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Research progress of diffusion magnetic resonance imaging in mild cognitive impairment
SUN Xiangru  WANG Xiaochun  ZHANG Hui  TAN Yan 

Cite this article as: Sun XR, Wang XC, Zhang H, et al. Research progress of diffusion magnetic resonance imaging in mild cognitive impairment[J]. Chin J Magn Reson Imaging, 2021, 12(1): 70-72, 84. DOI:10.12015/issn.1674-8034.2021.01.015.


[Abstract] Mild cognitive impairment (MCI) is considered to be an intermediate state of normal aging and Alzheimer's disease (AD) and other types of dementia. Active intervention during the MCI stage can help improve cognitive function and slow down the progression of AD. Therefore, it is very necessary to find sensitive imaging markers for MCI diagnosis and progress monitoring. Diffusion magnetic resonance imaging technology can noninvasively detect changes in the microstructure of brain tissue by describing the diffusion movement of water molecules in the brain tissue, providing important information for the study of the pathological mechanism of MCI and the evaluation of the severity of cognitive impairment. In recent years, the continuous development of new technologies has provided additional value for MCI research. This article reviews the research of diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), free water diffusion magnetic resonance imaging (FW diffusion MRI), neurite direction dispersion and density imaging technology (NODDI) in MCI.
[Keywords] magnetic resonance imaging；diffusion tensor imaging；diffusion kurtosis imaging；mild cognitive impairment；alzheimer disease

SUN Xiangru1   WANG Xiaochun2   ZHANG Hui2   TAN Yan2*  

1 College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, China

2 Department of Radiology, First Hospital of Shanxi Medical University, Taiyuan 030001, China

*Corresponding author: Tan Y, E-mail: tanyan123456@sina.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This article is supported by the National Natural Science Found No. 82071893 The National Natural Science Found No. 81701681 The National Natural Science Found No. 81771824 The National Natural Science Found No. 81971593
Received  2020-09-28
Accepted  2020-11-28
DOI: 10.12015/issn.1674-8034.2021.01.015
Cite this article as: Sun XR, Wang XC, Zhang H, et al. Research progress of diffusion magnetic resonance imaging in mild cognitive impairment[J]. Chin J Magn Reson Imaging, 2021, 12(1): 70-72, 84. DOI:10.12015/issn.1674-8034.2021.01.015.

1
Petersen RC. Clinical practice. Mild cognitive impairment. N Engl J Med, 2011, 364(23): 2227-2234. DOI: 10.1056/NEJMcp0910237
2
Ward A, Tardiff S, Dye C, et al. Rate of conversion from prodromal Alzheimer's disease to Alzheimer's dementia: a systematic review of the literature. Dement Geriatr Cogn Dis Extra, 2013, 3(1): 320-332. DOI: 10.1159/000354370
3
Song D, Yu D SF, Li PW, et al. The effectiveness of physical exercise on cognitive and psychological outcomes in individuals with mild cognitive impairment: a systematic review and meta-analysis. Int J Nurs Stud, 2018, 79: 155-164. DOI: 10.1016/j.ijnurstu.2018.01.002
4
2020 Alzheimer's disease facts and figures. Alzheimers Dement. 2020. [ DOI: ]. DOI: 10.1002/alz.12068
5
Hoy AR, Ly M, Carlsson CM, et al. Microstructural white matter alterations in preclinical Alzheimer's disease detected using free water elimination diffusion tensor imaging. PLoS One, 2017, 12(3): e0173982. DOI: 10.1371/journal.pone.0173982
6
Chen Y, Sha M, Zhao X, et al. Automated detection of pathologic white matter alterations in Alzheimer's disease using combined diffusivity and kurtosis method. Psychiatry Res Neuroimaging, 2017, 264: 35-45. DOI: 10.1016/j.pscychresns.2017.04.004
7
Raja R, Rosenberg G, Caprihan A. Review of diffusion MRI studies in chronic white matter diseases. Neurosci Lett, 2019, 694: 198-207. DOI: 10.1016/j.neulet.2018.12.007
8
Arab A, Wojna-Pelczar A, Khairnar A, et al. Principles of diffusion kurtosis imaging and its role in early diagnosis of neurodegenerative disorders. Brain Res Bull, 2018, 139: 91-98. DOI: 10.1016/j.brainresbull.2018.01.015
9
Jung WS, Um YH, Kang DW, et al. Diagnostic validity of an automated probabilistic tractography in amnestic mild cognitive impairment. Clin Psychopharmacol Neurosci, 2018, 16(2): 144-52. DOI: 10.9758/cpn.2018.16.2.144
10
Giulietti G, Torso M, Serra L, et al. Whole brain white matter histogram analysis of diffusion tensor imaging data detects microstructural damage in mild cognitive impairment and alzheimer's disease patients. J Magn Reson Imaging, 2018. [ DOI: ]. DOI: 10.1002/jmri.25947
11
Liu D, Wang Z, Shu H, et al. Disrupted white matter integrity is associated with cognitive deficits in patients with amnestic mild cognitive impairment: an atlas-based study. SAGE Open Med, 2016, 4: 2050312116648812. DOI: 10.1177/2050312116648812
12
Brueggen K, Dyrba M, Kilimann I, et al. Hippocampal mean diffusivity for the diagnosis of dementia and mild cognitive impairment in primary care. Curr Alzheimer Res, 2018, 15(11): 1005-1012. DOI: 10.2174/1567205015666180613114829
13
Yu J, Lam CL, Lee TM. White matter microstructural abnormalities in amnestic mild cognitive impairment: a meta-analysis of whole-brain and ROI-based studies. Neurosci Biobehav Rev, 2017, 83: 405-416. DOI: 10.1016/j.neubiorev.2017.10.026
14
Power MC, Su D, Wu A, et al. Association of white matter microstructural integrity with cognition and dementia. Neurobiol Aging, 2019, 83: 63-72. DOI: 10.1016/j.neurobiolaging.2019.08.021
15
Sheelakumari R, Sarma SP, Kesavadas C, et al. Multimodality Neuroimaging in Mild Cognitive Impairment: A Cross-sectional Comparison Study. Ann Indian Acad Neurol, 2018, 21(2): 133-139. DOI: 10.4103/aian.AIAN_379_17
16
Marzban E N, Eldeib A M, Yassine I A, et al. Alzheimer's disease diagnosis from diffusion tensor images using convolutional neural networks. PLoS One, 2020, 15(3): e0230409. DOI: 10.1371/journal.pone.0230409
17
Kumar A, Singh S, Singh A, et al. Diffusion tensor imaging based white matter changes and antioxidant enzymes status for early identification of mild cognitive impairment. Int J Neurosci, 2019, 129(3): 209-216. DOI: 10.1080/00207454.2018.1521401
18
Nowrangi MA, Lyketsos CG, Leoutsakos JM, et al. Longitudinal, region-specific course of diffusion tensor imaging measures in mild cognitive impairment and Alzheimer's disease. Alzheimers Dement, 2013, 9(5): 519-528. DOI: 10.1016/j.jalz.2012.05.2186
19
Fletcher E, Raman M, Huebner P, et al. Loss of fornix white matter volume as a predictor of cognitive impairment in cognitively normal elderly individuals. JAMA Neurol, 2013, 70(11): 1389-1395. DOI: 10.1001/jamaneurol.2013.3263
20
Jensen JH, Helpern JA, Ramani A, et al. Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med, 2005, 53(6): 1432-1440. DOI: 10.1002/mrm.20508
21
Kamagata K, Tomiyama H, Hatano T, et al. A preliminary diffusional kurtosis imaging study of Parkinson disease: comparison with conventional diffusion tensor imaging. Neuroradiology, 2014, 56(3): 251-258. DOI: 10.1007/s00234-014-1327-1
22
Liu D, Li K, Ma X, et al. Correlations between the microstructural changes of the medial temporal cortex and mild cognitive impairment in patients with cerebral small vascular disease (cSVD): a diffusion kurtosis imaging study. Front Neurol, 2019, 10: 1378. DOI: 10.3389/fneur.2019.01378
23
Song GP, Yao TT, Wang D, et al. Differentiating between Alzheimer's disease, amnestic mild cognitive impairment, and normal aging via diffusion kurtosis imaging. Neural Regen Res, 2019, 14(12): 2141-2146. DOI: 10.4103/1673-5374.262594
24
Gong NJ, Chan CC, Leung LM, et al. Differential microstructural and morphological abnormalities in mild cognitive impairment and Alzheimer's disease: Evidence from cortical and deep gray matter. Hum Brain Mapp, 2017, 38(5): 2495-2508. DOI: 10.1002/hbm.23535
25
Yuan L, Sun M, Chen Y, et al. Non-Gaussian diffusion alterations on diffusion kurtosis imaging in patients with early Alzheimer's disease. Neurosci Lett, 2016, 616: 11-18. DOI: 10.1016/j.neulet.2016.01.021
26
Falangola MF, Jensen JH, Tabesh A, et al. Non-Gaussian diffusion MRI assessment of brain microstructure in mild cognitive impairment and Alzheimer's disease. Magn Reson Imaging, 2013, 31(6): 840-846. DOI: 10.1016/j.mri.2013.02.008
27
Gong NJ, Wong CS, Chan CC, et al. Correlations between microstructural alterations and severity of cognitive deficiency in Alzheimer's disease and mild cognitive impairment: a diffusional kurtosis imaging study. Magn Reson Imaging, 2013, 31(5): 688-694. DOI: 10.1016/j.mri.2012.10.027
28
Pasternak O, Sochen N, Gur Y, et al. Free water elimination and mapping from diffusion MRI. Magn Reson Med, 2009, 62(3): 717-730. DOI: 10.1002/mrm.22055
29
Andica C, Kamagata K, Hatano T, et al. Free-water imaging in white and gray matter in Parkinson's disease. Cells, 2019, 8(8): 839. DOI: 10.3390/cells8080839
30
Raj D, Yin Z, Breur M, et al. Increased white matter inflammation in aging- and Alzheimer's disease brain. Front Mol Neurosci, 2017, 10: 206. DOI: 10.3389/fnmol.2017.00206
31
Dumont M, Roy M, Jodoin PM, et al. Free water in white matter differentiates MCI and AD from control subjects. Front Aging Neurosci, 2019, 11: 270. DOI: 10.3389/fnagi.2019.00270
32
Ofori E, DeKosky ST, Febo M, et al. Free-water imaging of the hippocampus is a sensitive marker of Alzheimer's disease. Neuroimage Clin, 2019, 24: 101985. DOI: 10.1016/j.nicl.2019.101985
33
Ji F, Pasternak O, Ng KK, et al. White matter microstructural abnormalities and default network degeneration are associated with early memory deficit in Alzheimer's disease continuum. Sci Rep, 2019, 9(1): 4749. DOI: 10.1038/s41598-019-41363-2
34
Maier-Hein KH, Westin CF, Shenton ME, et al. Widespread white matter degeneration preceding the onset of dementia. Alzheimers dement, 2015, 11(5): 485-93.e2. DOI: 10.1016/j.jalz.2014.04.518
35
Albi A, Pasternak O, Minati L, et al. Free water elimination improves test-retest reproducibility of diffusion tensor imaging indices in the brain: a longitudinal multisite study of healthy elderly subjects. Hum Brain Mapp, 2017, 38(1): 12-26. DOI: 10.1002/hbm.23350
36
Zhang H, Schneider T, Wheeler-Kingshott CA, et al. NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage, 2012, 61(4): 1000-1016. DOI: 10.1016/j.neuroimage.2012.03.072
37
Chung AW, Seunarine KK, Clark CA. NODDI reproducibility and variability with magnetic field strength: A comparison between 1.5 T and 3 T. Hum Brain Mapp, 2016, 37(12): 4550-4565. DOI: 10.1002/hbm.23328
38
Grussu F, Schneider T, Tur C, et al. Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology? Ann Clin Transl Neurol, 2017, 4(9): 663-679. DOI: 10.1002/acn3.445
39
Merluzzi AP, 3rd Dean DC, Adluru N, et al. Age-dependent differences in brain tissue microstructure assessed with neurite orientation dispersion and density imaging. Neurobiol Aging, 2016, 43: 79-88. DOI: 10.1016/j.neurobiolaging.2016.03.026
40
Vogt NM, Hunt JF, Adluru N, et al. Cortical microstructural alterations in mild cognitive impairment and Alzheimer's disease dementia. Cereb Cortex, 2020, 30(5): 2948-2960. DOI: 10.1093/cercor/bhz286
41
Parker TD, Slattery CF, Zhang J, et al. Cortical microstructure in young onset Alzheimer's disease using neurite orientation dispersion and density imaging. Hum Brain Mapp, 2018, 39(7): 3005-3017. DOI: 10.1002/hbm.24056
42
Ota M, Sato N, Maikusa N, et al. Whole brain analyses of age-related microstructural changes quantified using different diffusional magnetic resonance imaging methods. Jpn J Radiol, 2017, 35(10): 584-589. DOI: 10.1007/s11604-017-0670-7
43
Fu X, Shrestha S, Sun M, et al. Microstructural white matter Alterations in mild cognitive impairment and Alzheimer's disease: study based on neurite orientation dispersion and density imaging (NODDI). Clin Neuroradiol, 2020, 30(3): 569-579. DOI: 10.1007/s00062-019-00805-0

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