EEG functional connectivity, axon delays and white matter disease.
EEG functional connectivity, axon delays and white matter disease.
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DOI：
10.1016/j.clinph.2014.04.003
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发表时间：
2015-01
期刊：
影响因子：
--
通讯作者：
Fields RD
中科院分区：
文献类型：
--
作者：
Nunez PL;Srinivasan R;Fields RD
大脑的结构连接和功能连接都与白质疾病密切相关。我们讨论了神经学家、神经外科医生、放射科医生和非临床神经学家可能感兴趣的几个这样的链接。将大脑视为真正的复杂系统表明，主要强调大脑连接和动态行为的多尺度性质。局部、区域和全球网络的跨尺度相互作用显然是脑电振荡行为的主要原因。有限的轴突传播速度，在局部网络模型中通常被认为是无限的，是我们概念框架的核心。髓鞘控制轴突的速度，而远距离皮质区域之间的冲动交流的同步性似乎对最佳的精神表现和学习至关重要。一些实验表明，轴突传导速度是可塑性的，从而改变了促进远程局部网络绑定的区域和全局白质连接。结合EEG和高分辨率EEG可以通过频率和相位谱、协方差和相干性等测量提供对健康和疾病大脑的功能连通性的不同多尺度估计。白质疾病可能会严重扰乱正常的脑电相干模式，但目前此类研究在科学实验室中很少见，基本上没有临床环境。
Both structural and functional brain connectivities are closely linked to white matter disease. We discuss several such links of potential interest to neurologists, neurosurgeons, radiologists, and non-clinical neuroscientists. Treatment of brains as genuine complex systems suggests major emphasis on the multi-scale nature of brain connectivity and dynamic behavior. Cross-scale interactions of local, regional, and global networks are apparently responsible for much of EEG's oscillatory behaviors. Finite axon propagation speed, often assumed to be infinite in local network models, is central to our conceptual framework. Myelin controls axon speed, and the synchrony of impulse traffic between distant cortical regions appears to be critical for optimal mental performance and learning. Several experiments suggest that axon conduction speed is plastic, thereby altering the regional and global white matter connections that facilitate binding of remote local networks. Combined EEG and high resolution EEG can provide distinct multi-scale estimates of functional connectivity in both healthy and diseased brains with measures like frequency and phase spectra, covariance, and coherence. White matter disease may profoundly disrupt normal EEG coherence patterns, but currently these kinds of studies are rare in scientific labs and essentially missing from clinical environments.
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影响因子：
19.9
作者：
Bassett, Danielle S.;Gazzaniga, Michael S.
通讯作者：
Gazzaniga, Michael S.
影响因子：
16.2
作者：
Buzsáki G;Logothetis N;Singer W
通讯作者：
Singer W
DOI：
10.1016/j.ijdevneu.2010.03.004
发表时间：
2010-08-01
影响因子：
1.8
作者：
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通讯作者：
Seress, Laszlo
影响因子：
2.4
作者：
Ebersole, JS
通讯作者：
Ebersole, JS
DOI：
10.1016/0013-4694(65)90088-x
发表时间：
1965-01-01
期刊：
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY
影响因子：
--
作者：
COOPER, R;WINTER, AL;WALTER, WG
通讯作者：
WALTER, WG