Frontiers in Neuroscience (Apr 2022)

An Activation Likelihood Estimation Meta-Analysis of Specific Functional Alterations in Dorsal Attention Network in Mild Cognitive Impairment

  • Huimin Wu,
  • Yu Song,
  • Shanshan Chen,
  • Honglin Ge,
  • Honglin Ge,
  • Zheng Yan,
  • Zheng Yan,
  • Wenzhang Qi,
  • Qianqian Yuan,
  • Xuhong Liang,
  • Xingjian Lin,
  • Jiu Chen,
  • Jiu Chen

DOI
https://doi.org/10.3389/fnins.2022.876568
Journal volume & issue
Vol. 16

Abstract

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BackgroundMild cognitive impairment (MCI) is known as the prodromal stage of the Alzheimer’s disease (AD) spectrum. The recent studies have advised that functional alterations in the dorsal attention network (DAN) could be used as a sensitive marker to forecast the progression from MCI to AD. Therefore, our aim was to investigate specific functional alterations in the DAN in MCI.MethodsWe systematically searched PubMed, EMBASE, and Web of Science and chose relevant articles based on the three functional indicators, the amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and functional connectivity (FC) in the DAN in MCI. Based on the activation likelihood estimation, we accomplished the aggregation of specific coordinates and the analysis of functional alterations.ResultsA total of 38 studies were involved in our meta-analysis. By summing up included articles, we acquired specific brain region alterations in the DAN mainly in the superior temporal gyrus (STG), middle temporal gyrus (MTG), superior frontal gyrus (SFG), middle frontal gyrus (MFG), inferior frontal gyrus (IFG), precentral gyrus (preCG), inferior parietal lobule (IPL), superior parietal lobule (SPL). At the same time, the key area that shows anti-interaction with default mode network included the IPL in the DAN. The one showing interactions with executive control network was mainly in the MFG. Finally, the frontoparietal network showed a close connection with DAN especially in the IPL and IFG.ConclusionThis study demonstrated abnormal functional markers in the DAN and its interactions with other networks in MCI group, respectively. It provided the foundation for future targeted interventions in preventing the progression of AD.Systematic Review Registration[https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD42021287958].

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