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Localization of alpha activity in humans using EEG and functional MRI.

机译:使用脑电图和功能性MRI在人体内进行alpha活性定位。

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摘要

The objective of this dissertation is to image neuronal generators of spontaneous alpha rhythm in human brain. We have developed two different approaches: (i) using individual EEG (electroencephalography) measurements, and (ii) using concurrent measurements of EEG and fMRI (functional magnetic resonance imaging).; For our EEG study, we have developed a distributed-source imaging approach in frequency-domain. Generators of spontaneous activity are characterized by a specific frequency range, and therefore, a frequency-domain approach may be more accurate than a time-domain model. We carried out a frequency-domain analysis of alpha activity (8-12 Hz) under the assumption of synchronous sources. Since the alpha rhythm is probably produced by several independent generators, a distributed-source imaging approach was considered more appropriate than a multiple equivalent dipole model. This imaging approach was based on the generalized maximum entropy principle. The reconstructed sources were superposed on corresponding anatomical images obtained using MRI.; The central premise of the second technique to localize alpha activity using fMRI derives from the reported reductions in local glucose metabolism and local blood flow in regions associated with alpha activity. If the decrease in oxygen consumption is not commensurate with the decrease in blood flow (a situation akin to regular fMRI but in the opposite direction) then the measured signal will reduce in accordance with the BOLD (blood oxygenation level dependent) effect. Also, the reduction in blood flow could produce a negative in-flow signal. Thus, the combined negative BOLD/in-flow effect would reduce the fMR signal during alpha activity. To monitor alpha activity during fMRI study, we performed fMRI and EEG experiments simultaneously, where we recorded the EEG activity at two electrode locations near the occipital region. The alpha spectral power was then used to design a proper reference function and to construct a functional image revealing negative BOLD/in-flow signal. This functional image was superposed on corresponding anatomy to depict functional/structural relationships.; Both of our approaches found the highest concentration of alpha generators in occipital and parietal lobe areas at or near the parieto-occipital sulcus, middle occipital gyrus, cuneus, cingulate gyrus and precuneus (brain areas 18 and 19).
机译:本文的目的是为人脑中自发性α节律的神经元生成器成像。我们开发了两种不同的方法:(i)使用单独的EEG(脑电图)测量,以及(ii)使用同时测量的EEG和fMRI(功能磁共振成像)。对于我们的脑电图研究,我们开发了一种频域上的分布式源成像方法。自发活动的生成器以特定的频率范围为特征,因此,频域方法可能比时域模型更准确。在同步源的假设下,我们对α活性(8-12 Hz)进行了频域分析。由于阿尔法节奏可能是由几个独立的发生器产生的,因此,分布式源成像方法被认为比多重等效偶极子模型更为合适。这种成像方法基于广义最大熵原理。重建的源叠加在使用MRI获得的相应解剖图像上。使用fMRI定位alpha活性的第二种技术的中心前提源自所报道的与alpha活性相关的区域局部葡萄糖代谢和局部血流减少的报道。如果耗氧量的减少与血流量的减少不相称(类似于正常的功能磁共振成像,但方向相反),则测得的信号将根据BOLD(取决于血氧水平)而减少。同样,血流减少可能会产生负的流入信号。因此,组合的负大胆/流入效应将降低α活动期间的fMR信号。为了在功能磁共振成像研究期间监测α活性,我们同时进行了功能磁共振成像和脑电图实验,我们在枕骨区域附近的两个电极位置记录了脑电图活动。然后使用alpha光谱功率设计适当的参考功能,并构建显示负BOLD /流入信号的功能图像。该功能图像叠加在相应的解剖结构上以描绘功能/结构关系。我们的两种方法都在顶枕沟,顶枕中回,楔形,扣带回和早中神经(大脑区域18和19)处或附近的枕叶和顶叶区域发现了最高浓度的α生成物。

著录项

  • 作者

    Patel, Pankaj B.;

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Engineering Biomedical.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 127 p.
  • 总页数 127
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;
  • 关键词

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