Correlation of different acupunctures and electroencephalogram devices in response to Alzheimer's disease, epilepsy, chronic and acute pain, and Parkinson's disease
DOI:
https://doi.org/10.47611/jsrhs.v13i4.8384Keywords:
Electroencephalogram, EEG, acupuncture, Alzheimer's disease, epilepsy, pain, Parkinson’s diseaseAbstract
Numerous studies have demonstrated the effectiveness of acupuncture in treating Alzheimer's disease (AD), epilepsy (EP), pain, and Parkinson's disease (PD). The acupoints used on different diseases should be different. This paper identifies the commonalities among these studies across different treatments. Additionally, electroencephalogram (EEG) has been reported to be useful in detecting AD, diagnosing EP, monitoring pain, and identifying PD. However, researchers need more consensus regarding the optimal signal-processing techniques for EEG in each disease. We will present what is the most prominent process for each condition. Furthermore, we explore the advantages of combining EEG with acupuncture. The results of this study will serve as a foundational direction for further in-depth research and implementation.
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Racke K et al (1989). Frequency-dependent effects of activation and inhibition of protein kinase C on neurohypophysial release of oxytocin and vasopressin [Journal] Naunyn Schmiedebergs Arch Pharmacol. https://link.springer.com/article/10.1007/BF00168653
Li, Wei, et al. (2016), High-Frequency Electroacupuncture Evidently Reinforces Hippocampal Synaptic Transmission in Alzheimer’s Disease Rats. Neural Regeneration Research, vol. 11, no. 5, 1 May 2016, pp. 801–806, www.ncbi.nlm.nih.gov/pmc/articles/PMC4904472/,
Chon, Tony Y., et al. (2019), Laser Acupuncture: A Concise Review. Medical Acupuncture, vol. 31, no. 3, June 2019, pp. 164–168, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604908
Understanding the Body Meridians (2024), https://www.katokamassagetherapy.com/understanding-body-meridians
Nayak, Chetan S. et al. (2020). EEG Normal Waveforms. PubMed, StatPearls Publishing, 2020. https://www.ncbi.nlm.nih.gov/books/NBK539805/
National Institute on Aging. (2021). What Is Alzheimer’s Disease? National Institute on Aging, 8 July 2021, https://www.nia.nih.gov/health/alzheimers-and-dementia/what-alzheimers-disease#:~:text=Alzheimer's%20disease%20is%20a%20brain,appear%20in%20their%20mid%2D60s
National Institute of Neurological Disorders and stroke. (2023). Epilepsy and Seizures | National Institute of Neurological Disorders and Stroke. Www.ninds.nih.gov, 28 Nov. 2023. https://catalog.ninds.nih.gov/sites/default/files/publications/epilepsy-and-seizures.pdf
National Institute on Aging. (2022). Parkinson’s Disease: Causes, Symptoms, and Treatments. 14 Apr. 2022, https://www.nia.nih.gov/health/parkinsons-disease/parkinsons-disease-causes-symptoms-and-treatments
UPMC (2024), Acute Pain Causes, Symptoms, and Treatments. https://www.upmc.com/services/pain-management/conditions/acute-pain
Nash (2024), “Acute Pain”, progressive pain & rehabilitation, https://drnashcares.com/acute-pain/
Watson, Stephanie (2017). What Is Chronic Pain Syndrome? WebMD, 18 May 2017, www.webmd.com/pain-management/chronic-pain-syndrome-overview
Wu, Liu, et al. (2023), Effect and Mechanism of Acupuncture on Alzheimer’s Disease: A Review. Frontiers in Aging Neuroscience, vol. 15, 3 Mar. 2023, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020224/
Yu, Chaochao et al. (2018). Acupoint Combinations Used for Treatment of Alzheimer’s Disease: A Data Mining Analysis. Journal of Traditional Chinese Medicine, vol. 38, no. 6, Dec. 2018, pp. 943–952. https://www.sciencedirect.com/science/article/pii/S0254627218309956
Horvath A. et al. (2018). EEG and ERP biomarkers of Alzheimer’s disease: A critical review. Frontiers in Bioscience (Landmark Edition), 23(2), 183–220. 10.2741/4587. https://www.imrpress.com/journal/FBL/23/2/10.2741/4587
Poil S.-S. et al. (2013). Integrative EEG biomarkers predict progression to Alzheimer’s disease at the MCI stage. Frontiers in Aging Neuroscience, 5. 10.3389/fnagi.2013.00058. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3789214/
Rossini P. M. et al. (2020). Early diagnosis of Alzheimer’s disease: The role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts. Clinical Neurophysiology, 131(6), 1287–1310. 10.1016/j.clinph.2020.03.003. https://acikerisim.medipol.edu.tr/xmlui/bitstream/handle/20.500.12511/5622/Guntekin,%20Bahar-2020.pdf?sequence=1
Tait L. et al. (2020). EEG microstate complexity for aiding early diagnosis of Alzheimer’s disease. Scientific Reports, 10(1), 17627. 10.1038/s41598-020-74790-7. https://www.nature.com/articles/s41598-020-74790-7
Besthorn C. et al. (1997). Discrimination of Alzheimer’s disease and normal aging by EEG data. Electroencephalography and Clinical Neurophysiology, 103(2), 241–248. 10.1016/s0013-4694(97)96562-7
Dauwels J. et al. (2010). Diagnosis of Alzheimer’s Disease from EEG Signals: Where Are We Standing? Current Alzheimer Research, 7(6), 487–505. 10.2174/156720510792231720
Babiloni C. et al. (2004). Mapping distributed sources of cortical rhythms in mild Alzheimer’s disease. A multicentric EEG study. NeuroImage, 22(1), 57–67. 10.1016/j.neuroimage.2003.09.028
Benwell C. S. Y. et al. (2020). EEG spectral power abnormalities and their relationship with cognitive dysfunction in patients with Alzheimer’s disease and type 2 diabetes. Neurobiology of Aging, 85, 83–95. 10.1016/j.neurobiolaging.2019.10.004
Brenner R. P. et al. (1986). Computerized EEG spectral analysis in elderly normal, demented and depressed subjects. Electroencephalography and Clinical Neurophysiology, 64(6), 483–492. 10.1016/0013-4694(86)90184-7
Meghdadi A. H. et al. (2021). Resting state EEG biomarkers of cognitive decline associated with Alzheimer’s disease and mild cognitive impairment. PLOS ONE, 16(2), e0244180. 10.1371/journal.pone.0244180
Neto E. et al. (2016). Regularized Linear Discriminant Analysis of EEG Features in Dementia Patients. Frontiers in Aging Neuroscience, 8. 10.3389/fnagi.2016.00273
Schreiter-Gasser U. et al. (1994). Quantitative EEG analysis in early onset Alzheimer’s disease: Correlations with severity, clinical characteristics, visual EEG and CCT. Electroencephalography and Clinical Neurophysiology, 90(4), 267–272. 10.1016/0013-4694(94)90144-9
Tait L. et al. (2019). Network substrates of cognitive impairment in Alzheimer’s Disease. Clinical Neurophysiology, 130(9), 1581–1595. 10.1016/j.clinph.2019.05.027
Kopčanová, Martina, et al. (2023). Resting-State EEG Signatures of Alzheimer’s Disease Are Driven by Periodic but Not Aperiodic Changes. BioRxiv (Cold Spring Harbor Laboratory), 12 June 2023, https://doi.org/10.1101/2023.06.11.544491.
Yin, Wei, et al. (2021) Acupuncture Therapy for Alzheimer’s Disease: The Effectiveness and Potential Mechanisms. The Anatomical Record, vol. 304, no. 11, 8 Oct. 2021, pp. 2397–2411, https://doi.org/10.1002/ar.24780
Chen, Shuping, et al. (2014). Acupuncture for Refractory Epilepsy: Role of Thalamus. Evidence-Based Complementary and Alternative Medicine, vol. 2014, 2014, pp. 1–8, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273587/#B7
Guo, Jianjun, et al. (2008). The Effect of Electroacupuncture on Spontaneous Recurrent Seizure and Expression of GAD67 MRNA in Dentate Gyrus in a Rat Model of Epilepsy. Brain Research, vol. 1188, Jan. 2008, pp. 165–172, https://doi.org/10.1016/j.brainres.2007.10.017
Brinkmann, Benjamin H., et al. (2015). Forecasting Seizures Using Bivariate Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy. PLOS ONE, vol. 10, no. 8, 4 Aug. 2015, p. e0133900, https://doi.org/10.1371/journal.pone.0133900.
G. Yogarajan, et al. (2023). EEG-Based Epileptic Seizure Detection Using Binary Dragonfly Algorithm and Deep Neural Network. Scientific Reports, vol. 13, no. 1, 18 Oct. 2023, https://doi.org/10.1038/s41598-023-44318-w
NCI (2021), Can Acupuncture Help Cancer Survivors with Chronic Pain? Www.cancer.gov, 22 Apr. 2021, www.cancer.gov/news-events/cancer-currents-blog/2021/acupuncture-for-pain-cancer-survivors.
Vickers, Andrew J., et al. (2012). Acupuncture for Chronic Pain – individual patient meta-analysis. Archives of Internal Medicine, vol. 172, no. 19, 22 Oct. 2012, p. 1444, https://jamanetwork.com/journals/jamainternalmedicine/article-abstract/1357513
Shen, J. (2001). Research on the neurophysiological mechanisms of acupuncture: review of selected studies and methodological issues. J Altern Complement Med. 2001; 7 Suppl 1:S121-7. https://pubmed.ncbi.nlm.nih.gov/11822627/
Cazalis, M. et al. (1985). The role of patterned burst and interburst interval on the excitation-coupling mechanisms in the isolated rat neural lobe. J. Physiol. (London) 369, 45– 60. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1192635/
Ulett, G.A., Han, S., & Han, J.S. (1998). Electroacupuncture: mechanisms and clinical application. Biol. Psychiatry 44, 129– 138. https://pubmed.ncbi.nlm.nih.gov/9646895/
Willer, J.C. et al (1982). Comparative effects of electroacupuncture and transcutaneous nerve stimulation on the human blink reflex. Pain 14, 267–278. https://pubmed.ncbi.nlm.nih.gov/6984165
Lin, J.G. et al. (2002). The effect of high and low-frequency electroacupuncture in pain after lower abdominal surgery. Pain 99, 509– 514. https://pubmed.ncbi.nlm.nih.gov/12406527/
Zhang, W. et al. (2003). Modulation of pain signal processing by electric acupoint stimulation: an electroencephalogram study. Beijing da Xue Xue Bao. Yi Xue Ban/Journal of Peking University. Health Sciences 35, 236–240.
Park, J.H. et al. (2010). Spinal GABA receptors mediate the suppressive effect of electroacupuncture on cold allodynia in rats. Brain Res. Mar 31; 1322:24-9.
Miranda, J. et al. (2015). Effect of pain chronification and chronic pain on an endogenous pain modulation circuit in rats. Neuroscience 286, 37–44. doi: 10.1016/j.neuroscience.2014.10.049
Litscher, Gerhard, (2006), Electroencephalogram-Entropy and Acupuncture,, Anesthesia & analgesia, international Anesthesia research society. https://journals.lww.com/anesthesia-analgesia/fulltext/2006/06000/electroencephalogram_entropy_and_acupuncture.29.aspx
Ma, Xin, et al.(2022). Potential Mechanisms of Acupuncture for Neuropathic Pain Based on Somatosensory System.Frontiers, 29 Aug. 2022, www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2022.940343/full#F2.
Catarina Ramos Pereira, et al. (2022) Effectiveness of Acupuncture in Parkinson’s Disease Symptoms—a Systematic Review. Healthcare, vol. 10, no. 11, 21 Nov. 2022, pp. 2334–2334,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690518
Fan, Jing, et al. (2022). Effectiveness of Acupuncture for Anxiety among Patients with Parkinson's Disease. JAMA Network Open, vol. 5, no. 9, Sept. 2022, p. e2232133, https://doi.org/10.1001/jamanetworkopen.2022.32133
Han, CX. et al. (2013) Investigation of EEG abnormalities in the early stage of Parkinson’s disease. Cogn Neurodyn 7, 351–359 (2013). https://doi.org/10.1007/s11571-013-9247-z
Lei, Suying, et al. (2023). Acupuncture Therapy for Parkinson’s Disease: A Case Report Demonstrating Symptomatic Improvement without Medication. Frontiers, 27 Dec. 2023, www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2023.1330054/full
Liang, P. et al. (2014). Acupuncture stimulation of taichong (Liv3) and hegu (LI4) modulates the default mode network activity in Alzheimer’s disease. Am. J. Alzheimer’s Dis. Other Dementias 29, 739–748. doi: 10.1177/1533317514536600. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10852898/
P. Rong, A. et at. (2014). An alternative therapy for drug-resistant epilepsy: transcutaneous auricular vagus nerve stimulation, Chinese Medical Journal, vol. 127, no. 2, pp. 300–304, 2014
Zhang, Yang, et al. (2021). Acupuncture as an Adjunctive Treatment for Post-Stroke Epilepsy: Protocol for a Randomized Controlled Trial. Frontiers in Neurology, vol. 12, 26 Aug. 2021, https://doi.org/10.3389/fneur.2021.711390
Yin, Ning (2022). Electroencephalogram Analysis of Magnetic Stimulation at Different Acupoints, Ning Yin, 2022, frontiers. https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2022.848308/full
Luo, Xiliu (2010). Complexity Analysis of EEG Signals Evoked by Acupuncture at ’Zusanli’ Acupoint (St36), https://www.researchgate.net/publication/252039403_Complexity_analysis_of_EEG_signals_evoked_by_manual_acupuncture
Li, Nuo. (2010) Analysis of EEG signals during acupuncture using spectral analysis Techniques, automation and logistics, 2010 IEEE International conf. https://www.researchgate.net/publication/224177386_Analysis_of_EEG_signals_during_acupuncture_using_spectral_analysis_techniques
Chen, Andrew C.N.,(2006) Mode and site of acupuncture modulation in the human brain: 3D (124-ch) EEG power spectrum mapping and source imaging. ScienceDirect, 2006. https://www.sciencedirect.com/science/article/abs/pii/S1053811905006245
Zhang, Ke. (2023) Altered brain functional networks after Quchi (LI 11) acupuncture: An EEG analysis, https://www.researchgate.net/publication/370039828_Altered_brain_functional_networks_after_Quchi_LI_11_acupuncture_An_EEG_analysis
Choi, Kwang-Ho,(2016). Evaluating Acupuncture Point and Nonacupuncture Point Stimulation with EEG: A High-Frequency Power Spectrum Analysis, Kwang-Ho Choi, 2016, oninelibrary.wiley.com
https://onlinelibrary.wiley.com/doi/10.1155/2016/2134364
Chen, F.-P.et al. (2015). clinical study of integrating acupuncture andWestern medicine in treating patients with Parkinson’s disease. Am. J. Chin. Med. 2015, 43, 407–423. https://www.worldscientific.com/doi/abs/10.1142/S0192415X15500263
Lei, H. et al. (2016). Clinical Trial to Objectively Assess the Efficacy of Electroacupuncture on Gait in Patients with Parkinson’s Disease Using Body Worn Sensors. PLoS ONE 2016, 11, e0155613.
https://pubmed.ncbi.nlm.nih.gov/27227460/
de Amorim Aroxa, F.H. et al. (2017) Acupuncture as Adjuvant Therapy for Sleep Disorders in Parkinson’s Disease. J. Acupunct. Meridian Stud. 2017, 10, 33–38. https://www.sciencedirect.com/science/article/pii/S2005290117300018?via%3Dihub
Aljalal, Majid, et al. (2022) Detection of Parkinson’s Disease from EEG Signals Using Discrete Wavelet Transform, Different Entropy Measures, and Machine Learning Techniques. ,scientific reports. Vol. 12, no. 1, 29 Dec. 2022. https://www.nature.com/articles/s41598-022-26644-7
Shoka, Athar A. Ein (2023), EEG seizure detection: concepts, techniques, challenges, and future trends, 2023 multimedia tools and applications, https://doi.org/10.1007/s11042-023-15052-2
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