Hsiao Fu-Jung, Chen Wei-Ta, Wang Yuh-Jen, Yan Sui-Hing, Lin Yung-Yang
Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan; Department of Education and Research, Taipei City Hospital, Taipei, Taiwan; Department of Neurology, Taipei City Hospital, Taipei, Taiwan; Laboratory of Neurophysiology, Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei, Taiwan.
Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan; Department of Neurology, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan.
Neurosci Lett. 2014 Jan 13;558:47-52. doi: 10.1016/j.neulet.2013.10.056. Epub 2013 Nov 7.
Although the altered coherence between cortical areas in Alzheimer's disease (AD) has been widely studied, it remains unclear whether the source-based coherence measures within sensorimotor network show significant difference between mild cognitive impairment (MCI) and AD. In the present study, resting-state electroencephalographic signals were recorded from 21 MCI and 21 mild AD patients. The spectral power and coherence in the sensorimotor areas were analyzed using the minimum norm estimate (MNE) combined with fast Fourier transform and coherence analysis in delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta (13-25 Hz), and gamma (25-40 Hz) bands. Our results indicated that source-based coherence in AD showed increased delta coherences between the bilateral precentral, left supplementary motor area (SMA) and right precentral, and left SMA and right postcentral areas. However, no significant difference of spectral powers was observed between AD and MCI. To conclude, the phenotype conversion from MCI to AD may be associated with an altered connectivity of the sensorimotor cortical network. This is a promising finding; however, further large-scale studies are needed.
尽管阿尔茨海默病(AD)中皮质区域间改变的相干性已得到广泛研究,但尚不清楚感觉运动网络内基于源的相干性测量在轻度认知障碍(MCI)和AD之间是否存在显著差异。在本研究中,记录了21名MCI患者和21名轻度AD患者的静息态脑电图信号。使用最小范数估计(MNE)结合快速傅里叶变换和相干分析,分析了感觉运动区域在δ(1 - 4 Hz)、θ(4 - 8 Hz)、α(8 - 13 Hz)、β(13 - 25 Hz)和γ(25 - 40 Hz)频段的频谱功率和相干性。我们的结果表明,AD中基于源的相干性显示双侧中央前回、左侧辅助运动区(SMA)与右侧中央前回、左侧SMA与右侧中央后回区域之间的δ相干性增加。然而,AD和MCI之间未观察到频谱功率的显著差异。总之,从MCI到AD的表型转换可能与感觉运动皮质网络连接性的改变有关。这是一个有前景的发现;然而,还需要进一步的大规模研究。