ENGINEERING WHITE-BRAIN ORGANOIDS FOR ENHANCED BRAIN-COMPUTER INTERFACE INTEGRATION: A TRANSDISCIPLINARY FRAMEWORK COMBINING ARTIFICIAL INTELLIGENCE AND DIGITAL COMMUNICATION PARADIGMS

This study was an assessment of engineering white-brain organoids for enhanced brain-computer interface integration: a trans-disciplinary framework combining artificial intelligence and digital communication paradigms. Cybernetics and feedback, and Shannon’s information theories formed the anchor for this research. This study adopted a hybrid qualitative research design that integrates three complementary approaches: Delphi study, case study and grounded theory. The target population comprises three key groups: biomedical engineers and neuroscientists involved in organoid development (estimated at 65), AI and machine learning experts specialising in neuroinformatics (around 80), and communication system designers and neurotechnology stakeholders (approximately 55), giving a total population of 200. The sample size for the Delphi component will include 15 experts purposefully selected for their specialised knowledge. Data collection involved three methods: (1) Delphi rounds consisting of iterative structured questionnaires sent via email or secure platforms to develop expert consensus on key variables influencing BCI integration; (2) semi-structured interviews and observation protocols conducted within selected case study sites to collect real-life data on how white-brain organoids, AI systems, and digital communication tools are being applied or envisioned; and (3) open-ended interviews and memoing in the grounded theory component to allow theory to emerge from the field. Data analysis followed a layered approach: Delphi responses were analysed through descriptive content analysis and convergence scoring; case study data was analysed using pattern matching and thematic coding; and grounded theory data were analysed via open, axial and selective coding using constant comparative method. The study revealed that, white-brain organoids can be functionally engineered to replicate natural brain communication pathways through the integration of oligodendrocyte progenitor cells, scaffold-guided axonal alignment, and electrical stimulation, with consensus among experts and empirical evidence from case studies confirming that these components enable myelination and long-range connectivity, while grounded theory analysis revealed that “guided bio-connectivity” is central to achieving dynamic signal transmission comparable to human white matter function. The research recommended that, biomedical research institutions and neuroscience laboratories, such as the Nigerian Institute of Medical Research and Max Planck Institute for Brain Research, should invest in the development of standardised protocols for engineering white-brain organoids to support advanced neural modelling and BCI integration.