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Evoking artificial speech perception through invasive brain stimulation for brain-computer interfaces: current challenges and future perspectives.
Hong, Yirye; Ryun, Seokyun; Chung, Chun Kee.
Afiliación
  • Hong Y; Department of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea.
  • Ryun S; Neuroscience Research Institute, Seoul National University Medical Research Center, Seoul, Republic of Korea.
  • Chung CK; Neuroscience Research Institute, Seoul National University Medical Research Center, Seoul, Republic of Korea.
Front Neurosci ; 18: 1428256, 2024.
Article en En | MEDLINE | ID: mdl-38988764
ABSTRACT
Encoding artificial perceptions through brain stimulation, especially that of higher cognitive functions such as speech perception, is one of the most formidable challenges in brain-computer interfaces (BCI). Brain stimulation has been used for functional mapping in clinical practices for the last 70 years to treat various disorders affecting the nervous system, including epilepsy, Parkinson's disease, essential tremors, and dystonia. Recently, direct electrical stimulation has been used to evoke various forms of perception in humans, ranging from sensorimotor, auditory, and visual to speech cognition. Successfully evoking and fine-tuning artificial perceptions could revolutionize communication for individuals with speech disorders and significantly enhance the capabilities of brain-computer interface technologies. However, despite the extensive literature on encoding various perceptions and the rising popularity of speech BCIs, inducing artificial speech perception is still largely unexplored, and its potential has yet to be determined. In this paper, we examine the various stimulation techniques used to evoke complex percepts and the target brain areas for the input of speech-like information. Finally, we discuss strategies to address the challenges of speech encoding and discuss the prospects of these approaches.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurosci Año: 2024 Tipo del documento: Article Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurosci Año: 2024 Tipo del documento: Article Pais de publicación: Suiza