ArticleBrain connectivity2017
Infraslow Electroencephalographic and Dynamic Resting State Network Activity.
Article in Brain connectivity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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.
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.
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Who cites it
49 citing papers in PubMed, 84 citations in OpenAlex.
- Can EEG-Neurofeedback Training Enhance Effective Connectivity in People With Chronic Secondary Musculoskeletal Pain? A Secondary Analysis of a Feasibility Randomized Controlled Clinical Trial.Brain and behavior · 2025Trial
- A randomised, double-blind, placebo-controlled parallel trial of closed-loop infraslow brain training in food addiction.Scientific reports · 2018Trial
- An integrated platform for simultaneous wide-field voltage/calcium imaging and fMRI (EPI & ZTE) reveals neuronal infraslow dynamics underlying functional connectivity.bioRxiv : the preprint server for biology · 2026Article
- Article
- QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity.bioRxiv : the preprint server for biology · 2025Article
- Neurovascular phase coherence is altered in Alzheimer's disease.Brain communications · 2025Article
- Altered functional connectivity and spatiotemporal dynamics in individuals with central disorders of hypersomnolence.Frontiers in neuroscience · 2025Article
- Enhanced Correlation between Arousal and Infra-Slow Brain Activity in Experienced Meditators.Brain sciences · 2024Article
- Meditation-type specific reduction in infra-slow activity of electroencephalogram.Biomedical engineering letters · 2024Article
- Variation in the Distribution of Large-scale Spatiotemporal Patterns of Activity Across Brain States.bioRxiv : the preprint server for biology · 2024Article
- Time-varying functional connectivity predicts fluctuations in sustained attention in a serial tapping task.Cognitive, affective & behavioral neuroscience · 2024Article
- Atypical instantaneous spatio-temporal patterns of neural dynamics in Alzheimer's disease.Scientific reports · 2024Article
- Hemodynamic cortical ripples through cyclicity analysis.Network neuroscience (Cambridge, Mass.) · 2024Article
- Variation in the distribution of large-scale spatiotemporal patterns of activity across brain states.Frontiers in systems neuroscience · 2024Article
- The Analysis of Spontaneous Electroencephalogram (EEG) in Chronic Low Back Pain Patients Compared with Healthy Subjects.Medical journal of the Islamic Republic of Iran · 2023Article
- The interaction between random and systematic visual stimulation and infraslow quasiperiodic spatiotemporal patterns of whole brain activity.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Self-regulation training for people with knee osteoarthritis: a protocol for a feasibility randomised control trial (MiNT trial).Frontiers in pain research (Lausanne, Switzerland) · 2023Article
- Article
- A parsimonious description of global functional brain organization in three spatiotemporal patterns.Nature neuroscience · 2022Article
- Spatiotemporal patterns of spontaneous brain activity: a mini-review.Neurophotonics · 2022Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
A number of studies have linked the blood oxygenation level dependent (BOLD) signal to electroencephalographic (EEG) signals in traditional frequency bands (δ, θ, α, β, and γ), but the relationship between BOLD and its direct frequency correlates in the infraslow band (<1 Hz) has been little studied. Previously, work in rodents showed that infraslow local field potentials play a role in functional connectivity, particularly in the dynamic organization of large-scale networks. To examine the relationship between infraslow activity and network dynamics in humans, direct current (DC) EEG and resting state magnetic resonance imaging data were acquired simultaneously. The DC EEG signals were correlated with the BOLD signal in patterns that resembled resting state networks. Subsequent dynamic analysis showed that the correlation between DC EEG and the BOLD signal varied substantially over time, even within individual subjects. The variation in DC EEG appears to reflect the time-varying contribution of different resting state networks. Furthermore, some of the patterns of DC EEG and BOLD correlation are consistent with previous work demonstrating quasiperiodic spatiotemporal patterns of large-scale network activity in resting state. These findings demonstrate that infraslow electrical activity is linked to BOLD fluctuations in humans and that it may provide a basis for large-scale organization comparable to that observed in animal studies.
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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.