ReviewFrontiers in neuroscience2015
Incorporating priors for EEG source imaging and connectivity analysis.
Review in Frontiers in neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- EEG CONNECT: A proposed reporting checklist for EEG-based connectivity studies in clinical epilepsy research.Epilepsia open · 2026Review
- Multimodal EEG-MRI Neuroimaging in Schizophrenia-A Systematic and Mechanistic Review.Journal of clinical medicine · 2026Review
- Electroencephalogram Electrode and Amplifier Temperature Changes During Routine Anatomical and Functional Magnetic Resonance Imaging Sequences at 3 Tesla.Clinical EEG and neuroscience · 2025Article
- Connectome spectrum electromagnetic tomography: A method to reconstruct electrical brain source networks at high-spatial resolution.Human brain mapping · 2024Article
- The applied principles of EEG analysis methods in neuroscience and clinical neurology.Military Medical Research · 2023Review
- High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors.NeuroImage · 2023Article
- A revisit of the amygdala theory of autism: Twenty years after.Neuropsychologia · 2023Review
- Structure supports function: Informing directed and dynamic functional connectivity with anatomical priors.Network neuroscience (Cambridge, Mass.) · 2022Article
- Optimizing EEG Source Reconstruction with Concurrent fMRI-Derived Spatial Priors.Brain topography · 2022Article
- Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function.Frontiers in systems neuroscience · 2022Review
- Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors.Neural computation · 2021Article
- EEG hyperscanning in motor rehabilitation: a position paper.Journal of neuroengineering and rehabilitation · 2021Article
- Structural templates for imaging EEG cortical sources in infants.NeuroImage · 2021Article
- Comparison of Causality Network Estimation in the Sensor and Source Space: Simulation and Application on EEG.Frontiers in network physiology · 2021Article
- Semi-Automated and Direct Localization and Labeling of EEG Electrodes Using MR Structural Images for Simultaneous fMRI-EEG.Frontiers in neuroscience · 2020Article
- A Novel Noninvasive Approach Based on SPECT and EEG for the Location of the Epileptogenic Zone in Pharmacoresistant Non-Lesional Epilepsy.Medicina (Kaunas, Lithuania) · 2019Article
- ["ConnectToBrain" : Synergy project for therapeutic closed-loop stimulation of brain network disorders].Der Nervenarzt · 2019Review
- Simultaneous EEG-fMRI for Functional Neurological Assessment.Frontiers in neurology · 2019Review
- Taking the EEG Back Into the Brain: The Power of Multiple Discrete Sources.Frontiers in neurology · 2019Article
- Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity.Frontiers in neurology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Electroencephalography source imaging (ESI) is a useful technique to localize the generators from a given scalp electric measurement and to investigate the temporal dynamics of the large-scale neural circuits. By introducing reasonable priors from other modalities, ESI reveals the most probable sources and communication structures at every moment in time. Here, we review the available priors from such techniques as magnetic resonance imaging (MRI), functional MRI (fMRI), and positron emission tomography (PET). The modality's specific contribution is analyzed from the perspective of source reconstruction. For spatial priors, EEG-correlated fMRI, temporally coherent networks (TCNs) and resting-state fMRI are systematically introduced in the ESI. Moreover, the fiber tracking (diffusion tensor imaging, DTI) and neuro-stimulation techniques (transcranial magnetic stimulation, TMS) are also introduced as the potential priors, which can help to draw inferences about the neuroelectric connectivity in the source space. We conclude that combining EEG source imaging with other complementary modalities is a promising approach toward the study of brain networks in cognitive and clinical neurosciences.
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.