Frontiers in Neuroscience (Aug 2024)

Frontiers and hotspots evolution in mild cognitive impairment: a bibliometric analysis of from 2013 to 2023

  • Chunying He,
  • Chunying He,
  • Xiaohua Hu,
  • Xiaohua Hu,
  • Muren Wang,
  • Muren Wang,
  • Xiaolan Yin,
  • Min Zhan,
  • Yutong Li,
  • Yutong Li,
  • Linjuan Sun,
  • Yida Du,
  • Yida Du,
  • Zhiyan Chen,
  • Zhiyan Chen,
  • Huan Wang,
  • Huan Wang,
  • Haibin Shao,
  • Haibin Shao

DOI
https://doi.org/10.3389/fnins.2024.1352129
Journal volume & issue
Vol. 18

Abstract

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BackgroundMild cognitive impairment is a heterogeneous syndrome. The heterogeneity of the syndrome and the absence of consensus limited the advancement of MCI. The purpose of our research is to create a visual framework of the last decade, highlight the hotspots of current research, and forecast the most fruitful avenues for future MCI research.MethodsWe collected all the MCI-related literature published between 1 January 2013, and 24 April 2023, on the “Web of Science.” The visual graph was created by the CiteSpace and VOSviewer. The current research hotspots and future research directions are summarized through the analysis of keywords and co-cited literature.ResultsThere are 6,075 articles were included in the final analysis. The number of publications shows an upward trend, especially after 2018. The United States and the University of California System are the most prolific countries and institutions, respectively. Petersen is the author who ranks first in terms of publication volume and influence. Journal of Alzheimer’s Disease was the most productive journal. “neuroimaging,” “fluid markers,” and “predictors” are the focus of current research, and “machine learning,” “electroencephalogram,” “deep learning,” and “blood biomarkers” are potential research directions in the future.ConclusionThe cognition of MCI has been continuously evolved and renewed by multiple countries’ joint efforts in the past decade. Hotspots for current research are on diagnostic biomarkers, such as fluid markers, neuroimaging, and so on. Future hotspots might be focused on the best prognostic and diagnostic models generated by machine learning and large-scale screening tools such as EEG and blood biomarkers.

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