迈向非侵入性表征个体受试者的人类前额视野的一步。

Andreas A Ioannides, Peter Bc Fenwick, Elina Pitri, Lichan Liu
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引用次数: 6

摘要

背景:识别额叶中与眼球运动相关的区域有着悠久的历史,在猴子身上的微刺激产生了最明确的结果。然而,对于人类来说,关于前额视野(FEF)的位置和范围仍然没有共识。也没有简单的非侵入性方法来明确定义个体受试者的FEF,这是临床应用的先决条件。在这里,我们探索使用脑磁图(MEG)对个体受试者的FEF活动进行非侵入性识别和表征。方法:采用层析方法对脑电数据进行快速扫视前、中、后的脑活动分析。统计参数图和循环统计产生了可信的FEF位点,但对个体受试者没有明确的定义。本文首先计算了脑激活层析成像的频谱分解及其与眼电图(EOG)的相关性。对于这两种方法中的每一种,在不同的扫视之间进行了统计比较。结果:在本文中,我们首先回顾了在早期动物和人类研究中发现的额叶皮层激活,并将假定的人类FEFs置于定义良好的解剖学框架中。然后,这个框架被用作描述比较活动扫视任务及其控制的层析成像解决方案的新傅里叶分析结果的参考。对于左扫视和右扫视来说,前额叶背皮层最一致的变化是在假定的左FEF。不对称的结果与单向胼胝体交通理论一致。我们还发现,新的相关分析在对侧假定FEF中具有最一致的变化。这个结果是在眼跳开始前的EOG延迟中获得的,延迟为几百毫秒(FEF活动导致EOG),并且仅用于在先前定义的眼跳方向上发出眼跳执行信号的视觉线索。结论:来自微刺激的FEF定义只描述了前额叶背外侧共同计划、准备和执行扫视的一个区域。个体受试者的这些区域的定义和特征可以通过非侵入性脑磁图测量获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A step towards non-invasive characterization of the human frontal eye fields of individual subjects.

Background: Identifying eye movement related areas in the frontal lobe has a long history, with microstimulation in monkeys producing the most clear-cut results. For humans, however, there is still no consensus about the location and the extent of the frontal eye field (FEF). There is also no simple non-invasive method for unambiguously defining the FEF in individual subjects, a prerequisite for clinical applications. Here we explore the use of magnetoencephalography (MEG) for the non-invasive identification and characterization of FEF activity in an individual subject.

Methods: We mapped human brain activity before, during and after saccades by applying tomographic analysis to MEG data. Statistical parametric maps and circular statistics produced plausible FEF loci, but no unambiguous definition for individual subjects. Here we first computed the spectral decomposition and correlation with electrooculogram (EOG) of the tomographic brain activations. For each of these two measures statistical comparisons were made between different saccades.

Results: In this paper, we first review the frontal cortex activations identified in earlier animal and human studies and place the putative human FEFs in a well-defined anatomical framework. This framework is then used as reference for describing the results of new Fourier analysis of the tomographic solutions comparing active saccade tasks and their controls. The most consistent change in the dorsal frontal cortex was at the putative left FEF, for both saccades to the left and right. The asymmetric result is consistent with the 1-way callosal traffic theory. We also showed that the new correlation analysis had its most consistent change in the contralateral putative FEF. This result was obtained for EOG latencies before saccade onset with delays of a few hundreds of milliseconds (FEF activity leading the EOG) and only for visual cues signaling the execution of a saccade in a previously defined saccade direction.

Conclusions: The FEF definition derived from microstimulation describes only one of the areas in the dorsal lateral frontal lobe that act together to plan, prepare and execute a saccade. The definition and characterization of these areas in an individual subject can be obtained from non-invasive MEG measurements.

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