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ECS and Pain, Sleep, Sensory Modulation: A Quantum–Bioelectric–Neuroimmune Framework

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Názov: ECS and Pain, Sleep, Sensory Modulation: A Quantum–Bioelectric–Neuroimmune Framework
Autori: Mohamed, Anwar
Publication Status: Preprint
Informácie o vydavateľovi: Zenodo, 2025.
Rok vydania: 2025
Predmety: Receptor, Cannabinoid, CB1/agonists, Bioengineering/methods, Endocannabinoid System, Receptor, Cannabinoid, CB2, Vagus Nerve Stimulation/psychology, Clinical Trial Protocols as Topic, Receptor, Cannabinoid, CB1, Receptor, Cannabinoid, CB2/drug effects, Clinical Protocols, Integrative and complementary medicine, Neurosciences/instrumentation, Integrative Medicine/methods, Integrative Medicine/trends, Bioelectric medicine, Cannabinoid therapy, ECS modulation, Pain Management/trends, Vagus Nerve Stimulation/methods, Vagus Nerve Stimulation/trends, PEMF therapy, Neuroimmune crosstalk, Cognitive Neuroscience/education, Quantum biology, Neurosciences/classification, Clinical Protocols/standards, Bioengineering/standards, Integrative Medicine/ethics, Receptor, Cannabinoid, CB2/genetics, Vagus Nerve Stimulation/ethics, Immunologic Surveillance/immunology, CB1, CB2, Cognitive Neuroscience/ethics, Quantum coherence, Pain Management/ethics, Immunologic Memory/immunology, Pain Management/psychology, Sensory processing, Bioengineering/trends, Vagus nerve stimulation, ECS therapeutics, Neurosciences/standards, Vagus Nerve Stimulation, Suppressor Factors, Immunologic/immunology, Vagus Nerve Stimulation/standards, Cognitive Neuroscience, Immunology, TRPV Cation Channels, Bioengineering, Pain Management/standards, Molecular neuroscience, Receptor, Cannabinoid, CB1/genetics, MAGL inhibition, Neurosciences/education, Bioengineering/classification, Bioengineering/ethics, Pain Management, Cognitive Neuroscience/classification, Integrative Medicine/education, Pharmacology, Integrative Medicine, Integrative Medicine/classification, Clinical protocols, FOS: Clinical medicine, Neurosciences, ECS, Cognitive neuroscience, Pain Management/classification, Bioengineering/education, Neurosciences/ethics, Sleep regulation, Vagus Nerve Stimulation/classification, Pain management, Neurosciences/methods, FAAH inhibition, Receptors, Immunologic/immunology, TRPV1, Frequency medicine, Computational neuroscience, Receptor, Cannabinoid, CB2/chemistry, Integrative Medicine/standards, Receptor, Cannabinoid, CB2/agonists, Neuroplasticity, Neurosciences/trends, Clinical Protocols/classification, Neuroscience
Popis: The Endocannabinoid System (ECS) operates as a master regulator across neural, immune, and metabolic processes, modulating key pathways involved in pain perception, sleep architecture, and sensory calibration. Beyond classical receptor biology, the ECS interfaces with quantum-level coherence mechanisms and bioelectric signaling networks, suggesting a multi-dimensional framework for therapeutic intervention. This paper presents a novel ECS-centered model integrating cannabinoid pharmacology, ion channel regulation, vagal modulation, quantum bioelectromagnetics, and frequency-based medicine. It offers actionable clinical translation through targeted protocol summaries, outcome data from cannabinoid and PEMF-based trials, and a visual ECS–Quantum–Bioelectric Control Map. The resulting framework provides clinicians and researchers with a deployable strategy for addressing chronic pain, insomnia, fibromyalgia, sensory hypersensitivity, and post-infectious syndromes such as Long COVID. Funding:No external funding was received for the development of this study. All research, writing, and data integration were conducted independently by the author utilizing proprietary AI-enhanced datasets. Competing Interests:The author declares no competing interests. This work is available for clinical licensing, academic integration, and R&D partnership inquiries. Data Availability:All data supporting the findings of this study are contained within the manuscript. Additional datasets referenced in the work are available upon request or via the associated GitHub repository License:Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)(Allows sharing and adaptation with attribution, but restricts commercial use without licensing agreement)
Jazyk: English
DOI: 10.5281/zenodo.15264242
DOI: 10.5281/zenodo.15264241
Rights: CC BY
Prístupové číslo: edsair.doi.dedup.....408f4fd4902a2f6e4699e64d87024f99
Databáza: OpenAIRE
Popis
Abstrakt:The Endocannabinoid System (ECS) operates as a master regulator across neural, immune, and metabolic processes, modulating key pathways involved in pain perception, sleep architecture, and sensory calibration. Beyond classical receptor biology, the ECS interfaces with quantum-level coherence mechanisms and bioelectric signaling networks, suggesting a multi-dimensional framework for therapeutic intervention. This paper presents a novel ECS-centered model integrating cannabinoid pharmacology, ion channel regulation, vagal modulation, quantum bioelectromagnetics, and frequency-based medicine. It offers actionable clinical translation through targeted protocol summaries, outcome data from cannabinoid and PEMF-based trials, and a visual ECS–Quantum–Bioelectric Control Map. The resulting framework provides clinicians and researchers with a deployable strategy for addressing chronic pain, insomnia, fibromyalgia, sensory hypersensitivity, and post-infectious syndromes such as Long COVID. Funding:No external funding was received for the development of this study. All research, writing, and data integration were conducted independently by the author utilizing proprietary AI-enhanced datasets. Competing Interests:The author declares no competing interests. This work is available for clinical licensing, academic integration, and R&D partnership inquiries. Data Availability:All data supporting the findings of this study are contained within the manuscript. Additional datasets referenced in the work are available upon request or via the associated GitHub repository License:Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)(Allows sharing and adaptation with attribution, but restricts commercial use without licensing agreement)
DOI:10.5281/zenodo.15264242