ArticlePloS one2013
ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Pre- and post-therapy functional MRI connectivity in severe acute brain injury with suppression of consciousness: a comparative analysis to epilepsy features.Frontiers in neuroimaging · 2024Article
- Resting-State Functional MRI/PET Profile as a Potential Alternative to Tri-Modality EEG-MR/PET Imaging: An Exploratory Study in Drug-Refractory Epilepsy.Asian journal of neurosurgery · 2023Article
- DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity.IEEE transactions on bio-medical engineering · 2023Article
- Automated seizure onset zone locator from resting-state functional MRI in drug-resistant epilepsy.Frontiers in neuroimaging · 2022Article
- Localization of Epileptic Foci Based on Simultaneous EEG-fMRI Data.Frontiers in neurology · 2021Review
- Changing concepts in presurgical assessment for epilepsy surgery.Nature reviews. Neurology · 2019Review
- Resting-state functional connectivity by independent component analysis-based markers corresponds to areas of initial seizure propagation established by prior modalities from the hypothalamus.Brain connectivity · 2016Article
- Delineating potential epileptogenic areas utilizing resting functional magnetic resonance imaging (fMRI) in epilepsy patients.Neurocase · 2016Article
- Network analysis of EEG related functional MRI changes due to medication withdrawal in focal epilepsy.NeuroImage. Clinical · 2015Article
- The role of functional neuroimaging in pre-surgical epilepsy evaluation.Frontiers in neurology · 2014Review
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Simultaneous EEG-fMRI has proven to be useful in localizing interictal epileptic activity. However, the applicability of traditional GLM-based analysis is limited as interictal spikes are often not seen on the EEG inside the scanner. Therefore, we aim at extracting epileptic activity purely from the fMRI time series using independent component analysis (ICA). To our knowledge, we show for the first time that ICA can find sources related to epileptic activity in patients where no interictal spikes were recorded in the EEG. The epileptic components were identified retrospectively based on the known localization of the ictal onset zone (IOZ). We demonstrate that the selected components truly correspond to epileptic activity, as sources extracted from patients resemble significantly better the IOZ than sources found in healthy controls. Furthermore, we show that the epileptic components in patients with and without spikes recorded inside the scanner resemble the IOZ in the same degree. We conclude that ICA of fMRI has the potential to extend the applicability of EEG-fMRI for presurgical evaluation in epilepsy.
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