Seizure source imaging by means of FINE spatio-temporal dipole localization and directed transfer function in partial epilepsy patients
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Objective To investigate the usage of a high-density EEG recording system and source imaging technique for localizing seizure activity in patients with medically intractable partial epilepsy.Methods High-density, 76-channel scalp EEG signals were recorded in 10 patients with partial epilepsy. The patients underwent routine clinical pre-surgical evaluation and all had resective surgery with seizure free outcome. After applying a FINE (first principle vectors) spatio-temporal source localization and DTF (directed transfer function) connectivity analysis approach, ictal sources were imaged. Effects of number of scalp EEG electrodes on the seizure localization were also assessed using 76, 64, 48, 32, and 21 electrodes, respectively.Results Surgical resections were used to assess the source imaging results. Results from the 76-channel EEG in the 10 patients showed high correlation with the surgically resected brain regions. The localization of seizure onset zone from 76-channel EEG showed improved source detection accuracy compared to other EEG configurations with fewer electrodes.Conclusions FINE together with DTF was able to localize seizure onset zones of partial epilepsy patients. High-density EEG recording can help achieve improved seizure source imaging.Significance The present results suggest the promise of high-density EEG and electrical source imaging for noninvasively localizing seizure onset zones.
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The eConnectome approach has stirred interest in studying pathological networks such as epilepsy, where determining the source that drives seizures is important.
“The eConnectome approach (104, 105) has stirred interest in studying pathological networks such as epilepsy, where determining the source that drives seizures is of particular importance (106).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [106]
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- Authors
- Lu, Y., Yang, L., Worrell, G. A., & He, B.
- Affiliations
- University of Minnesota (US)
- Mayo Clinic (US)
- Corresponding author
- He, Bin
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 123
- Issue
- 7
- Pages
- 1275-1283
- ISSN
- 1388-2457 (ISSN-L)
- PMC
- PMC3327757
- OpenAlex
- W1968982075
- Cited by
- 98
- References
- 52
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 4 · 2023: 4 · 2022: 3 · 2021: 4 · 2020: 6 · 2019: 6 · 2018: 9 · 2017: 7 · 2016: 15 · 2015: 8 · 2014: 14 · 2013: 9 · 2012: 2
- FWCI
- 4.06
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Clinical Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (R01NS063039)
- National Institute of Biomedical Imaging and Bioengineering (R01EB007920, R01EB006433)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- focal epilepsy, drug-resistant epilepsy, high-density EEG, directed transfer function, seizure onset zone, ictal EEG, surgical resection, preoperative assessment
- MeSH terms
- Adult, Brain, Brain Mapping, Computer Simulation, Electrodes, Electroencephalography, Epilepsies, Partial, Feasibility Studies, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged
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