%0 Journal Article
%T The Hybrid Mind in Precision Neurorehabilitation: Integrating AI-Driven Neurotechnologies and Ethical Governance
%A Rosimar Jose de Lima Dias
%J World Journal of Neuroscience
%P 105-125
%@ 2162-2019
%D 2025
%I Scientific Research Publishing
%R 10.4236/wjns.2025.152010
%X Artificial intelligence (AI) and neurotechnologies are redefining neuropsychological rehabilitation, enabling precision-guided, real-time neuromodulation. This review introduces the <i>hybrid mind</i> paradigm&#8212;a convergence of biological and artificial cognition&#8212;operationalized through AI-enhanced braincomputer interfaces (BCIs), deep brain stimulation (DBS), and adaptive neurofeedback. These technologies integrate closed-loop modulation and neuroadaptive algorithms to optimize neuroplasticity and functional recovery. While AI-driven systems show promise in cognitive and motor domains, translational barriers persist, including algorithmic opacity, neural data governance, and fragmented regulation. We synthesize recent evidence and outline strategic priorities: implementation of explainable AI frameworks, development of non-invasive neuromodulatory alternatives, and global harmonization of ethical standards. As AI and neuroscience converge, the hybrid mind paradigm signals a pivotal shift toward individualized, ethically guided neurorehabilitation.
%K Hybrid Mind
%K AI-Driven Neurorehabilitation
%K Brain-Computer Interfaces (BCIs)
%K Deep Brain Stimulation (DBS)
%K Neuroadaptive Algorithms
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=142772