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• Clinical Article •
Predictive effect of resting state whole brain voxel level functional connectivity analysis on cognitive level of patients with mild cognitive impairment associated with cerebral small vessel disease
LIANG Xiuqin  LIU Bo  WU Jiang  LI Xuan 

Cite this article as: LIANG X Q, LIU B, WU J, et al. Predictive effect of resting state whole brain voxel level functional connectivity analysis on cognitive level of patients with mild cognitive impairment associated with cerebral small vessel disease[J]. Chin J Magn Reson Imaging, 2024, 15(4): 25-31. DOI:10.12015/issn.1674-8034.2024.04.005.


[Abstract] Objective The resting state functional MRI (rs-fMRI) sequence at the voxel level was used to explore the mechanism of early cognitive impairment in patients with mild cognitive impairment associated with cerebral small vessel disease (CSVD-MCI) and analyze its correlation with clinical neuropsychology indicators.Materials and Methods Twenty-one subjects who met the diagnostic criteria of CSVD-MCI by routine MRI were screened, and 20 healthy control (HC) subjects matched with their age, gender and years of education were selected. All subjects received rs-fMRI, and calculated the value of degree centrality (DC), the peak Montreal Neurological Institute (MNI) coordinates of the two groups with significantly different DC values were used as seed points for functional connectivity (FC) analysis with other voxels in the whole brain, correlation analysis was performed between DC and FC values and Montreal Cognitive Assessment (MoCA) scores in brain regions with differences in brain function between the two groups, to further analyze the correlation between CSVD total load score and MoCA score, and CSVD total load score and each cognitive domain score.Results Compared with the HC group, the left medial superior frontal gyrus/left anterior cingulate gyrus, left angular gyrus/left supramarginal gyrus, right medial superior frontal gyrus/right middle frontal gyrus, left cerebellum and right cerebellum DC values of the CSVD-MCI group were reduced, and the FC values of the left anterior cingulate gyrus, left middle inferior temporal gyrus, bilateral precuneus, and bilateral middle cingulate gyrus were reduced. There was a significant negative correlation between white matter high signal score, CSVD total load score, and MoCA score (rs=-0.461, P=0.036; rs=-0.458, P=0.037); the total load score of CSVD was negatively correlated with visual space and executive function scores (rs=-0.473, P=0.030), but not significantly correlated with other cognitive domain scores. In the CSVD-MCI group, the FC value of left anterior cingulate cortex and right precuneus was significantly positively correlated with MoCA score (r=0.565, P=0.018).Conclusions Conventional MRI can display characteristic imaging lesions of CSVD, while rs-fMRI sequence can early detect reduced DC and FC in brain regions. The CSVD score and DC, FC are significantly correlated with clinical neuropsychological scores, and can serve as potential imaging markers for CSVD-MCI patients, revealing the potential mechanism of cognitive decline.
[Keywords] mild cognitive impairment associated with cerebral small vessel disease；resting state functional magnetic resonance imaging；magnetic resonance imaging；degree centrality；functional connectivity

LIANG Xiuqin1   LIU Bo2   WU Jiang1*   LI Xuan1  

1 Department of Magnetic Resonance, Cardiovascular Hospital of Shanxi Province, Taiyuan 030024, China

2 Department of Medical Imaging, Shanxi Medical University, Taiyuan 030001, China

Corresponding author: WU J, E-mail: wujiang1024@sina.com

Conflicts of interest   None.

Received  2023-07-11
Accepted  2024-03-04
DOI: 10.12015/issn.1674-8034.2024.04.005
Cite this article as: LIANG X Q, LIU B, WU J, et al. Predictive effect of resting state whole brain voxel level functional connectivity analysis on cognitive level of patients with mild cognitive impairment associated with cerebral small vessel disease[J]. Chin J Magn Reson Imaging, 2024, 15(4): 25-31. DOI:10.12015/issn.1674-8034.2024.04.005.

[1]
GORELICK P B, COUNTS S E, NYENHUIS D. Vascular cognitive impairment and dementia[J]. Biochim Biophys Acta, 2016, 1862(5): 860-868. DOI: 10.1016/j.bbadis.2015.12.015.
[2]
PENG D. Clinical practice guideline for cognitive impairment of cerebral small vessel disease[J]. Aging Med (Milton), 2019, 2(2): 64-73. DOI: 10.1002/agm2.12073.
[3]
RUNK T, TOLEA M, ARIKO T, et al. Vascular Cognitive Impairment (VCI)[J].Neurotherapeutics, 2022, 19(1): 68-88. DOI: 10.1007/s13311-021-01170-y.
[4]
CHEN X, WANG J, SHAN Y, et al. Cerebral small vessel disease: neuroimaging markers and clinical implication[J]. J Neurol, 2019, 266(10): 2347-2362. DOI: 10.1007/s00415-018-9077-3.
[5]
CANNISTRARO R J, BADI M, EIDELMAN B H, et al. CNS small vessel disease: A clinical review[J]. Neurology, 2019, 92(24): 1146-1156. DOI: 10.1212/WNL.0000000000007654.
[6]
HUANG X, CHEN C, ZHANG Q, et al. Meta-analysis of the efficacy of acupuncture in the treatment of the vascular cognitive impairment associated with cerebral small vessel disease[J]. Explore, 2023, 19(4): 509-518. DOI: 10.1016/j.explore.2022.10.019.
[7]
LI Y, LIU X, JIA X, et al. Structural and functional alterations in cerebral small vessel disease: an ALE-based meta-analysis[J]. Cereb Cortex, 2023, 33(9): 5484-5492. DOI: 10.1093/cercor/bhac435.
[8]
DU J, XU Q. Neuroimaging studies on cognitive impairment due to cerebral small vessel disease[J]. Stroke Vasc Neurol, 2019, 4(2): 99-101. DOI: 10.1136/svn-2018-000209.
[9]
KANG X M, LI H B. Application and research progress of MRI on cerebral small vessel disease and vascular cognitive impairment[J]. Chin J Magn Reson Imaging, 2022, 13(9): 132-135. DOI: 10.12015/issn.1674-8034.2022.09.031.
[10]
LI H Y, JIA X Q, LI Y Y, et al. Aberrant amplitude of low-frequency fluctuation and degree centrality within the default mode network in patients with vascular mild cognitive impairment[J/OL]. Brain Sci, 2021, 11(11): 1534 [2023-12-02]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615791. DOI: 10.3390/brainsci11111534.
[11]
TANG W, XU Q, GAO T T, et al. Abnormal degree centrality values in the frontotemporal lobe, cerebellum and sensorimotor regions are associated with gait freezing in Parkinson's patients[J]. Chin J Magn Reson Imaging, 2022, 13(7): 84-89. DOI: 10.12015/issn.1674-8034.2022.07.015.
[12]
COLE D M, SMITH S M, BECKMANN C F. Advances and pitfalls in the analysis and interpretation of resting-state FMRI data[J/OL]. Front Syst Neurosci, 2010, 4: 8 [2023-12-02]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2854531. DOI: 10.3389/fnsys.2010.00008.
[13]
HAHN A, LANZENBERGER R, KASPER S. Making sense of connectivity[J]. Int J Neuropsychopharmacol, 2019, 22(3): 194-207. DOI: 10.1093/ijnp/pyy100.
[14]
SCHULZ M, MALHERBE C, CHENG B, et al. Functional connectivity changes in cerebral small vessel disease-a systematic review of the resting-state MRI literature[J/OL]. BMC Med, 2021, 19(1): 103 [2023-12-02]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097883. DOI: 10.1186/s12916-021-01962-1.
[15]
ERIKSSON M I, SUMMANEN P, GORDIN D, et al. Cerebral small-vessel disease is associated with the severity of diabetic retinopathy in type 1 diabetes[J/OL]. BMJ Open Diabetes Res Care, 2021, 9(1): e002274 [2023-12-02]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386215. DOI: 10.1136/bmjdrc-2021-002274.
[16]
SIERRA C. Cerebral small vessel disease, cognitive impairment and vascular dementia[J]. Panminerva Med, 2012, 54(3): 179-188. DOI: 10.202207.
[17]
LI R S, HAN X L, HUA M Y, et al. Advances in magnetic resonance imaging studies in patients with cognitive impairment in type 2 diabetes mellitus[J]. Chin J Magn Reson Imaging, 2022, 13(2): 108-111, 115. DOI: 10.12015/issn.1674-8034.2022.02.026.
[18]
MA Y, SONG A, VISWANATHAN A, et al. Blood pressure variability and cerebral small vessel disease a systematic review and meta-analysis of population-based cohorts[J]. Stroke, 2020, 51(1): 82-89. DOI: 10.1161/STROKEAHA.119.026739.
[19]
ZHANG L, GAO F, ZHANG Y, et al. Analysis of risk factors for the development of cognitive dysfunction in patients with cerebral small vessel disease and the construction of a predictive model[J/OL]. Front Neurol, 2022, 13: 944205 [2023-12-02]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403715. DOI: 10.3389/fneur.2022.944205.
[20]
LIVINGSTON G, HUNTLEY J, SOMMERLAD A, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission[J]. The Lancet, 2020, 396(10248): 413-446. DOI: 10.1016/S0140-6736(20)30367-6.
[21]
DENG L X, RUAN X L, HUANG H P, et al. Impaired functional connectivity of anterior cingulated cortexin vascular cognitive impairment with non dementia explored by resting state functional magnetic resonance imaging[J]. Chin J Neurol, 2014, 47(4): 219-224. DOI: 10.3760/cma.j.issn.1006-7876.2014.04.002.
[22]
FENG M M, WEN H W, XIN H T, et al. Altered spontaneous brain activity related to neurologic dysfunction in patients with cerebral small vessel disease[J/OL]. Front Aging Neurosci, 2021, 13: 731585 [2023-12-02]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718906. DOI: 10.3389/fnagi.2021.731585.
[23]
SCHAEFER A, QUINQUE E M, KIPPING J A, et al. Early small vessel disease affects frontoparietal and cerebellar hubs in close correlation with clinical symptoms--a resting-state fMRI study[J]. J Cereb Blood Flow Metab, 2014, 34(7): 1091-1095. DOI: 10.1038/jcbfm.2014.70.
[24]
XIONG S N, WAN N, GUO R, et al. Resting state functional magnetic resonance imaging observation on the characteristics of spontaneous brain activity and functional connectivity in Parkinson's diseases[J]. Chin J Magn Reson Imaging, 2023, 14(1): 25-31. DOI: 10.12015/issn.1674-8034.2023.01.005.
[25]
CAO S S, NIE J J, ZHANG J, et al. The cerebellum is related to cognitive dysfunction in white matter hyperintensities[J/OL]. Front Aging Neurosci, 2021, 13: 670463 [2023-12-02]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261068. DOI: 10.3389/fnagi.2021.670463.
[26]
CAI L N, LI X L, CUI X, et al. Research progress of different analysis methods of resting state magnetic resonance imaging in vascular cognitive impairment no dementia[J]. Chin J Magn Reson Imaging, 2022, 13(9): 116-119. DOI: 10.12015/issn.1674-8034.2022.09.027.
[27]
LI X, YUAN J, QIN W, et al. Higher total cerebral small vessel disease burden was associated with mild cognitive impairment and overall cognitive dysfunction: A propensity score-matched case-control study[J/OL]. Front Aging Neurosci, 2021, 13: 695732 [2023-12-02]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312094. DOI: 10.3389/fnagi.2021.695732.
[28]
LIANG Y, CHEN Y K, LIU Y L, et al. Cerebral small vessel disease burden is associated with accelerated poststroke cognitive decline: A 1-year follow-up study[J]. J Geriatr Psychiatry Neurol, 2019, 32(6): 336-343. DOI: 10.1177/0891988719862630.
[29]
DEBETTE S, SCHILLING S, DUPERRON M G, et al. Clinical significance of magnetic resonance imaging markers of vascular brain injury: A systematic review and meta-analysis[J]. JAMA Neurol, 2019, 76(1): 81-94. DOI: 10.1001/jamaneurol.2018.3122.
[30]
SEKI M, YOSHIZAWA H, HOSOYA M, et al. Neuropsychological profile of early cognitive impairment in cerebral small vessel disease[J]. Cerebrovasc Dis, 2022, 51(5): 600-607. DOI: 10.1159/000522438.
[31]
DU J, WANG Y, ZHI N, et al. Structural brain network measures are superior to vascular burden scores in predicting early cognitive impairment in post stroke patients with small vessel disease[J/OL]. NeuroImage Clin, 2019, 22: 101712 [2023-12-02]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378318. DOI: 10.1016/j.nicl.2019.101712.
[32]
WARD A M, MORMINO E C, HUIJBERS W, et al. Relationships between default-mode network connectivity, medial temporal lobe structure, and age-related memory deficits[J]. Neurobiol Aging, 2015, 36(1): 265-272. DOI: 10.1016/j.neurobiolaging.2014.06.028.
[33]
FREY B M, PETERSEN M, SCHLEMM E, et al. White matter integrity and structural brain network topology in cerebral small vessel disease: The Hamburg city health study[J]. Hum Brain Mapp, 2021, 42(5): 1406-1415. DOI: 10.1002/hbm.25301.
[34]
SACHDEV P S, BRODATY H, VALENZUELA M J, et al. The neuropsychological profile of vascular cognitive impairment in stroke and TIA patients[J]. Neurology, 2004, 62(6): 912-919. DOI: 10.1212/01.wnl.0000115108.65264.4b.
[35]
ZOTIN M C Z, SVEIKATA L, VISWANATHAN A, et al. Cerebral small vessel disease and vascular cognitive impairment from diagnosis to management[J]. Curr Opin Neurol, 2021, 34(2): 246-257. DOI: 10.1097/WCO.0000000000000913.

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