ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2011
Scale-free properties of the functional magnetic resonance imaging signal during rest and task.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01974427 (Functional Brain Imaging in Healthy Volunteers to Study Cognitive Functions), which is not on this map. Cited by 235 papers.
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.
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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.
Functional Brain Imaging in Healthy Volunteers to Study Cognitive Functions
Who cites it
235 citing papers in PubMed.
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- Electrocorticographic Network Feature Space Constriction as a Preictal Biomarker.Neuroinformatics · 2026Article
- Brain signal variability during rest as a neural mechanism underlying cognitive reserve.NeuroImage · 2026Article
- A generalized scaling law reveals synchrony-driven reorganization of brain dynamics across human lifespan.PLoS computational biology · 2026Article
- Developmental linearization of functional connectivity and its alteration in males with autism spectrum disorder.Developmental cognitive neuroscience · 2026Article
- A Multivariate Method for Dynamic System Analysis: Multivariate Detrended Fluctuation Analysis Using Generalized Variance.Topics in cognitive science · 2026Article
- Fractal dynamics of the healthy human brain: A subcortical-to-cortical gradient of temporal complexity.iScience · 2026Article
- Article
- Learning brain dynamics across distinct scaling regimes reveals psychiatric signatures.Communications biology · 2026Article
- Temporal signatures of thought-neurodynamics distinguish on- and off-task thoughts.Communications biology · 2026Article
- Quantifying State-Dependent Control Properties of Brain Dynamics from Perturbation Responses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Power Spectral Slope as a Novel Brain Functional Marker for Major Depressive Disorder.Biological psychiatry global open science · 2026Article
- Fractal Analysis of Brain Activity During Risky Drinking in Adolescents and Young Adults.Brain sciences · 2025Article
- The neural substrates responsible for reward sensitivity association with delay discounting: left dorsal anterior cingulate cortex connectivity with right precuneus.Brain structure & function · 2025Article
- Resting-State Functional MRI Analyses for Brain Activity Characterization: A Narrative Review of Features and Methods.The European journal of neuroscience · 2025Review
- 7 tesla multiscale entropy analysis reveals increased resting-state complexity in key regions for fear and anxiety in spider-fearful individuals.NeuroImage · 2025Article
- Infra-slow scale-free dynamics modulate the connection of neural and behavioral variability during attention.Communications biology · 2025Article
- Chronic pain is associated with greater brain entropy in the prefrontal cortex.The journal of pain · 2025Article
175 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
It has been shown recently that a significant portion of brain electrical field potentials consists of scale-free dynamics. These scale-free brain dynamics contain complex spatiotemporal structures and are modulated by task performance. Here we show that the fMRI signal recorded from the human brain is also scale free; its power-law exponent differentiates between brain networks and correlates with fMRI signal variance and brain glucose metabolism. Importantly, in parallel to brain electrical field potentials, the variance and power-law exponent of the fMRI signal decrease during task activation, suggesting that the signal contains more long-range memory during rest and conversely is more efficient at online information processing during task. Remarkably, similar changes also occurred in task-deactivated brain regions, revealing the presence of an optimal dynamic range in the fMRI signal. The scale-free properties of the fMRI signal and brain electrical field potentials bespeak their respective stationarity and nonstationarity. This suggests that neurovascular coupling mechanism is likely to contain a transformation from nonstationarity to stationarity. In summary, our results demonstrate the functional relevance of scale-free properties of the fMRI signal and impose constraints on future models of neurovascular coupling.
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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.