Institute of Computer Science, Foundation for Research & Technology, Science & Technology Park of Crete, Vassilika Vouton, Heraklion, Greece.
Biomark Med. 2011 Feb;5(1):93-105. doi: 10.2217/bmm.10.121.
As the underlying causes of several neuronal disorders and neurodegenerative diseases still remain, to some extent, unknown and no accurate diagnostic tests are available, the identification of prognostic and predictive neurophysiological biomarkers has attracted tremendous interest. The continuous advancement of neuroscience methods applied in EEG and magnetoencephalography has been successful in capturing brain processes and identifying persistent cognitive deficits. In this article, the most promising approaches of this rapidly evolving field, along with some indicative clinical applications in major neuropathophysiological disorders, are reviewed. Such strategies for biomarker identification will lead the way to future clinical applications even if, currently, EEG biomarkers are in a premature state.
由于几种神经紊乱和神经退行性疾病的根本原因在某种程度上仍然未知,并且没有准确的诊断测试,因此预测和预后的神经生理学生物标志物的识别引起了极大的关注。在脑电图和脑磁图中应用的神经科学方法的不断进步成功地捕捉了大脑过程并识别出持续的认知缺陷。在本文中,回顾了这个快速发展领域中最有前途的方法,以及在主要神经病理生理障碍中的一些指示性临床应用。即使目前脑电图生物标志物处于早期阶段,这种生物标志物的识别策略也将为未来的临床应用铺平道路。