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听觉双峰态时知觉状态的脑磁图相关研究。

Magnetoencephalographic Correlates of Perceptual State During Auditory Bistability.

机构信息

Institute of Cognitive Neuroscience University College London, Alexandra House, 17-19 Queen Square, London, WC1N 3AR, London, United Kingdom.

Department of Anesthesiology, University of Wisconsin, Madison, USA.

出版信息

Sci Rep. 2018 Jan 17;8(1):976. doi: 10.1038/s41598-018-19287-0.

Abstract

Bistability occurs when two alternative percepts can be derived from the same physical stimulus. To identify the neural correlates of specific subjective experiences we used a bistable auditory stimulus and determined whether the two perceptual states could be distinguished electrophysiologically. Fourteen participants underwent magnetoencephalography while reporting their perceptual experience while listening to a continuous bistable stream of auditory tones. Participants reported bistability with a similar overall proportion of the two alternative percepts (52% vs 48%). At the individual level, sensor space electrophysiological discrimination between the percepts was possible in 9/14 participants with canonical variate analysis (CVA) or linear support vector machine (SVM) analysis over space and time dimensions. Classification was possible in 14/14 subjects with non-linear SVM. Similar effects were noted in an unconstrained source space CVA analysis (classifying 10/14 participants), linear SVM (classifying 9/14 subjects) and non-linear SVM (classifiying 13/14 participants). Source space analysis restricted to a priori ROIs showed discrimination was possible in the right and left auditory cortex with each classification approach but in the right intraparietal sulcus this was only apparent with non-linear SVM and only in a minority of particpants. Magnetoencephalography can be used to objectively classify auditory experiences from individual subjects.

摘要

当两种替代的感知可以从相同的物理刺激中得出时,就会出现双稳态。为了确定特定主观体验的神经相关性,我们使用了一种双稳态听觉刺激,并确定是否可以通过电生理来区分两种感知状态。14 名参与者在听连续的双稳态音频流时接受了脑磁图,并报告了他们的感知体验。参与者报告的两种替代感知的总体比例相似(52% 对 48%)。在个体水平上,通过典型变量分析(CVA)或空间和时间维度的线性支持向量机(SVM)分析,在 9/14 名参与者中可以在传感器空间中对感知进行电生理区分。使用非线性 SVM,在 14/14 名受试者中可以进行分类。在不受约束的源空间 CVA 分析中也注意到了类似的效果(分类 10/14 名参与者),线性 SVM(分类 9/14 名受试者)和非线性 SVM(分类 13/14 名参与者)。将源空间分析限制在预先确定的 ROI 中,发现使用每种分类方法都可以在右和左听觉皮层中进行区分,但在右顶内沟中,只有使用非线性 SVM 并且只有少数参与者才能看到这种情况。脑磁图可用于客观地对个体的听觉体验进行分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ae/5772671/1d020b1ed9b0/41598_2018_19287_Fig1_HTML.jpg

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