ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2020
Spontaneous Network Coupling Enables Efficient Task Performance without Local Task-Induced Activations.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Improving Visual Perception and Visuo-motor Learning With Neurofeedback of Brain Network Interaction.
Neurofeedback-based Visual Restoration Therapy
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Oscillatory dynamics of motor learning across adulthood life span: a systematic review.Frontiers in aging neuroscience · 2025Pooled it
- Towards Network-Based Neurofeedback of Visual Areas to Enhance Visual Perception.Brain topography · 2026Trial
- Closed-Loop Neurofeedback of α Synchrony during Goal-Directed Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Trial
- Encoding Manual Dexterity through Modulation of Intrinsic α Band Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Neural correlates of motor learning: Network communication versus local oscillations.Network neuroscience (Cambridge, Mass.) · 2024Article
- A Method for Estimating Longitudinal Change in Motor Skill from Individualized Functional-Connectivity Measures.Sensors (Basel, Switzerland) · 2022Article
- Decoding cognition from spontaneous neural activity.Nature reviews. Neuroscience · 2022Review
- Connectomics of human electrophysiology.NeuroImage · 2022Article
- Feasibility of Reconstructing Source Functional Connectivity with Low-Density EEG.Brain topography · 2021Article
- High Phase Synchronization in Alpha Band Activity in Older Subjects With High Creativity.Frontiers in human neuroscience · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurobehavioral studies in humans have long concentrated on changes in local activity levels during repetitive executions of a task. Spontaneous neural coupling within extended networks has latterly been found to also influence performance. Here, we intend to uncover the underlying mechanisms, the relative importance, and the interaction between spontaneous coupling and task-induced activations. To do so, we recorded two groups of healthy participants (male and female) during rest and while they performed either a visual perception or a motor sequence task. We demonstrate that, for both tasks, stronger activations during the task as well as greater network coupling through spontaneous α rhythms at rest predict performance. However, high performers present an absence of classical task-induced activations and, instead, stronger spontaneous network coupling. Activations were thus a compensation mechanism needed only in subjects with lower spontaneous network interactions. This challenges classical models of neural processing and calls for new strategies in attempts to train and enhance performance.
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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.