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Global and regional functional connectivity maps of neural oscillations in focal epilepsy
Open accessAbstract
Intractable focal epilepsy is a devastating disorder with profound effects on cognition and quality of life. Epilepsy surgery can lead to seizure freedom in patients with focal epilepsy; however, sometimes it fails due to an incomplete delineation of the epileptogenic zone. Brain networks in epilepsy can be studied with resting-state functional connectivity analysis, yet previous investigations using functional magnetic resonance imaging or electrocorticography have produced inconsistent results. Magnetoencephalography allows non-invasive whole-brain recordings, and can be used to study both long-range network disturbances in focal epilepsy and regional connectivity at the epileptogenic zone. In magnetoencephalography recordings from presurgical epilepsy patients, we examined: (i) global functional connectivity maps in patients versus controls; and (ii) regional functional connectivity maps at the region of resection, compared to the homotopic non-epileptogenic region in the contralateral hemisphere. Sixty-one patients were studied, including 30 with mesial temporal lobe epilepsy and 31 with focal neocortical epilepsy. Compared with a group of 31 controls, patients with epilepsy had decreased resting-state functional connectivity in widespread regions, including perisylvian, posterior temporo-parietal, and orbitofrontal cortices (P < 0.01, t-test). Decreased mean global connectivity was related to longer duration of epilepsy and higher frequency of consciousness-impairing seizures (P < 0.01, linear regression). Furthermore, patients with increased regional connectivity within the resection site (n = 24) were more likely to achieve seizure postoperative seizure freedom (87.5% with Engel I outcome) than those with neutral (n = 15, 64.3% seizure free) or decreased (n = 23, 47.8% seizure free) regional connectivity (P < 0.02, chi-square). Widespread global decreases in functional connectivity are observed in patients with focal epilepsy, and may reflect deleterious long-term effects of recurrent seizures. Furthermore, enhanced regional functional connectivity at the area of resection may help predict seizure outcome and aid surgical planning.
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“Such approaches have been applied to determine epileptic networks with positive results indicating the merits of integrating ESI with functional connectivity in mapping brain networks (108, 109).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [109]
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Defining epileptogenic networks: Contribution of SEEG and signal analysis
Bartoloméi, F., Lagarde, S., Wendling, F., McGonigal, A., Jirsa, V., Guye, M., & Bénar, C. (2017) · Epilepsia · doi:10.1111/epi.13791 · Cited by 632
Seizure prediction – ready for a new era
Kuhlmann, L., Lehnertz, K., Richardson, M. P., Schelter, B., & Zaveri, H. P. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0055-2 · Cited by 450
Coherence a measure of the brain networks: past and present
Bowyer, S. M. (2016) · Neuropsychiatric Electrophysiology · doi:10.1186/s40810-015-0015-7 · Cited by 332
Electrophysiological source imaging: A noninvasive window to brain dynamics
He, B., Sohrabpour, A., Brown, E., & Liu, Z. (2018) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-120853 · Cited by 297
Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling
Sinha, N., Dauwels, J., Kaiser, M., Cash, S. S., Westover, M. B., Wang, Y., & Taylor, P. N. (2016) · Brain · doi:10.1093/brain/aww299 · Cited by 254
Metadata
- Authors
- Englot, D. J., Hinkley, L. B., Kort, N. S., Imber, B. S., Mizuiri, D., Honma, S. M., Findlay, A. M., Garrett, C., Cheung, P. L., Mantle, M., Tarapore, P. E., Knowlton, R. C., Chang, E. F., Kirsch, H. E., & Nagarajan, S. S.
- Affiliations
- University of California, San Francisco (US)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-05-16
- Volume
- 138
- Issue
- 8
- Pages
- 2249-2262
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC4840946
- OpenAlex
- W2133288538
- Cited by
- 236
- References
- 66
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 23 · 2023: 23 · 2022: 23 · 2021: 23 · 2020: 29 · 2019: 22 · 2018: 23 · 2017: 21 · 2016: 18 · 2015: 2
- FWCI
- 12.82
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (1f32ns086353-01a1)
- National Institute on Deafness and Other Communication Disorders (R01DC013979)
- National Institute of Neurological Disorders and Stroke (R21 NS76171, F32-NS086353, R21NS076171)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Clinical Neurology › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- focal epilepsy, resting-state functional connectivity, neural oscillations, epileptogenic zone, epilepsy surgery, mesial temporal lobe epilepsy, seizure outcome prediction, Engel classification, seizure duration, magnetoencephalography, surgical planning
- MeSH terms
- Adult, Brain Mapping, Cerebral Cortex, Electrodes, Implanted, Epilepsies, Partial, Female, Humans, Magnetic Resonance Imaging, Male, Magnetoencephalography, Treatment Outcome
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