ArticleNetwork neuroscience (Cambridge, Mass.)2018
Network dynamics in the healthy and epileptic developing brain.
Article in Network neuroscience (Cambridge, Mass.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
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Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Linking fast and slow: The case for generative models.Network neuroscience (Cambridge, Mass.) · 2024Review
- Electroencephalography derived connectivity informing epilepsy surgical planning: Towards clinical applications and future perspectives.NeuroImage. Clinical · 2024Review
- Epileptic seizures detection and the analysis of optimal seizure prediction horizon based on frequency and phase analysis.Frontiers in neuroscience · 2023Article
- The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives.Frontiers in network physiology · 2023Review
- Characteristics of Microstructural Changes Associated with Glioma Related Epilepsy: A Diffusion Tensor Imaging (DTI) Study.Brain sciences · 2022Article
- Adiabatic dynamic causal modelling.NeuroImage · 2021Article
- Scalp high-frequency oscillation rates are higher in younger children.Brain communications · 2021Article
- A Feature Tensor-Based Epileptic Detection Model Based on Improved Edge Removal Approach for Directed Brain Networks.Frontiers in neuroscience · 2020Article
- Detecting sequences of system states in temporal networks.Scientific reports · 2019Article
- Calcium imaging and dynamic causal modelling reveal brain-wide changes in effective connectivity and synaptic dynamics during epileptic seizures.PLoS computational biology · 2018Article
- Network dynamics in the healthy and epileptic developing brain.Network neuroscience (Cambridge, Mass.) · 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 at 3 institutions in 1 country.
Funding
Abstract
Electroencephalography (EEG) allows recording of cortical activity at high temporal resolution. EEG recordings can be summarized along different dimensions using network-level quantitative measures, such as channel-to-channel correlation, or band power distributions across channels. These reveal network patterns that unfold over a range of different timescales and can be tracked dynamically. Here we describe the dynamics of network state transitions in EEG recordings of spontaneous brain activity in normally developing infants and infants with severe early infantile epileptic encephalopathies (
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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.