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. 2023 Dec 7:14:1289934.
doi: 10.3389/fneur.2023.1289934. eCollection 2023.

Abnormalities of cerebral blood flow and the regional brain function in Parkinson's disease: a systematic review and multimodal neuroimaging meta-analysis

Hao Xie #  1 , Yang Yang #  1 , Qian Sun #  1 , Ze-Yang Li  1 , Min-Hua Ni  1 , Zhu-Hong Chen  1 , Si-Ning Li  1   2 , Pan Dai  1   2 , Yan-Yan Cui  1   3 , Xin-Yu Cao  1   4 , Nan Jiang  1 , Li-Juan Du  1 , Ying Yu  1 , Lin-Feng Yan  1 , Guang-Bin Cui  1
Affiliations

Abnormalities of cerebral blood flow and the regional brain function in Parkinson's disease: a systematic review and multimodal neuroimaging meta-analysis

Hao Xie et al. Front Neurol. .

Abstract

Background: Parkinson's disease (PD) is a neurodegenerative disease with high incidence rate. Resting state functional magnetic resonance imaging (rs-fMRI), as a widely used method for studying neurodegenerative diseases, has not yet been combined with two important indicators, amplitude low-frequency fluctuation (ALFF) and cerebral blood flow (CBF), for standardized analysis of PD.

Methods: In this study, we used seed-based d-mapping and permutation of subject images (SDM-PSI) software to investigate the changes in ALFF and CBF of PD patients. After obtaining the regions of PD with changes in ALFF or CBF, we conducted a multimodal analysis to identify brain regions where ALFF and CBF changed together or could not synchronize.

Results: The final study included 31 eligible trials with 37 data sets. The main analysis results showed that the ALFF of the left striatum and left anterior thalamic projection decreased in PD patients, while the CBF of the right superior frontal gyrus decreased. However, the results of multimodal analysis suggested that there were no statistically significant brain regions. In addition, the decrease of ALFF in the left striatum and the decrease of CBF in the right superior frontal gyrus was correlated with the decrease in clinical cognitive scores.

Conclusion: PD patients had a series of spontaneous brain activity abnormalities, mainly involving brain regions related to the striatum-thalamic-cortex circuit, and related to the clinical manifestations of PD. Among them, the left striatum and right superior frontal gyrus are more closely related to cognition.

Systematic review registration: https://www.crd.york.ac.uk/ PROSPERO (CRD42023390914).

Keywords: Parkinson’s disease; cognition; coordinate-based meta-analysis; functional magnetic resonance imaging; functional neuroimaging.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flow diagram for identifying studies to be included in the meta-analysis.
Figure 2
Figure 2
Differences in ALFF and CBF between PD and HCs groups. Meta-analyses results regarding. (A) ALFF difference between PD and HCs, (B) CBF difference between PD and HCs.
Figure 3
Figure 3
Forest and funnel plots of peak MNI coordinates. (A,B) Peak MNI coordinates of clusters with reduced ALFF in PD group; (C) Peak MNI coordinates of clusters with reduced CBF in PD.
See this image and copyright information in PMC

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References

    1. Wang J, Zhang W, Zhou Y, Jia J, Li Y, Liu K, et al. . Altered prefrontal blood flow related with mild cognitive impairment in Parkinson's disease: a longitudinal study. Front Aging Neurosci. (2022) 14:896191. doi: 10.3389/fnagi.2022.896191, PMID: - DOI - PMC - PubMed
    1. Marras C, Beck JC, Bower JH, Roberts E, Ritz B, Ross GW, et al. . Prevalence of Parkinson's disease across North America. NPJ Parkinsons Dis. (2018) 4:21. doi: 10.1038/s41531-018-0058-0 - DOI - PMC - PubMed
    1. Ou Z, Pan J, Tang S, Duan D, Yu D, Nong H, et al. . Global trends in the incidence, prevalence, and years lived with disability of Parkinson's disease in 204 countries/territories from 1990 to 2019. Front Public Health. (2021) 9:776847. doi: 10.3389/fpubh.2021.776847, PMID: - DOI - PMC - PubMed
    1. Collaborators GBDN. Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. (2019) 18:459–80. doi: 10.1016/S1474-4422(18)30499-X - DOI - PMC - PubMed
    1. Pringsheim T, Jette N, Frolkis A, Steeves TD. The prevalence of Parkinson's disease: a systematic review and meta-analysis. Mov Disord. (2014) 29:1583–90. doi: 10.1002/mds.25945 - DOI - PubMed

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Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Key Research and Development Projects of Shaanxi (Grant number 2023-YBSF-331) and “Rapid response” research project of Air Force Military Medical University (Grant number 2023KXKT025).

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