ArticlePLoS computational biology2022
Thalamic bursts modulate cortical synchrony locally to switch between states of global functional connectivity in a cognitive task.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Brain network dynamics in the wake-sleep transition reorganize according to task engagement.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Progressive Changes Between Thalamic Nuclei and Cortical Networks Across Stimulus-Response Learning.Human brain mapping · 2025Article
- A model of thalamo-cortical interaction for incremental binding in mental contour-tracing.PLoS computational biology · 2025Article
- Trial-by-trial detection of cognitive events in neural time-series.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- A whole-task brain model of associative recognition that accounts for human behavior and neuroimaging data.PLoS computational biology · 2023Article
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Authors and funding
5 authors.
Funding
Abstract
Performing a cognitive task requires going through a sequence of functionally diverse stages. Although it is typically assumed that these stages are characterized by distinct states of cortical synchrony that are triggered by sub-cortical events, little reported evidence supports this hypothesis. To test this hypothesis, we first identified cognitive stages in single-trial MEG data of an associative recognition task, showing with a novel method that each stage begins with local modulations of synchrony followed by a state of directed functional connectivity. Second, we developed the first whole-brain model that can simulate cortical synchrony throughout a task. The model suggests that the observed synchrony is caused by thalamocortical bursts at the onset of each stage, targeted at cortical synapses and interacting with the structural anatomical connectivity. These findings confirm that cognitive stages are defined by distinct states of cortical synchrony and explains the network-level mechanisms necessary for reaching stage-dependent synchrony states.
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