Amplitude of Low-Frequency Fluctuation to Determine Disturbed Spontaneous Brain-Activity Pattern in Patients with Diabetic Optic Neuropathy

References

• Hosseini Z, Whiting SJ, Vatanparast H. Type 2 diabetes prevalence among Canadian adults - dietary habits and sociodemographic risk factors. Appl Physiol Nutr Metab. 2019;44(10):1099–1104. doi:10.1139/apnm-2018-0567
   PubMed Web of Science ®Google Scholar
• Shin JY. Trends in the prevalence and management of diabetes in Korea: 2007–2017. Epidemiol Health. 2019;41:e2019029. doi:10.4178/epih.e2019029
   PubMed Web of Science ®Google Scholar
• Pradeepa R, Mohan V. Prevalence of type 2 diabetes and its complications in India and economic costs to the nation. Eur J Clin Nutr. 2017;71(7):816–824. doi:10.1038/ejcn.2017.40
   PubMed Web of Science ®Google Scholar
• Giuliari GP, Sadaka A, Y. Chang P, et al. Diabetic papillopathy: current and new treatment options. Curr Diabetes Rev. 2011;7(3):171–175. doi:10.2174/157339911795843122
   PubMedGoogle Scholar
• Hua R, Qu L, Ma B, et al. Diabetic optic neuropathy and its risk factors in Chinese patients with diabetic retinopathy. Invest Ophthalmol Vis Sci. 2019;60(10):3514–3519. doi:10.1167/iovs.19-26825
   PubMed Web of Science ®Google Scholar
• BELL LG. Diabetic optic neuropathy. Trans Ophthalmol Soc N Z. 1956–1957;9:25–30. PMID: 13496160.
   PubMedGoogle Scholar
• Moro F, Doro D. Diabetic optic neuropathies: clinical features. Metab Pediatr Syst Ophthalmol. 1986;9(2–4):65–70.
   Google Scholar
• Biswal BB. Resting state fMRI: a personal history. Neuroimage. 2012;62(2):938–944. doi:10.1016/j.neuroimage.2012.01.090
   PubMed Web of Science ®Google Scholar
• Lv H, Wang Z, Tong E, et al. Resting-state functional MRI: everything that nonexperts have always wanted to know. AJNR Am J Neuroradiol. 2018;39(8):1390–1399. PMID: 29348136; PMCID: PMC6051935. doi:10.3174/ajnr.A5527
   PubMed Web of Science ®Google Scholar
• Li T, Liu Z, Li J, et al. Altered amplitude of low-frequency fluctuation in primary open-angle glaucoma: a resting-state FMRI study. Invest Ophthalmol Vis Sci. 2014;56(1):322–329. doi:10.1167/iovs.14-14974
   PubMed Web of Science ®Google Scholar
• Huang X, Zhong Y-L, Zeng X-J, et al. Disturbed spontaneous brain activity pattern in patients with primary angle-closure glaucoma using amplitude of low-frequency fluctuation: a fMRI study. Neuropsychiatr Dis Treat. 2015;11:1877–1883. doi:10.2147/NDT.S87596
   PubMed Web of Science ®Google Scholar
• Peng ZY, Liu Y-X, Li B, et al. Altered spontaneous brain activity patterns in patients with neovascular glaucoma using amplitude of low-frequency fluctuations: a functional magnetic resonance imaging study. Brain Behav. 2021;11(3):e02018. doi:10.1002/brb3.2018
   PubMed Web of Science ®Google Scholar
• Huang X, Zhou F-Q, Hu Y-X, et al. Altered spontaneous brain activity pattern in patients with high myopia using amplitude of low-frequency fluctuation: a resting-state fMRI study. Neuropsychiatr Dis Treat. 2016;12:2949–2956. doi:10.2147/NDT.S118326
   PubMed Web of Science ®Google Scholar
• Min YL, Su T, Shu Y-Q, et al. Altered spontaneous brain activity patterns in strabismus with amblyopia patients using amplitude of low-frequency fluctuation: a resting-state fMRI study. Neuropsychiatr Dis Treat. 2018;14:2351–2359. doi:10.2147/NDT.S171462
   PubMed Web of Science ®Google Scholar
• Tan G, Huang X, Zhang Y, et al. A functional MRI study of altered spontaneous brain activity pattern in patients with congenital comitant strabismus using amplitude of low-frequency fluctuation. Neuropsychiatr Dis Treat. 2016;12:1243–1250. doi:10.2147/NDT.S104756
   PubMed Web of Science ®Google Scholar
• Huang X, Cai F-Q, Hu P-H, et al. Disturbed spontaneous brain-activity pattern in patients with optic neuritis using amplitude of low-frequency fluctuation: a functional magnetic resonance imaging study. Neuropsychiatr Dis Treat. 2015;11:3075–3083. doi:10.2147/NDT.S92497
   PubMed Web of Science ®Google Scholar
• Tan G, Tan G, Huang X, et al. Altered spontaneous brain activity patterns in patients with unilateral acute open globe injury using amplitude of low-frequency fluctuation: a functional magnetic resonance imaging study. Neuropsychiatr Dis Treat. 2016;12:2015–2020. doi:10.2147/NDT.S110539
   PubMed Web of Science ®Google Scholar
• Li Q, Huang X, Ye L, et al. Altered spontaneous brain activity pattern in patients with late monocular blindness in middle-age using amplitude of low-frequency fluctuation: a resting-state functional MRI study. Clin Interv Aging. 2016;11:1773–1780. doi:10.2147/CIA.S117292
   PubMed Web of Science ®Google Scholar
• Pan ZM, Li H-J, Bao J, et al. Altered intrinsic brain activities in patients with acute eye pain using amplitude of low-frequency fluctuation: a resting-state fMRI study. Neuropsychiatr Dis Treat. 2018;14:251–257. doi:10.2147/NDT.S150051
   PubMed Web of Science ®Google Scholar
• Kang HH, Shu Y-Q, Yang L, et al. Measuring abnormal intrinsic brain activities in patients with retinal detachment using amplitude of low-frequency fluctuation: a resting-state fMRI study. Int J Neurosci. 2019;129(7):681–686. doi:10.1080/00207454.2018.1554657
   PubMed Web of Science ®Google Scholar
• Qi CX, Huang X, Shen Y. Altered intrinsic brain activities in patients with diabetic retinopathy using amplitude of low-frequency fluctuation: a resting-state fMRI study. Diabetes Metab Syndr Obes. 2020;13:2833–2842. doi:10.2147/DMSO.S259476
   PubMed Web of Science ®Google Scholar
• Shi WQ, Tang L, Lin Q, et al. Altered spontaneous brain activity patterns in diabetic patients with vitreous hemorrhage using amplitude of low‑frequency fluctuation: a resting‑state fMRI study. Mol Med Rep. 2020;22(3):2291–2299. doi:10.3892/mmr.2020.11294
   PubMed Web of Science ®Google Scholar
• Wu YY, Yuan Q, Li B, et al. Altered spontaneous brain activity patterns in patients with retinal vein occlusion indicated by the amplitude of low-frequency fluctuation: a functional magnetic resonance imaging study. Exp Ther Med. 2019;18(3):2063–2071. PMID: 31410162; PMCID: PMC6676080. doi:10.3892/etm.2019.7770
   PubMed Web of Science ®Google Scholar
• Jiang YP, Liu WF, Pan YC, et al. The abnormal fractional amplitude of low-frequency fluctuation changes in patients with diabetic optic neuropathy: a steady-state fMRI study. J Integr Neurosci. 2021;20(4):885–893. PMID: 34997712. doi:10.31083/j.jin2004090
   PubMed Web of Science ®Google Scholar
• Kuo HK, Kuo MT, Tiong IS, Wu PC, Chen YJ, Chen CH. Visual acuity as measured with Landolt C chart and Early Treatment of Diabetic Retinopathy Study (ETDRS) chart. Graefes Arch Clin Exp Ophthalmol. 2011;249(4):601–605. PMID: 20658145. doi:10.1007/s00417-010-1461-3
   PubMed Web of Science ®Google Scholar
• Firan AM, Istrate S, Iancu R, Tudosescu R, Ciuluvică R, Voinea L. Visual evoked potential in the early diagnosis of glaucoma. Literature review. Rom J Ophthalmol. 2020;64(1):15–20. PMID: 32292852; PMCID: PMC7141918. doi:10.22336/rjo.2020.4
   PubMedGoogle Scholar
• Park SH, Goo JM, Jo CH. Receiver operating characteristic (ROC) curve: practical review for radiologists. Korean J Radiol. 2004;5(1):11–18. PMID: 15064554; PMCID: PMC2698108. doi:10.3348/kjr.2004.5.1.11
   PubMed Web of Science ®Google Scholar
• Cole JB, Florez JC. Genetics of diabetes mellitus and diabetes complications. Nat Rev Nephrol. 2020;16(7):377–390. doi:10.1038/s41581-020-0278-5
   PubMed Web of Science ®Google Scholar
• van Duinkerken E, Schoonheim MM, Sanz-Arigita EJ, et al. Resting-state brain networks in type 1 diabetic patients with and without microangiopathy and their relation to cognitive functions and disease variables. Diabetes. 2012;61(7):1814–1821. doi:10.2337/db11-1358
   PubMed Web of Science ®Google Scholar
• Zhang C, Guo Y, Slater BJ, et al. Axonal degeneration, regeneration and ganglion cell death in a rodent model of anterior ischemic optic neuropathy (rAION). Exp Eye Res. 2010;91(2):286–292. doi:10.1016/j.exer.2010.05.021
   PubMed Web of Science ®Google Scholar
• Xu QH, Li Q-Y, Yu K, et al. Altered brain network centrality in patients with diabetic optic neuropathy: a resting-state fMRI study. Endocr Pract. 2020;26(12):1399–1405. doi:10.4158/EP-2020-0045
   PubMed Web of Science ®Google Scholar
• Sebastian R, Gomez Y, Leigh R, et al. The roles of occipitotemporal cortex in reading, spelling, and naming. Cogn Neuropsychol. 2014;31(5–6):511–528. doi:10.1080/02643294.2014.884060
   PubMed Web of Science ®Google Scholar
• Weiner KS, Zilles K. The anatomical and functional specialization of the fusiform gyrus. Neuropsychologia. 2016;83:48–62. doi:10.1016/j.neuropsychologia.2015.06.033
   PubMed Web of Science ®Google Scholar
• Gao Q, Peng B, Huang X, et al. Assessment of cerebral low-frequency oscillations in patients with retinal vein occlusion: a preliminary functional MRI study. Acta Radiol. 2020;61(6):813–820. doi:10.1177/0284185119879683
   PubMed Web of Science ®Google Scholar
• Shao Y, Cai F, Zhong Y, et al. Altered intrinsic regional spontaneous brain activity in patients with optic neuritis: a resting-state functional magnetic resonance imaging study. Neuropsychiatr Dis Treat. 2015;11:3065–3073. doi:10.2147/NDT.S92968
   PubMed Web of Science ®Google Scholar
• Li J, Zhang W, Wang X, et al. Functional magnetic resonance imaging reveals differences in brain activation in response to thermal stimuli in diabetic patients with and without diabetic peripheral neuropathy. PLoS One. 2018;13(1):e0190699. doi:10.1371/journal.pone.0190699
   PubMed Web of Science ®Google Scholar
• Wang ZL, Zou L, Lu Z-W, et al. Abnormal spontaneous brain activity in type 2 diabetic retinopathy revealed by amplitude of low-frequency fluctuations: a resting-state fMRI study. Clin Radiol. 2017;72(4):340.e1–340.e7. doi:10.1016/j.crad.2016.11.012
   Web of Science ®Google Scholar
• Friederici AD. The brain basis of language processing: from structure to function. Physiol Rev. 2011;91(4):1357–1392. doi:10.1152/physrev.00006.2011
   PubMed Web of Science ®Google Scholar
• Du J, Rolls ET, Cheng W, et al. Functional connectivity of the orbitofrontal cortex, anterior cingulate cortex, and inferior frontal gyrus in humans. Cortex. 2020;123:185–199. doi:10.1016/j.cortex.2019.10.012
   PubMed Web of Science ®Google Scholar
• Yu YJ, Liang R-B, Yang Q-C, et al. Altered spontaneous brain activity patterns in patients after lasik surgery using amplitude of low-frequency fluctuation: a resting-state functional MRI study. Neuropsychiatr Dis Treat. 2020;16:1907–1917. doi:10.2147/NDT.S252850
   PubMed Web of Science ®Google Scholar
• Wang F, Liu Y, Li J, et al. Abnormal brain function in neuromyelitis optica: a fMRI investigation of mPASAT. Eur J Radiol. 2017;95:197–201. doi:10.1016/j.ejrad.2017.08.012
   PubMed Web of Science ®Google Scholar
• Yang L, Xiao A, Li QY, et al. Hyperintensities of middle frontal gyrus in patients with diabetic optic neuropathy: a dynamic amplitude of low-frequency fluctuation study. Aging. 2022;14(3):1336–1350. doi:10.18632/aging.203877
   PubMedGoogle Scholar
• Teffer K, Semendeferi K. Human prefrontal cortex: evolution, development, and pathology. Prog Brain Res. 2012;195:191–218.
   PubMed Web of Science ®Google Scholar
• Dixon ML, Thiruchselvam R, Todd R, et al. Emotion and the prefrontal cortex: an integrative review. Psychol Bull. 2017;143(10):1033–1081. doi:10.1037/bul0000096
   PubMed Web of Science ®Google Scholar
• Ridderinkhof KR, Ullsperger M, Crone EA, et al. The role of the medial frontal cortex in cognitive control. Science. 2004;306(5695):443–447. doi:10.1126/science.1100301
   PubMed Web of Science ®Google Scholar
• Amodio DM, Frith CD. Meeting of minds: the medial frontal cortex and social cognition. Nat Rev Neurosci. 2006;7(4):268–277. doi:10.1038/nrn1884
   PubMed Web of Science ®Google Scholar
• Wang Y, Shao Y, Shi WQ, et al. The predictive potential of altered spontaneous brain activity patterns in diabetic retinopathy and nephropathy. EPMA J. 2019;10(3):249–259. doi:10.1007/s13167-019-00171-4
   PubMed Web of Science ®Google Scholar
• Wan KH, Chen LJ, Young AL. Depression and anxiety in dry eye disease: a systematic review and meta-analysis. Eye. 2016;30(12):1558–1567. PMID: 27518547; PMCID: PMC5177754. doi:10.1038/eye.2016.186
   PubMed Web of Science ®Google Scholar