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首页> 外文期刊>Journal of Cognitive Neuroscience >Brain Oscillatory Activity during Spatial Navigation: Theta and Gamma Activity Link Medial Temporal and Parietal Regions
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Brain Oscillatory Activity during Spatial Navigation: Theta and Gamma Activity Link Medial Temporal and Parietal Regions

机译:空间导航期间的脑震荡活动:Theta和Gamma活动链接内侧颞叶和顶叶区域

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Brain oscillatory correlates of spatial navigation were investigatednusing blind source separation (BSS) and standardizednlow resolution electromagnetic tomography (sLORETA) analysesnof 62-channel EEG recordings. Twenty-five participants wereninstructed to navigate to distinct landmark buildings in a previouslynlearned virtual reality town environment. Data fromnperiods of navigation between landmarks were subject to BSSnanalyses to obtain source components. Two of these corticalnsources were found to exhibit significant spectral power differencesnduring navigation with respect to a resting eyes openncondition and were subject to source localization using sLORETA.nThese two sources were localized as a right parietal componentnwith gamma activation and a right medial-temporal–parietalncomponent with activation in theta and gamma bandwidths.nThe parietal gamma activity was thought to reflect visuospatialnprocessing associated with the task. The medial-temporal–nparietal activity was thought to be more specific to the navigationalnprocessing, representing the integration of ego- andnallo-centric representations of space required for successfulnnavigation, suggesting theta and gamma oscillations may havena role in integrating information from parietal and medialtemporalnregions. Theta activity on this medial-temporal–parietalnsource was positively correlated with more efficient navigationnperformance. Results are discussed in light of the depth andnproposed closed field structure of the hippocampus and potentialnimplications for scalp EEG data. The findings of the presentnstudy suggest that appropriate BSS methods are ideally suitednto minimizing the effects of volume conduction in noninvasivenrecordings, allowing more accurate exploration of deep brainnprocesses.
机译:使用盲源分离(BSS)和标准的低分辨率电磁层析成像(sLORETA)分析了62通道EEG记录,研究了空间导航的大脑振荡相关性。 25名参与者被指示在先前学习的虚拟现实城镇环境中导航到不同的地标建筑。来自地标之间的导航周期的数据经过BSS分析以获取源分量。发现这些皮质激素来源中有两个在导航中表现出明显的频谱功率差异,这取决于静止的眼睛睁开情况,并使用sLORETA进行了源定位。n这两个来源被定位为具有伽马活化的右顶叶成分和具有右旋颞叶-顶叶成分的右耳顶成分。 n顶叶伽马活动被认为反映了与任务相关的视觉空间处理。认为颞中脑顶活动更特定于导航过程,代表了成功导航所需空间的以自我和神经中心表示的整合,这表明θ和伽马振荡可能在整合顶叶和颞中脑区域的信息中发挥作用。在内侧-颞-顶骨来源上的Theta活性与更有效的导航性能呈正相关。根据海马的深度和拟议的封闭视野结构以及头皮脑电图数据的潜在含义对结果进行了讨论。目前的研究结果表明,适当的BSS方法非常适合于最大程度地减少非侵入性录音中的体积传导效应,从而可以更精确地探索深部脑过程。

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