{"title":"非侵入性脑刺激和人工智能在通讯神经修复术中的应用:言语和听力障碍的双向治疗方法。","authors":"Thorsten Rudroff","doi":"10.3390/brainsci15050449","DOIUrl":null,"url":null,"abstract":"<p><p>This perspective paper introduces a novel bidirectional framework for communication neuroprosthetics that integrates non-invasive brain stimulation (NIBS) with artificial intelligence (AI) to address both speech production and auditory processing impairments. Traditional approaches typically target only one aspect of communication, while this framework supports the complete communication cycle. The integration of transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) with advanced AI algorithms enables the personalized, adaptive enhancement of neural signals for both speaking and listening functions. This paper examines current evidence for NIBS efficacy in communication disorders, explores AI innovations in neural signal processing, and discusses implementation considerations for closed-loop systems. This bidirectional approach has the potential to provide more natural, effective communication support while promoting neuroplasticity for long-term recovery. The framework presented offers a roadmap for developing accessible communication interventions that could significantly improve the quality of life for individuals with speech and hearing impairments resulting from neurological conditions.</p>","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110241/pdf/","citationCount":"0","resultStr":"{\"title\":\"Non-Invasive Brain Stimulation and Artificial Intelligence in Communication Neuroprosthetics: A Bidirectional Approach for Speech and Hearing Impairments.\",\"authors\":\"Thorsten Rudroff\",\"doi\":\"10.3390/brainsci15050449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This perspective paper introduces a novel bidirectional framework for communication neuroprosthetics that integrates non-invasive brain stimulation (NIBS) with artificial intelligence (AI) to address both speech production and auditory processing impairments. Traditional approaches typically target only one aspect of communication, while this framework supports the complete communication cycle. The integration of transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) with advanced AI algorithms enables the personalized, adaptive enhancement of neural signals for both speaking and listening functions. This paper examines current evidence for NIBS efficacy in communication disorders, explores AI innovations in neural signal processing, and discusses implementation considerations for closed-loop systems. This bidirectional approach has the potential to provide more natural, effective communication support while promoting neuroplasticity for long-term recovery. The framework presented offers a roadmap for developing accessible communication interventions that could significantly improve the quality of life for individuals with speech and hearing impairments resulting from neurological conditions.</p>\",\"PeriodicalId\":9095,\"journal\":{\"name\":\"Brain Sciences\",\"volume\":\"15 5\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110241/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain Sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3390/brainsci15050449\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/brainsci15050449","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Non-Invasive Brain Stimulation and Artificial Intelligence in Communication Neuroprosthetics: A Bidirectional Approach for Speech and Hearing Impairments.
This perspective paper introduces a novel bidirectional framework for communication neuroprosthetics that integrates non-invasive brain stimulation (NIBS) with artificial intelligence (AI) to address both speech production and auditory processing impairments. Traditional approaches typically target only one aspect of communication, while this framework supports the complete communication cycle. The integration of transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) with advanced AI algorithms enables the personalized, adaptive enhancement of neural signals for both speaking and listening functions. This paper examines current evidence for NIBS efficacy in communication disorders, explores AI innovations in neural signal processing, and discusses implementation considerations for closed-loop systems. This bidirectional approach has the potential to provide more natural, effective communication support while promoting neuroplasticity for long-term recovery. The framework presented offers a roadmap for developing accessible communication interventions that could significantly improve the quality of life for individuals with speech and hearing impairments resulting from neurological conditions.
期刊介绍:
Brain Sciences (ISSN 2076-3425) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications in the areas of cognitive neuroscience, developmental neuroscience, molecular and cellular neuroscience, neural engineering, neuroimaging, neurolinguistics, neuropathy, systems neuroscience, and theoretical and computational neuroscience. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.