Share:
Share this content in WeChat
X
Review
Application of amplitude of low-frequency fluctuation in ocular disease
YE Lei  KANG Honghua  SHAO Yi 

Cite this article as: Ye L, Kang HH, Shao Y. Application of amplitude of low-frequency fluctuation in ocular disease. Chin J Magn Reson Imaging, 2019, 10(5): 397-400. DOI:10.12015/issn.1674-8034.2019.05.017.


[Abstract] Abstract Amplitude of low-frequency fluctuation (ALFF) is a resting state functional magnetic resonance imaging (rs-fMRI) analysis technique, which is used to measure spontaneous fluctuations of blood oxygen level-dependent functional magnetic resonance imaging (BOLD- fMRI) signal intensity in neural activity, and the signal reflects the intensity of local spontaneous brain activity at rest. The rs-fMRI technique based on the ALFF has been used more and more widely in the study of many ocular diseases, it opens up a new understanding for the study of the relationship between the characteristics of ophthalmic diseases and the changes of local brain functional areas. Now, the application of the rs-fMRI technique based on ALFF in ophthalmic diseases is summarized as follows.
[Keywords] eye diseases;magnetic resonance imaging

YE Lei Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, China

KANG Honghua Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, China

SHAO Yi* Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, China

*Corresponding to: Shao Yi, E-mail: freebee99@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  National Natural Science Foundation of China No. 81660158, 81400372 Natural Science Key Project of Jiangxi Province No. 20161ACB21017 Health Development Planning Commission Science Foundation of Jiangxi Province No. 20175116
Received  2018-10-09
Accepted  2019-03-19
DOI: 10.12015/issn.1674-8034.2019.05.017
Cite this article as: Ye L, Kang HH, Shao Y. Application of amplitude of low-frequency fluctuation in ocular disease. Chin J Magn Reson Imaging, 2019, 10(5): 397-400. DOI:10.12015/issn.1674-8034.2019.05.017.

[1]
Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci, 2009, 10(3): 186-198.
[2]
Logothetis NK, Pauls J, Augath M, et al. Neurophysiological investigation of the basis of the fMRI signal. Nature, 2001, 412(6843): 150-157.
[3]
Brown HD, Woodall RL, Kitching RE, et al. Using magnetic resonance imaging to assess visual deficits: a review. Ophthalmic Physiol Opt,2016, 36(3): 240-265.
[4]
Dayan YB, Levin A, Morad YI, et al. The changing prevalence of myopia in young adults: a 13-year series of population-based prevalence surveys. Invest Ophthalmol Vis Sci, 2005, 46(8): 2760-2765.
[5]
Saw SM, Tong L, Chua WH, et al. Incidence and progression of myopia in Singaporean school children. Iovs, 2005, 46(1): 51-57.
[6]
Li Q, Guo M, Dong H, et al. Voxel-based analysis of regional gray and white matter concentration in high myopia. Vision Res, 2012, 58(4): 45-50.
[7]
Mirzajani A, Ghorbani M, Rasuli B, et al. Effect of induced high myopia on functional MRI signal changes. Physica Medica, 2017, 37: 32-36.
[8]
Guo MX, Dong HH, Zhang YT, et al. ALFF changes in brain areas of human with high myopia revealed by resting-state functional MRI. International Conference on Biomedical Engineering and Informatics. IEEE, 2010, 1(1): 91-94.
[9]
Huang X, Zhou FQ, Hu YX, 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.
[10]
Quigley HA, Broman AT. The number of people with glaucoma worldwide in 2010 and 2020. Br J Ophthalmol, 2006, 90(3): 262-267.
[11]
Chen WW, Wang N, Cai S, et al. Structural brain abnormalities in patients with primary open-angle glaucoma: a study with 3 T MR imaging. Invest Ophthalmol Vis Sci, 2013, 54(1): 545-554.
[12]
Qing G, Zhang S, Wang B, et al. Functional MRI signal changes in primary visual cortex corresponding to the central normal visual field of patients with primary open-angle glaucoma. Invest Ophthalmol Vis Sci, 2010, 51(9): 4627-4634.
[13]
Dai H, Morelli JN, Ai F, et al. Resting-state functional MRI: functional connectivity analysis of the visual cortex in primary open-angle glaucoma patients. Hum Brain Mapp, 2013, 34(10): 2455-2463.
[14]
Liu Z, Tian J. Amplitude of low frequency fluctuation in primary open angle glaucoma: a resting state fMRI study. Invest Ophthalmol Vis, 2015, 56(1): 322-329.
[15]
Huang X, Zhong YL, Zeng XJ, 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.
[16]
Yau JW, Rogers SL, Kawasaki R, et al. Global prevalence and major risk factors of diabetic retinopathy. Diabetes Care, 2012, 35(3): 556-564.
[17]
Tong J, Geng H, Zhang Z, et al. Brain metabolite alterations demonstrated by proton magnetic resonance spectroscopy in diabetic patients with retinopathy. Magn Reson Imaging, 2014, 32(8): 1037-1042.
[18]
Patton N, Aslam T, Macgillivray T, et al. Retinal vascular image analysis as a potential screening tool for cerebrovascular disease: a rationale based on homology between cerebral and retinal microvasculatures. J Anat, 2005, 206(4): 319-348.
[19]
Wang ZL, Zou L, Lu ZW, 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.
[20]
白伟,郭炜,陈自谦. 2型糖尿病视网膜病变患者脑自发神经活动的静息态功能磁共振研究. 医学影像学杂志, 2018, 28(2): 191-195.
[21]
朱佩文,李清海,邵毅. 功能磁共振技术在视神经炎中的应用. 磁共振成像, 2018, 9(8): 570-573.
[22]
Werring DJ, Bullmore ET, Toosy AT, et al. Recovery from optic neuritis is associated with a change in the distribution of cerebral response to visual stimulation: a functional magnetic resonance imaging study. J Neurol Neurosurg Psychiatry, 2000, 68(4): 441-449.
[23]
Toosy AT, Werring DJ, Bullmore ET, et al. Functional humans optic neuritis magnetic resonance imaging of the cortical response to photic stimulation in recovery following. Neurosci Lett, 2002, 330(3): 255-259.
[24]
Audoin B, Fernando KT, Swanton JK, et al. Selective magnetization transfer ratio decrease in the visual cortex following optic neuritis. Brain, 2006, 129(4): 1031-1039.
[25]
Huang X, Cai FQ, Hu PH, 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(21): 3075-3083.
[26]
姚新宇,段云云,刘亚欧, 等. 复发性视神经炎静息态低频振幅功能磁共振成像研究. 中国现代神经疾病杂志, 2016, 16(6): 344-348.
[27]
Vernet M, Quentin R, Chanes L, et al. Frontal eye field, where art thou? Anatomy, function, and non-invasive manipulation of frontal regions involved in eye movements and associated cognitive operations. Front Integr Neurosci, 2014, 8(8): 66.
[28]
Tehovnik EJ, Sommer MA, Chou IH, et al. Eye fields in the frontal lobes of primates. Brain Res Brain Res Rev, 2000, 32(2-3): 413-448.
[29]
Yang X, Zhang J, Lang L, et al. Assessment of cortical dysfunction in infantile esotropia using fMRI. Eur J Ophthalmol, 2014, 24(3): 409-416.
[30]
Yan X, Lin X, Wang Q, et al. Dorsal visual pathway changes in patients with comitant extropia. PLoS One, 2010, 5(6): e10931.
[31]
Joshi AC, Das VE. Muscimol inactivation of caudal fastigial nucleus and posterior interposed nucleus in monkeys with strabismus. J Neurophysiol, 2013, 110(8): 1882-1891.
[32]
Tan G, Hang 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(Issue 1): 1243-1250.
[33]
Tang A, Chen T, Zhang J, et al. Abnormal spontaneous brain activity in patients with anisometropic amblyopia using resting-state functional magnetic resonance imaging. J Pediatr Ophthalmol Strabismus, 2017, 54(5): 303-310.
[34]
殷小会,郭明霞,张云亭, 等. 低频振幅算法功能磁共振成像观察屈光参差性弱视患者脑活动. 中国医学影像技术, 2010, 26(11): 2052-2056.
[35]
Yan L, Zhuo Y, Wang B, et al. Loss of coherence of low frequency fluctuations of BOLD FMRI in visual cortex of healthy aged subjects. Open Neuroimag J, 2011, 5(5): 105-111.
[36]
Liang M, Xie B, Yang H, et al. Distinct patterns of spontaneous brain activity between children and adults with anisometropic amblyopia: a resting-state fMRI study. Graefes Arch Clin Exp Ophthalmol, 2016, 254(3): 569-576.
[37]
Thompson B, Villeneuve MY, Casanova C, et al. Abnormal cortical processing of pattern motion in amblyopia: evidence from fMRI. Neuroimage, 2012, 60(2): 1307-1315.
[38]
Wang X, Cui D, Zheng L, et al. Combination of blood oxygen level-dependent functional magnetic resonance imaging and visual evoked potential recordings for abnormal visual cortex in two types of amblyopia. Mol Vis, 2012, 18(94-95): 909-919.
[39]
Tan G, Huang X, Ye L, 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(1): 2015-2020.
[40]
Dormal G, Rezk M, Yakobov E, et al. Auditory motion in the sighted and blind: early visual deprivation triggers a large-scale imbalance between auditory and "visual" brain regions. Neuroimage, 2016, 134: 630-644.
[41]
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.

PREV The basic principle of ASL technology and its research progress in vascular cognitive impairment
NEXT The application of mono-exponential model, bi-exponential model and stretched-exponential model DWI for preoperative grading of gliomas
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn