Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-27T01:38:54.907Z Has data issue: false hasContentIssue false

Chapter 10 - Interictal and Ictal Brain Network Changes in Focal Epilepsy

from Part II - Modeling Epileptogenic Lesions and Mapping Networks

Published online by Cambridge University Press:  07 January 2019

By
Mangor Pedersen ,
Amir Omidvarnia  and
Graeme D. Jackson
Edited by
Andrea Bernasconi ,
Neda Bernasconi  and
Matthias Koepp
Andrea Bernasconi
Affiliation:
Montreal Neurological Institute, McGill University
Neda Bernasconi
Affiliation:
Montreal Neurological Institute, McGill University
Matthias Koepp
Affiliation:
Institute of Neurology, University College London
Get access
Type
Chapter
Information
Imaging Biomarkers in Epilepsy , pp. 108 - 114
Publisher: Cambridge University Press
Print publication year: 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Berg, AT, Berkovic, SF, Brodie, MJ, et al. Revised terminology and concepts for organization of seizures and epilepsies: report of the ILAE Commission on Classification and Terminology, 2005–2009. Epilepsia. 2010;51:676–85.CrossRefGoogle ScholarPubMed
Fisher, RS, van Emde Boas, W, Blume, W, et al. Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia. 2005;46:470–2.Google Scholar
Sporns, O, Tononi, G, Kötter, R. The human connectome: a structural description of the human brain. PLOS Comput Biol. 2005;1:e42.Google Scholar
Van Essen, DC, Ugurbil, K, Auerbach, E, et al. The Human Connectome Project: a data acquisition perspective. NeuroImage. 2012;62:2222–31.Google Scholar
Van Essen, DC, Ugurbil, K. The future of the human connectome. NeuroImage. 2012;62:1299–310.Google Scholar
Bullmore, E, Sporns, O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009;10:186–98.Google ScholarPubMed
Rubinov, M, Sporns, O. Complex network measures of brain connectivity: uses and interpretations. NeuroImage. 2010;52:1059–69.Google Scholar
Bernhardt, BC, Chen, Z, He, Y, Evans, AC, Bernasconi, N. Graph-theoretical analysis reveals disrupted small-world organization of cortical thickness correlation networks in temporal lobe epilepsy. Cereb Cortex. 2011;21:2147–57.Google Scholar
Doucet, GE, Rider, R, Taylor, N, et al. Presurgery resting-state local graph-theory measures predict neurocognitive outcomes after brain surgery in temporal lobe epilepsy. Epilepsia. 2015;56:517–26.Google Scholar
Haneef, Z, Chiang, S. Clinical correlates of graph theory findings in temporal lobe epilepsy. Seizure. 2014;23:809–18.Google Scholar
Liao, W, Zhang, Z, Pan, Z, et al. Altered functional connectivity and small-world in mesial temporal lobe epilepsy. PLOS ONE. 2014;5:e8525.Google Scholar
Pedersen, M, Omidvarnia, AH, Walz, JM, Jackson, GD. Increased segregation of brain networks in focal epilepsy: An fMRI graph theory finding. NeuroImage Clin. 2015;8:536–42.CrossRefGoogle ScholarPubMed
Vaessen, MJ, Braakman, HMH, Heerink, JS, et al. Abnormal modular organization of functional networks in cognitively impaired children with frontal lobe epilepsy. Cereb Cortex. 2013;23:1997–2006.Google Scholar
van Dellen, E, Douw, L, Baayen, JC, et al. Long-term effects of temporal lobe epilepsy on local neural networks: a graph theoretical analysis of corticography recordings. PLOS ONE. 2009;4:e8081.Google Scholar
Vlooswijk, MCG, Vaessen, MJ, Jansen, JFA, et al. Loss of network efficiency associated with cognitive decline in chronic epilepsy. Neurology. 2011;77:938–44.Google Scholar
van Diessen, E, Zweiphenning, WJEM, Jansen, FE, et al. Brain network organization in focal epilepsy: a systematic review and meta-analysis. PLOS ONE. 2014;9:e114606.CrossRefGoogle ScholarPubMed
Bondy, A, Murty, USR. Graph Theory. 1st corrected ed. New York: Springer; 2008.Google Scholar
Watts, DJ, Strogatz, SH. Collective dynamics of “small-world” networks. Nature. 1998;393:440–2.Google Scholar
Otte, WM, Dijkhuizen, RM, van Meer, MPA, et al. Characterization of functional and structural integrity in experimental focal epilepsy: reduced network efficiency coincides with white matter changes. PLOS ONE. 2012;7:e39078.Google Scholar
Sethi, M, Pedersen, M, Jackson, GD. Polymicrogyric cortex may predispose to seizures via abnormal network topology: an fMRI connectomics study. Epilepsia. 2016;57:e64–8.Google Scholar
Guerrini, R. Polymicrogyria and epilepsy. Epilepsia. 2010;51:10–2.CrossRefGoogle ScholarPubMed
Archer, JS, Warren, AEL, Stagnitti, MR, et al. Lennox-Gastaut syndrome and phenotype: secondary network epilepsies. Epilepsia. 2014;55:1245–54.Google Scholar
Berkovic, SF, Arzimanoglou, A, Kuzniecky, R, et al. Hypothalamic hamartoma and seizures: a treatable epileptic encephalopathy. Epilepsia. 2003;44:969–73.Google Scholar
Le Van Quyen, M, Navarro, V, Martinerie, J, Baulac, M, Varela, FJ. Toward a neurodynamical understanding of ictogenesis. Epilepsia. 2003;44(suppl 12):30–43.Google Scholar
Ibrahim, GM, Cassel, D, Morgan, BR, et al. Resilience of developing brain networks to interictal epileptiform discharges is associated with cognitive outcome. Brain J Neurol. 2014;137:2690–702.Google Scholar
Kramer, MA, Eden, UT, Kolaczyk, ED, et al. Coalescence and fragmentation of cortical networks during focal seizures. J Neurosci. 2010;30:10076–85.Google Scholar
Schindler, KA, Bialonski, S, Horstmann, MT, Elger, CE, Lehnertz, K. Evolving functional network properties and synchronizability during human epileptic seizures. Chaos. 2008;18:033119.Google Scholar
Warren, CP, Hu, S, Stead, M, et al. Synchrony in normal and focal epileptic brain: the seizure onset zone is functionally disconnected. J Neurophysiol. 2010;104:3530–9.Google Scholar
Khambhati, A, Litt, B, Bassett, DS. Dynamic network drivers of seizure generation, propagation and termination in human epilepsy. PLOS Comput Biol. 2015;1004608.Google Scholar
Bullmore, E, Sporns, O. The economy of brain network organization. Nat Rev Neurosci. 2012;13:336–49.Google Scholar
Laufs, H, Richardson, MP, Salek-Haddadi, A, et al. Converging PET and fMRI evidence for a common area involved in human focal epilepsies. Neurology. 2011;77:904–10.Google Scholar
Fahoum, F, Lopes, R, Pittau, F, Dubeau, F, Gotman, J. Widespread epileptic networks in focal epilepsies: EEG-fMRI study. Epilepsia. 2012;53:1618–27.Google Scholar
Flanagan, D, Badawy, RAB, Jackson, GD. EEG-fMRI in focal epilepsy: local activation and regional networks. Clin Neurophysiol. 2014;125:21–31.Google Scholar
Piredda, G. A crucial epileptogenic site in the deep prepiriform cortex. Nature. 1985;317:623–5.Google Scholar
Pedersen, M, Curwood, EK, Vaughan, DN, Omidvarnia, AH, Jackson, GD. Abnormal brain areas common to the focal epilepsies: multivariate pattern analysis of fMRI. Brain Connect. 2016;6:208–15.Google Scholar
Berg, AT. Epilepsy, cognition, and behavior: the clinical picture. Epilepsia. 2011;52:7–12.Google Scholar
Wilson, SJ, Baxendale, S. The new approach to classification: rethinking cognition and behavior in epilepsy. Epilepsy Behav. 2014;41:307–10.Google Scholar
Taylor, J, Kolamunnage-Dona, R, Marson, AG, et al. Patients with epilepsy: cognitively compromised before the start of antiepileptic drug treatment? Epilepsia. 2010;51:48–56.CrossRefGoogle ScholarPubMed
Thompson, PJ, Duncan, JS. Cognitive decline in severe intractable epilepsy. Epilepsia. 2005;46:1780–7.Google Scholar
Keezer, MR, Sisodiya, SM, Sander, JW. Comorbidities of epilepsy: current concepts and future perspectives. Lancet Neurol. 2016;15:106–15.Google Scholar
Jokeit, H, Okujava, M, Woermann, FG. Memory fMRI lateralizes temporal lobe epilepsy. Neurology. 2001;57:1786–93.Google Scholar
Pardoe, HR, Berg, AT, Jackson, GD. Sodium valproate use is associated with reduced parietal lobe thickness and brain volume. Neurology. 2013;80:1895–900.Google Scholar
Yasuda, CL, Centeno, M, Vollmar, C, et al. The effect of topiramate on cognitive fMRI. Epilepsy Res. 2013;105:250–5.Google Scholar
Orrù, G, Pettersson-Yeo, W, Marquand, AF, Sartori, G, Mechelli, A. Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review. Neurosci Biobehav Rev. 2012;36:1140–52.Google Scholar
Pereira, F, Mitchell, T, Botvinick, M. Machine learning classifiers and fMRI: a tutorial overview. NeuroImage. 2009;45:S199–209.Google Scholar
Richiardi, J, Achard, S, Bunke, H, Van De Ville, D. Machine learning with brain graphs: predictive modeling approaches for functional imaging in systems neuroscience. IEEE Signal Process Mag. 2013;30:58–70.Google Scholar
Schrouff, J, Rosa, MJ, Rondina, JM, et al. PRoNTo: pattern recognition for neuroimaging toolbox. Neuroinformatics. 2013;11:319–33.Google Scholar
Cristianini, N, Shawe-Taylor, J. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge: Cambridge University Press; 2000.Google Scholar
Rasmussen, PM, Hansen, LK, Madsen, KH, Churchill, NW, Strother, SC. Model sparsity and brain pattern interpretation of classification models in neuroimaging. Pattern Recognit Brain Decoding. 2012;45:2085–100.Google Scholar
Bernhardt, BC, Hong, SJ, Bernasconi, A, Bernasconi, N. Magnetic resonance imaging pattern learning in temporal lobe epilepsy: classification and prognostics. Ann Neurol. 2015;77:436–46.Google Scholar
Pedersen, M, Curwood, EK, Archer, JS, Abbott, DF, Jackson, GD. Brain regions with abnormal network properties in severe epilepsy of Lennox-Gastaut phenotype: multivariate analysis of task-free fMRI. Epilepsia. 2015a;56:1767–73.Google Scholar
Yang, Z, Choupan, J, Reutens, D, Hocking, J. Lateralization of temporal lobe epilepsy based on resting-state functional magnetic resonance imaging and machine learning. Front Neurol. 2015;6:184.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×