Submitted:
12 May 2026
Posted:
13 May 2026
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Abstract
Keywords:
1. Introduction
2. Mechanisms and Experimental Basis of Neural UPE
2.1. UPE and the Brain
2.2. Neuronal Excitation and Excitotoxicity
3. UPE in Neurologic Disease and Brain States
3.1. Vascular: Ischemia, Reperfusion, and Stroke
3.2. Neurodegeneration
3.3. Emerging Directions
3.3.1. Mental States & Anesthesia
3.3.2. Other Neurodegenerative Conditions
Multiple Sclerosis and Myelin Pathology
Parkinson’s Disease and Melanin Photochemistry
Amyotrophic Lateral Sclerosis
3.3.3. Cancers of the Nervous System
4. Discussion, Conclusions, & Future Directions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| UPE | Ultraweak Photon Emission |
| PMT | Photomultiplier Tube |
| EMCCD | Electron-Multiplying Charge-Coupled Device |
| ROS | Reactive Oxygen Species |
| PBM | Photobiomodulation |
| PD | Parkinson’s Disease |
| AD | Alzheimer’s Disease |
| VaD | Vascular Dementia |
| ALS | Amyotrophic Lateral Sclerosis |
| MS | Multiple Sclerosis |
References
- Gurwitsch, A. Die natur des spezifischen erregers der zellteilung. Arch. Für Mikrosk. Anat. Und Entwicklungsmechanik 1923, 100(1-2), 11–40. [Google Scholar] [CrossRef]
- Volodyaev, I.; Beloussov, L.V. Revisiting the mitogenetic effect of ultra-weak photon emission. Front Physiol. 2015, 6, 241. [Google Scholar] [CrossRef]
- Mould, R.R.; Mackenzie, A.M.; Kalampouka, I.; et al. Ultra weak photon emission-a brief review. Front Physiol. 2024, 15, 1348915. [Google Scholar] [CrossRef] [PubMed]
- Rossi, C.; Foletti, A.; Magnani, A.; Lamponi, S. New perspectives in cell communication: Bioelectromagnetic interactions. Semin Cancer Biol. 2011, 21(3), 207–214. [Google Scholar] [CrossRef] [PubMed]
- Prasad, A.; Rossi, C.; Lamponi, S.; Pospíšil, P.; Foletti, A. New perspective in cell communication: potential role of ultra-weak photon emission. J. Photochem Photobiol. B 2014, 139, 47–53. [Google Scholar] [CrossRef] [PubMed]
- Mould, R.R.; Kalampouka, I.; Thomas, E.L.; Guy, G.W.; Nunn, A.V.W.; Bell, J.D. Non-chemical signalling between mitochondria. Front Physiol. 2023, 14, 1268075. [Google Scholar] [CrossRef]
- Cifra, M.; Pospíšil, P. Ultra-weak photon emission from biological samples: definition, mechanisms, properties, detection and applications. J. Photochem Photobiol. B 2014, 139, 2–10. [Google Scholar] [CrossRef]
- Pospíšil, P.; Prasad, A.; Rác, M. Role of reactive oxygen species in ultra-weak photon emission in biological systems. J. Photochem Photobiol. B 2014, 139, 11–23. [Google Scholar] [CrossRef]
- Cifra, M.; Pospíšil, P. Ultra-weak photon emission from biological samples: definition, mechanisms, properties, detection and applications. J. Photochem Photobiol. B 2014, 139, 2–10. [Google Scholar] [CrossRef]
- Kobayashi, M.; Takeda, M.; Sato, T.; et al. In vivo imaging of spontaneous ultraweak photon emission from a rat’s brain correlated with cerebral energy metabolism and oxidative stress. Neurosci. Res. 1999, 34(2), 103–113. [Google Scholar] [CrossRef]
- Van Wijk, R.; Van Wijk, E.P.A.; Pang, J.; Yang, M.; Yan, Y.; Han, J. Integrating Ultra-Weak Photon Emission Analysis in Mitochondrial Research. Front Physiol. 2020, 11, 717. [Google Scholar] [CrossRef]
- Salari, V.; Scholkmann, F.; Bokkon, I.; Shahbazi, F.; Tuszynski, J. The Physical Mechanism for Retinal Discrete Dark Noise: Thermal Activation or Cellular Ultraweak Photon Emission? PLoS ONE 2016, 11(3), e0148336. [Google Scholar] [CrossRef]
- Rahnama, M.; Tuszynski, J.A.; Bókkon, I.; Cifra, M.; Sardar, P.; Salari, V. Emission of mitochondrial biophotons and their effect on electrical activity of membrane via microtubules. J. Integr. Neurosci. 2011, 10(1), 65–88. [Google Scholar] [CrossRef]
- Kobayashi, M.; Takeda, M.; Ito, K.; Kato, H.; Inaba, H. Two-dimensional photon counting imaging and spatiotemporal characterization of ultraweak photon emission from a rat’s brain in vivo. J. Neurosci. Methods 1999, 93(2), 163–168. [Google Scholar] [CrossRef] [PubMed]
- Tang, R.; Dai, J. Biophoton signal transmission and processing in the brain. J. Photochem. Photobiol. B Biol. 2014, 139, 71–75. [Google Scholar] [CrossRef]
- Kataoka, Y.; Cui, Y.; Yamagata, A.; et al. Activity-dependent neural tissue oxidation emits intrinsic ultraweak photons. Biochem Biophys. Res. Commun. 2001, 285(4), 1007–1011. [Google Scholar] [CrossRef]
- Zangari, A.; Micheli, D.; Galeazzi, R.; et al. Photons detected in the active nerve by photographic technique. Sci. Rep. 2021, 11(1), 3022. [Google Scholar] [CrossRef] [PubMed]
- Casey, H.; DiBerardino, I.; Bonzanni, M.; Rouleau, N.; Murugan, N.J. Exploring ultraweak photon emissions as optical markers of brain activity. iScience 2025, 28(3), 112019. [Google Scholar] [CrossRef]
- Chen, L.; Wang, Z.; Dai, J. Spectral blueshift of biophotonic activity and transmission in the ageing mouse brain. Brain Res. 2020, 1749, 147133. [Google Scholar] [CrossRef] [PubMed]
- Wang, Z.; Xu, Z.; Luo, Y.; et al. Reduced biophotonic activities and spectral blueshift in Alzheimer’s disease and vascular dementia models with cognitive impairment. Front Aging Neurosci. 2023, 15, 1208274. [Google Scholar] [CrossRef]
- Wang, Z.; Wang, N.; Li, Z.; Xiao, F.; Dai, J. Human high intelligence is involved in spectral redshift of biophotonic activities in the brain. Proc. Natl. Acad. Sci. USA 2016, 113(31), 8753–8758. [Google Scholar] [CrossRef] [PubMed]
- Kumar, S.; Boone, K.; Tuszyński, J.; Barclay, P.; Simon, C. Possible existence of optical communication channels in the brain. Sci. Rep. 2016, 6, 36508. [Google Scholar] [CrossRef]
- Zarkeshian, P.; Kumar, S.; Tuszynski, J.; Barclay, P.; Simon, C. Are there optical communication channels in the brain? Front Biosci. (Landmark Ed) 2018, 23(8), 1407–1421. [Google Scholar] [CrossRef] [PubMed]
- Zeng, H.; Zhang, Y.; Ma, Y.; Li, S. Electromagnetic modeling and simulation of the biophoton propagation in myelinated axon waveguide. Appl. Opt. 2022, 61(14), 4013–4021. [Google Scholar] [CrossRef]
- Omidi, M.; Zibaii, M.I.; Granpayeh, N. Simulation of nerve fiber based on anti-resonant reflecting optical waveguide. Sci. Rep. 2022, 12(1), 19356. [Google Scholar] [CrossRef]
- Olloquequi, J.; Cornejo-Córdova, E.; Verdaguer, E.; et al. Excitotoxicity in the pathogenesis of neurological and psychiatric disorders: Therapeutic implications. J. Psychopharmacol. 2018, 32(3), 265–275. [Google Scholar] [CrossRef]
- Kalia, L.V.; Kalia, S.K.; Salter, M.W. NMDA receptors in clinical neurology: excitatory times ahead. Lancet Neurol. 2008, 7(8), 742–755. [Google Scholar] [CrossRef] [PubMed]
- Zong, P.; Legere, N.; Feng, J.; Yue, L. TRP Channels in Excitotoxicity. Neuroscientist 2025, 31(1), 80–97. [Google Scholar] [CrossRef]
- Armada-Moreira, A.; Gomes, J.I.; Pina, C.C.; et al. Going the Extra (Synaptic) Mile: Excitotoxicity as the Road Toward Neurodegenerative Diseases. Front Cell Neurosci. 2020, 14, 90. [Google Scholar] [CrossRef]
- Isojima, Y.; Isoshima, T.; Nagai, K.; Kikuchi, K.; Nakagawa, H. Ultraweak biochemiluminescence detected from rat hippocampal slices. Neuroreport 1995, 6(4), 658–660. [Google Scholar] [CrossRef]
- Esmaeilpour, T.; Fereydouni, E.; Dehghani, F.; et al. An Experimental Investigation of Ultraweak Photon Emission from Adult Murine Neural Stem Cells. Sci. Rep. 2020, 10(1), 463. [Google Scholar] [CrossRef]
- Dotta, B.T.; Saroka, K.S.; Persinger, M.A. Increased photon emission from the head while imagining light in the dark is correlated with changes in electroencephalographic power: support for Bókkon’s biophoton hypothesis. Neurosci. Lett. 2012, 513(2), 151–154. [Google Scholar] [CrossRef] [PubMed]
- Feigin, V.L.; Brainin, M.; Norrving, B.; et al. World Stroke Organization: Global Stroke Fact Sheet 2025. Int. J. Stroke 2025, 20(2), 132–144. [Google Scholar] [CrossRef]
- Scholkmann, F.; Schraa, O.; van Wijk, R.; Wolf, M. The effect of venous and arterial occlusion of the arm on changes in tissue hemodynamics, oxygenation, and ultra-weak photon emission. Adv. Exp. Med. Biol. 2013, 765, 257–264. [Google Scholar] [CrossRef]
- Wijk, R.V.; Wijk, E.P.A.V. An introduction to human biophoton emission. Forsch. Komplementarmed Kl. Naturheilkd 2005, 12(2), 77–83. [Google Scholar] [CrossRef] [PubMed]
- Chai, W.; Zhang, C.; Dai, J. Biophoton imaging identification of delayed functional neural circuit injury after cerebral ischemia-reperfusion. J. Neurosci. Methods 2022, 367, 109438. [Google Scholar] [CrossRef]
- Pham, L.; Arroum, T.; Morse, P.T.; et al. Inhibitory Infrared Light Attenuates Mitochondrial Hyperactivity and Accelerates Restoration of Mitochondrial Homeostasis in an Oxygen-Glucose Deprivation/Reoxygenation Model. Antioxidants 2025, 14(9), 1119. [Google Scholar] [CrossRef]
- Yokomizo, S.; Kopp, T.; Roessing, M.; et al. Near-Infrared II Photobiomodulation Preconditioning Ameliorates Stroke Injury via Phosphorylation of eNOS. Stroke 2024, 55(6), 1641–1649. [Google Scholar] [CrossRef] [PubMed]
- Hamblin, M.R. Mechanisms and Mitochondrial Redox Signaling in Photobiomodulation. Photochem Photobiol. 2018, 94(2), 199–212. [Google Scholar] [CrossRef]
- Hoh Kam, J.; Clément, R.; Cantat-Moltrecht, T.; Billères, M.; Mitrofanis, J. Red and near-infrared light treatment can change the intensity of biophoton emissions in cell culture. Sci. Rep. 2025, 15(1), 38541. [Google Scholar] [CrossRef]
- Yu, D.T.; Li, R.X.; Sun, J.R.; Rong, X.W.; Guo, X.G.; Zhu, G.D. Global mortality, prevalence and disability-adjusted life years of Alzheimer’s disease and other dementias in adults aged 60 years or older, and the impact of the COVID-19 pandemic: a comprehensive analysis for the global burden of disease 2021. BMC Psychiatry 2025, 25(1), 503. [Google Scholar] [CrossRef] [PubMed]
- Ding, C.; Wu, Y.; Chen, X.; et al. Global, regional, and national burden and attributable risk factors of neurological disorders: The Global Burden of Disease study 1990-2019. Front Public Health 2022, 10, 952161. [Google Scholar] [CrossRef]
- 2024 Alzheimer’s disease facts and figures. Alzheimers Dement. 2024, 20(5), 3708–3821. [CrossRef]
- Tang, R.; Dai, J. Spatiotemporal imaging of glutamate-induced biophotonic activities and transmission in neural circuits. PLoS ONE 2014, 9(1), e85643. [Google Scholar] [CrossRef] [PubMed]
- Pontrello, C.G.; McWhirt, J.M.; Glabe, C.G.; Brewer, G.J. Age-Related Oxidative Redox and Metabolic Changes Precede Intraneuronal Amyloid-β Accumulation and Plaque Deposition in a Transgenic Alzheimer’s Disease Mouse Model. J. Alzheimers Dis. 2022, 90(4), 1501–1521. [Google Scholar] [CrossRef]
- Sefati, N.; Esmaeilpour, T.; Salari, V.; et al. Monitoring Alzheimer’s disease via ultraweak photon emission. iScience 2024, 27(1), 108744. [Google Scholar] [CrossRef]
- Kurian, P.; Obisesan, T.O.; Craddock, T.J.A. Oxidative species-induced excitonic transport in tubulin aromatic networks: Potential implications for neurodegenerative disease. J. Photochem Photobiol. B 2017, 175, 109–124. [Google Scholar] [CrossRef] [PubMed]
- Nairuz, T.; Heo, J.C.; Park, H.J.; Lee, J.H. Photobiomodulation at 660 nm Alleviates Alzheimer’s Disease Pathology Through Amyloid-β Reduction and SIRT1 Upregulation in the Hippocampus of 5xFAD Mice. Int. J. Mol. Sci. 2025, 26(19), 9569. [Google Scholar] [CrossRef]
- Gao, Y.; An, R.; Huang, X.; Liu, W.; Yang, C.; Wan, Q. Effectiveness of photobiomodulation for people with age-related cognitive impairment: a systematic review and meta-analysis. Lasers Med. Sci. 2023, 38(1), 237. [Google Scholar] [CrossRef]
- Zhu, G.; Tong, Q.; Ye, X.; et al. Phototherapy for Cognitive Function in Patients With Dementia: A Systematic Review and Meta-Analysis. Front Aging Neurosci. 2022, 14, 936489. [Google Scholar] [CrossRef]
- Zhu, Z.; Zhang, R.; Chi, Y.; Li, W.; Gong, W. Photobiomodulation effects on cognitive function - a systematic review and meta-analysis of randomized controlled trials. Lasers Med. Sci. 2025, 40(1), 234. [Google Scholar] [CrossRef]
- Ghaffari, M.K.; Sefati, N.; Esmaeilpour, T.; Salari, V.; Oblak, D.; Simon, C. The impact of ketamine and thiopental anesthesia on ultraweak photon emission and oxidative-nitrosative stress in rat brains. Front Syst. Neurosci. 2025, 19, 1502589. [Google Scholar] [CrossRef] [PubMed]
- Yoon, Y.Z.; Kim, J.; Lee, B.C.; Kim, Y.U.; Lee, S.K.; Soh, K.S. Changes in ultraweak photon emission and heart rate variability of epinephrine-injected rats. Gen. Physiol. Biophys. 2005, 24(2), 147–159. [Google Scholar] [PubMed]
- Zapata, F.; Pastor-Ruiz, V.; Ortega-Ojeda, F.; Montalvo, G.; Ruiz-Zolle, A.V.; García-Ruiz, C. Human ultra-weak photon emission as non-invasive spectroscopic tool for diagnosis of internal states – A review. J. Photochem. Photobiol. B Biol. 2021, 216, 112141. [Google Scholar] [CrossRef]
- Hameroff, S.; Penrose, R. Consciousness in the universe: a review of the “Orch OR” theory. Phys. Life Rev. 2014, 11(1), 39–78. [Google Scholar] [CrossRef]
- McQuaid, J.R.; Buelt, A.; Capaldi, V.; et al. The Management of Major Depressive Disorder: Synopsis of the 2022 U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guideline. Ann. Intern Med. 2022, 175(10), 1440–1451. [Google Scholar] [CrossRef]
- Kosanovic Rajacic, B.; Sagud, M.; Pivac, N.; Begic, D. Illuminating the way: the role of bright light therapy in the treatment of depression. Expert Rev. Neurother. 2023, 23(12), 1157–1171. [Google Scholar] [CrossRef] [PubMed]
- Seok, J.W.; Kim, K.; Kim, J.U.; Kim, J.D. Effect of photobiomodulation intervention for depressive symptoms: A systematic review and meta-analysis. J. Affect Disord. 2026, 393 Pt B, 120413. [Google Scholar] [CrossRef]
- Coelho, D.R.A.; Tural, Ü.; Hurtado Puerto, A.M.; et al. Neurometabolite Changes After Transcranial Photobiomodulation in Major Depressive Disorder: A Randomized Controlled Trial Investigating Dose-Dependent Effects. J. Clin. Med. 2025, 14(10), 3402. [Google Scholar] [CrossRef]
- O’Brien, M.S.; Richter, E.; Woodward, T.; Bradshaw, H.B.; McDougall, J.J. Visual exposure to green light therapy reduces knee joint pain and alters the lipidome in osteoarthritic rats. Pain 2025, 166(6), 1274–1284. [Google Scholar] [CrossRef]
- Tang, Y.L.; Liu, A.L.; Lv, S.S.; et al. Green light analgesia in mice is mediated by visual activation of enkephalinergic neurons in the ventrolateral geniculate nucleus. Sci. Transl. Med. 2022, 14(674), eabq6474. [Google Scholar] [CrossRef]
- Martin, L.; Porreca, F.; Mata, E.I.; et al. Green Light Exposure Improves Pain and Quality of Life in Fibromyalgia Patients: A Preliminary One-Way Crossover Clinical Trial. Pain Med. 2021, 22(1), 118–130. [Google Scholar] [CrossRef]
- Zangari, A.; Micheli, D.; Galeazzi, R.; Tozzi, A. Node of Ranvier as an Array of Bio-Nanoantennas for Infrared Communication in Nerve Tissue. Sci. Rep. 2018, 8(1), 539. [Google Scholar] [CrossRef] [PubMed]
- Zeng, H.; Zhang, Y.; Ma, Y.; Li, S. Electromagnetic modeling and simulation of the biophoton propagation in myelinated axon waveguide. Appl. Opt. 2022, 61(14), 4013–4021. [Google Scholar] [CrossRef] [PubMed]
- Nagatsu, T.; Nakashima, A.; Watanabe, H.; Ito, S.; Wakamatsu, K. Neuromelanin in Parkinson’s Disease: Tyrosine Hydroxylase and Tyrosinase. Int. J. Mol. Sci. 2022, 23(8), 4176. [Google Scholar] [CrossRef]
- Wakamatsu, K.; Nakao, K.; Tanaka, H.; et al. The Oxidative Pathway to Dopamine-Protein Conjugates and Their Pro-Oxidant Activities: Implications for the Neurodegeneration of Parkinson’s Disease. Int. J. Mol. Sci. 2019, 20(10), 2575. [Google Scholar] [CrossRef]
- Zucca, F.A.; Segura-Aguilar, J.; Ferrari, E.; et al. Interactions of iron, dopamine and neuromelanin pathways in brain aging and Parkinson’s disease. Prog. Neurobiol. 2017, 155, 96–119. [Google Scholar] [CrossRef]
- Sławińska, D.; Sławiński, J. Ultraweak photon emission in model reactions of the in vitro formation of eumelanins and pheomelanins. Pigment Cell Res. 1987, 1(3), 171–175. [Google Scholar] [CrossRef] [PubMed]
- Feldman, E.L.; Goutman, S.A.; Petri, S.; et al. Amyotrophic lateral sclerosis. Lancet 2022, 400(10360), 1363–1380. [Google Scholar] [CrossRef]
- Obrador, E.; Salvador-Palmer, R.; López-Blanch, R.; Jihad-Jebbar, A.; Vallés, S.L.; Estrela, J.M. The Link between Oxidative Stress, Redox Status, Bioenergetics and Mitochondria in the Pathophysiology of ALS. Int. J. Mol. Sci. 2021, 22(12), 6352. [Google Scholar] [CrossRef]
- Arnold, F.J.; Putka, A.F.; Raychaudhuri, U.; et al. Revisiting Glutamate Excitotoxicity in Amyotrophic Lateral Sclerosis and Age-Related Neurodegeneration. Int. J. Mol. Sci. 2024, 25(11), 5587. [Google Scholar] [CrossRef] [PubMed]
- Goutman, S.A.; Hardiman, O.; Al-Chalabi, A.; et al. Emerging insights into the complex genetics and pathophysiology of amyotrophic lateral sclerosis. Lancet Neurol. 2022, 21(5), 465–479. [Google Scholar] [CrossRef]
- Du, J.; Deng, T.; Cao, B.; Wang, Z.; Yang, M.; Han, J. The application and trend of ultra-weak photon emission in biology and medicine. Front Chem. 2023, 11, 1140128. [Google Scholar] [CrossRef] [PubMed]
- Murugan, N.J.; Persinger, M.A.; Karbowski, L.M.; Dotta, B.T. Ultraweak Photon Emissions as a Non-Invasive, Early-Malignancy Detection Tool: An In Vitro and In Vivo Study. Cancers 2020, 12(4), 1001. [Google Scholar] [CrossRef]
- Kim, J.; Choi, C.; Lim, J.; et al. Measurements of spontaneous ultraweak photon emission and delayed luminescence from human cancer tissues. J. Altern. Complement Med. 2005, 11(5), 879–884. [Google Scholar] [CrossRef]
- Scordino, A.; Baran, I.; Gulino, M.; et al. Ultra-weak delayed luminescence in cancer research: a review of the results by the ARETUSA equipment. J. Photochem Photobiol. B 2014, 139, 76–84. [Google Scholar] [CrossRef]
- Takeda, M.; Kobayashi, M.; Takayama, M.; et al. Biophoton detection as a novel technique for cancer imaging. Cancer Sci. 2004, 95(8), 656–661. [Google Scholar] [CrossRef]
- Zhao, X.; Pang, J.; Fu, J.; et al. Spontaneous photon emission: A promising non-invasive diagnostic tool for breast cancer. J. Photochem Photobiol. B 2017, 166, 232–238. [Google Scholar] [CrossRef]
- Hanahan, D.; Weinberg, R.A. Hallmarks of cancer: the next generation. Cell. 2011, 144(5), 646–674. [Google Scholar] [CrossRef]
- Grunt, T.W.; Heller, G. A critical appraisal of the relative contribution of tissue architecture, genetics, epigenetics and cell metabolism to carcinogenesis. Prog. Biophys. Mol. Biol. 2023, 182, 26–33. [Google Scholar] [CrossRef] [PubMed]
- Yuan, Y.; Li, H.; Pu, W.; et al. Cancer metabolism and tumor microenvironment: fostering each other? Sci. China Life Sci. 2022, 65(2), 236–279. [Google Scholar] [CrossRef] [PubMed]
- Hirschey, M.D.; DeBerardinis, R.J.; Diehl, A.M.E.; et al. Dysregulated metabolism contributes to oncogenesis. Semin Cancer Biol. 2015, 35 Suppl, S129–S150. [Google Scholar] [CrossRef] [PubMed]
- Levin, M. Bioelectrical approaches to cancer as a problem of the scaling of the cellular self. Prog. Biophys. Mol. Biol. 2021, 165, 102–113. [Google Scholar] [CrossRef] [PubMed]
- Mathews, J.; Levin, M. Cancer’s unique bioelectric properties: From cells to body-wide networks: Comment on: “The distinguishing electrical properties of cancer cells” by Elisabetta Di Gregorio, Simone Israel, Michael Staelens, Gabriella Tankel, Karthik Shankar, and Jack A. Tuszynski (this issue). Phys. Life Rev. 2023, 47, 113–115. [Google Scholar] [CrossRef]
- Chernet, B.T.; Adams, D.S.; Lobikin, M.; Levin, M. Use of genetically encoded, light-gated ion translocators to control tumorigenesis. Oncotarget 2016, 7(15), 19575–19588. [Google Scholar] [CrossRef]
- Hamblin, M.R. Do Biophotons Play Any Role in Transcranial Photobiomodulation of the Brain? Photobiomodul Photomed. Laser Surg. 2022, 40(11), 731–733. [Google Scholar] [CrossRef]
| Title | Study | Experimental Model / Detection Method | Key Finding(s) | Proposed Mechanism | Relevance to CNS/UPE |
| Ultraweak biochemiluminescence detected from rat hippocampal slices | Isojima et al., 1995 | In vitro rat hippocampal slices; silicon avalanche photodiode (single photon detector) | Early evidence that mammalian neural tissue emits measurable UPE; K⁺ increased UPE and TTX suppressed it. | Activity-dependent oxidative metabolism and mitochondrial ROS generate UPE. | Foundational evidence linking neuronal activity to photon emission. |
| Activity-dependent neural tissue oxidation emits intrinsic ultraweak photons | Kataoka et al., 2001 | Cultured rat cerebellar neurons; Photomultiplier tube (PMT) | Depolarization increased UPE; TTX/Ca²⁺ removal reduced it; DNPH nearly abolished emission. | Oxidized molecules generate UPE in neural cells. | Mechanistic evidence connecting excitation, oxidation, and photon emission. |
| In vivo imaging of spontaneous ultraweak photon emission from a rat’s brain correlated with cerebral energy metabolism and oxidative stress | Kobayashi et al., 1999 | In vivo anesthetized rats + brain slices; PMT, EEG | Brain UPE correlated with EEG activity and oxygenation, K⁺ increased UPE and decreased glucose suppressed it. Rotenone initially decreased (suspected metabolic block) but then increased UPE (suspected ROS buildup). | Cortical UPE appears to reflect mitochondrial respiration and oxidative stress. | In vivo CNS UPE study supporting metabolic biomarker framework. |
| Spatiotemporal imaging of glutamate-induced biophotonic activities and transmission in neural circuits | Tang & Dai, 2014b | Mouse brain slices; Electron-measuring Charge Coupled Device (EM-CCD) | Glutamate induced structured biophotonic activity characterized by initiation, maintenance, washout, and reapplication phases. Signals propagated along white matter tracts and hippocampal circuits and were attenuated by microtubule-related perturbation. | Maintenance phase depended on neuronal firing, Ca²⁺ signaling, and oxidative metabolism, while initiation persisted despite blockade, suggesting coupling between metabolic and possible non-canonical photonic processes. PP2A inhibition reduced axonal UPE, implicating cytoskeletal involvement. | Experimental evidence for activity-dependent, circuit-level UPE dynamics; foundation for hypotheses involving axonal and microtubule-associated photonic signaling. |
| Exploring ultraweak photon emissions as optical markers of brain activity | Casey et al., 2025 | Human scalp PMT and EEG recordings | Human scalp UPE showed task-dependent slow oscillatory structure and partial EEG correlations. | UPE likely reflects slow metabolic/redox dynamics rather than direct firing. | Human feasibility study combining EEG and UPE with evidence suggesting metabolic coupling. |
| Effect of methamphetamine on ultraweak photon emission and level of reactive oxygen species in male rat brain | Esmaeilpour et al., 2023 | In vivo rat study; PMT | Methamphetamine increased ROS and UPE in a region-specific manner, strongest in the motor cortex. | Oxidative stress and mitochondrial dysfunction drive photon emission. | Supports UPE as marker of neurotoxic oxidative stress. |
| Changes in ultraweak photon emission and heart rate variability of epinephrine-injected rats | Yoon et al., 2005 | In vivo rat study; PMT, EEG/ECG | Epinephrine altered UPE in parallel with changes in autonomic tone and heart rate variability | Catecholamine oxidation and ROS generation may alter UPE. | Potentially links systemic neurochemical state to photon emission. |
| Spectral blueshift of biophotonic activity and transmission in the ageing mouse brain | Chen et al., 2020 | Mouse brain slices; biophoton spectral analysis device (BSAD) | Aged mice showed spectral blueshift of glutamate-induced UPE. | Altered NMDA receptor signaling and mitochondrial inefficiency. | Supports spectral UPE changes as markers of altered neural metabolism. |
| Human high intelligence is involved in spectral redshift of biophotonic activities in the brain | Wang et al., 2016 | Human and animal neural tissue | Human neural tissue showed relative redshift of glutamate-induced UPE compared to other animals. | Species-dependent metabolic and signaling differences may alter spectra. | Suggests possible biologically meaningful spectral variation. |
| Photons detected in the active nerve by photographic technique | Zangari et al., 2021 | Excised nerve tissue with silver autography | Electrical stimulation increased photon-related silver deposition at nodes of Ranvier. | Nodal ionic activity and associated processes may generate localized photon emission during axonal conduction. | Supports axonal activity-dependent UPE. |
| Are there optical communication channels in the brain? | Zarkeshian et al., 2018 | Modeling and review | Myelinated axons are speculated to physically support optical waveguiding. | Refractive index properties of myelin could support photon propagation. | Influential waveguide hypothesis paper. |
| Electromagnetic modeling and simulation of the biophoton propagation in myelinated axon waveguide | Zeng et al., 2022 | Simulation/modeling study | Myelin geometry influences optimal photon propagation wavelengths; increased myelination was associated with superior modeled propagation of redshifted light. | Myelinated axons may function as optical waveguides. | May support physical plausibility of neural photonic propagation. |
| Oxidative species-induced excitonic transport in tubulin aromatic networks: Potential implications for neurodegenerative disease | Kurian et al., 2017 | Computational/theoretical modeling | Proposed excitonic energy transfer along microtubule aromatic networks. | Aromatic amino acids within microtubules may absorb oxidative photon energy and support resonance energy transfer, potentially altered by tau-mediated microtubule disruption. | Mechanistic bridge between oxidative stress and microtubule photonics with potential applications to tauopathies. |
| Biophoton signal transmission and processing in the brain | Tang & Dai 2014a | Narrative review | Summarized evidence for neuronal/glial UPE and potential information processing roles. | Optical waveguiding, chromophore interactions, and photonic coding hypotheses. | Major conceptual framework paper. |
| Title | Study | Experimental Model / Detection Method | Main UPE Finding | Proposed Clinical Relevance |
| Stroke / Ischemia | ||||
| In vivo imaging of spontaneous ultraweak photon emission from a rat’s brain correlated with cerebral energy metabolism and oxidative stress | Kobayashi et al., 1999 | In vivo rats; Photomultiplier tube (PMT) and EEG | Brain UPE decreased with ischemia/glucose deprivation and increased with hyperoxia. | Supports UPE as a potential marker of ischemic cerebral injury. |
| Biophoton imaging identification of delayed functional neural circuit injury after cerebral ischemia-reperfusion | Chai et al., 2021 | Rat brain slices; Electron-measuring Charge Coupled Device (EM-CCD) | Glutamate-evoked biophotonic activity remained impaired despite apparent structural recovery after stroke. | Suggests UPE may detect persistent post-ischemic circuit dysfunction. |
| The effect of venous and arterial occlusion of the arm on changes in tissue hemodynamics, oxygenation, and ultra-weak photon emission | Scholkmann et al., 2013 | Human forearm ischemia model; PMT and Near-Infrared Spectroscopy (NIRS) | UPE decreased during arterial occlusion and increased during reperfusion, correlating nonlinearly with tissue oxygenation metrics. | Supports UPE as a marker of ischemia, reperfusion, and slow oxidative metabolic dynamics associated with oxygenation status. |
| Alzheimer’s Disease / Dementia / Aging | ||||
| Monitoring Alzheimer's disease via ultraweak photon emission | Sefati et al., 2024 | In vivo rat; PMT | Hippocampal UPE increased in AD-like rats and correlated with oxidative stress and lipid peroxidation, partially rescued by donepezil administration | Supports UPE as a potential biomarker of AD-related metabolic dysfunction and treatment response |
| Reduced biophotonic activities and spectral blueshift in Alzheimer’s disease and vascular dementia models with cognitive impairment | Wang et al., 2023 | Rat brain slices; EMCCD | Alzheimer’s disease and Vascular dementia models showed reduced glutamate-induced UPE and a spectral blueshift, partially reversed by GluN2B antagonism. | Suggests altered glutamatergic and metabolic photonic responses may reflect synaptic dysfunction and impaired neural efficiency in neurodegeneration. |
| Spectral blueshift of biophotonic activity and transmission in the ageing mouse brain | Chen et al., 2020 | Mouse brain slices; biophoton spectral analysis device (BSAD) | Aging was associated with spectral blueshift of glutamate-induced UPE. | Supports UPE spectral properties as potential markers of age-related metabolic decline, potentially similar to the blueshift observed in models of neurodegeneration. |
| Oxidative species-induced excitonic transport in tubulin aromatic networks: Potential implications for neurodegenerative disease | Kurian et al., 2017 | Computational/theoretical modeling | Modeling suggested tau-related microtubule disruption may impair excitonic energy transfer within tubulin networks. | Theoretical framework linking oxidative stress, tau pathology, and altered UPE. |
| Anesthesia / Consciousness | ||||
| The impact of ketamine and thiopental anesthesia on ultraweak photon emission and oxidative-nitrosative stress in rat brains | Ghaffari et al., 2025 | Isolated rat brains; PMT | Ketamine increased UPE while thiopental decreased it although both suppress neural activity. | Suggests anesthetics differentially alter UPE. |
| Biophotonic Activity and Transmission Mediated by Mutual Actions of Neurotransmitters are Involved in the Origin and Altered States of Consciousness | Chai et al., 2018 | Mouse brain slices; EMCCD | Glutamate induced sustained UPE, while neurotransmitters differentially altered the signal: Acetylcholine enhanced activity, dopamine produced transient enhancement, and serotonin suppressed emission. Propofol dose-dependently inhibited glutamate-driven UPE and abolished neurotransmitter effects. | Suggests neurotransmitter balance and anesthetic state influence neural UPE. |
| Increased photon emission from the head while imagining light in the dark is correlated with changes in electroencephalographic power | Dotta et al., 2012 | Human scalp PMT recordings and EEG | Visual imagery increased scalp UPE and correlated with EEG. | Suggests cognitive state may influence UPE emissions. |
| Exploring ultraweak photon emissions as optical markers of brain activity | Casey et al., 2025 | Human scalp PMT and EEG recordings | Scalp UPE exhibited slow oscillatory structure and task-dependent changes. | Suggests cognitive tasks may influence UPE emissions. |
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