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A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

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Published on: February 21, 2011

Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS.

Miguel Angrick¹, Shiyu Luo², Qinwan Rabbani³

¹Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. mangric1@jhu.edu.

Scientific Reports

|April 26, 2024

Summary

This summary is machine-generated.

This study demonstrates a brain-computer interface (BCI) that synthesizes intelligible speech for individuals with ALS. The BCI successfully reconstructs spoken words from brain activity, offering a new communication pathway.

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Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis

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Area of Science:

Neuroscience
Biomedical Engineering
Speech Synthesis

Background:

Neurological disorders like ALS can severely impair speech.
Existing communication aids may not fully restore natural speech.
Brain-computer interfaces (BCIs) offer potential for restoring communication.

Purpose of the Study:

To develop and evaluate an online speech synthesis BCI for individuals with impaired articulation.
To assess the intelligibility and reliability of synthesized speech from electrocorticography (ECoG) signals.
To explore the use of recurrent neural networks for decoding speech intentions.

Main Methods:

Utilized a chronically implanted BCI with electrocorticography (ECoG) in a participant with ALS.
Employed a 3-stage recurrent neural network approach to identify, decode, and synthesize speech.
Tested the BCI with a vocabulary of 6 keywords for controlling a communication board.

Main Results:

Successfully demonstrated online synthesis of intelligible words chosen by the participant.
Achieved 80% word recognition accuracy by human listeners for the synthesized speech.
Showcased the reliability and stability of ECoG signals for speech-based BCIs.

Conclusions:

A chronically implanted BCI can enable individuals with ALS to produce synthesized speech.
The developed BCI preserves the participant's voice profile.
This technology shows promise for restoring communication for those with speech loss.