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Published Dec 31, 2023

Fuzhou Wang  

Abstract

Neuro-WiFi, as a non-physical connection-related neural network that efficiently links various regions of the brain, facilitates swift transfer of information and fostering communication among neurons. It is a significant advancement in neuroscience, providing valuable understanding of the intricate connections between neurons and opening up possibilities for precise interventions. This unique neural connection entails the transfer of information between remote parts of the brain via a network resembling WiFi signal. Neuro-WiFi has the potential to greatly enhance our understanding of how information is processed and sent in the brain by facilitating fast and accurate communication over long distances. Envision the ability to modify the neuro-WiFi network to enhance cognitive performance or restore impaired neural circuits. Furthermore, this neuronal connection could have substantial ramifications for the development of therapeutic approaches to address neurological conditions like Alzheimer’s disease or epilepsy. Despite the remaining knowledge gaps around this remarkable phenomenon, through additional investigations, we believe that the mysteries of neuro-WiFi would be extensively uncovered and precise therapies that could profoundly transform our comprehension of brain function and enhance patient outcomes would be provided in the future.


 

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Keywords

Neuro-WiFi, Information Communication, Interventional Potential, Neurobiological Activities, External Symphonic Therapy

References
1. López Lloreda C. Wi-Fi for neurons: First map of wireless nerve signals unveiled in worms. Nature 2023; 623(7989):894-895. DOI: https://doi.org/10.1038/d41586-023-03619-w

2. National Research Council (US) and Institute of Medicine (US) Committee on Integrating the Science of Early Childhood Development; Shonkoff JP, Phillips DA, editors. From Neurons to Neighborhoods: The Science of Early Childhood Development. Washington (DC): National Academies Press (US); 2000. 8, The Developing Brain. Available at: https://www.ncbi.nlm.nih.gov/books/NBK225562/

3. Young MJ, Lin DJ, Hochberg LR. Brain-computer interfaces in neurorecovery and neurorehabilitation. Semin Neurol 2021; 41(2):206-216. DOI: https://doi.org/10.1055/s-0041-1725137

4. Zuccaroli I, Lucke-Wold B, Palla A, Eremiev A, Sorrentino Z, Zakare-Fagbamila R, McNulty J, Christie C, Chandra V, Mampre D. Neural bypasses: Literature review and future directions in developing artificial neural connections. OBM Neurobiol 2023; 7(1):158. DOI: https://doi.org/10.21926/obm.neurobiol.2301158

5. Gerrow K, El-Husseini A. Cell adhesion molecules at the synapse. Front Biosci 2006; 11:2400-2419. DOI: https://doi.org/10.2741/1978

6. Kennedy MB. Synaptic signaling in learning and memory. Cold Spring Harb Perspect Biol 2013; 8(2):a016824. DOI: https://doi.org/10.1101/cshperspect.a016824

7. Südhof TC. Towards an understanding of synapse formation. Neuron 2018; 100(2):276-293. DOI: https://doi.org/10.1016/j.neuron.2018.09.040

8. Donato A, Kagias K, Zhang Y, Hilliard MA. Neuronal sub-compartmentalization: a strategy to optimize neuronal function. Biol Rev Camb Philos Soc 2019; 94(3):1023-1037. DOI: https://doi.org/10.1111/brv.12487

9. Bromfield EB, Cavazos JE, Sirven JI, editors. An Introduction to Epilepsy. West Hartford (CT): American Epilepsy Society; 2006. Chapter 1, Basic Mechanisms Underlying Seizures and Epilepsy. Available at: https://www.ncbi.nlm.nih.gov/books/NBK2510/

10. National Institutes of Health (US); Biological Sciences Curriculum Study. NIH Curriculum Supplement Series. Bethesda (MD): National Institutes of Health (US); 2007. Information about the Brain. Available at: https://www.ncbi.nlm.nih.gov/books/NBK20367/

11. Teleanu RI, Niculescu AG, Roza E, Vladâcenco O, Grumezescu AM, Teleanu DM. Neurotransmitters-Key factors in neurological and neurodegenerative disorders of the central nervous system. Int J Mol Sci 2022; 23(11):5954. DOI: https://doi.org/10.3390/ijms23115954

12. Purves D, Augustine GJ, Fitzpatrick D, et al., editors. Neuroscience. 2nd edition. Sunderland (MA): Sinauer Associates; 2001. Two Families of Postsynaptic Receptors. Available at: https://www.ncbi.nlm.nih.gov/books/NBK10855/

13. Smart TG, Paoletti P. Synaptic neurotransmitter-gated receptors. Cold Spring Harb Perspect Biol 2012; 4(3):a009662. DOI: https://doi.org/10.1101/cshperspect.a009662

14. Franco R, Reyes-Resina I, Navarro G. Dopamine in health and disease: Much More Than a Neurotransmitter. Biomedicines 2021; 9(2):109. DOI: https://doi.org/10.3390/biomedicines9020109

15. Chu A, Wadhwa R. Selective Serotonin Reuptake Inhibitors. [Updated 2023 May 1]. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2023 Jan. Available at: https://www.ncbi.nlm.nih.gov/books/NBK554406/

16. Atzeni D, Bacciu D, Mazzei D, Prencipe G. A systematic review of Wi-Fi and machine learning integration with topic modeling techniques. Sensors 2022; 22(13):4925. DOI: https://doi.org/10.3390/s22134925

17. Lovinger DM. Communication networks in the brain: neurons, receptors, neurotransmitters, and alcohol. Alcohol Res Health 2008; 31(3):196-214.

18. Laurindo S, Moraes R, Montez C, Vasques F. Combining network coding and retransmission techniques to improve the communication reliability of wireless sensor network. Information 2021; 12(5):184. DOI: https://doi.org/10.3390/info12050184

19. Zhu K, Wang Z, Chen Y, Wei G. Neural-network-based set-membership fault estimation for 2-D systems under encoding-decoding mechanism. IEEE Trans Neural Netw Learn Syst 2023; 34(2):786-798. DOI: https://doi.org/10.1109/TNNLS.2021.3102127

20. Hoffmann S, Beste C. A perspective on neural and cognitive mechanisms of error commission. Front Behav Neurosci 2015; 9:50. DOI: https://doi.org/10.3389/fnbeh.2015.00050

21. Buzsáki G. Neural syntax: Cell assemblies, synapsembles, and readers. Neuron 2010; 68(3):362-385. DOI: https://doi.org/10.1016/j.neuron.2010.09.023

22. Hatsopoulos NG, Donoghue JP. The science of neural interface systems. Annu Rev Neurosci 2009; 32:249-266. DOI: https://doi.org/10.1146/annurev.neuro.051508.135241

23. Sengupta B, Stemmler MB, Friston KJ. Information and efficiency in the nervous system--A synthesis. PLoS Comput Biol 2013; 9(7):e1003157. DOI: https://doi.org/10.1371/journal.pcbi.1003157

24. Vergara RC, Jaramillo-Riveri S, Luarte A, Moënne-Loccoz C, Fuentes R, Couve A, Maldonado PE. The energy homeostasis principle: Neuronal energy regulation drives local network dynamics generating behavior. Front Comput Neurosci 2019; 13:49. DOI: https://doi.org/10.3389/fncom.2019.00049 . Erratum in: Front Comput Neurosci 2020; 14:599670

25. Dun XP, Parkinson DB. Role of Netrin-1signaling in nerve regeneration. Int J Mol Sci 2017; 18(3):491. DOI: https://doi.org/10.3390/ijms18030491

26. Washbourne P, Dityatev A, Scheiffele P, Biederer T, Weiner JA, Christopherson KS, El-Husseini A. Cell adhesion molecules in synapse formation. J Neurosci 2004; 24(42):9244-9249. DOI: https://doi.org/10.1523/JNEUROSCI.3339-04.2004

27. McAllister AK. Dynamic aspects of CNS synapse formation. Annu Rev Neurosci 2007; 30:425-450. DOI: https://doi.org/10.1146/annurev.neuro.29.051605.112830

28. Tessier CR, Broadie K. Activity-dependent modulation of neural circuit synaptic connectivity. Front Mol Neurosci 2009; 2:8. DOI: https://doi.org/10.3389/neuro.02.008.2009

29. Yasuda M, Nagappan-Chettiar S, Johnson-Venkatesh EM, Umemori H. An activity-dependent determinant of synapse elimination in the mammalian brain. Neuron 2021; 109(8):1333-1349.e6. DOI: https://doi.org/10.1016/j.neuron.2021.03.006

30. White EJ, Hutka SA, Williams LJ, Moreno S. Learning, neural plasticity and sensitive periods: implications for language acquisition, music training and transfer across the lifespan. Front Syst Neurosci 2013; 7:90. DOI: https://doi.org/10.3389/fnsys.2013.00090

31. Haas MA, Ngo L, Li SS, Schleich S, Qu Z, Vanyai HK, Cullen HD, Cardona-Alberich A, Gladwyn-Ng IE, Pagnamenta AT, Taylor JC, Stewart H, Kini U, Duncan KE, Teleman AA, Keays DA, Heng JI. De novo mutations in denr disrupt neuronal development and link congenital neurological disorders to faulty mRNA translation re-initiation. Cell Rep 2016; 15(10):2251-2265. DOI: https://doi.org/10.1016/j.celrep.2016.04.090

32. Goikolea-Vives A, Stolp HB. Connecting the neurobiology of developmental brain injury: Neuronal arborisation as a regulator of dysfunction and potential therapeutic target. Int J Mol Sci 2021; 22(15):8220. DOI: https://doi.org/10.3390/ijms22158220

33. Jackman SL, Regehr WG. The mechanisms and functions of synaptic facilitation. Neuron 2017; 94(3):447-464. DOI: https://doi.org/10.1016/j.neuron.2017.02.047

34. Bliss TV, Cooke SF. Long-term potentiation and long-term depression: A clinical perspective. Clinics (Sao Paulo). 2011; 66 Suppl 1(Suppl 1):3-17. DOI: https://doi.org/10.1590/s1807-59322011001300002

35. Gipson CD, Olive MF. Structural and functional plasticity of dendritic spines - Root or result of behavior? Genes Brain Behav. 2017; 16(1):101-117. DOI: https://doi.org/10.1111/gbb.12324

36. Abraham WC, Jones OD, Glanzman DL. Is plasticity of synapses the mechanism of long-term memory storage? NPJ Sci Learn 2019; 4:9. DOI: https://doi.org/10.1038/s41539-019-0048-y

37. Stampanoni Bassi M, Iezzi E, Gilio L, Centonze D, Buttari F. Synaptic plasticity shapes brain connectivity: Implications for network topology. Int J Mol Sci 2019; 20(24):6193. DOI: https://doi.org/10.3390/ijms20246193

38. Cornell J, Salinas S, Huang HY, Zhou M. Microglia regulation of synaptic plasticity and learning and memory. Neural Regen Res 2022; 17(4):705-716. DOI: https://doi.org/10.4103/1673-5374.322423

39. Lepeta K, Lourenco MV, Schweitzer BC, Martino Adami PV, Banerjee P, Catuara-Solarz S, de La Fuente Revenga M, Guillem AM, Haidar M, Ijomone OM, Nadorp B, Qi L, Perera ND, Refsgaard LK, Reid KM, Sabbar M, Sahoo A, Schaefer N, Sheean RK, Suska A, Verma R, Vicidomini C, Wright D, Zhang XD, Seidenbecher C. Synaptopathies: Synaptic dysfunction in neurological disorders - A review from students to students. J Neurochem 2016; 138(6):785-805. DOI: https://doi.org/10.1111/jnc.13713

40. The principles of nerve cell communication. Alcohol Health Res World 1997; 21(2):107-108.

41. Caire MJ, Reddy V, Varacallo M. Physiology, Synapse. [Updated 2023 Mar 27]. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2023 Jan. Available at: https://www.ncbi.nlm.nih.gov/books/NBK526047/

42. Alberts B, Johnson A, Lewis J, et al. Molecular Biology of the Cell. 4th edition. New York: Garland Science; 2002. Ion Channels and the Electrical Properties of Membranes. Available at: https://www.ncbi.nlm.nih.gov/books/NBK26910/

43. National Institutes of Health (US); Biological Sciences Curriculum Study. NIH Curriculum Supplement Series. Bethesda (MD): National Institutes of Health (US); 2007. Information about Mental Illness and the Brain. Available at: https://www.ncbi.nlm.nih.gov/books/NBK20369/

44. Wang Y. The application of computer-based multimedia technology in cognitive computing. Comput Intell Neurosci 2022; 2022:3354576. DOI: https://doi.org/10.1155/2022/3354576

45. Poalelungi DG, Musat CL, Fulga A, Neagu M, Neagu AI, Piraianu AI, Fulga I. Advancing patient care: How artificial intelligence is transforming healthcare. J Pers Med 2023; 13(8):1214. DOI: https://doi.org/10.3390/jpm13081214

46. Kawala-Sterniuk A, Browarska N, Al-Bakri A, Pelc M, Zygarlicki J, Sidikova M, Martinek R, Gorzelanczyk EJ. Summary of over fifty years with brain-computer interfaces-A review. Brain Sci 2021; 11(1):43. DOI: https://doi.org/10.3390/brainsci11010043

47. Collinger JL, Foldes S, Bruns TM, Wodlinger B, Gaunt R, Weber DJ. Neuroprosthetic technology for individuals with spinal cord injury. J Spinal Cord Med. 2013; 36(4):258-272. DOI: https://doi.org/10.1179/2045772313Y.0000000128

48. National Research Council (US) Committee on Research Opportunities in Biology. Opportunities in Biology. Washington (DC): National Academies Press (US); 1989. 6, The Nervous System and Behavior. Available at: https://www.ncbi.nlm.nih.gov/books/NBK217810/

49. Zhang X, Ma Z, Zheng H, Li T, Chen K, Wang X, Liu C, Xu L, Wu X, Lin D, Lin H. The combination of brain-computer interfaces and artificial intelligence: Applications and challenges. Ann Transl Med 2020; 8(11):712. DOI: https://doi.org/10.21037/atm.2019.11.109

50. Mridha MF, Das SC, Kabir MM, Lima AA, Islam MR, Watanobe Y. Brain-computer interface: Advancement and challenges. Sensors (Basel) 2021; 21(17):5746. DOI: https://doi.org/10.3390/s21175746

51. Warwick K. Neuroengineering and neuroprosthetics. Brain Neurosci Adv 2018; 2:2398212818817499. DOI: https://doi.org/10.1177/2398212818817499

52. Adewole DO, Serruya MD, Harris JP, Burrell JC, Petrov D, Chen HI, Wolf JA, Cullen DK. The evolution of neuroprosthetic interfaces. Crit Rev Biomed Eng 2016; 44(1-2):123-152. DOI: https://doi.org/10.1615/CritRevBiomedEng.2016017198

53. Pancrazio JJ, Peckham PH. Neuroprosthetic devices: How far are we from recovering movement in paralyzed patients? Expert Rev Neurother 2009; 9(4):427-430. DOI: https://doi.org/10.1586/ern.09.12

54. Institute of Medicine (US) Committee on Health Research and the Privacy of Health Information: The HIPAA Privacy Rule; Nass SJ, Levit LA, Gostin LO, editors. Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research. Washington (DC): National Academies Press (US); 2009. 3, The Value, Importance, and Oversight of Health Research. Available at: https://www.ncbi.nlm.nih.gov/books/NBK9571/

55. Hillman EMC, Voleti V, Li W, Yu H. Light-sheet microscopy in neuroscience. Annu Rev Neurosci 2019; 42:295-313. DOI: https://doi.org/10.1146/annurev-neuro-070918-050357

56. Van Essen DC, Glasser MF. The human connectome project: Progress and prospects. Cerebrum 2016; 2016:cer-10-16.

57. Lee J, Kim HJ. Normal aging induces changes in the brain and neurodegeneration progress: Review of the structural, biochemical, metabolic, cellular, and molecular changes. Front Aging Neurosci 2022; 14:931536. DOI: https://doi.org/10.3389/fnagi.2022.931536

58. Pozo K, Goda Y. Unraveling mechanisms of homeostatic synaptic plasticity. Neuron 2010; 66(3):337-351. DOI: https://doi.org/10.1016/j.neuron.2010.04.028

59. Lei T, Chen R, Zhang S, Chen Y. Self-supervised deep clustering of single-cell RNA-seq data to hierarchically detect rare cell populations. Brief Bioinform 2023; 24(6):bbad335. DOI: https://doi.org/10.1093/bib/bbad335

60. Vlasov K, Van Dort CJ, Solt K. Optogenetics and chemogenetics. Methods Enzymol 2018; 603:181-196. DOI: https://doi.org/10.1016/bs.mie.2018.01.022

61. Boeldt D, McMahon E, McFaul M, Greenleaf W. Using virtual reality exposure therapy to enhance treatment of anxiety disorders: Identifying areas of clinical adoption and potential obstacles. Front Psychiatry 2019; 10:773. DOI: https://doi.org/10.3389/fpsyt.2019.00773

62. Cohen Kadosh R, Levy N, O’Shea J, Shea N, Savulescu J. The neuroethics of non-invasive brain stimulation. Curr Biol 2012; 22(4):R108-R111. DOI: https://doi.org/10.1016/j.cub.2012.01.013

63. Nieto-Escamez F, Cortés-Pérez I, Obrero-Gaitán E, Fusco A. Virtual reality applications in neurorehabilitation: Current panorama and challenges. Brain Sci 2023; 13(5):819. DOI: https://doi.org/10.3390/brainsci13050819

64. Georgiev DD, Georgieva I, Gong Z, Nanjappan V, Georgiev GV. Virtual reality for neurorehabilitation and cognitive enhancement. Brain Sci 2021; 11(2):221. DOI: https://doi.org/10.3390/brainsci11020221

65. Andersen RA, Hwang EJ, Mulliken GH. Cognitive neural prosthetics. Annu Rev Psychol 2010; 61:169-190, C1-C3. DOI: https://doi.org/10.1146/annurev.psych.093008.100503

66. Lorents A, Colin ME, Bjerke IE, Nougaret S, Montelisciani L, Diaz M, Verschure P, Vezoli J. Human brain project partnering projects meeting: Status quo and outlook. eNeuro 2023; 10(9):ENEURO.0091-23.2023. DOI: https://doi.org/10.1523/ENEURO.0091-23.2023
How to Cite
Wang, F. (2023). Neuro-WiFi: A Novel Neuronal Connection Underlies the Potential Interventional Target. Science Insights, 43(6), 1179–1196. https://doi.org/10.15354/si.23.re849
Section
Review