A Speech Neuroprosthesis in the Frontal Lobe and Hippocampus: Decoding High-Frequency Activity into Phonemes.

IF 3.9 2区 医学 Q1 CLINICAL NEUROLOGY Neurosurgery Pub Date : 2025-02-01 Epub Date: 2024-06-27 DOI:10.1227/neu.0000000000003068
Ariel Tankus, Einat Stern, Guy Klein, Nufar Kaptzon, Lilac Nash, Tal Marziano, Omer Shamia, Guy Gurevitch, Lottem Bergman, Lilach Goldstein, Firas Fahoum, Ido Strauss
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Abstract

Background and objectives: Loss of speech due to injury or disease is devastating. Here, we report a novel speech neuroprosthesis that artificially articulates building blocks of speech based on high-frequency activity in brain areas never harnessed for a neuroprosthesis before: anterior cingulate and orbitofrontal cortices, and hippocampus.

Methods: A 37-year-old male neurosurgical epilepsy patient with intact speech, implanted with depth electrodes for clinical reasons only, silently controlled the neuroprosthesis almost immediately and in a natural way to voluntarily produce 2 vowel sounds.

Results: During the first set of trials, the participant made the neuroprosthesis produce the different vowel sounds artificially with 85% accuracy. In the following trials, performance improved consistently, which may be attributed to neuroplasticity. We show that a neuroprosthesis trained on overt speech data may be controlled silently.

Conclusion: This may open the way for a novel strategy of neuroprosthesis implantation at earlier disease stages (eg, amyotrophic lateral sclerosis), while speech is intact, for improved training that still allows silent control at later stages. The results demonstrate clinical feasibility of direct decoding of high-frequency activity that includes spiking activity in the aforementioned areas for silent production of phonemes that may serve as a part of a neuroprosthesis for replacing lost speech control pathways.

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额叶和海马的语音神经假体:将高频活动解码为音素。
背景和目标:因受伤或疾病而丧失语言能力是毁灭性的。在此,我们报告了一种新颖的语音神经假体,该假体可根据以前从未用于神经假体的大脑区域(前扣带回、眶额皮层和海马)的高频活动,人工发音构建语音模块:一位37岁的男性神经外科癫痫患者言语功能完好,仅因临床原因被植入深度电极,他几乎立即以自然的方式无声地控制神经假体,自愿发出2个元音:在第一组试验中,受试者人工控制神经假体发出不同元音的准确率为 85%。在接下来的试验中,表现持续改善,这可能归因于神经可塑性。我们的研究表明,根据公开语音数据训练的神经假体可以实现无声控制:结论:这为在早期疾病阶段(如肌萎缩侧索硬化症)植入神经假体的新策略开辟了道路。这些结果证明了直接解码高频活动的临床可行性,其中包括上述区域的尖峰活动,用于无声音素的产生,可作为神经假体的一部分,用于替代失去的言语控制通路。
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来源期刊
Neurosurgery
Neurosurgery 医学-临床神经学
CiteScore
8.20
自引率
6.20%
发文量
898
审稿时长
2-4 weeks
期刊介绍: Neurosurgery, the official journal of the Congress of Neurological Surgeons, publishes research on clinical and experimental neurosurgery covering the very latest developments in science, technology, and medicine. For professionals aware of the rapid pace of developments in the field, this journal is nothing short of indispensable as the most complete window on the contemporary field of neurosurgery. Neurosurgery is the fastest-growing journal in the field, with a worldwide reputation for reliable coverage delivered with a fresh and dynamic outlook.
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