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Bibliometric and visualized analysis of dynamic balance and brain function using web of science and CiteSpace from 1995 to 2022.

作者信息

Liu Mengjiao, He Jian, Liu Dongwei, Hou Meijin, Ma Ye

机构信息

Research Academy of Grand Health, Faculty of Sports Sciences, Ningbo University, Ningbo 315211, China.

School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China.

出版信息

Heliyon. 2024 Jan 8;10(2):e24300. doi: 10.1016/j.heliyon.2024.e24300. eCollection 2024 Jan 30.


DOI:10.1016/j.heliyon.2024.e24300
PMID:38293478
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10824782/
Abstract

PURPOSE: This study aims to explore the dynamic balance of human beings and investigate the relationship between functional structure as well as functional connectivity. Through a comprehensive bibliometric and visual analysis of the research literature from 1995 to 2022, we quantitatively display the development of the dynamic balance and brain structure as well as functional connection. Our objective is to present new trends and frontiers in the study of dynamic balance and brain function through bibliometrics software, providing valuable insights for future research in this domain. METHODS: The literature on dynamic balance, brain structure and functional connectivity between 1995 and 2022 was retrieved from the Web of Science database. We employed CiteSpace software to analyze various aspects, including the year of publication, journal, authors, keywords, institutions, countries, and references. Based on the analysis results, a co-reference map was generated to visually observe research hotspots and knowledge structures. RESULTS: A total of 1533 records were retrieved during the survey period (1995-2022), with a gradually increase in the number of annual publications. Notably, the data suggests a notable increase in publications between 2020 and 2021. The number of publications increased by 20 % from 2020 to 2021. The journal " (PNAS)" emerged as the most prolific journal. Among the cited authors, Deco and Gustavo ranked at the top. Key research terms in this field include "neural network", "functional connectivity", "dynamic", "model" and "brain". Particularly, the keyword "neural network" exhibited the strongest growth. The analysis of keywords cluster revealed the top 10 clusters of research themes. Oxford University stood out as the most productive institution, while the United States held the greatest influence with the highest number of publications and centrality. The reference cluster analysis further demonstrated the top 10 clusters in the literature. CONCLUSION: Through the use of CiteSpace software, this study performed a comprehensive bibliometric and visual analysis of the Web of Science research literature on human dynamic balance and brain structural as well as functional connectivity over the past few decades. This may help researchers identify new perspectives on potential collaborators as well as collaborating institutions, hot topics, and research frontiers in the research field. The results provided an intuitive displayed overview of research trends, hotspots and frontiers in this field, facilitating a general understanding of its progression. Through unremitting efforts, it provides valuable guidance and reference for future research work.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/7e84353825c3/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/d2f28d0c5d9e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/b9912286c3b4/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/9851968670a5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/a2fd80aa28d8/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/6fcf5df77e2f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/3778121026f1/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/dde0e619e1e0/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/dc7bac721776/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/7e84353825c3/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/d2f28d0c5d9e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/b9912286c3b4/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/9851968670a5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/a2fd80aa28d8/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/6fcf5df77e2f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/3778121026f1/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/dde0e619e1e0/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/dc7bac721776/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc0/10824782/7e84353825c3/gr9.jpg

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[3]
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[4]
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本文引用的文献

[1]
Clinical and MRI features of gait and balance disorders in neurodegenerative diseases.

J Neurol. 2023-3

[2]
Targeting CNS Neural Mechanisms of Gait in Stroke Neurorehabilitation.

Brain Sci. 2022-8-9

[3]
Identification of community structure-based brain states and transitions using functional MRI.

Neuroimage. 2021-12-1

[4]
Effects of a Highly Challenging Balance Training Program on Motor Function and Brain Structure in Parkinson's Disease.

J Parkinsons Dis. 2021

[5]
Action Observation and Motor Imagery Improve Dual Task in Parkinson's Disease: A Clinical/fMRI Study.

Mov Disord. 2021-11

[6]
Galvanic Vestibular Stimulation Improves Subnetwork Interactions in Parkinson's Disease.

J Healthc Eng. 2021

[7]
Neural correlates of standing imagery and execution in Parkinsonian patients: The relevance to striatal dopamine dysfunction.

PLoS One. 2020-10-28

[8]
Tapping into Multi-Faceted Human Behavior and Psychopathology Using fMRI Brain Dynamics.

Trends Neurosci. 2020-9

[9]
The role of node dynamics in shaping emergent functional connectivity patterns in the brain.

Netw Neurosci. 2020-5-1

[10]
Model-Based Evaluation of Closed-Loop Deep Brain Stimulation Controller to Adapt to Dynamic Changes in Reference Signal.

Front Neurosci. 2019-9-10

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