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Current Alzheimer Research

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ISSN (Print): 1567-2050
ISSN (Online): 1875-5828

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Research Article

Alterations of Cerebral Blood Flow and its Connectivity Patterns Measured with Arterial Spin Labeling in Mild Cognitive Impairment

Author(s): Mingjuan Qiu, Di Zhou, Haiyan Zhu, Yongjia Shao, Yan Li, Yibin Wang, Genlin Zong and Qian Xi*

Volume 20, Issue 8, 2023

Published on: 25 October, 2023

Page: [567 - 576] Pages: 10

DOI: 10.2174/0115672050241163231017073139

Price: $65

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Abstract

Objectives: Cerebral blood flow (CBF) is an important index for measuring brain function. Studies have shown that regional CBF changes inconsistently in mild cognitive impairment (MCI). Arterial spin labeling (ASL) is widely used in the study of CBF in patients with MCI. However, alterations in CBF connectivity in these patients remain poorly understood.

Methods: In this study, 3D pseudo-continuous arterial spin labeling (3D-pCASL) technology was used to investigate the changes in regional CBF and CBF connectivity between 32 MCI patients and 32 healthy controls. The normalized CBF was used to reduce inter-subject variations. Both group comparisons in the CBF and correlations between CBF alterations and cognitive scores were assessed. CBF connectivity of brain regions with regional CBF differences was also compared between groups.

Results: We found that compared with that in controls, the CBF was significantly reduced in the left superior parietal gyrus in MCI patients, whereas it was increased in the left precentral gyrus, right superior temporal gyrus, right putamen, and left supplementary motor area. In patients with MCI, significant correlations were identified between CBF and neuropsychological scales. Importantly, MCI patients exhibited CBF disconnections between the left supplementary motor area and the left superior parietal gyrus.

Conclusion: This study found that there are not only changes in regional CBF but also in CBF connectivity patterns in MCI patients compared with controls. These observations may provide a novel explanation for the neural mechanism underlying the pathophysiology in patients with Alzheimer’s disease and MCI.

Keywords: Mild cognitive impairment, Alzheimer’s disease, arterial spin labeling, cerebral blood flow, cerebral blood flow connectivity, brain function.

« Previous Next »
[1]
Chandra A, Dervenoulas G, Politis M. Magnetic resonance imaging in Alzheimer’s disease and mild cognitive impairment. J Neurol 2019; 266(6): 1293-302.
[http://dx.doi.org/10.1007/s00415-018-9016-3] [PMID: 30120563]
[2]
Morley JE. An overview of cognitive impairment. Clin Geriatr Med 2018; 34(4): 505-13.
[http://dx.doi.org/10.1016/j.cger.2018.06.003] [PMID: 30336985]
[3]
Zhang N, Gordon ML, Goldberg TE. Cerebral blood flow measured by arterial spin labeling MRI at resting state in normal aging and Alzheimer’s disease. Neurosci Biobehav Rev 2017; 72: 168-75.
[http://dx.doi.org/10.1016/j.neubiorev.2016.11.023] [PMID: 27908711]
[4]
Hernandez-Garcia L, Lahiri A, Schollenberger J. Recent progress in ASL. Neuroimage 2019; 187: 3-16.
[http://dx.doi.org/10.1016/j.neuroimage.2017.12.095] [PMID: 29305164]
[5]
van der Thiel M, Rodriguez C, Van De Ville D, Giannakopoulos P, Haller S. Regional cerebral perfusion and cerebrovascular reactivity in elderly controls with subtle cognitive deficits. Front Aging Neurosci 2019; 11: 19.
[http://dx.doi.org/10.3389/fnagi.2019.00019] [PMID: 30837863]
[6]
Wang X, Ding D, Zhao Q, et al. Brain hemodynamic changes in amnestic mild cognitive impairment measured by pulsed arterial spin labeling. Aging (Albany NY) 2020; 12(5): 4348-56.
[http://dx.doi.org/10.18632/aging.102888] [PMID: 32167487]
[7]
Alsop DC, Detre JA, Grossman M. Assessment of cerebral blood flow in Alzheimer’s disease by spin-labeled magnetic resonance imaging. Ann Neurol 2000; 47(1): 93-100.
[http://dx.doi.org/10.1002/1531-8249(200001)47:1<93:AID-ANA15>3.0.CO;2-8] [PMID: 10632106]
[8]
de Eulate RG, Goñi I, Galiano A, et al. Reduced cerebral blood flow in mild cognitive impairment assessed using phase-contrast MRI. J Alzheimers Dis 2017; 58(2): 585-95.
[http://dx.doi.org/10.3233/JAD-161222] [PMID: 28453476]
[9]
Benedictus MR, Leeuwis AE, Binnewijzend MAA, et al. Lower cerebral blood flow is associated with faster cognitive decline in Alzheimer’s disease. Eur Radiol 2017; 27(3): 1169-75.
[http://dx.doi.org/10.1007/s00330-016-4450-z] [PMID: 27334014]
[10]
Rubinov M, Sporns O. Complex network measures of brain connectivity: Uses and interpretations. Neuroimage 2010; 52(3): 1059-69.
[http://dx.doi.org/10.1016/j.neuroimage.2009.10.003] [PMID: 19819337]
[11]
Melie-García L, Sanabria-Diaz G, Sánchez-Catasús C. Studying the topological organization of the cerebral blood flow fluctuations in resting state. Neuroimage 2013; 64: 173-84.
[http://dx.doi.org/10.1016/j.neuroimage.2012.08.082] [PMID: 22975159]
[12]
Zhu J, Zhuo C, Xu L, Liu F, Qin W, Yu C. Altered coupling between resting-state cerebral blood flow and functional connectivity in schizophrenia. Schizophr Bull 2017; 43(6): 1363-74.
[http://dx.doi.org/10.1093/schbul/sbx051] [PMID: 28521048]
[13]
Liang X, Zou Q, He Y, Yang Y. Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain. Proc Natl Acad Sci 2013; 110(5): 1929-34.
[http://dx.doi.org/10.1073/pnas.1214900110] [PMID: 23319644]
[14]
Göttler J, Preibisch C, Riederer I, et al. Reduced blood oxygenation level dependent connectivity is related to hypoperfusion in Alzheimer’s disease. J Cereb Blood Flow Metab 2019; 39(7): 1314-25.
[http://dx.doi.org/10.1177/0271678X18759182] [PMID: 29431005]
[15]
Dai W, Varma G, Scheidegger R, Alsop DC. Quantifying fluctuations of resting state networks using arterial spin labeling perfusion MRI. J Cereb Blood Flow Metab 2016; 36(3): 463-73.
[http://dx.doi.org/10.1177/0271678X15615339] [PMID: 26661226]
[16]
Gardini S, Venneri A, Sambataro F, et al. Increased functional connectivity in the default mode network in mild cognitive impairment: a maladaptive compensatory mechanism associated with poor semantic memory performance. J Alzheimers Dis 2015; 45(2): 457-70.
[http://dx.doi.org/10.3233/JAD-142547] [PMID: 25547636]
[17]
Pinto TCC, Machado L, Bulgacov TM, et al. Is the Montreal Cognitive Assessment (MoCA) screening superior to the Mini-Mental State Examination (MMSE) in the detection of mild cognitive impairment (MCI) and Alzheimer’s Disease (AD) in the elderly? Int Psychogeriatr 2019; 31(4): 491-504.
[http://dx.doi.org/10.1017/S1041610218001370] [PMID: 30426911]
[18]
Sierra-Marcos A. Regional cerebral blood flow in mild cognitive impairment and alzheimer’s disease measured with arterial spin labeling magnetic resonance imaging. Int J Alzheimers Dis 2017; 2017: 1-10.
[http://dx.doi.org/10.1155/2017/5479597] [PMID: 28573062]
[19]
Alexopoulos P, Sorg C, Förschler A, et al. Perfusion abnormalities in mild cognitive impairment and mild dementia in Alzheimer’s disease measured by pulsed arterial spin labeling MRI. Eur Arch Psychiatry Clin Neurosci 2012; 262(1): 69-77.
[http://dx.doi.org/10.1007/s00406-011-0226-2] [PMID: 21786091]
[20]
Okonkwo O, Xu G, Oh J, et al. Cerebral blood flow is diminished in asymptomatic middle-aged adults with maternal history of alzheimer’s disease. Cerebral Cortex 2014; 24(4): 978-88.
[21]
Hays CC, Zlatar ZZ, Wierenga CE. The utility of cerebral blood flow as a biomarker of preclinical Alzheimer’s Disease. Cell Mol Neurobiol 2016; 36(2): 167-79.
[http://dx.doi.org/10.1007/s10571-015-0261-z] [PMID: 26898552]
[22]
Park KW, Yoon HJ, Kang DY, Kim BC, Kim S, Kim JW. Regional cerebral blood flow differences in patients with mild cognitive impairment between those who did and did not develop Alzheimer’s disease. Psychiatry Res Neuroimaging 2012; 203(2-3): 201-6.
[http://dx.doi.org/10.1016/j.pscychresns.2011.12.007] [PMID: 22980226]
[23]
Wierenga CE, Hays CC, Zlatar ZZ. Cerebral blood flow measured by arterial spin labeling MRI as a preclinical marker of Alzheimer’s disease. J Alzheimers Dis 2014; 42(S4): S411-9.
[http://dx.doi.org/10.3233/JAD-141467] [PMID: 25159672]
[24]
Alsop DC, Casement M, de Bazelaire C, Fong T, Press DZ. Hippocampal hyperperfusion in Alzheimer’s disease. Neuroimage 2008; 42(4): 1267-74.
[http://dx.doi.org/10.1016/j.neuroimage.2008.06.006] [PMID: 18602481]
[25]
Hansson O, Grothe MJ, Strandberg TO, et al. Tau pathology distribution in alzheimer’s disease corresponds differentially to cognition-relevant functional brain networks. Front Neurosci 2017; 11: 167.
[http://dx.doi.org/10.3389/fnins.2017.00167] [PMID: 28408865]
[26]
Meng M, Liu F, Ma Y, et al. The identification and cognitive correlation of perfusion patterns measured with arterial spin labeling MRI in Alzheimer’s disease. Alzheimers Res Ther 2023; 15(1): 75.
[http://dx.doi.org/10.1186/s13195-023-01222-9] [PMID: 37038198]
[27]
Ding B, Ling HW, Huang J, 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.
[http://dx.doi.org/10.2147/CIA.S58879] [PMID: 24707173]
[28]
Dai W, Lopez OL, Carmichael OT, Becker JT, Kuller LH, Gach HM. Mild cognitive impairment and alzheimer disease: Patterns of altered cerebral blood flow at MR imaging. Radiology 2009; 250(3): 856-66.
[http://dx.doi.org/10.1148/radiol.2503080751] [PMID: 19164119]
[29]
Clément F, Belleville S. Compensation and disease severity on the memory-related activations in mild cognitive impairment. Biol Psychiatry 2010; 68(10): 894-902.
[http://dx.doi.org/10.1016/j.biopsych.2010.02.004] [PMID: 20359695]
[30]
Tetreault AM, Phan T, Orlando D, et al. Network localization of clinical, cognitive, and neuropsychiatric symptoms in Alzheimer’s disease. Brain 2020; 143(4): 1249-60.
[http://dx.doi.org/10.1093/brain/awaa058] [PMID: 32176777]
[31]
Zheng D, Xia W, Yi ZQ, et al. Alterations of brain local functional connectivity in amnestic mild cognitive impairment. Transl Neurodegener 2018; 7(1): 26.
[http://dx.doi.org/10.1186/s40035-018-0134-8] [PMID: 30443345]
[32]
Boscolo Galazzo I, Storti SF, Barnes A, et al. Arterial spin labeling reveals disrupted brain networks and functional connectivity in drug-resistant temporal epilepsy. Front Neuroinform 2019; 12: 101.
[http://dx.doi.org/10.3389/fninf.2018.00101] [PMID: 30894811]
[33]
Wang Z. Characterizing early Alzheimer’s disease and disease progression using hippocampal volume and arterial spin labeling perfusion MRI. J Alzheimers Dis 2014; 42(S4): S495-502.
[http://dx.doi.org/10.3233/JAD-141419] [PMID: 25182742]
[34]
Xu W, Chen S, Xue C, et al. Functional MRI-specific alterations in executive control network in mild cognitive impairment: An ALE meta-analysis. Front Aging Neurosci 2020; 12: 578863.
[http://dx.doi.org/10.3389/fnagi.2020.578863] [PMID: 33192472]
[35]
Jann K, Gee DG, Kilroy E, et al. Functional connectivity in BOLD and CBF data: Similarity and reliability of resting brain networks. Neuroimage 2015; 106: 111-22.
[http://dx.doi.org/10.1016/j.neuroimage.2014.11.028] [PMID: 25463468]

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