Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005). Investigations into resting-state connectivity using independent component analysis. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 360(1457), 1001–1013. https://doi.org/10.1098/rstb.2005.1634.

Article  PubMed  PubMed Central  Google Scholar 

Borsook, D., Maleki, N., Becerra, L., & McEwen, B. (2012). Understanding migraine through the lens of maladaptive stress responses: A model disease of allostatic load. Neuron, 73(2), 219–234. https://doi.org/10.1016/j.neuron.2012.01.001.

Article  CAS  PubMed  Google Scholar 

Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain’s default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124, 1–38. https://doi.org/10.1196/annals.1440.011.

Article  ADS  PubMed  Google Scholar 

Chen, X., Lu, B., & Yan, C. G. (2018). Reproducibility of R-fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes. Human Brain Mapping, 39(1), 300–318. https://doi.org/10.1002/hbm.23843.

Article  PubMed  Google Scholar 

Cui, W., Zhang, J., Xu, F., Zhi, H., Li, H., Li, B., & Wu, H. (2021). MRI evaluation of the relationship between abnormalities in Vision-related brain networks and quality of life in patients with migraine without aura. Neuropsychiatric Disease and Treatment, 17, 3569–3579. https://doi.org/10.2147/ndt.S341667.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Dahlem, M. A., & Hadjikhani, N. (2009). Migraine aura: Retracting particle-like waves in weakly susceptible cortex. PLoS One, 4(4), e5007. https://doi.org/10.1371/journal.pone.0005007.

Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

Del Sette, M., Angeli, S., Leandri, M., Ferriero, G., Bruzzone, G. L., Finocchi, C., & Gandolfo, C. (1998). Migraine with aura and right-to-left shunt on transcranial doppler: A case-control study. Cerebrovascular Diseases (Basel, Switzerland), 8(6), 327–330. https://doi.org/10.1159/000015875.

Article  PubMed  Google Scholar 

Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., & Killiany, R. J. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage, 31(3), 968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021.

Article  PubMed  Google Scholar 

Dong, B., Ji, S., Li, Y., Li, H., Yang, R., Yang, N., & Chen, L. (2023). Connection between right-to-left shunt and photosensitivity: A community-based cross-sectional study. Frontiers in Neurology, 14, 1177879. https://doi.org/10.3389/fneur.2023.1177879.

Article  PubMed  PubMed Central  Google Scholar 

Fleming, J. O., & Carlsson, C. M. (2014). Biomarkers for neurology: Guides and lines. Neurology, 83(13), 1130–1131. https://doi.org/10.1212/wnl.0000000000000825.

Article  PubMed  Google Scholar 

Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., & Jenkinson, M. (2013). The minimal preprocessing pipelines for the human Connectome Project. Neuroimage, 80, 105–124. https://doi.org/10.1016/j.neuroimage.2013.04.127.

Article  PubMed  Google Scholar 

Griffanti, L., Salimi-Khorshidi, G., Beckmann, C. F., Auerbach, E. J., Douaud, G., Sexton, C. E., & Smith, S. M. (2014). ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging. Neuroimage, 95, 232–247. https://doi.org/10.1016/j.neuroimage.2014.03.034.

Article  PubMed  Google Scholar 

He, Q., Zhang, Y., Wang, F., Li, C., Guo, R., Li, X., & Meng, L. (2020). Impact of right-to-left shunt and transcatheter closure on the clinical features of migraine. International Journal of Neuroscience, 130(3), 270–275. https://doi.org/10.1080/00207454.2019.1672681.

Article  PubMed  Google Scholar 

Höffken, O., Stude, P., Lenz, M., Bach, M., Dinse, H. R., & Tegenthoff, M. (2009). Visual paired-pulse stimulation reveals enhanced visual cortex excitability in migraineurs. European Journal of Neuroscience, 30(4), 714–720. https://doi.org/10.1111/j.1460-9568.2009.06859.x.

Article  PubMed  Google Scholar 

Holland, P. R., & Goadsby, P. J. (2018). Targeted CGRP small molecule antagonists for Acute Migraine Therapy. Neurotherapeutics, 15(2), 304–312. https://doi.org/10.1007/s13311-018-0617-4.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Homma, S., Messé, S. R., Rundek, T., Sun, Y. P., Franke, J., Davidson, K., & Di Tullio, M. R. (2016). Patent foramen ovale. Nat Rev Dis Primers, 2, 15086. https://doi.org/10.1038/nrdp.2015.86.

Article  PubMed  Google Scholar 

Houts, C. R., Wirth, R. J., McGinley, J. S., Gwaltney, C., Kassel, E., Snapinn, S., & Cady, R. (2020). Content validity of HIT-6 as a measure of Headache Impact in people with migraine: A narrative review. Headache, 60(1), 28–39. https://doi.org/10.1111/head.13701.

Article  PubMed  Google Scholar 

Jia, Z. Y. (2021). Recognition and cognitive risk assessment of brain dysfunction in patients with migraine by resting-state functional magnetic resonance imaging (Master’s Thesis). Jilin University.

Kahya Eren, N., Bülbül, N. G., Yakar Tülüce, S., Nazlı, C., & Beckmann, Y. (2015). To be or not to be patent: The relationship between migraine and patent foramen ovale. Headache, 55(7), 934–942. https://doi.org/10.1111/head.12618.

Article  PubMed  Google Scholar 

Lee, M. J., Park, B. Y., Cho, S., Kim, S. T., Park, H., & Chung, C. S. (2019). Increased connectivity of pain matrix in chronic migraine: A resting-state functional MRI study. The Journal of Headache and Pain, 20(1), 29. https://doi.org/10.1186/s10194-019-0986-z.

Article  PubMed  PubMed Central  Google Scholar 

Liboni, W., Molinari, F., Allais, G. B., Mana, O., Negri, E., D’Andrea, G., & Benedetto, C. (2008). Patent foramen ovale detected by near-infrared spectroscopy in patients suffering from migraine with aura. Neurological Sciences: Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 29(Suppl 1), S182–185. https://doi.org/10.1007/s10072-008-0920-7.

Article  PubMed  Google Scholar 

Lopez, M. F., Sarracino, D. A., Vogelsang, M., Sutton, J. N., Athanas, M., Krastins, B., & Ning, M. (2012). Heart-brain signaling in patent foramen ovale-related stroke: Differential plasma proteomic expression patterns revealed with a 2-pass liquid chromatography-tandem mass spectrometry discovery workflow. Journal of Investigative Medicine, 60(8), 1122–1130. https://doi.org/10.2310/JIM.0b013e318276de0e.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007). Wandering minds: The default network and stimulus-independent thought. Science, 315(5810), 393–395. https://doi.org/10.1126/science.1131295.

Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

Mojadidi, M. K., Kumar, P., Mahmoud, A. N., Elgendy, I. Y., Shapiro, H., West, B., & Tobis, J. M. (2021). Pooled analysis of PFO occluder device trials in patients with PFO and migraine. Journal of the American College of Cardiology, 77(6), 667–676. https://doi.org/10.1016/j.jacc.2020.11.068.

Article  PubMed  Google Scholar 

Nickerson, L. D., Smith, S. M., Öngür, D., & Beckmann, C. F. (2017). Using dual regression to Investigate Network shape and amplitude in functional connectivity analyses. Front Neurosci, 11, 115. https://doi.org/10.3389/fnins.2017.00115.

Article  PubMed  PubMed Central  Google Scholar 

Ning, M., Lo, E. H., Ning, P. C., Xu, S. Y., McMullin, D., Demirjian, Z., & Buonanno, F. S. (2013). The brain’s heart - therapeutic opportunities for patent foramen ovale (PFO) and neurovascular disease. Pharmacology & Therapeutics, 139(2), 111–123. https://doi.org/10.1016/j.pharmthera.2013.03.007.

Article  CAS  Google Scholar 

Olesen, J. (2018). Headache Classification Committee of the International Headache Society (IHS) the International classification of Headache disorders, 3rd edition. Cephalalgia, 38(1), 1–211. https://doi.org/10.1177/0333102417738202.

Article  Google Scholar 

Pietrobon, D., & Moskowitz, M. A. (2013). Pathophysiology of migraine. Annual Review of Physiology, 75, 365–391. https://doi.org/10.1146/annurev-physiol-030212-183717.

Article  CAS  PubMed  Google Scholar 

Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage, 59(3), 2142–2154. https://doi.org/10.1016/j.neuroimage.2011.10.018.

Article  PubMed  Google Scholar 

Ren, P., Li, K., Lu, X., & Xie, M. (2013). Diagnostic value of transthoracic echocardiography for patent foramen ovale: A meta-analysis. Ultrasound in Medicine and Biology, 39(10), 1743–1750. https://doi.org/10.1016/j.ultrasmedbio.2013.03.016.

Article  PubMed  Google Scholar 

Russo, A., Tessitore, A., Giordano, A., Corbo, D., Marcuccio, L., De Stefano, M., & Tedeschi, G. (2012). Executive resting-state network connectivity in migraine without aura. Cephalalgia, 32(14), 1041–1048. https://doi.org/10.1177/0333102412457089.

Article  PubMed  Google Scholar 

Safiri, S., Pourfathi, H., Eagan, A., Mansournia, M. A., Khodayari, M. T., Sullman, M. J. M., & Kolahi, A. A. (2022). Global, regional, and national burden of migraine in 204 countries and territories, 1990 to 2019. Pain, 163(2), e293–e309. https://doi.org/10.1097/j.pain.0000000000002275.

Article  CAS  PubMed  Google Scholar 

Salimi-Khorshidi, G., Douaud, G., Beckmann, C. F., Glasser, M. F., Griffanti, L., & Smith, S. M. (2014). Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers. Neuroimage, 90, 449–468. https://doi.org/10.1016/j.neuroimage.2013.11.046.

Article  PubMed  Google Scholar 

Schumacher, J., Peraza, L. R., Firbank, M., Thomas, A. J., Kaiser, M., Gallagher, P., & Taylor, J. P. (2018). Functional connectivity in dementia with Lewy bodies: A within- and between-network analysis. Human Brain Mapping, 39(3), 1118–1129.