Share:
Share this content in WeChat
X
Original Article
Alterations in amplitude of low frequency fluctuation and regional homogeneity in patients with neuromyelitis optica spectrum disorder and cognitive impairment: A resting-state functional magnetic resonance imaging study
YANG Yang  RUI Qianyun  CHEN Xiang  HAN Shuting  WU Xiaojuan  XUE Qun  LI Yonggang 

Cite this article as: Yang Y, Rui QY, Chen X, et al. Alterations in amplitude of low frequency fluctuation and regional homogeneity in patients with neuromyelitis optica spectrum disorder and cognitive impairment: A resting-state functional magnetic resonance imaging study[J]. Chin J Magn Reson Imaging, 2022, 13(4): 62-68. DOI:10.12015/issn.1674-8034.2022.04.011.


[Abstract] Objective To investigate the alterations in amplitude of low frequency fluctuation (ALFF) and regional homogeneity (ReHo) in cognitively impaired patients with neuromyelitis optica spectrum disorder (NMOSD).Materials and Methods Thirty-four patients with NMOSD and 39 healthy controls were included and underwent neuropsychological evaluations and resting-state functional magnetic resonance imaging scanning. Patients were classified as cognitively impaired (n=16) and cognitively preserved (n=18). ALFF and ReHo analyses were used to explore the differences in brain spontaneous activity among the cognitively impaired, cognitively preserved and healthy control groups. Data were processed and analysed using the DPABI toolbox based on MATLAB. Two-sample t-tests were used for comparisons of ALFF and ReHo between each two groups. ALFF and ReHo values in brain regions that showed statistical significance were extracted for correlation analysis with clinical and neuropsychological data in the whole NMOSD group.Results The cognitively impaired group showed significantly higher ALFF in the left caudate nucleus and left parahippocampal gyrus compared to the cognitively preserved group, significantly higher ALFF in the left caudate nucleus compared to the healthy control group, and significantly lower ReHo in the left middle cingulate cortex compared to the healthy control group (P<0.001 at voxel level and P<0.05 at cluster level, GRF corrected). ALFF and ReHo values in brain regions with statistical significance showed significant correlations with multiple cognitive test scores in NMOSD patients. Also, ALFF values in the left caudate nucleus and parahippocampal gyrus were positively correlated with the number of relapses in patients (P<0.05).Conclusions Abnormal baseline brain activity in the left parahippocampal gyrus, caudate nucleus and middle cingulate cortex may be implicated in the neural mechanisms of cognitive decline in patients with NMOSD.
[Keywords] neuromyelitis optica spectrum disorder;cognitive impairment;resting-state functional magnetic resonance imaging;amplitude of low frequency fluctuation;regional homogeneity

YANG Yang1   RUI Qianyun2   CHEN Xiang1   HAN Shuting1   WU Xiaojuan1   XUE Qun2*   LI Yonggang1*  

1 Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China

2 Department of Neurology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China

Li YG, E-mail: liyonggang224@163.com Xue Q, E-mail: qxue_sz@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 81671743); Translational Research Grant of National Clinical Research Center for Hematological Diseases (No. 2020WSB06); Jiangsu Provincial Key Research and Development Program Clinical Frontier Technology Key Project (No. BE2019666); the Program for Advanced Talents within Six Industries of Jiangsu Province (No. WSW-057); High-level Health Personnel 'Six-One' Project of Jiangsu Province in China (No. LGY2016035); the Program for Gusu Medical Talent of Suzhou City (No. GSWS2020009); Clinical Key Diseases Diagnosis and Therapy Special Project of Health and Family Planning Commission of Suzhou (No. LCZX201801).
Received  2021-10-27
Accepted  2022-03-16
DOI: 10.12015/issn.1674-8034.2022.04.011
Cite this article as: Yang Y, Rui QY, Chen X, et al. Alterations in amplitude of low frequency fluctuation and regional homogeneity in patients with neuromyelitis optica spectrum disorder and cognitive impairment: A resting-state functional magnetic resonance imaging study[J]. Chin J Magn Reson Imaging, 2022, 13(4): 62-68. DOI:10.12015/issn.1674-8034.2022.04.011.

[1]
Wingerchuk DM, Banwell B, Bennett JL, et al. International consensus diagnostic criteria for neuromyelitis optica spectrum disorders[J]. Neurology, 2015, 85(2): 177-189. DOI: 10.1212/WNL.0000000000001729.
[2]
Papp V, Magyari M, Aktas O, et al. Worldwide Incidence and Prevalence of Neuromyelitis Optica: A Systematic Review[J]. Neurology, 2021, 96(2): 59-77. DOI: 10.1212/WNL.0000000000011153.
[3]
Tian DC, Li Z, Yuan M, et al. Incidence of neuromyelitis optica spectrum disorder (NMOSD) in China: A national population-based study[J]. Lancet Reg Health West Pac, 2020, 2: 100021. DOI: 10.1016/j.lanwpc.2020.100021.
[4]
Moghadasi A, Mirmosayyeb O, Mohammadi A, et al. The prevalence of cognitive impairment in patients with neuromyelitis optica spectrum disorders (NMOSD): A systematic review and meta-analysis[J]. 2021, 49102757. DOI: 10.1016/j.msard.2021.102757.
[5]
Czarnecka D, Oset M, Karlinska I, et al. Cognitive impairment in NMOSD-More questions than answers[J]. Brain Behav, 2020, 10(11): e01842. DOI: 10.1002/brb3.1842.
[6]
Oertel FC, Schliesseit J, Brandt AU, et al. Cognitive Impairment in Neuromyelitis Optica Spectrum Disorders: A Review of Clinical and Neuroradiological Features[J]. Front Neurol, 2019, 10: 608. DOI: 10.3389/fneur.2019.00608.
[7]
Zang YF, He Y, Zhu CZ, et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI[J]. Brain Dev, 2007, 29(2): 83-91. DOI: 10.1016/j.braindev.2006.07.002.
[8]
Zang Y, Jiang T, Lu Y, et al. Regional homogeneity approach to fMRI data analysis[J]. Neuroimage, 2004, 22(1): 394-400. DOI: 10.1016/j.neuroimage.2003.12.030.
[9]
Lv H, Wang Z, Tong E, et al. Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know[J]. AJNR Am J Neuroradiol, 2018, 39(8): 1390-1399. DOI: 10.3174/ajnr.A5527.
[10]
Liu Y, Jiang X, Butzkueven H, et al. Multimodal characterization of gray matter alterations in neuromyelitis optica[J]. Mult Scler, 2018, 24(10): 1308-1316. DOI: 10.1177/1352458517721053.
[11]
Liang P, Liu Y, Jia X, et al. Regional homogeneity changes in patients with neuromyelitis optica revealed by resting-state functional MRI[J]. Clin Neurophysiol, 2011, 122(1): 121-127. DOI: 10.1016/j.clinph.2010.05.026.
[12]
Liu Y, Fu Y, Schoonheim MM, et al. Structural MRI substrates of cognitive impairment in neuromyelitis optica[J]. Neurology, 2015, 85(17): 1491-1499. DOI: 10.1212/wnl.0000000000002067.
[13]
Ji J, Zhao CY, Liu YY, et al. Correlation between changes of amplitude of low-frequency fluctuation and cognitive impairment in patients with mild hepatic encephalopathy[J]. Chin J Neuromed, 2020, 19(11): 1109-1115. DOI: 10.3760/cma.j.cn115354-20200512-00361.
[14]
Yu R, Chien YL, Wang HL, et al. Frequency-specific alternations in the amplitude of low-frequency fluctuations in schizophrenia[J]. Hum Brain Mapp, 2014, 35(2): 627-637. DOI: 10.1002/hbm.22203.
[15]
Liu Y, Xiong H, Li X, et al. Abnormal Baseline Brain Activity in Neuromyelitis Optica Patients Without Brain Lesion Detected by Resting-State Functional Magnetic Resonance Imaging[J]. Neuropsychiatr Dis Treat, 2020, 16: 71-79. DOI: 10.2147/NDT.S232924.
[16]
Wang F, Liu Y, Li J, et al. Abnormal brain function in neuromyelitis optica: A fMRI investigation of mPASAT[J]. Eur J Radiol, 2017, 95: 197-201. DOI: 10.1016/j.ejrad.2017.08.012.
[17]
Peng X, Burwell RD. Beyond the hippocampus: The role of parahippocampal-prefrontal communication in context-modulated behavior[J]. Neurobiol Learn Mem, 2021, 185: 107520. DOI: 10.1016/j.nlm.2021.107520.
[18]
Seger CA, Cincotta CM. The roles of the caudate nucleus in human classification learning[J]. J Neurosci, 2005, 25(11): 2941-2951. DOI: 10.1523/JNEUROSCI.3401-04.2005.
[19]
Li J, Liao H, Wang T, et al. Alterations of Regional Homogeneity in the Mild and Moderate Stages of Parkinson's Disease[J]. Front Aging Neurosci, 2021, 13: 676899. DOI: 10.3389/fnagi.2021.676899.
[20]
Chen B, Wang Q, Zhong X, et al. Structural and functional abnormalities of olfactory-related regions in subjective cognitive decline, mild cognitive impairment and Alzheimer's disease[J]. Int J Neuropsychopharmacol, 2021. DOI: 10.1093/ijnp/pyab091.
[21]
Savoldi F, Rocca MA, Valsasina P, et al. Functional brain connectivity abnormalities and cognitive deficits in neuromyelitis optica spectrum disorder[J]. Mult Scler, 2020, 26(7): 795-805. DOI: 10.1177/1352458519845109.
[22]
Vogt BA. Midcingulate cortex: Structure, connections, homologies, functions and diseases[J]. J Chem Neuroanat, 2016, 74: 28-46. DOI: 10.1016/j.jchemneu.2016.01.010.
[23]
Ruppert MC, Greuel A, Freigang J, et al. The default mode network and cognition in Parkinson's disease: A multimodal resting-state network approach[J]. Hum Brain Mapp, 2021, 42(8): 2623-2641. DOI: 10.1002/hbm.25393.
[24]
Crossley NA, Mechelli A, Scott J, et al. The hubs of the human connectome are generally implicated in the anatomy of brain disorders[J]. Brain, 2014, 137(Pt 8): 2382-2395. DOI: 10.1093/brain/awu132.

PREV Identification of Alzheimer,s disease and mild cognitive impairment patients using individual-specific functional connectivity
NEXT Study on diffusion kurtosis imaging of the caput nuclei caudate in children with autism spectrum disorder
  



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