Localizing evoked and induced responses to faces using magnetoencephalography.
Localizing evoked and induced responses to faces using magnetoencephalography.
复制标题
使用磁脑图对面部的诱发和诱导反应进行定位。
DOI：
10.1111/ejn.12520
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发表时间：
2014-05
期刊：
影响因子：
--
通讯作者：
Singh KD
中科院分区：
文献类型：
--
作者：
Perry G;Singh KD
人们知道，在视觉皮层中，对面孔的反应会在频率、时间和空间上产生丰富的反应模式。最近，一些研究已经使用脑磁图（MEG）来尝试非侵入性地记录这些反应-在许多情况下使用基于波束形成方法的源分析技术。在这里，我们寻求表征使用MEG波束成形测量面部特异性反应的最佳实践，并确定波束成形器产生的结果是否与其他模态的证据相匹配。我们测量了面部刺激和相位扰频控制刺激的视觉呈现的活动，并使用合成孔径磁力测量法对诱导和诱发反应进行了源分析。我们将γ-波段反应定位于双侧枕叶外侧皮质，将γ-波段反应和M170诱发反应定位于右侧梭状回。面部和杂乱刺激之间的伽马波段反应的差异仅限于50-90 Hz的频率范围;在较高频率下的伽马波段活动在两种刺激类别之间没有差异。我们还确定了M220诱发反应的一个组成部分-定位于顶枕沟-这是增强与未加扰的面孔。这些发现有助于确定MEG波束形成可以在时间，频率和空间上定位面部特异性反应，具有良好的准确性（当根据功能性磁共振成像和颅内记录的既定结果进行验证时），以及有助于建立使用波束形成器方法测量面部特异性反应的最佳方法实践。
A rich pattern of responses in frequency, time and space are known to be generated in the visual cortex in response to faces. Recently, a number of studies have used magnetoencephalography (MEG) to try to record these responses non-invasively – in many cases using source analysis techniques based on the beamforming method. Here we sought both to characterize best practice for measuring face-specific responses using MEG beamforming, and to determine whether the results produced by the beamformer match evidence from other modalities. We measured activity to visual presentation of face stimuli and phase-scrambled control stimuli, and performed source analyses of both induced and evoked responses using Synthetic Aperture Magnetometry. We localized the gamma-band response to bilateral lateral occipital cortex, and both the gamma-band response and the M170-evoked response to the right fusiform gyrus. Differences in the gamma-band response between faces and scrambled stimuli were confined to the frequency range 50–90 Hz; gamma-band activity at higher frequencies did not differ between the two stimulus categories. We additionally identified a component of the M220-evoked response – localized to the parieto-occipital sulcus – which was enhanced for scrambled vs. unscrambled faces. These findings help to establish that MEG beamforming can localize face-specific responses in time, frequency and space with good accuracy (when validated against established findings from functional magnetic resonance imaging and intracranial recordings), as well as contributing to the establishment of best methodological practice for the use of the beamformer method to measure face-specific responses.
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