Miyake, Yusuke (2025): Breath and Brain Function with Algorithm Technology.
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Abstract
This study introduces an innovative interdisciplinary framework linking neuroscience,psychiatry, and health economics to analyze how nasal breathing, particularly left nostril breathing (LNB), influences brain activity and psychiatric disorders, including attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder, and epilepsy. Traditional pharmacological treatments, while effective, often pose substantial side effects and economic burdens. In contrast, emerging evidence from neuroscientific studies using functional magnetic resonance imaging (fMRI) reveals that LNB selectively improves critical regions of the right hemisphere of the brain, specifically the prefrontal cortex, amygdala, hippocampus and insular cortex, thus improving emotional stability, cognitive performance, and autonomic regulation without adverse effects. Integrating advanced artificial intelligence (AI) algorithms and personalized medical data (e.g., EEG, MRI, blood tests) optimizes therapeutic strategies, precisely aligning patient needs with targeted interventions. By modeling healthcare interactions through endogenous growth theory and R&D-driven market dynamics, this research highlights how AI-driven personalized medical solutions can improve productivity, reduce healthcare expenditures and significantly increase societal welfare and economic growth. This paper thus presents a pioneering contribution to medical economics, proposing a sustainable and effective healthcare model optimized by neuroscience and AI technologies.
Item Type: | MPRA Paper |
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Original Title: | Breath and Brain Function with Algorithm Technology |
English Title: | Breath and Brain Function with Algorithm Technology |
Language: | English |
Keywords: | Left Nostril Breathing (LNB), Psychiatric Disorders, Brain Function, Artificial Intelligence (AI), Health Economics, Endogenous Growth Model, R\&D, Algorithm Economy, Personalized Medicine. |
Subjects: | D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness I - Health, Education, and Welfare > I1 - Health > I11 - Analysis of Health Care Markets I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy ; Regulation ; Public Health O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O31 - Innovation and Invention: Processes and Incentives O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes |
Item ID: | 124699 |
Depositing User: | Yusuke Miyake |
Date Deposited: | 23 May 2025 14:28 |
Last Modified: | 23 May 2025 14:28 |
References: | Romer, P. M. (1986). Increasing Returns and Long-Run Growth. Journal of Political Economy, 94(5), 1002–1037. Romer, P. M. (1990). Endogenous Technological Change. Journal of Political Economy, 98(5, Part 2), S71–S102. Jones, C. I. (1995). R&D-Based Models of Economic Growth. Journal of Political Economy, 103(4), 759–784. Acemoglu, D. (2002). Directed Technical Change. Review of Economic Studies, 69(4), 781–809. Zelano, C., Jiang, H., Zhou, G., Arora, N., Schuele, S., Rosenow, J., & Gottfried, J. A. (2016). Nasal Respiration Entrains Human Limbic Oscillations and Modulates Cognitive Function. Journal of Neuroscience, 36(49), 12448–12467. OECD. (2022). Health at a Glance 2022: OECD Indicators. OECD Publishing, Paris. World Health Organization (WHO). (2022). Global Status Report on Mental Health and Neurological Disorders. Geneva: WHO. Global Information, Inc. (2023). EEG Device Market: Global Industry Trends, Share, Size, Growth, Opportunity, and Forecast 2023–2028. Global Information Market Report, April 2023. Grossman, M. (1972). On the Concept of Health Capital and the Demand for Health. Journal of Political Economy, 80(2), 223–255. Barro, R. J. (1990). Government Spending in a Simple Model of Endogenous Growth. Journal of Political Economy, 98(5, Part 2), S103–S125. Jones, C. I. (2005). Growth and Ideas. In: Aghion, P., & Durlauf, S. (Eds.), Handbook of Economic Growth, Volume 1B (pp. 1063–1111). Elsevier. Bloom, N., & Van Reenen, J. (2007). Measuring and Explaining Management Practices Across Firms and Countries. Quarterly Journal of Economics, 122(4), 1351–1408. Autor, D. H. (2019). Work of the Past, Work of the Future. AEA Papers and Proceedings, 109, 1–32. Acemoglu, D., & Restrepo, P. (2019). Automation and New Tasks: How Technology Displaces and Reinstates Labor. Journal of Economic Perspectives, 33(2), 3–30. Adhvaryu, A., Kala, N., & Nyshadham, A. (2019). The Light and the Heat: Productivity Co-benefits of Energy-saving Technology. Review of Economics and Statistics, 101(4), 779–792. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/124699 |