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      Knowledge mapping of trends and hotspots in the field of exercise and cognition research over the past decade

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          Abstract

          Exercise elicits a wide range of physiological responses in mammalian tissues that enhance a broad range of functions, particularly in improving cognitive performance. However, the field lacks a comprehensive bibliometric analysis that clarifies its knowledge structure and research hotspots. This study aims to address this gap and map the research landscape regarding the role of exercise in cognitive function enhancement. Firstly, the frequencies and co-occurrence of keywords were analysed to identify six main clusters: aging, cognitive impairment, rehabilitation, obesity, fatigue, and hippocampus. Secondly, reference timeline co-citation analysis revealed that hippocampus and aging were the major bursts with high intensity and long attention span while children had recently emerged as a topical subject. Finally, the evolution of themes from 2012 to 2022 was analysed, and found that older adults had been the leading research theme for exercise affecting cognition. Childhood obesity was an emerging theme that attracted increasing research attention in recent years while the hippocampus research theme expanded rapidly during the decade but remained a niche topic with less relevance to others. This research identified and summarised research priorities and evolutionary trends in exercise to improve cognition by constructing knowledge networks through visual analysis. It provides researchers with a comprehensive insight into the current state of the field to facilitate further research.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s40520-023-02661-y.

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          "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

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            Software survey: VOSviewer, a computer program for bibliometric mapping

            We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer’s functionality for displaying bibliometric maps is provided. In the second part, the technical implementation of specific parts of the program is discussed. Finally, in the third part, VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.
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              bibliometrix : An R-tool for comprehensive science mapping analysis

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                Author and article information

                Contributors
                luoyaxi@hospital.cqmu.edu.cn
                dryaoxq@cqmu.edu.cn
                Journal
                Aging Clin Exp Res
                Aging Clin Exp Res
                Aging Clinical and Experimental Research
                Springer International Publishing (Cham )
                1594-0667
                1720-8319
                3 February 2024
                3 February 2024
                2024
                : 36
                : 1
                : 19
                Affiliations
                [1 ]Department of Rehabilitation, The Second Affiliated Hospital of Chongqing Medical University, ( https://ror.org/00r67fz39) Chongqing, China
                [2 ]GRID grid.453222.0, ISNI 0000 0004 1757 9784, Chongqing Municipality Clinical Research Center for Geriatric Medicine, ; Chongqing, China
                Author information
                http://orcid.org/0000-0001-7198-8720
                http://orcid.org/0000-0002-0292-2792
                Article
                2661
                10.1007/s40520-023-02661-y
                10838253
                38308660
                c6a205e3-ce88-4503-a506-c697d275a41b
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 24 July 2023
                : 9 November 2023
                Funding
                Funded by: the National Natural Science Foundation of China
                Award ID: Grant No. 81971033
                Award Recipient :
                Funded by: the Kuanren Talents Program
                Award ID: Grant No. kryc-lj-2105
                Award Recipient :
                Categories
                Review
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                © Springer Nature Switzerland AG 2024

                bibliometric analysis,physical exercise,cognition
                bibliometric analysis, physical exercise, cognition

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