ArticleNeuroImage2017
Temporally correlated fluctuations drive epileptiform dynamics.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Emergence of multifrequency activity in a laminar neural mass model.PLoS computational biology · 2026Article
- EEG microstates, spectral analysis, and risk prediction in epilepsy comorbid with mild cognitive impairment: alteration in intrinsic brain activity.Journal of translational medicine · 2025Article
- Comparison between an exact and a heuristic neural mass model with second-order synapses.Biological cybernetics · 2023Article
- Complex spatiotemporal oscillations emerge from transverse instabilities in large-scale brain networks.PLoS computational biology · 2023Article
- Stimulating native seizures with neural resonance: a new approach to localize the seizure onset zone.Brain : a journal of neurology · 2022Article
- Classifying dynamic transitions in high dimensional neural mass models: A random forest approach.PLoS computational biology · 2018Article
- Generate the scale-free brain music from BOLD signals.Medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Macroscopic models of brain networks typically incorporate assumptions regarding the characteristics of afferent noise, which is used to represent input from distal brain regions or ongoing fluctuations in non-modelled parts of the brain. Such inputs are often modelled by Gaussian white noise which has a flat power spectrum. In contrast, macroscopic fluctuations in the brain typically follow a 1/f
Indexed as
Identifiers
What OpenQuestion holds
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.