脑电图
神经科学
功能连接
癫痫
神经影像学
光学(聚焦)
同步脑电与功能磁共振
计算机科学
神经功能成像
心理学
人工智能
物理
光学
作者
Pieter van Mierlo,Margarita Papadopoulou,Evelien Carrette,Paul Boon,Stefaan Vandenberghe,Kristl Vonck,Daniele Marinazzo
标识
DOI:10.1016/j.pneurobio.2014.06.004
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.
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