ArticlePLoS computational biology2015
Task-Driven Activity Reduces the Cortical Activity Space of the Brain: Experiment and Whole-Brain Modeling.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A comprehensive analysis of brain network complexity in task-based fMRI using entropy: systematic review.Brain imaging and behavior · 2026Pooled it
- Brain signal variability during rest as a neural mechanism underlying cognitive reserve.NeuroImage · 2026Article
- A deformable attractor manifold organizes human resting-state brain dynamics.bioRxiv : the preprint server for biology · 2026Article
- Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain.PLoS computational biology · 2026Article
- Article
- Network Mechanisms Underlying the Regional Diversity of Variance and Time Scales of the Brain's Spontaneous Activity Fluctuations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Dynamical models reveal anatomically reliable attractor landscapes embedded in resting-state brain networks.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Network mechanisms of ongoing brain activity's influence on conscious visual perception.Nature communications · 2024Article
- Dynamical models reveal anatomically reliable attractor landscapes embedded in resting state brain networks.bioRxiv : the preprint server for biology · 2024Article
- Attention-based fusion of multiple graphheat networks for structural to functional brain mapping.Scientific reports · 2024Article
- Rest assured: Dynamic functional connectivity and the baseline state of the human brain.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Improved clinical outcome prediction in depression using neurodynamics in an emotional face-matching functional MRI task.Frontiers in psychiatry · 2024Article
- The arrow of time of brain signals in cognition: Potential intriguing role of parts of the default mode network.Network neuroscience (Cambridge, Mass.) · 2023Article
- Article
- Brain mechanisms of mental processing: from evoked and spontaneous brain activities to enactive brain activity.Psychoradiology · 2023Review
- Cross-attractor repertoire provides new perspective on structure-function relationship in the brain.NeuroImage · 2022Article
- Entropy Could Quantify Brain Activation Induced by Mechanical Impedance-Restrained Active Arm Motion: A Functional NIRS Study.Entropy (Basel, Switzerland) · 2022Article
- Enhancing task fMRI preprocessing via individualized model-based filtering of intrinsic activity dynamics.NeuroImage · 2022Article
- Non-additive activity modulation during a decision making task involving tactic selection.Cognitive neurodynamics · 2022Article
- Criticality enhances the multilevel reliability of stimulus responses in cortical neural networks.PLoS computational biology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
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Abstract
How a stimulus or a task alters the spontaneous dynamics of the brain remains a fundamental open question in neuroscience. One of the most robust hallmarks of task/stimulus-driven brain dynamics is the decrease of variability with respect to the spontaneous level, an effect seen across multiple experimental conditions and in brain signals observed at different spatiotemporal scales. Recently, it was observed that the trial-to-trial variability and temporal variance of functional magnetic resonance imaging (fMRI) signals decrease in the task-driven activity. Here we examined the dynamics of a large-scale model of the human cortex to provide a mechanistic understanding of these observations. The model allows computing the statistics of synaptic activity in the spontaneous condition and in putative tasks determined by external inputs to a given subset of brain regions. We demonstrated that external inputs decrease the variance, increase the covariances, and decrease the autocovariance of synaptic activity as a consequence of single node and large-scale network dynamics. Altogether, these changes in network statistics imply a reduction of entropy, meaning that the spontaneous synaptic activity outlines a larger multidimensional activity space than does the task-driven activity. We tested this model's prediction on fMRI signals from healthy humans acquired during rest and task conditions and found a significant decrease of entropy in the stimulus-driven activity. Altogether, our study proposes a mechanism for increasing the information capacity of brain networks by enlarging the volume of possible activity configurations at rest and reliably settling into a confined stimulus-driven state to allow better transmission of stimulus-related information.
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