ArticleCognitive neurodynamics2021
Localizing confined epileptic foci in patients with an unclear focus or presumed multifocality using a component-based EEG-fMRI method.
Article in Cognitive neurodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 39 citations in OpenAlex.
- Integrating multivariate resting-state fMRI features to localize epileptic networks in common childhood epilepsy.Epilepsia · 2026Article
- Spatio-temporal independent component classification for localization of seizure onset zone.Frontiers in neurology · 2025Article
- EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.Frontiers in human neuroscience · 2025Article
- Investigating the role of auditory cues in modulating motor timing: insights from EEG and deep learning.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Closed-loop seizure modulation via extreme learning machine based extended state observer.Cognitive neurodynamics · 2023Article
- Classification of the Epileptic Seizure Onset Zone Based on Partial Annotation.Cognitive neurodynamics · 2023Article
- Enhancing the accuracy of electroencephalogram-based emotion recognition through Long Short-Term Memory recurrent deep neural networks.Frontiers in human neuroscience · 2023Article
- Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder.Frontiers in systems neuroscience · 2023Article
- 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
- Probing fMRI brain connectivity and activity changes during emotion regulation by EEG neurofeedback.Frontiers in human neuroscience · 2022Article
- Identification of effective features of LFP signal for making closed-loop deep brain stimulation in parkinsonian rats.Medical & biological engineering & computing · 2022Article
- Detection of epileptic seizures through EEG signals using entropy features and ensemble learning.Frontiers in human neuroscience · 2022Article
- A Spherical Phase Space Partitioning Based Symbolic Time Series Analysis (SPSP-STSA) for Emotion Recognition Using EEG Signals.Frontiers in human neuroscience · 2022Article
- Localization of Epileptic Foci Based on Simultaneous EEG-fMRI Data.Frontiers in neurology · 2021Review
- Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation.Frontiers in neurology · 2021Article
- Blind Visualization of Task-Related Networks From Visual Oddball Simultaneous EEG-fMRI Data: Spectral or Spatiospectral Model?Frontiers in neurology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precise localization of epileptic foci is an unavoidable prerequisite in epilepsy surgery. Simultaneous EEG-fMRI recording has recently created new horizons to locate foci in patients with epilepsy and, in comparison with single-modality methods, has yielded more promising results although it is still subject to limitations such as lack of access to information between interictal events. This study assesses its potential added value in the presurgical evaluation of patients with complex source localization. Adult candidates considered ineligible for surgery on account of an unclear focus and/or presumed multifocality on the basis of EEG underwent EEG-fMRI. Adopting a component-based approach, this study attempts to identify the neural behavior of the epileptic generators and detect the components-of-interest which will later be used as input in the GLM model, substituting the classical linear regressor. Twenty-eight sets interictal epileptiform discharges (IED) from nine patients were analyzed. In eight patients, at least one BOLD response was significant, positive and topographically related to the IEDs. These patients were rejected for surgery because of an unclear focus in four, presumed multifocality in three, and a combination of the two conditions in two. Component-based EEG-fMRI improved localization in five out of six patients with unclear foci. In patients with presumed multifocality, component-based EEG-fMRI advocated one of the foci in five patients and confirmed multifocality in one of the patients. In seven patients, component-based EEG-fMRI opened new prospects for surgery and in two of these patients, intracranial EEG supported the EEG-fMRI results. In these complex cases, component-based EEG-fMRI either improved source localization or corroborated a negative decision regarding surgical candidacy. As supported by the statistical findings, the developed EEG-fMRI method leads to a more realistic estimation of localization compared to the conventional EEG-fMRI approach, making it a tool of high value in pre-surgical evaluation of patients with refractory epilepsy. To ensure proper implementation, we have included guidelines for the application of component-based EEG-fMRI in clinical practice.
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.