ReviewFrontiers in neuroscience2018
Decoding Inner Speech Using Electrocorticography: Progress and Challenges Toward a Speech Prosthesis.
Review in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 112 citations in OpenAlex.
- The current status of foundation models in decoding inner speech from non-invasive brain signals: a mini review.Frontiers in human neuroscience · 2026Review
- ThinkSTra: a transformer-driven architecture for decoding imagined speech from EEG with spatial-temporal dynamics.Medical & biological engineering & computing · 2025Article
- Article
- Natural sounds can be reconstructed from human neuroimaging data using deep neural network representation.PLoS biology · 2025Article
- Learning to operate an imagined speech Brain-Computer Interface involves the spatial and frequency tuning of neural activity.Communications biology · 2025Article
- Improved evaluation of waveform reconstruction in speech decoding based on invasive brain-computer interfaces.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Neural signals, machine learning, and the future of inner speech recognition.Frontiers in human neuroscience · 2025Review
- Imagined speech event detection from electrocorticography and its transfer between speech modes and subjects.Communications biology · 2024Article
- The speech neuroprosthesis.Nature reviews. Neuroscience · 2024Review
- Representation of internal speech by single neurons in human supramarginal gyrus.Nature human behaviour · 2024Article
- Anatomical registration of intracranial electrodes. Robust model-based localization and deformable smooth brain-shift compensation methods.Journal of neuroscience methods · 2024Review
- Adaptive LDA Classifier Enhances Real-Time Control of an EEG Brain-Computer Interface for Decoding Imagined Syllables.Brain sciences · 2024Article
- Boosting brain-computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome.Journal of neuroengineering and rehabilitation · 2023Review
- Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models.Journal of neural engineering · 2023Article
- Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition.Scientific data · 2023Article
- Recommendations for promoting user agency in the design of speech neuroprostheses.Frontiers in human neuroscience · 2023Article
- Linguistic representation of vowels in speech imagery EEG.Frontiers in human neuroscience · 2023Article
- [Key technology of brain-computer interaction based on speech imagery].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
- Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.Journal of the Association for Research in Otolaryngology : JARO · 2022Review
- Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible.NeuroSci · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Certain brain disorders resulting from brainstem infarcts, traumatic brain injury, cerebral palsy, stroke, and amyotrophic lateral sclerosis, limit verbal communication despite the patient being fully aware. People that cannot communicate due to neurological disorders would benefit from a system that can infer internal speech directly from brain signals. In this review article, we describe the state of the art in decoding inner speech, ranging from early acoustic sound features, to higher order speech units. We focused on intracranial recordings, as this technique allows monitoring brain activity with high spatial, temporal, and spectral resolution, and therefore is a good candidate to investigate inner speech. Despite intense efforts, investigating how the human cortex encodes inner speech remains an elusive challenge, due to the lack of behavioral and observable measures. We emphasize various challenges commonly encountered when investigating inner speech decoding, and propose potential solutions in order to get closer to a natural speech assistive device.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.