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Application of functional magnetic resonance imaging in mild cognitive impairment
LI Yangtong  WANG Lanbo  SUN Hongzan 

Cite this article as: Li YT, Wang LB, Sun HZ. Application of functional magnetic resonance imaging in mild cognitive impairment. Chin J Magn Reson Imaging, 2019, 10(12): 933-936. DOI:10.12015/issn.1674-8034.2019.12.013.


[Abstract] Mild cognitive impairment, an intermediate state between normal aging and dementia, is a risk factor for developing Alzheimer's disease and is characterized by memory loss faster than normal aging. In recent years, along with the rapid development of neuroimaging, resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) are gradually applied to the early diagnosis of mild cognitive impairment, showing their respective strengths and weaknesses. Therefore, people try to combine them for analysis, which can be basically divided into three methods: rs-fMRI-assisted DTI, DTI-assisted rs-fMRI and rs-fMRI and DTI allelic combination, thus obtaining higher diagnostic efficiency. The author will expound the combined application of the above three methods in mild cognitive impairment.
[Keywords] cognition disorders；functional magnetic resonance imaging；diffusion tensor imaging；magnetic resonance imaging

LI Yangtong Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

WANG Lanbo Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

SUN Hongzan * Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

*Corresponding to: Sun HZ, E-mail: sunhongzan@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of Provincial Key Research and Development Program and Guidance Program of Liaoning No. 2017225012
Received  2019-02-26
DOI: 10.12015/issn.1674-8034.2019.12.013
Cite this article as: Li YT, Wang LB, Sun HZ. Application of functional magnetic resonance imaging in mild cognitive impairment. Chin J Magn Reson Imaging, 2019, 10(12): 933-936. DOI:10.12015/issn.1674-8034.2019.12.013.

[1]
Chandra A, Dervenoulas G, Politis M, et al. Magnetic resonance imaging in Alzheimer's disease and mild cognitive impairment. J Neurol, 2018, 266: 1-10.
[2]
Petersen RC. Mild cognitive impairment. Continuum (Minneap Minn), 2016, 22(2): 404-418 .
[3]
Xue J, Li J, Liang J, et al. The prevalence of mild cognitive impairment in China: A systematic review. Aging Dis, 2018, 9(4): 706-715.
[4]
Cheng Y, Xiao S. Recent research about mild cognitive impairment in China. Shanghai Arch Psychiatry, 2014, 26(1): 4-14.
[5]
周波，王炜，王鲁宁．老年人认知功能与年龄及受教育程度的关系．实用医学杂志, 2007, 23(1): 117-118.
[6]
Raichle ME, Macleod AM, Snyder AZ, et al. A default mode of brain function. Proc Natl Acad Sci U S A, 2001, 98(2): 676-682.
[7]
Mangano FT, Altaye M, Mckinstry RC, et al. Diffusion tensor imaging study of pediatric patients with congenital hydrocephalus: 1-year postsurgical outcomes. J Neurosurg Pediatr, 2016, 18(3): 306-319.
[8]
Zhu D, Zhang T, Jiang X, et al. Fusing DTI and fMRI data: a survey of methods and applications. Neuroimage, 2014, 102(Pt 1): 184-191.
[9]
Wee CY, Yap PT, Zhang D, et al. Identification of MCI individuals using structural and functional connectivity networks. Neuroimage, 2012, 59(3): 2045-2056.
[10]
Soldner J, Meindl T, Koch W, et al. Structural and functional neuronal connectivity in Alzheimer's disease: a combined DTI and fMRI study. Nervenarzt, 2012, 83(7): 878-887.
[11]
Balachandar R, John JP, Saini J, et al. A study of structural and functional connectivity in early Alzheimer's disease using rest fMRI and diffusion tensor imaging. Int J Geriatr Psychiatry, 2015, 30(5): 497-504.
[12]
Jiang X, Zhu D, Li K, et al. Predictive models of resting state networks for assessment of altered functional connectivity in mild cognitive impairment. Brain Imaging Behav, 2014, 8(4): 542-557.
[13]
Zhang L, Zhang H, Chen X, et al. Learning-based structurally-guided construction of resting-state functional correlation tensors. Magn Reson Imaging, 2017, 43: 110-121.
[14]
Chen X, Zhang H, Zhang L, et al. Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification. Hum Brain Mapp, 2017, 38(10): 5019-5034.
[15]
Li Y, Liu J, Luo M, et al. Structural connectivity guided sparse effective connectivity for MCI identification. Mach Learn Med Imaging, 2017, 10541: 299-306.
[16]
Wang Z, Wang J, Zhang H, et al. Interhemispheric functional and structural disconnection in Alzheimer's disease: A combined restingstate fMRI and DTI study. PLoS One, 2015, 10(5): e0126310.
[17]
Ren P, Chapman B, Zhang Z, et al. Functional and structural connectivity of the amygdala underpins locus of control in mild cognitive impairment. Neuroimage Clin, 2018, 20: 297-304.
[18]
李亚迪，董海波，谢国民．基于自动分割技术的轻度阿尔茨海默病皮层下灰质结构MRI成像分析．中国临床医学影像杂志, 2012, 23(10): 688-691.
[19]
Hsu JL, Lee WJ, Liao YC, et al. Posterior atrophy and medial temporal atrophy scores are associated with different symptoms in patients with Alzheimer's disease and mild cognitive impairment. PLoS One, 2015, 10(9): e0137121.
[20]
Ding B, Ling HW, Zhang Y, et al. Pattern of cerebral hyperperfusion in Alzheimer's disease and amnestic mild cognitive impairment using voxel-based analysis of 3D arterial spin-labeling imaging: initial experience. Clin Interv Aging, 2014, 9: 493-500.
[21]
Waragai M, Moriya M, Nojo T. Decreased N-Acetyl aspartate/myoinositol ratio in the posterior cingulate cortex shown by magnetic resonance spectroscopy may be one of the risk markers of preclinical Alzheimer's disease: A 7-year follow-up study. J Alzheimers Dis, 2017, 60(4): 1411-1427.
[22]
Alsop DC, Dai W, Grossman M, et al. Arterial spin labeling blood flow MRI: its role in the early characterization of Alzheimer's disease. J Alzheimers Dis, 2010, 20(3): 871-880.
[23]
Gao F, Barker PB. Various MRS application tools for Alzheimer disease and mild cognitive impairment. AJNR Am J Neuroradiol, 2014, 35(6Suppl): S4-11.

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