Allen, E., Damaraju, E., Eichele, T., Wu, L., & Calhoun, V. D. (2018). EEG signatures of dynamic functional network connectivity states. Brain Topography, 31, 101–116.
Article CAS PubMed Google Scholar
Apkarian, A. V., Hashmi, J. A., & Baliki, M. N. (2011). Pain and the brain: Specificity and plasticity of the brain in clinical chronic pain. Pain, 152(3-supp-S), S49–S64.
Arnold, M. (2018). Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition. Cephalalgia, 38.
Ashburner, J., & Friston, K. J. (2005). Unified segmentation. Neuroimage.
Atlas, L. Y., & Wager, T. D. (2012). How expectations shape pain. Neuroscience Letters, 520(2), 140–148.
Article CAS PubMed Google Scholar
Bosma, R. L., Kim, J. A., Cheng, J. C., Rogachov, A., Hemington, K. S., Osborne, N. R., Oh, J., & Davis, K. D. (2018). Dynamic pain connectome functional connectivity and oscillations reflect multiple sclerosis pain. Pain, 159(11), 1.
Chang, C., Liu, Z., Chen, M. C., Liu, X., & Duyn, J. H. (2013). EEG correlates of time-varying BOLD functional connectivity. Neuroimage, 72, 227–236.
Chu, W. C., Wu, J. C., Yew, D. T., Zhang, L., Shi, L., Yeung, D. K., Wang, D., Tong, R. K., Chan, Y., & Lao, L. (2012). Does acupuncture therapy alter activation of neural pathway for Pain Perception in Irritable Bowel Syndrome? A comparative study of true and Sham acupuncture using functional magnetic resonance imaging. Journal of Neurogastroenterology & Motility, 18(3), 305–316.
Cottam, W. J., Iwabuchi, S. J., Drabek, M. M., Reckziegel, D., & Auer, D. P. (2018). Altered connectivity of the right anterior insula drives the pain connectome changes in chronic knee osteoarthritis. Pain, 159(5), 929.
Article PubMed PubMed Central Google Scholar
Damaraju, E., Allen, E. A., Belger, A., Ford, J. M., Mcewen, S., Mathalon, D. H., Mueller, B. A., Pearlson, G. D., Potkin, S. G., & Preda, A. (2014). Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. Neuroimage Clin, 5, 298–308.
Article CAS PubMed PubMed Central Google Scholar
Dugan, W., Mcdonald, M. V., Passik, S. D., Rosenfeld, B. D., Theobald, D., & Edgerton, S. (1998). Use of the Zung Self-Rating Depression Scale in cancer patients: Feasibility as a screening tool. Psychooncology, 7(6), 483–493.
Article CAS PubMed Google Scholar
Erhardt, E. B., Rachakonda, S., Bedrick, E. J., Allen, E. A., Adali, T., & Calhoun, V. D. (2011). Comparison of multi-subject ICA methods for analysis of fMRI data. Human Brain Mapping, 32(12), 2075–2095.
Filippi, M., & Messina, R. (2020). The chronic migraine brain: What have we learned from neuroimaging? Frontiers in Neurology, 10, 500543.
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., & Gonzalez-Castillo, J. (2013). Dynamic functional connectivity: Promise, issues, and interpretations. Neuroimage, 80, 360–378.
Iraji, A., Faghiri, A., Lewis, N., Fu, Z., Rachakonda, S., & Calhoun, V. D. (2021). Tools of the trade: Estimating time-varying connectivity patterns from fMRI data. Social Cognitive and Affective Neuroscience, 16(8), 849–874.
Jones, E. G. (2010). Thalamocortical dysrhythmia and chronic pain. Pain, 150(1), 4–5.
Khanna, A., Pascual-Leone, A., Michel, C. M., & Farzan, F. (2014). Microstates in resting-state EEG: Current status and future directions. Neuroscience & Biobehavioral Reviews, 49.
Kim, J., Criaud, M., Cho, S. S., Díez-Cirarda, M., Mihaescu, A., Coakeley, S., Ghadery, C., Valli, M., Jacobs, M. F., & Houle, S. (2017). Abnormal intrinsic brain functional network dynamics in Parkinson’s disease. Brain140(11), 2955-2967.
Kucyi, A., Salomons, T. V., & Davis, K. D. (2013). Mind wandering away from pain dynamically engages antinociceptive and default mode brain networks. Proceedings of the National Academy of ences, 110(46), 18692–18697.
Lee, I. S., Cheon, S., & Park, J. Y. (2019). Central and Peripheral mechanism of acupuncture Analgesia on Visceral Pain: A systematic review. Evidence-based Complementary and Alternative Medicine, 2019(1), 1–22.
Lee, M. J., Park, B. Y., Cho, S., Choi, Y. J., Park, H., Kim, S. T., & Chung, C. S. (2019b). Dynamic functional connectivity of migraine brain: A resting-state fMRI study. Cephalalgia, 39, 161–162.
Lim, M., Jassar, H., Kim, D. J., Nascimento, T. D., & DaSilva, A. F. (2021). Differential alteration of fMRI signal variability in the ascending trigeminal somatosensory and pain modulatory pathways in migraine. The Journal of Headache and Pain, 22(1), 1–15.
Linde, K., Allais, G., Brinkhaus, B., Manheimer, E., Vickers, A., & White, A. R. (2009). Acupuncture for migraine prophylaxis. Cochrane Database of Systematic Reviews(1).
Lindsay, W., & Michie, A. (1988). Adaptation of the Zung self-rating anxiety scale for people with a mental handicap. Journal of Intellectual Disability Research, 32(6), 485–490.
Liu, J., Zhao, L., Lei, F., Zhang, Y., Yuan, K., Gong, Q., Liang, F., & Tian, J. (2015). Disrupted resting-state functional connectivity and its changing trend in migraine suffers. Human Brain Mapping, 36(5), 1892–1907.
Article PubMed PubMed Central Google Scholar
Liu, J., Quan, S., Zhao, L., Yuan, K., Wang, Y., Zhang, Y., Wang, Z., Sun, M., & Hu, L. (2023). Evaluation of a clustering approach to define distinct subgroups of patients with migraine to select electroacupuncture treatments. Neurology, 101(7), e699–e709.
Article PubMed PubMed Central Google Scholar
Llinas, R. R., Ribary, U., Jeanmonod, D., & Mitra, K. (1999). Thalamocortical dysrhythmia: A neurological and neuropsychiatric syndrome characterized by magnetoencephalography. Proceedings of the National Academy of Sciences, 96(26), 15222–15227.
Matsui, T., Murakami, T., & Ohki, K. (2019). Neuronal origin of the temporal dynamics of spontaneous BOLD activity correlation. Cerebral Cortex, 29(4), 1496–1508.
Menon, V. (2011). Large-scale brain networks and psychopathology: A unifying triple network model. Trends in Cognitive Sciences, 15(10), 483–506.
Naguit, N., Laeeq, S., Jakkoju, R., Reghefaoui, T., Zahoor, H., Yook, J. H., Rizwan, M., Shahid, N., & Mohammed, L. (2022). Is acupuncture safe and effective treatment for migraine? A systematic review of randomized controlled trials. Cureus, 14(1).
Napadow, V., Makris, N., Liu, J., Kettner, N. W., Kwong, K. K., & Hui, K. K. (2005). Effects of electroacupuncture versus manual acupuncture on the human brain as measured by fMRI. Human Brain Mapping, 24(3), 193–205.
Necka, E. A., Lee, I. S., Kucyi, A., Cheng, J. C., Yu, Q., & Atlas, L. Y. (2019). Applications of dynamic functional connectivity to pain and its modulation. PAIN Reports, 4(4), e752.
Article PubMed PubMed Central Google Scholar
Park, J. Y., Cho, S. J., Lee, S. H., Ryu, Y., Jang, J. H., Kim, S. N., & Park, H. J. (2021). Peripheral ERK modulates acupuncture-induced brain neural activity and its functional connectivity. Scientific Reports, 11(1), 5128.
Article CAS PubMed PubMed Central Google Scholar
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014). Methods to detect, characterize, and remove motion artifact in resting state fMRI. Neuroimage, 84, 320–341.
Price, J. L., & Drevets, W. C. (2012). Neural circuits underlying the pathophysiology of mood disorders. Trends in Cognitive Sciences, 16(1), 61–71.
Rendas-Baum, R., Bloudek, L. M., & Maglinte, G. A. (2013). The psychometric properties of the migraine-specific quality of Life Questionnaire version 2.1 (MSQ) in chronic migraine patients. Quality of Life Research, 22(5), 1123–1133.
Rogachov, A., Cheng, J. C., Erpelding, N., Hemington, K. S., Crawley, A. P., & Davis, K. D. (2016). Regional brain signal variability: A novel indicator of pain sensitivity and coping. Pain, 157(11), 2483–2492.
Rousseeuw, P. J. (1984). Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis.
Shine, J. M., Koyejo, O., & Poldrack, R. A. (2016). Temporal metastates are associated with differential patterns of time-resolved connectivity, network topology, and attention. Proceedings of the National Academy of Sciences, 113(35), 9888–9891.
Sun, M., Li, Y., Zhang, J., & Bian, J. (1991). Effects of noxious stimuli on the discharges of pain-excitation neurons and pain-inhibition neurons in the nucleus ventralis posterolalis of thalamus in the rat and a modulating action of electroacupuncture on its electric activities. Zhen Ci Yan jiu = Acupuncture Research, 16(1), 19–22.
Tao, G., Lei, L., Yun, J., Juan, C., Ryan, D. A., Min, C., & Xiaowei, S. (2018). Acupuncture therapy in treating migraine: Results of a magnetic resonance spectroscopy imaging study. Journal of Pain Research, 11, 889–900.
Tu, Y., Fu, Z., Zeng, F., Maleki, N., & Kong, J. (2019). Abnormal thalamo-cortical network dynamics in migraine. Neurology, 92(23). https://doi.org/10.1212/WNL.0000000000007607
Tu, Y., Fu, Z., Mao, C., Falahpour, M., & Kong, J. (2020). Distinct thalamocortical network dynamics are associated with the pathophysiology of chronic low back pain. Nature Communications, 11(1).
Wilson, H. D., Uhelski, M. L., & Fuchs, P. N. (2008). Examining the role of the medial thalamus in modulating the affective dimension of pain. Brain Research, 1229(none), 90–99.
Comments (0)