Modeling Transient Oscillations in the EEG of Patients with Mild Cognitive Impairment

摘要：

We explore the potential of transient local synchrony in EEG, as a marker for MCI (mild cognitive impairment). EEG signals of patients with MCI are transformed to a wavelet time-frequency representation, and afterwards a sparsification process (bump modeling) extracts time-frequency oscillatory bursts. We observed that organized oscillatory events contain stronger discriminative signatures than averaged spectral EEG statistics for patients in a probable early stage of Alzheimers disease. Specifically, bump modeling enhanced the difference between MCI patients and age-matched control subjects in the 0 and high fi frequency ranges. This effect is consistent with previous results obtained on other databases.

作者: Francois-Benoit Vialatte Jordi Sole-Casals Aurelien Hazart David Prvulovic Justin Dauwels Johannes Pantel Corinna Haenschel Andrzej Cichocki

作者单位: Laboratory for Advanced Brain Signal Processing, RIKEN BSI, Saitama, Japan

会议类型: 国际会议

会议名称: The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)

会议地点: 杭州

会议语种:英文

页码: 723-728

在线出版日期: 2009-11-15（万方平台首次上网日期，不代表论文的发表时间）