Aug 2026· Theoretical and Natural Science· 0 citations
TL;DR
The study stresses the necessity of embedding relational autonomy and neural rights into BCI development, tying technological trajectories to governance demands in order to shape responsible paths for future neurotechnologies.
Abstract
Brain–computer interfaces (BCIs) are opening new avenues for treating neurological disorders and physical impairments, yet clinical practice continues to be split between invasive and non-invasive strategies. This work approaches BCI medical applications from three angles: a systematic review of the principal literature, a comparative case analysis contrasting invasive techniques (electrocorticography, microelectrode arrays) with non-invasive ones (electroencephalography, functional near-infrared spectroscopy), and an interdisciplinary assessment that draws together neuroscience, engineering, and ethical perspectives. The findings indicate that invasive BCIs offer strong motor and sensory restoration—for instance, robotic arm control reaching 80–100% task success rates and partial recovery of hand movement—but are limited by surgical hazards, progressive signal deterioration, and price tags above $250,000. Non-invasive BCIs are safer and have seen wider deployment in community-based neurorehabilitation (e.g., around 70% effectiveness for post-stroke upper-limb recovery); nevertheless, they struggle with inherently poor signal-to-noise ratios, a BCI illiteracy rate near 30%, and low information transfer speeds. Current trends spotlight the domestication of non-invasive systems, multimodal sensor fusion, adaptive algorithms, and attempts to clear clinical translation hurdles. Importantly, the assessment reveals mounting ethical and societal strains—neural data privacy, autonomy paradoxes, inequitable access, stigmatization, and military coercion among them. The study stresses the necessity of embedding relational autonomy and neural rights into BCI development, tying technological trajectories to governance demands in order to shape responsible paths for future neurotechnologies.
The available evidence suggests that continued multidisciplinary collaboration and technological innovation will facilitate the progressive integration of BCIs into routine neurosurgical care, supporting personalized therapeutic strategies aimed at improving functional recovery, communication, and quality of life in patients with complex neurological disorders.
Alejandra Mendoza Ortiz, Marco Antonio, Ortiz Ayala et al.· International science journa...· 0 citations
BACKGROUND
Post-stroke hand dysfunction severely limits patients' independence, and conventional rehabilitation often fails those without active movement. Noninvasive EEG-based brain-computer interface (BCI) technology addresses this by creating a closed-loop feedback system rooted in Hebbian learning principles. This system decodes rhythmic signals from the sensorimotor cortex during imagined hand movements in real-time. The decoded intention is then translated into commands to drive exoskeletons, functional electrical stimulation (FES), or virtual reality (VR) devices, thereby moving the affected limb. This process strengthens or remodels damaged neural pathways, promoting motor recovery.
METHODS
This article systematically outlines the neurophysiological basis of EEG-BCI and three major rehabilitation paradigms: motor imagery with physical feedback, motor imagery with virtual/multisensory feedback, and the steady-state visual evoked potential (SSVEP)-driven paradigm.
RESULTS
Studies confirm these approaches can improve upper limb function, showing significant potential. However, widespread clinical use faces challenges like low signal-to-noise ratios, significant individual variability, and "BCI blindness."
CONCLUSIONS
Future work should focus on improving decoding algorithms, developing more user-friendly devices, deepening mechanistic understanding, and establishing standardized clinical assessments. This review aims to offer valuable guidance for subsequent research.
Wang Peng, Yang Yang, Juehan Wang et al.· Topics in Stroke Rehabilitat...· 0 citations
It is argued that the same handful of bottlenecks recur across all three technologies (long-term stability, neural coding, and equitable access) and the governance frameworks needed alongside continued engineering progress are outlined.
Volodymyr Mavrych, O. Bolgova, Leen Alhamd et al.· Frontiers in Neuroscience· 0 citations
Stroke is a main reason for long-term disability globally, motor and cognitive impairments appear after stroke, which can reduce quality of life for patients and makes the rehabilitation process become more complex, new auxiliary tools are needed. Non-invasive brain-computer interfaces (BCIs) are promising tools to help stroke rehabilitation. BCI combined with functional electrical stimulation (BCI-FES) is used in many studies. Transcranial electrical stimulation-assisted BCI (BCI-TES) is another method. Virtual reality-integrated BCI (BCI-VR) shows good potential. This paper analysis the working mechanisms, clinical efficacy and limitations of these methods, and then multidimensional comparison is conducted which covers applicable populations, user tolerance, equipment performance and also the clinical evidence from existing studies to give full picture of current status. The results show that each paradigm has its own advantages for different patient groups. BCI-FES can help muscle reanimation for severe paresis. BCI-TES is expected to enhance cortical excitability in the early subacute stage. BCI-VR provides immersive task training, which can improve rehabilitation outcomes for mild impairments. It is stratified and phase-adaptive, and can guide the combination of individualized modalities and sequential intervention across stroke recovery stages. Future research directions including intelligent adaptive optimization, hybrid system integration, remote rehabilitation, unified evaluation criteria and large-scale clinical trials, and these efforts can help the clinical translation of BCI rehabilitation technologies so that more patients can benefit from these new methods in hospitals and home settings.
Lujin Lyu· Theoretical and Natural Scie...· 0 citations
This review systematically summarizes the definition, principles, classification, and clinical value of non -invasive EEG‑BCI and invasive implantable BCI and constructs a comprehensive nursing model that includes pre-rehabilitation assessment, intra-training monitoring, complication prevention, psychological intervention, and home -based continuing care.
Since neurotechnology advances have made brain-computer interfaces (BCIs) stars, they have also brought unprecedented opportunities for medical rehabilitation, industrial human-machine collaboration, and cognitive enhancement, but have also produced very real and very important ethical issues. Hence, this paper reviews the applications of BCIs in medical rehabilitation and industry and their advantages in accessibility and productivity. This paper reviews the current BCI medical rehabilitation and industry applications, and their advantages in accessibility and productivity. The paper first examines major ethical issues of neuro-privacy and stigma, then reviews the progress of miniaturization, bidirectional interaction, and society acceptance, and on that basis puts forth a clear and compelling argument on strengthening the ethics and regulation regimes of BCI to facilitate its fair and beneficial use. It also gives an accessible introduction to BCI for general readers.