Spectral and spatial shifts of post-ictal slow waves in temporal lobe seizures
Open accessAbstract
Temporal lobe seizures have a significant chance to induce impairment of normal brain functions. Even after the termination of ictal discharges, during the post-ictal period, loss of consciousness, decreased responsiveness or other cognitive dysfunctions can persist. Previous studies have found various anatomical and functional abnormalities accompanying temporal lobe seizures, including an abnormal elevation of cortical slow waves. Intracranial electroencephalography studies have shown a prominent increase of lower frequency components during and following seizures that impair (complex partial seizures) but not those that preserve (simple partial seizures) normal consciousness and responsiveness. However, due to the limited spatial coverage of intracranial electroencephalography, the investigation of cortical slow waves cannot be easily extended to the whole brain. In this study, we used scalp electroencephalography to study the spectral features and spatial distribution of post-ictal slow waves with comprehensive spatial coverage. We studied simple partial, complex partial and secondarily generalized seizures in 28 patients with temporal lobe seizures. We used dense-array electroencephalography and source imaging to reconstruct the post-ictal slow-wave distribution. In the studied cohort, we found that a 'global' spectral power shift to lower frequencies accompanied the increased severity of seizures. The delta spectral power relative to higher frequency bands was highest for secondarily generalized seizures, followed by complex partial seizures and lastly simple partial seizures. In addition to this 'global' spectral shift, we found a 'regional' spatial shift in slow-wave activity. Secondarily generalized seizures and complex partial seizures exhibited increased slow waves distributed to frontal areas with spread to contralateral temporal and parietal regions than in simple partial seizures. These results revealed that a widespread cortical network including temporal and fronto-parietal cortex is involved in abnormal slow-wave activity following temporal lobe seizures. The differential spectral and spatial shifts of post-ictal electroencephalography activity in simple partial, complex partial and secondarily generalized seizures suggest a possible connection between cortical slow waves and behavioural and cognitive changes in a human epilepsy model.
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The theta oscillation and its role in consciousness have been characterized with electrophysiological source imaging.
“The theta oscillation and its role in consciousness have also been characterized with ESI (85).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [85]
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Cites
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371 · see citing works
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · see citing works
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553 · see citing works
Proposal for Revised Clinical and Electroencephalographic Classification of Epileptic Seizures
(1981) · Epilepsia · doi:10.1111/j.1528-1157.1981.tb06159.x · Cited by 3,433 · see citing works
Dale, A. M., & Sereno, M. I. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.2.162 · Cited by 2,003 · see citing works
Design and construction of a realistic digital brain phantom
Collins, D. L., Zijdenbos, A. P., Kollokian, V., Sled, J. G., Kabani, N. J., Holmes, C. J., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.712135 · Cited by 1,825 · see citing works
Default-mode brain dysfunction in mental disorders: A systematic review
Broyd, S. J., Demanuele, C., Debener, S., Helps, S. K., James, C. J., & Sonuga-Barke, E. J. S. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.09.002 · Cited by 1,675 · see citing works
Dynamic Brain Sources of Visual Evoked Responses
Makeig, S., Westerfield, M., Jung, T.-P., Enghoff, S., Townsend, J., Courchesne, E., & Sejnowski, T. J. (2002) · Science · doi:10.1126/science.1066168 · Cited by 1,630 · see citing works
Breakdown of cortical effective connectivity during sleep
Massimini, M., Ferrarelli, F., Huber, R., Esser, S. K., Singh, H., & Tononi, G. (2005) · Science · doi:10.1126/science.1117256 · Cited by 1,534 · see citing works
Jung, T., Makeig, S., Westerfield, M., Townsend, J., Courchesne, E., & B, T. J. S. A. (2000) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00386-2 · Cited by 1,326 · see citing works
Seber, G. A. F. (1984) · Wiley series in probability and statistics · doi:10.1002/9780470316641 · Cited by 1,254 · see citing works
Alkire, M. T., Hudetz, A. G., & Tononi, G. (2008) · Science · doi:10.1126/science.1149213 · Cited by 1,245 · see citing works
Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data
Hamalainen, M. S., & Sarvas, J. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.16463 · Cited by 989 · see citing works
Kelley, W. M., Miezin, F. M., McDermott, K. B., Buckner, R. L., Raichle, M. E., Cohen, N. J., Ollinger, J. M., Akbudak, E., Conturo, T. E., Snyder, A. Z., et al. (1998) · Neuron · doi:10.1016/s0896-6273(00)80474-2 · Cited by 823 · see citing works
Engel, J. J. (2013) · Oxford University Press eBooks · doi:10.1093/med/9780195328547.001.0001 · Cited by 713 · see citing works
Gotman, J., Grova, C., Bagshaw, A. P., Kobayashi, E., Aghakhani, Y., & Dubeau, F. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504935102 · Cited by 586 · see citing works
Spontaneous neural activity during human slow wave sleep
Dang‐Vu, T. T., Schabus, M., Desseilles, M., Albouy, G., Boly, M., Darsaud, A., Gais, S., Rauchs, G., Virginie Sterpenich, A., Vandewalle, G., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801819105 · Cited by 436 · see citing works
Single-trial EEG–fMRI reveals the dynamics of cognitive function
Debener, S., Ullsperger, M., Siegel, M., & Engel, A. K. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.09.010 · Cited by 428 · see citing works
The role of corticothalamic coupling in human temporal lobe epilepsy
Guye, M. (2006) · Brain · doi:10.1093/brain/awl151 · Cited by 417 · see citing works
Hofle, N., Paus, T., Reutens, D. C., Fiset, P., Gotman, J., Evans, A. C., & Jones, B. E. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-12-04800.1997 · Cited by 360 · see citing works
Electric Dipole Tracing in the Brain by Means of the Boundary Element Method and Its Accuracy
He, B., Musha, T., Okamoto, Y., Homma, S., Nakajima, Y., & Sato, T. (1987) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1987.326056 · Cited by 334 · see citing works
Self-citationCortical and subcortical networks in human secondarily generalized tonic–clonic seizures
Blumenfeld, H., Varghese, G. I., Purcaro, M. J., Motelow, J. E., Enev, M., McNally, K. A., Levin, A. R., Hirsch, L. J., Tikofsky, R. S., Zubal, I. G., et al. (2009) · Brain · doi:10.1093/brain/awp028 · Cited by 327 · see citing works
Bai, X., Vestal, M. L., Berman, R., Negishi, M., Spann, M. N., Vega, C., Desalvo, M. N., Novotny, E. J., Constable, R. T., & Blumenfeld, H. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5101-09.2010 · Cited by 308 · see citing works
An improved boundary element method for realistic volume-conductor modeling
Fuchs, M., Drenckhahn, R., Wischmann, H.-A., & Wagner, M. (1998) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.704867 · Cited by 299 · see citing works
Hepatic Coma: The Electroencephalographic Pattern
Bickford, R. G., & Butt, H. R. (1955) · Journal of Clinical Investigation · doi:10.1172/jci103134 · Cited by 292 · see citing works
Arthuis, M., Valton, L., Régis, J. M., Chauvel, P., Wendling, F., Naccache, L., Bernard, C., & Bartoloméi, F. (2009) · Brain · doi:10.1093/brain/awp086 · Cited by 257 · see citing works
Jackson, S. (2001) · Cited by 247 · see citing works
Cluster Dissection and Analysis: Theory, Fortran Programs, Examples.
Murtagh, F. D., & Spath, H. (1986) · Biometrics · doi:10.2307/2531267 · Cited by 245 · see citing works
Impaired consciousness in temporal lobe seizures: role of cortical slow activity
Englot, D. J., Yang, L., Altalib, H. H., Danielson, N., Bai, X., Marfeo, A., Yu, L., Gordon, A. S., Purcaro, M. J., Motelow, J. E., et al. (2010) · Brain · doi:10.1093/brain/awq316 · Cited by 229 · see citing works
Self-citationGrouiller, F., Thornton, R. C., Groening, K., Spinelli, L., Duncan, J. S., Schaller, K., Siniatchkin, M., Lemieux, L., Seeck, M., Michel, C. M., et al. (2011) · Brain · doi:10.1093/brain/awr156 · Cited by 199 · see citing works
Laufs, H., Lengler, U., Hamandi, K., Kleinschmidt, A. K., & Krakow, K. (2006) · Epilepsia · doi:10.1111/j.1528-1167.2006.00443.x · Cited by 199 · see citing works
Liu, X., Zhu, X.-H., Zhang, Y., & Chen, W. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq105 · Cited by 166 · see citing works
Neuronal networks in children with continuous spikes and waves during slow sleep
Siniatchkin, M., Groening, K., Moehring, J., Moeller, F., Boor, R., Brodbeck, V., Michel, C. M., Rodionov, R., Lemieux, L., & Stephani, U. (2010) · Brain · doi:10.1093/brain/awq183 · Cited by 160 · see citing works
The Postictal State: A Neglected Entity in the Management of Epilepsy
Fisher, R. S., & Schachter, S. C. (2000) · Epilepsy & Behavior · doi:10.1006/ebeh.2000.0023 · Cited by 158 · see citing works
Ictal neocortical slowing in temporal lobe epilepsy
Blumenfeld, H., Rivera, M., McNally, K. A., Davis, K. A., Spencer, D. D., & Spencer, S. S. (2004) · Neurology · doi:10.1212/01.wnl.0000141086.91077.cd · Cited by 148 · see citing works
Upregulation of opioid receptor binding following spontaneous epileptic seizures
Hammers, A., Asselin, M., Hinz, R., Kitchen, I., Brooks, D. J., Duncan, J. S., & Koepp, M. J. (2007) · Brain · doi:10.1093/brain/awm012 · Cited by 113 · see citing works
Pathophysiology of altered consciousness during seizures
Lee, K., Meador, K. J., Park, Y. D., King, D. W., Murro, A. M., Pillai, J. J., & Kaminski, R. J. (2002) · Neurology · doi:10.1212/wnl.59.6.841 · Cited by 96 · see citing works
Interictal regional delta slowing is an EEG marker of epileptic network in temporal lobe epilepsy
Tao, J. X., Chen, X., Baldwin, M., et al. (2011) · Epilepsia · doi:10.1111/j.1528-1167.2010.02918.x · Cited by 88 · see citing works
Lux, S. (2002) · Brain · doi:10.1093/brain/awf276 · Cited by 87 · see citing works
Independent Component Analysis of Ictal EEG in Medial Temporal Lobe Epilepsy
Nam, H., Yim, T. G., Han, S. K., Oh, J., & Lee, S. K. (2002) · Epilepsia · doi:10.1046/j.1528-1157.2002.23501.x · Cited by 80 · see citing works
Burst Activation of the Cerebral Cortex by Flash Stimuli during Isoflurane Anesthesia in Rats
Hudetz, A. G., & Imas, O. A. (2007) · Anesthesiology · doi:10.1097/01.anes.0000291471.80659.55 · Cited by 79 · see citing works
Cluster Dissection and Analysis; Theory, FORTRAN Programs, Examples.
Flury, B. N., & Spath, H. (1986) · Mathematics of Computation · doi:10.2307/2008198 · Cited by 75 · see citing works
Suppressing consciousness: Mechanisms of general anesthesia
Hudetz, A. G. (2006) · Seminars in Anesthesia Perioperative Medicine and Pain · doi:10.1053/j.sane.2006.09.003 · Cited by 73 · see citing works
Asymmetry in delta activity in patients with focal epilepsy
Panet-Raymond, D., & Gotman, J. (1990) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(90)90134-6 · Cited by 61 · see citing works
Lateralized Postictal EEG Delta Predicts the Side of Seizure Surgery in Temporal Lobe Epilepsy
Jan, M. M. S., Sadler, M., & Rahey, S. R. (2001) · Epilepsia · doi:10.1046/j.1528-1157.2001.45999.x · Cited by 43 · see citing works
Jung, K., Kang, J.-K., Kim, J. H., Im, C., Kim, K. H., & Jung, H. (2009) · Brain Research · doi:10.1016/j.brainres.2009.06.071 · Cited by 33 · see citing works
EEG-fMRI reciprocal functional neuroimaging
Yang, L., Liu, Z., & He, B. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.02.153 · Cited by 31 · see citing works
Self-citationSWARM: sLORETA-weighted accurate minimum norm inverse solutions
Wagner, M., Fuchs, M., & Kastner, J. (2007) · International Congress Series · doi:10.1016/j.ics.2007.02.043 · Cited by 28 · see citing works
The clinical and prognostic relevance of the postictal slow focus in the electrocorticogram
Hufnagel, A., Poersch, M., Elger, C. E., et al. (1995) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(94)00229-e · Cited by 20 · see citing works
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Research works printed but not linked: 2
- Lux S, Kurthen M, Helmstaedter C, Hartje W, Reuber M, Elger CE. The localizing value of ictal consciousness and its constituent functions. Brain 2002; 125: 2691.
- Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, GusnardDA SGL. Adefaultmodeof brain function. PNAS USA 2001; 98: 676-82.
Cited by
Sorted by citations
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 · see citing works
Self-citationSohrabpour, A., Ye, S., Worrell, G. A., Zhang, W., & He, B. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2616474 · Cited by 59 · see citing works
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- Authors
- Yang, L., Worrell, G. A., Nelson, C., Brinkmann, B., & He, B.
- Affiliations
- University of Minnesota (US)
- Mayo Clinic (US)
- Corresponding author
- He, Bin
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-08-24
- Volume
- 135
- Issue
- 10
- Pages
- 3134-3143
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC3470709
- OpenAlex
- W2164085110
- Cited by
- 42
- References
- 49
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 1 · 2022: 7 · 2021: 3 · 2020: 3 · 2019: 2 · 2018: 2 · 2017: 7 · 2016: 4 · 2015: 3 · 2014: 1 · 2013: 1
- FWCI
- 1.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Brain (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (RO1 EB007920, RO1 EB006433, RO1 NS063039)
- National Science Foundation (CBET-0933067)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- temporal lobe epilepsy, complex partial seizures, simple partial seizures, secondary generalized seizures, frontal cortex, frontoparietal network, seizure severity
- MeSH terms
- Adult, Electroencephalography, Epilepsy, Temporal Lobe, Humans, Nerve Net, Neuropsychological Tests, Temporal Lobe, Time Factors, Brain Waves
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