ArticleFrontiers in aging neuroscience2014
Consolidation in older adults depends upon competition between resting-state networks.
Article in Frontiers in aging neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Trial
- Dopaminergic mechanisms supporting hippocampal postencoding dynamics in humans.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Reactivation and consolidation of memory traces during post-encoding rest across the adult lifespan.Annals of clinical and translational neurology · 2025Review
- Decreased Efficiency of Between-Network Dynamics During Early Memory Consolidation With Aging.Frontiers in aging neuroscience · 2022Article
- Editorial: The impact of age-related changes in brain network organization and sleep on memory.Frontiers in aging neuroscience · 2022Article
- A Multivariate Assessment of Age-Related Cognitive Impairment inFrontiers in integrative neuroscience · 2021Article
- Article
- Changes in Resting-State Functional Connectivity of the Hippocampus Following Cognitive Effort Predict Memory Decline at Older Age-A Longitudinal fMRI Study.Frontiers in aging neuroscience · 2019Article
- Neural Network Connectivity During Post-encoding Rest: Linking Episodic Memory Encoding and Retrieval.Frontiers in human neuroscience · 2018Article
- Age-related differences in practice-dependent resting-state functional connectivity related to motor sequence learning.Human brain mapping · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Memory encoding and retrieval problems are inherent to aging. To date, however, the effect of aging upon the neural correlates of forming memory traces remains poorly understood. Resting-state fMRI connectivity can be used to investigate initial consolidation. We compared within and between network connectivity differences between healthy young and older participants before encoding, after encoding and before retrieval by means of resting-state fMRI. Alterations over time in the between-network connectivity analyses correlated with retrieval performance, whereas within-network connectivity did not: a higher level of negative coupling or competition between the default mode and the executive networks during the after encoding condition was associated with increased retrieval performance in the older adults, but not in the young group. Data suggest that the effective formation of memory traces depends on an age-dependent, dynamic reorganization of the interaction between multiple, large-scale functional networks. Our findings demonstrate that a cross-network based approach can further the understanding of the neural underpinnings of aging-associated memory decline.
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.