Functional brain connectivity from EEG in epilepsy: Seizure prediction and epileptogenic focus localization

被引:200
作者
van Mierlo, Pieter [1 ]
Papadopoulou, Margarita [2 ]
Carrette, Evelien [3 ]
Boon, Paul [3 ]
Vandenberghe, Stefaan [1 ]
Vonck, Kristl [3 ]
Marinazzo, Daniele [2 ]
机构
[1] Univ Ghent, Dept Elect & Informat Syst, Med Imaging & Signal Proc Grp, iMinds Med IT Dept, B-9000 Ghent, Belgium
[2] Univ Ghent, Fac Psychol & Pedag Sci, Dept Data Anal, B-9000 Ghent, Belgium
[3] Univ Ghent, Lab Clin & Expt Neurophysiol Neurobiol & Neuropsy, B-9000 Ghent, Belgium
关键词
Functional brain connectivity; EEG; Epilepsy; Seizure prediction; Epileptogenic focus localization; Epileptic networks; TEMPORAL-LOBE EPILEPSY; GRAPH-THEORETICAL ANALYSIS; PRESURGICAL EVALUATION; SYNCHRONIZATION CHANGES; NONLINEAR CAUSALITY; DIRECTED COHERENCE; LINEAR-DEPENDENCE; GRANGER CAUSALITY; SPECTRAL-ANALYSIS; NETWORK TOPOLOGY;
D O I
10.1016/j.pneurobio.2014.06.004
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Today, neuroimaging techniques are frequently used to investigate the integration of functionally specialized brain regions in a network. Functional connectivity, which quantifies the statistical dependencies among the dynamics of simultaneously recorded signals, allows to infer the dynamical interactions of segregated brain regions. In this review we discuss how the functional connectivity patterns obtained from intracranial and scalp electroencephalographic (EEG) recordings reveal information about the dynamics of the epileptic brain and can be used to predict upcoming seizures and to localize the seizure onset zone. The added value of extracting information that is not visibly identifiable in the EEG data using functional connectivity analysis is stressed. Despite the fact that many studies have showed promising results, we must conclude that functional connectivity analysis has not made its way into clinical practice yet. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:19 / 35
页数:17
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