ArticleAIMS neuroscience2016
The Contribution of Spatial and Temporal Molecular Networks in the Induction of Long-term Memory and Its Underlying Synaptic Plasticity.
Article in AIMS neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 15 citations in OpenAlex.
- Long-term dynamic profiles of cognitive kinases induced by different learning protocols.bioRxiv : the preprint server for biology · 2025Article
- Pattern detection in the TGFβ cascade controls the induction of long-term synaptic plasticity.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Maternal L-thyroxine treatment during lactation affects learning and anxiety-like behaviors but not spatial memory in adult rat progeny.Pharmacological reports : PR · 2021Article
- ELAV Proteins Bind and Stabilize C/EBP mRNA in the Induction of Long-Term Memory inThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Article
- Postsynaptic effects ofLearning & memory (Cold Spring Harbor, N.Y.) · 2020Article
- Comparing Theories for the Maintenance of Late LTP and Long-Term Memory: Computational Analysis of the Roles of Kinase Feedback Pathways and Synaptic Reactivation.Frontiers in computational neuroscience · 2020Article
- The ELAV family of RNA-binding proteins in synaptic plasticity and long-term memory.Neurobiology of learning and memory · 2019Review
- How can memories last for days, years, or a lifetime? Proposed mechanisms for maintaining synaptic potentiation and memory.Learning & memory (Cold Spring Harbor, N.Y.) · 2019Review
- How the epigenome integrates information and reshapes the synapse.Nature reviews. Neuroscience · 2019Review
- Long-term dynamic profiles of cognitive kinases induced by different learning protocols.Learning & memory (Cold Spring Harbor, N.Y.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The ability to form long-lasting memories is critical to survival and thus is highly conserved across the animal kingdom. By virtue of its complexity, this same ability is vulnerable to disruption by a wide variety of neuronal traumas and pathologies. To identify effective therapies with which to treat memory disorders, it is critical to have a clear understanding of the cellular and molecular mechanisms which subserve normal learning and memory. A significant challenge to achieving this level of understanding is posed by the wide range of distinct temporal and spatial profiles of molecular signaling induced by learning-related stimuli. In this review we propose that a useful framework within which to address this challenge is to view the molecular foundation of long-lasting plasticity as composed of unique spatial and temporal molecular networks that mediate signaling both within neurons (such as via kinase signaling) as well as between neurons (such as via growth factor signaling). We propose that evaluating how cells integrate and interpret these concurrent and interacting molecular networks has the potential to significantly advance our understanding of the mechanisms underlying learning and memory formation.
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.