Decoding spoken words using local field potentials recorded from the cortical surface.

Decoding spoken words using local field potentials recorded from the cortical surface.
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DOI:
10.1088/1741-2560/7/5/056007
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发表时间:
2010-10
影响因子:
4
通讯作者:
Greger B
Greger B
中科院分区:
工程技术2区
文献类型:
--
作者:
Kellis S;Miller K;Thomson K;Brown R;House P;Greger B

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诸如肌萎缩性侧索硬化症或脑干损伤等病理状况会使患者严重瘫痪,但完全清醒,这种情况称为“闭锁综合征”。在这种状态下的交流往往减少到选择个别字母或单词通过艰苦的剩余运动。通过直接与大脑皮层的语言区域交互,可以恢复更直观和快速的交流。我们使用了一个网格的紧密间隔,非穿透性微电极记录局部场电位(LFPs)从表面的面部运动皮层和韦尼克区。从这些LFP中,我们成功地在一个试验一个试验的基础上对一小部分单词进行了分类,其水平远远高于机会。我们发现,具有最高准确度的电极图案对于每个单词都发生了变化,这支持了这样一种想法,即紧密间隔的微电极能够从独立的神经处理组件中捕获神经信号。这些结果进一步支持在脑机接口中使用皮层表面电位(皮层电图)。这些结果还表明,从语言区的皮层表面(微皮层电图)记录的LFP可用于对语音相关的皮层节律进行分类,并可能恢复与闭锁患者的沟通。
Pathological conditions such as amyotrophic lateral sclerosis or damage to the brainstem can leave patients severely paralyzed but fully aware, in a condition known as “locked-in syndrome.” Communication in this state is often reduced to selecting individual letters or words by arduous residual movements. More intuitive and rapid communication may be restored by directly interfacing with language areas of the cerebral cortex. We used a grid of closely spaced, nonpenetrating micro-electrodes to record local field potentials (LFPs) from the surface of face motor cortex and Wernicke’s area. From these LFPs we were successful in classifying a small set of words on a trial-by-trial basis at levels well above chance. We found that the pattern of electrodes with the highest accuracy changed for each word, which supports the idea that closely spaced micro-electrodes are capable of capturing neural signals from independent neural processing assemblies. These results further support using cortical surface potentials (electrocorticography) in brain-computer interfaces. These results also show that LFPs recorded from the cortical surface (micro-electrocorticography) of language areas can be used to classify speech-related cortical rhythms and potentially restore communication to locked-in patients.
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