Dynamic imaging of ictal oscillations using non-invasive high-resolution EEG
Open accessAbstract
Scalp electroencephalography (EEG) has been established as a major component of the pre-surgical evaluation for epilepsy surgery. However, its ability to localize seizure onset zones (SOZ) has been significantly restricted by its low spatial resolution and indirect correlation with underlying brain activities. Here we report a novel non-invasive dynamic seizure imaging (DSI) approach based upon high-density EEG recordings. This novel approach was particularly designed to image the dynamic changes of ictal rhythmic discharges that evolve through time, space and frequency. This method was evaluated in a group of 8 epilepsy patients and results were rigorously validated using intracranial EEG (iEEG) (n=3) and surgical outcome (n=7). The DSI localized the ictal activity in concordance with surgically resected zones and ictal iEEG recordings in the cohort of patients. The present promising results support the ability to precisely and accurately image dynamic seizure activity from non-invasive measurements. The successful establishment of such a non-invasive seizure imaging modality for surgical evaluation will have a significant impact in the management of medically intractable epilepsy.
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Electrophysiological source imaging has been used successfully to localize seizures.
“Furthermore, ESI has been used successfully to localize seizures (82–84).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [83]
The oscillatory nature of seizure-related activity requires spatiotemporal electrophysiological source imaging.
“The oscillatory nature of seizure-related activity requires spatiotemporal ESI (83).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [83]
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Self-citation
- Authors
- Yang, L., Wilke, C., Brinkmann, B., Worrell, G. A., & He, B.
- Affiliations
- University of Minnesota (US)
- Mayo Clinic (US)
- Corresponding author
- He, Bin
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2011-06
- Volume
- 56
- Issue
- 4
- Pages
- 1908-1917
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3359824
- OpenAlex
- W2078653879
- Cited by
- 93
- References
- 59
- Citations by year
- 2025: 4 · 2024: 6 · 2023: 4 · 2022: 5 · 2021: 7 · 2020: 6 · 2019: 5 · 2018: 6 · 2017: 8 · 2016: 9 · 2015: 10 · 2014: 7 · 2013: 7 · 2012: 8
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (RO1 EB007920, RO1 EB006433)
- NSF (CBET-0933067)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- seizure onset zone localization, epilepsy surgery, high-density EEG, drug-resistant epilepsy, preoperative assessment
- MeSH terms
- Adult, Brain, Electroencephalography, Female, Humans, Male, Preoperative Care, Seizures, Signal Processing, Computer-Assisted
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