当前位置： SCI文献检索 > Journal of Neural Engineering期刊下所有文献 > Decoding spoken English from intracortical electrode arrays in dorsal precentral gyrus.

Decoding spoken English from intracortical electrode arrays in dorsal precentral gyrus.

Abstract：

OBJECTIVE:To evaluate the potential of intracortical electrode array signals for brain-computer interfaces (BCIs) to restore lost speech, we measured the performance of decoders trained to discriminate a comprehensive basis set of 39 English phonemes and to synthesize speech sounds via a neural pattern matching method. We decoded neural correlates of spoken-out-loud words in the 'hand knob' area of precentral gyrus, a step toward the eventual goal of decoding attempted speech from ventral speech areas in patients who are unable to speak. APPROACH:Neural and audio data were recorded while two BrainGate2 pilot clinical trial participants, each with two chronically-implanted 96-electrode arrays, spoke 420 different words that broadly sampled English phonemes. Phoneme onsets were identified from audio recordings, and their identities were then classified from neural features consisting of each electrode's binned action potential counts or high-frequency local field potential power. Speech synthesis was performed using the 'Brain-to-Speech' pattern matching method. We also examined two potential confounds specific to decoding overt speech: acoustic contamination of neural signals and systematic differences in labeling different phonemes' onset times. MAIN RESULTS:A linear decoder achieved up to 29.3% classification accuracy (chance = 6%) across 39 phonemes, while an RNN classifier achieved 33.9% accuracy. Parameter sweeps indicated that performance did not saturate when adding more electrodes or more training data, and that accuracy improved when utilizing time-varying structure in the data. Microphonic contamination and phoneme onset differences modestly increased decoding accuracy, but could be mitigated by acoustic artifact subtraction and using a neural speech onset marker, respectively. Speech synthesis achieved r = 0.523 correlation between true and reconstructed audio. SIGNIFICANCE:The ability to decode speech using intracortical electrode array signals from a nontraditional speech area suggests that placing electrode arrays in ventral speech areas is a promising direction for speech BCIs.

journal_name

J Neural Eng

journal_title

Journal of neural engineering

authors

Wilson GH,Stavisky SD,Willett FR,Avansino DT,Kelemen JN,Hochberg LR,Henderson JM,Druckmann S,Shenoy KV

doi

10.1088/1741-2552/abbfef

subject

Has Abstract

pub_date

2020-11-25 00:00:00

pages

066007

issue

eissn

1741-2560

issn

1741-2552

journal_volume

pub_type

杂志文章

在线工具

Decoding spoken English from intracortical electrode arrays in dorsal precentral gyrus.