ArticlePLoS computational biology2020
Task-evoked activity quenches neural correlations and variability across cortical areas.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04862572 (Investigating Disinhibitory Brain Mechanism in Tinnitus and Hearing Loss), which is not on this map. Cited by 66 papers.
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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.
Investigating Disinhibitory Brain Mechanism in Tinnitus and Hearing Loss: Is There a Maladaptive Signature of Auditory Cortex GABA Loss and Dysconnectivity?
Who cites it
66 citing papers in PubMed.
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- Distributed cortical network dynamics of binocular convergent eye movements in humans.Network neuroscience (Cambridge, Mass.) · 2026Article
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- A multi-frequency whole-brain neural mass model with homeostatic feedback inhibition.bioRxiv : the preprint server for biology · 2025Article
- Mechanisms and interventions promoting healthy frontostriatal dynamics in obsessive-compulsive disorder.Nature communications · 2025Article
- A dynamic framework of brain functional patterns shaped by spontaneous thoughts beyond the default mode network.Scientific reports · 2025Article
- Using an ordinary differential equation model to separate rest and task signals in fMRI.Nature communications · 2025Article
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- Disentangling signal and noise in neural responses through generative modeling.PLoS computational biology · 2025Article
- The Transdiagnostic Connectome Project: an open dataset for studying brain-behavior relationships in psychiatry.Scientific data · 2025Article
- Association of Bidirectional Network Cores in the Brain with Perceptual Awareness and Cognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
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- Typical and disrupted small-world architecture and regional communication in full-term and preterm infants.PNAS nexus · 2025Article
- Association of bidirectional network cores in the brain with perceptual awareness and cognition.bioRxiv : the preprint server for biology · 2025Article
- Dynamical models reveal anatomically reliable attractor landscapes embedded in resting-state brain networks.Imaging neuroscience (Cambridge, Mass.) · 2025Article
6 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
Abstract
Many large-scale functional connectivity studies have emphasized the importance of communication through increased inter-region correlations during task states. In contrast, local circuit studies have demonstrated that task states primarily reduce correlations among pairs of neurons, likely enhancing their information coding by suppressing shared spontaneous activity. Here we sought to adjudicate between these conflicting perspectives, assessing whether co-active brain regions during task states tend to increase or decrease their correlations. We found that variability and correlations primarily decrease across a variety of cortical regions in two highly distinct data sets: non-human primate spiking data and human functional magnetic resonance imaging data. Moreover, this observed variability and correlation reduction was accompanied by an overall increase in dimensionality (reflecting less information redundancy) during task states, suggesting that decreased correlations increased information coding capacity. We further found in both spiking and neural mass computational models that task-evoked activity increased the stability around a stable attractor, globally quenching neural variability and correlations. Together, our results provide an integrative mechanistic account that encompasses measures of large-scale neural activity, variability, and correlations during resting and task states.
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