Share:
Share this content in WeChat
X
Original Article
Study on the change of resting state degree centrality and correlation in patients with obstructive sleep apnea
GAO Jing  TIAN Jing  HUANG Gang  ZHANG Wenwen  FANG Yanyan  ZHAO Lianping 

Cite this article as: Gao J, Tian J, Huang G, et al. Study on the change of resting state degree centrality and correlation in patients with obstructive sleep apnea[J]. Chin J Magn Reson Imaging, 2022, 13(4): 79-83, 88. DOI:10.12015/issn.1674-8034.2022.04.014.


[Abstract] Objective To utilize the resting state magnetic resonance imaging degree centrality (DC) techniques to explore the Abnormal alterations in the centrality of whole brain network nodes in patients with obstructive sleep apnea (OSA).Materials and Methods Thirty-nine newly diagnosed and treatment-naïve patients with OSA and 52 healthy controls were prospectively included for MRI cranial scan and cognitive psychological scale assessment. Compare the differences of whole brain DC values between the two groups, and then correlated with cognitive psychological scale scores and clinical data for analysis.Results Compared with controls, patients with OSA presented significantly lower DC values in the right precuneus and left medial superior frontal gyrus and significantly higher DC values in the right parahippocampal gyrus (GRF corrected, P<0.001 for single voxels, P<0.05 for cluster size). DC values of the left medial superior frontal gyrus was positively correlated with Insomnia Severity Index scores (r=0.326, P=0.043); DC values of the right parahippocampal gyrus was negatively correlated with the total Montreal Cognitive Assessment Scale (MoCA) score (r=-0.361, P=0.024) and MoCA memory score (r=-0.333, P=0.039).Conclusions Patients with OSA have abnormal DC values in the core brain regions of the default mode network and the parahippocampal gyrus, and such abnormalities are primarily associated with the cognitive memory function,which may be important neuroimaging biological markers of cognitive dysfunction in patients with OSA.
[Keywords] sleep apnea, obstructive;magnetic resonance imaging;degree centrality;cognitive dysfunction;emotional abnormalities

GAO Jing1   TIAN Jing1   HUANG Gang2   ZHANG Wenwen2   FANG Yanyan2   ZHAO Lianping2*  

1 The First Clinical Medical College, Gansu University of Chinese Medicine(Gansu Provincial Hospital), Lanzhou 730000, China

2 Department of Radiology, Gansu Provincial Hospital, Lanzhou 730000, China

Zhao LP, E-mail: lianping_zhao007@163.com

Conflicts of interest   None.

Received  2021-12-15
Accepted  2022-03-21
DOI: 10.12015/issn.1674-8034.2022.04.014
Cite this article as: Gao J, Tian J, Huang G, et al. Study on the change of resting state degree centrality and correlation in patients with obstructive sleep apnea[J]. Chin J Magn Reson Imaging, 2022, 13(4): 79-83, 88.DOI:10.12015/issn.1674-8034.2022.04.014

[1]
Benjafield AV, Ayas NT, Eastwood PR, et al. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis[J]. Lancet Respir Med, 2019, 7(8): 687-698. DOI: 10.1016/S2213-2600(19)30198-5.
[2]
Wu Y, Zhao WR, Chen XY, et al. Aberrant awake spontaneous brain activity in obstructive sleep apnea: a review focused on resting-state EEG and resting-state fMRI[J]. Front Neurol, 2020, 11: 768. DOI: 10.3389/fneur.2020.00768.
[3]
Lam A, Haroutonian C, Grummitt L, et al. Sleep-dependent memory in older people with and without MCI: the relevance of sleep microarchitecture, OSA, hippocampal subfields, and episodic memory[J]. Cereb Cortex, 2021, 31(6): 2993-3005. DOI: 10.1093/cercor/bhaa406.
[4]
Baril AA, Martineau-Dussault MÈ, Sanchez E, et al. Obstructive sleep apnea and the brain: a focus on gray and white matter structure[J]. Curr Neurol Neurosci Rep, 2021, 21(3): 11. DOI: 10.1007/s11910-021-01094-2.
[5]
Baril AA, Carrier J, Lafrenière A, et al. Biomarkers of dementia in obstructive sleep apnea[J]. Sleep Med Rev, 2018, 42: 139-148. DOI: 10.1016/j.smrv.2018.08.001.
[6]
Sun YM, Li DY, Liu WQ, et al. Advances in data processing of resting state functional magnetic resonance in obstructive sleep apnea hypopnea syndrome[J]. Radiol Pract, 2021, 36(1): 122-127. DOI: 10.13609/j.cnki.1000-0313.2021.01.024.
[7]
Zuo XN, Xing XX. Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective[J]. Neurosci Biobehav Rev, 2014, 45: 100-118. DOI: 10.1016/j.neubiorev.2014.05.009.
[8]
Li HJ, Li L, Shao Y, et al. Abnormal intrinsic functional hubs in severe male obstructive sleep apnea: evidence from a voxel-wise degree centrality analysis[J]. PLoS One, 2016, 11(10): e0164031. DOI: 10.1371/journal.pone.0164031.
[9]
Birn RM, Molloy EK, Patriat R, et al. The effect of scan length on the reliability of resting-state fMRI connectivity estimates[J]. Neuroimage, 2013, 83: 550-558. DOI: 10.1016/j.neuroimage.2013.05.099.
[10]
Yan CG. Resting state functional magnetic resonance imaging in the era of Big data—Toward the diagnosis and treatment of mental diseases[J]. Chin J Psychiatry, 2018, 51(4): 224-227. DOI: 10.3760/cma.j.issn.1006-7884.2018.04.002.
[11]
Buckner RL, Sepulcre J, Talukdar T, et al. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease[J]. J Neurosci, 2009, 29(6): 1860-1873. DOI: 10.1523/JNEUROSCI.5062-08.2009.
[12]
Mubashir T, Abrahamyan L, Niazi A, et al. The prevalence of obstructive sleep apnea in mild cognitive impairment: a systematic review[J]. BMC Neurol, 2019, 19(1): 195. DOI: 10.1186/s12883-019-1422-3.
[13]
Garbarino S, Bardwell WA, Guglielmi O, et al. Association of anxiety and depression in obstructive sleep apnea patients: a systematic review and meta-analysis[J]. Behav Sleep Med, 2020, 18(1): 35-57. DOI: 10.1080/15402002.2018.1545649.
[14]
Zhou L, Liu GQ, Luo H, et al. Aberrant hippocampal network connectivity is associated with neurocognitive dysfunction in patients with moderate and severe obstructive sleep apnea[J]. Front Neurol, 2020, 11: 580408. DOI: 10.3389/fneur.2020.580408.
[15]
Polsek D, Gildeh N, Cash D, et al. Obstructive sleep apnoea and Alzheimer's disease: in search of shared pathomechanisms[J]. Neurosci Biobehav Rev, 2018, 86: 142-149. DOI: 10.1016/j.neubiorev.2017.12.004.
[16]
Liguori C, Chiaravalloti A, Izzi F, et al. Sleep apnoeas may represent a reversible risk factor for amyloid-β pathology[J]. Brain, 2017, 140(12): e75. DOI: 10.1093/brain/awx281.
[17]
Khazaie H, Veronese M, Noori K, et al. Functional reorganization in obstructive sleep apnoea and insomnia: a systematic review of the resting-state fMRI[J]. Neurosci Biobehav Rev, 2017, 77: 219-231. DOI: 10.1016/j.neubiorev.2017.03.013.
[18]
Rostampour M, Noori K, Heidari M, et al. White matter alterations in patients with obstructive sleep apnea: a systematic review of diffusion MRI studies[J]. Sleep Med, 2020, 75: 236-245. DOI: 10.1016/j.sleep.2020.06.024.
[19]
van den Heuvel MP, Sporns O. Network hubs in the human brain[J]. Trends Cogn Sci, 2013, 17(12): 683-696. DOI: 10.1016/j.tics.2013.09.012.
[20]
Chen LT, Peng DC, Li J, et al. Abnormality of functional connectivity and topological properties of default mode network in patients with obstructive sleep apnea[J]. Chin J Med Imaging Technol, 2018, 34(8): 1153-1158. DOI: 10.13929/j.1003-3289.201710073.
[21]
Yang T, Shen BL, Wu AQ, et al. Abnormal functional connectivity of the amygdala in mild cognitive impairment patients with depression symptoms revealed by resting-state fMRI[J]. Front Psychiatry, 2021, 12: 533428. DOI: 10.3389/fpsyt.2021.533428.
[22]
Tanglay O, Young IM, Dadario NB, et al. Anatomy and white-matter connections of the precuneus[J]. Brain Imaging Behav, 2021. DOI: 10.1007/s11682-021-00529-1.
[23]
Chen T, Yang M, Liu B, et al. Regional homogeneity changes in patients with obstructive sleep apnea-hypopnea syndrome: resting-state functional MRI study[J]. Natl Med J China, 2016, 96(11): 868-873. DOI: 10.3760/cma.j.issn.0376-2491.2016.11.009.
[24]
Ji TT, Li XD, Qiu Y, et al. Disease characteristics and neuropathological changes associated with cognitive dysfunction in obstructive sleep apnea[J]. Pediatr Investig, 2021, 5(1): 52-57. DOI: 10.1002/ped4.12247.
[25]
Zhang Q, Wang DW, Qin W, et al. Altered resting-state brain activity in obstructive sleep apnea[J]. Sleep, 2013, 36(5): 651-659B. DOI: 10.5665/sleep.2620.
[26]
Qin ZY, Kang DJ, Feng X, et al. Resting-state functional magnetic resonance imaging of high altitude patients with obstructive sleep apnoea hypopnoea syndrome[J]. Sci Rep, 2020, 10(1): 15546. DOI: 10.1038/s41598-020-72339-2.
[27]
Chen HD, Wang J, Wang XS, et al. Relationship between cognitive impairment and sleep-related respiratory indexes in patients with obstructive sleep apnea[J]. Natl Med J China, 2020, 100(37): 2929-2933. DOI: 10.3760/cma.j.cn112137-20200224-00435.
[28]
Hu YX, Xia GY, Shi JY, et al. Analysis of the default network function connection of patients with insomnia disorder on resting state functional magnetic resonance[J]. Chin J Behav Med Brain Sci, 2021, 30(3): 206-212. DOI: 10.3760/cma.j.cn371468-20201026-01813.
[29]
Sharma N, Murari G, Vandermorris S, et al. Functional connectivity between the posterior default mode network and parahippocampal gyrus is disrupted in older adults with subjective cognitive decline and correlates with subjective memory ability[J]. J Alzheimers Dis, 2021, 82(1): 435-445. DOI: 10.3233/JAD-201579.
[30]
Chen LT, Peng DC, Li HJ, et al. Small-world property of the default mode network in obstructive sleep apnea: a resting-state functional magnetic resonance imaging study[J]. J Clin Radiol, 2018, 37(12): 1955-1960. DOI: 10.13437/j.cnki.jcr.2018.12.002.
[31]
Nie S, Peng DC, Gong HH, et al. Resting cerebral blood flow alteration in severe obstructive sleep apnoea: an arterial spin labelling perfusion fMRI study[J]. Schlaf Atmung, 2017, 21(2): 487-495. DOI: 10.1007/s11325-017-1474-9.
[32]
Roosendaal SD, Hulst HE, Vrenken H, et al. Structural and functional hippocampal changes in multiple sclerosis patients with intact memory function[J]. Radiology, 2010, 255(2): 595-604. DOI: 10.1148/radiol.10091433.
[33]
Cheng W, Rolls ET, Ruan HT, et al. Functional connectivities in the brain that mediate the association between depressive problems and sleep quality[J]. JAMA Psychiatry, 2018, 75(10): 1052-1061. DOI: 10.1001/jamapsychiatry.2018.1941.

PREV Functional connectivity and regional homogeneity of resting state functional magnetic resonance imaging in patients with Ménière Disease
NEXT Compared study on the efficacy and safety of MR and CT guided percutaneous VX2 hepatic para-vascular tumor model in rabbits
  



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