Advancing the Frontiers of Neurocognitive Rehabilitation
Abstract
This chapter explores the expanding horizons of neurocognitive rehabilitation by synthesizing emerging trends in research, technology, and practice. With a focus on translational innovation, it identifies how cutting-edge advancements, such as neurofeedback training (NFT), brain–computer interfaces, and artificial intelligence (AI)-driven diagnostics, are reshaping cognitive recovery pathways. Emphasis is placed on the growing need for culturally and contextually responsive models, particularly in low-resource settings, as well as scalable, tech-enabled delivery methods that enhance accessibility and personalization. The chapter also highlights the critical importance of long-term outcome studies, interdisciplinary collaboration, and workforce upskilling to support sustainable integration of novel tools into routine care. Ethical considerations, including data privacy, informed consent in neurotechnological interventions, and the equitable distribution of emerging therapies, are also explored. As the field advances, the convergence of neuroscience, digital innovation, and individualized care promises to transform neurocognitive rehabilitation from reactive to anticipatory, from standardized to precision-based. Ultimately, this chapter advocates for a global, equity-focused, and evidence-based framework that places individuals, not just their impairments, at the center of rehabilitation science and practice.
Fields of Study & Subjects
Cognitive Functions and Memory
Traumatic Brain Injury Research
Stroke Rehabilitation and Recovery
Publication details
- Journal / source
- Routledge eBooks
- Pages
- 338–356
- Publication date
- 9 January 2026
- Language
- EN
- Document type
- Book chapter