well as in other cortical regions.
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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.