ArticleIEEE transactions on bio-medical engineering2014
Noninvasive imaging of the high frequency brain activity in focal epilepsy patients.
Article in IEEE transactions on bio-medical engineering, 2014. 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 17 papers.
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Who cites it
17 citing papers in PubMed.
- Mapping epileptogenic brain using a unified spatial-temporal-spectral source imaging framework.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Electroencephalographic source imaging of spikes with concurrent high-frequency oscillations is concordant with the clinical ground truth.Epilepsia · 2024Article
- Low-density scalp electrical source imaging of the ictal onset zone network using source coherence maps.Frontiers in neurology · 2024Article
- Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy.Brain topography · 2024Article
- Imaging the extent and location of spatiotemporally distributed epileptiform sources from MEG measurements.NeuroImage. Clinical · 2022Article
- Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Noninvasive electromagnetic source imaging of spatiotemporally distributed epileptogenic brain sources.Nature communications · 2020Article
- Magnetoencephalography imaging of high frequency oscillations strengthens presurgical localization and outcome prediction.Brain : a journal of neurology · 2019Article
- Localization of the Epileptogenic Zone Using High Frequency Oscillations.Frontiers in neurology · 2019Review
- Electrophysiological Evidence for the Development of a Self-Sustained Large-Scale Epileptic Network in the Kainate Mouse Model of Temporal Lobe Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Resting-state test-retest reliability of a priori defined canonical networks over different preprocessing steps.Brain structure & function · 2017Article
- Characterization of functional brain activity and connectivity using EEG and fMRI in patients with sickle cell disease.NeuroImage. Clinical · 2017Article
- Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach.IEEE transactions on bio-medical engineering · 2016Article
- Imaging brain source extent from EEG/MEG by means of an iteratively reweighted edge sparsity minimization (IRES) strategy.NeuroImage · 2016Article
- Effect of EEG electrode number on epileptic source localization in pediatric patients.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2015Article
- Genetic Programming and Frequent Itemset Mining to Identify Feature Selection Patterns of iEEG and fMRI Epilepsy Data.Engineering applications of artificial intelligence · 2015Article
- Assessing dynamic spectral causality by lagged adaptive directed transfer function and instantaneous effect factor.IEEE transactions on bio-medical engineering · 2014Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
High-frequency (HF) activity represents a potential biomarker of the epileptogenic zone in epilepsy patients, the removal of which is considered to be crucial for seizure-free surgical outcome. We proposed a high frequency source imaging (HFSI) approach to noninvasively image the brain sources of the scalp-recorded HF EEG activity. Both computer simulation and clinical patient data analysis were performed to investigate the feasibility of using the HFSI approach to image the sources of HF activity from noninvasive scalp EEG recordings. The HF activity was identified from high-density scalp recordings after high-pass filtering the EEG data and the EEG segments with HF activity were concatenated together to form repetitive HF activity. Independent component analysis was utilized to extract the components corresponding to the HF activity. Noninvasive EEG source imaging using realistic geometric boundary element head modeling was then applied to image the sources of the pathological HF brain activity. Five medically intractable focal epilepsy patients were studied and the estimated sources were found to be concordant with the surgical resection or intracranial recordings of the patients. The present study demonstrates, for the first time, that source imaging from the scalp HF activity could help to localize the seizure onset zone and provide a novel noninvasive way of studying the epileptic brain in humans. This study also indicates the potential application of studying HF activity in the presurgical planning of medically intractable epilepsy patients.
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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.