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However, there is a lack of comprehensive studies assessing public perception of BCI through social media discussions. This study aims to bridge the gap by using NLP tools to analyze over a decade of X conversations about BCI. The goals of this study are to quantify sentiments, identify trends in public perception, explore subjectivity, and understand the nature of public discussions related to BCI.
JMIR Form Res 2025;9:e60859
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Techniques like endovascular BCI approaches propose minimally invasive methods to place electrodes closer to relevant neural tissues without traditional open-brain surgery [1]. Their clinical potential still has to be demonstrated.
Invasive BCIs are primarily aimed at restoring lost functions such as mobility, speech, and even cognitive faculties in patients with disabilities resulting from conditions like stroke, spinal cord injuries, and neurodegenerative diseases.
JMIR Neurotech 2024;3:e60151
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Reference 54: Associative cued asynchronous BCI induces cortical plasticity in stroke patientsbci
JMIR Rehabil Assist Technol 2023;10:e49702
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Electroencephalographic neurofeedback (EEG-NFB) is a type of brain-computer interface (BCI), which provides real-time feedback to the individual based on neural signals of interest as measured by electroencephalography (EEG), thus training the individual to self-regulate their brain activity [10]. EEG-NFB was introduced in the 1960s independently by Nowlis and Kamiya [11], and Sterman et al [12], and was commonly referred to as EEG biofeedback.
JMIR Res Protoc 2023;12:e46135
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