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.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Cognitive function is an essential human physiological function that encompasses memory, language, visual-spatial abilities, executive functions, computational skills, and comprehension judgments [1]. Cognitive impairment may occur at the full range of ages for different reasons at different stages of life. In children, the reasons for cognitive impairment include premature birth [2], adverse childhood experiences [3], etc. Obesity was also an essential factor for cognitive impairment in children. With the continuous progression of economic and social development, obesity-induced cognitive impairment in children has attracted increased attention from the public [4]. Among older adults, Alzheimer’s disease is the most common subtype of dementia which causes cognitive impairment in patients [5]. According to the latest public statement from the World Health Organization, more than 55 million people worldwide suffer from dementia and there are nearly 10 million new cases each year. The global economic cost of dementia was 1.3 trillion dollars in 2019 and about half of that cost was related to the care provided by informal family caregivers, who spent an average of five hours involved in care and supervision daily, placing a huge financial and care burden on families and society [6].
Exercise can trigger a profound physiological response in many organs, and it is widely accepted that it can enhance human health [7, 8]. Recent studies have focused on the impact of exercise on cognitive function and found that exercise was particularly beneficial for cognitive functions that rely on the hippocampus [9]. The main types of exercise are aerobic and resistance exercise, with a few researchers exploring specialised exercises like Tai chi and Qigong [10]. Aerobic exercise has the advantage of improving cardiovascular health by increasing the maximum oxygen consumption and increasing cardiovascular fitness while resistance exercise focuses on muscle mass and strength. Interestingly, both aerobic and resistance exercises have a beneficial impact on the improvement of cognitive function [11, 12]. The modality of exercise affects specific types of cognition with resistance exercise having a significant interactive effect on executive function, memory, and attention [13], while aerobic exercise mainly improves working memory [14].
In the past decade, over 30,000 publications have explored the correlation between exercise and cognition [15]. However, the kinds of literature are highly heterogeneous and cover a wide range of areas. To better understand the current hotspots and interconnections across the field, scholars have developed a “research weaving” that uses bibliometrics and knowledge mapping for visual analysis [16]. This approach allows quantitative analysis of large-scale, highly heterogeneous literature and provides an objective, visual display of past academic research output, thus reducing bias in evaluating scientific publications and helping researchers accurately capture research trends and hot topics in the field. It has been applied to various fields, including mental diseases [17], cardiovascular diseases [18] and degenerative diseases [19].
An increased emphasis has been placed on the study of cognitive enhancement through physical activity, with a dramatic increase in the relevant literature over the last decade. An objective quantitative study of the current status and trends of exercise on cognition is lacking with respect to large-scale scientific findings. Thus, the bibliometric analysis was conducted using data from the Web of Science Core Collection (WoSCC) to visualise the current state and trends of research in this area. With the analysis of the literature from 2012 to 2022, the current status of research in the field was summarised, hotspots and themes were uncovered, and future trends were predicted, ultimately addressing research gaps and plotting research landscapes on the role of exercise in enhancing cognitive functions.
Methods
Searching strategy and data collection
Literature was searched on 28 March 2023 in the WoSCC database, one of the most impactful scientific databases with resources widely used for bibliometric analysis in the health/medical field [20]. The process of the literature search strategy was as follows: (1) the search terms listed in Supplemental Fig. 1 were used; (2) publication dates were from 1 January 2012 to 31 December 2022; literature from 2023 was excluded due to ongoing publications; (3) records available in WoSCC; (4) article or review type of publication, excluded other types of publications, included conferences, comment and editorials. All records were downloaded in “plain text” format to avoid continuous updating and changes. Data were collected on publications and included title, abstract, keywords, authors, institutions, countries and references.
Data analysis and mapping
Citespace (6.1.R6), VOSViewer (1.6.19, Leiden University, Netherlands), and the bibliometrics package (3.2.1) in R (4.2.3, www.r-project.org/) were used for the analysis.
VOSViewer, based on a bibliometric analysis software developed by Van Eck and Waltman, extracts key information from numerous publications and is commonly used to construct co-authorship, co-citation and co-occurrence networks to visualise vast knowledge graphs of the literature [21]. The primary analyses in this study included co-authorship analysis of countries/regions, institutions, and authors as well as co-occurrence analysis of author keywords, and calculated the widely used quantitative indices of productivity, the H-index [22] and the G-index [23]. The co-authorship analysis was used to reflect the collaboration and contribution of countries/regions, institutions, and authors in the retrieved literature, and such collaboration is considered to exist when different authors, institutions, or countries/regions appear in a publication at the same time [24]. The thickness and length of the inter-nodal connections indicate the strength and correlation of the two-nodal connections. Co-occurrence analysis based on author keywords can identify densely populated keywords and detect research hotspots. To reduce the effect of synonyms on the results by merging them. In the visual map, the area of the nodes is positively proportional to the frequency of keyword occurrences, and the colour of the nodes is determined by the class of the nodes in the cluster analysis.
Reference co-citation analysis can discover the knowledge base of the field and its evolutionary process. CiteSpace is a bibliometric analysis and visualisation software developed by Professor Chao-Mei Chen [25]. In this study, CiteSpace presented the co-citation relationships of references and clusters in a timeline with parameters set to time slice (2012–2022), year per slice (1), node type (cited references), selection criteria (top N = 50) and pruning (Pathfinder). Modularity and Silhouette are two indexes used to evaluate the effectiveness of reference co-citation clustering. The network community structure obtained is indicated to be significant when Q > 0.3. The clustering results possess high reliability when the Silhouette is 0.7. Additionally, co-citation burst detection can reflect the evolution of the research topic over time [26].
The Bibliometrics package, by Aria M and Cuccurullo C, was developed to allow for a comprehensive scientific mapping analysis [27]. It was used in this research to analyse thematic evolution and thematic maps to reflect thematic evolution. Thematic evolution was represented by Sankey diagrams to indicate the evolution of a theme over different time slices, and thematic maps were constructed with the density index as the longitudinal coordinate and the centrality index as the latitude coordinate. Density indicates the strength of internal links between a keyword of a theme and centrality is the strength of links between a theme and other themes externally [28]. These maps were grouped into four quadrants: (I) Motor themes represent significant and well-developed themes; (II) Niche themes represent highly developed themes but are less connected to other themes; (III) Emerging or Declining themes represent possible emerging or declining themes with low internal and external connections; (IV) Basic themes are to be considered the foundation of the discipline and cross-cutting themes. Tracking between time slices was determined to identify emerging or declining trends in themes [27]. The software was also used to create a global distribution network of cognitive publications on the impact of physical activity [29].
All raw data used in the study were obtained from public databases and ethical approval was waived.
Results
Distribution of publications over time
According to our search strategy, 30,345 publications from 2012 to 2022 were eventually retrieved from the WoSCC, including 24,993 articles (82.4%) and 5352 reviews (17.6%). The number of publications increased annually in general, from 1411 in 2012 to 4355 in 2022, showing a growth of 208.6%.
Hotspots of the keywords
Initially, the keywords used in the literature in the last decade were analysed. In the keyword frequency statistics, due to the fact that exercise and cognition were inevitably the two most frequent keywords as search terms, high-frequency synonyms were removed from this analysis to avoid their impact on statistics and result interpretation. In the meanwhile, these synonyms were combined in the keyword clustering to make the visualisation more prominent and easier to interpret by eliminating clustering circles and text labels from both exercise and cognition search terms results presentation. Based on these data, changes in high-frequency keywords over time were calculated (Fig. 1a). Aging and cognitive impairment were found to be the two most frequent keywords associated with exercise and cognition searches, surpassing all other keywords significantly. Supplementary Table 1 listed the top 20 frequently occurring keywords. In addition to ‘exercise’ and ‘cognition’, rehabilitation, as well as sedentary behaviour, emerged as primary keywords.
Trends and clusters of high-frequency keywords in the field of exercise and cognition research. (a) Changes of high-frequency keywords of publications in the field of exercise and cognition research over the last decades; (b) Keyword co-occurrence analysis of exercise and cognition, node size is proportional to the frequency of keyword occurrences, node colours are determined by the category of the node in the cluster analysis (colour figure online)
The keyword co-occurrence analysis is shown in Fig. 1b. The selected keywords with the top 100 occurrences were clustered and grouped into six clusters. The blue cluster focused on fatigue-related studies with possible reasons including sleep deprivation, and dehydration, which could affect reaction time, mood and brain health. The green group was associated with obesity with factors related to sedentary behaviour like screen time, and lifestyle choices such as smoking or dieting/nutrition, being studied mainly in children and youth subjects. Interventions for weight loss in this context encompassed strategies like bariatric surgery and enhancing walking ability. The red cluster showed rehabilitation research focused on the quality of life, depression and cognitive interventions, with the main rehabilitation modality being physiotherapy and emerging technologies such as virtual reality were used to some extent in this area of research. Aging research was shown in the teal cluster where sarcopenia, frailty and falls were explored, all of which can be ameliorated through exercise and enhancement of gait balance. Finally, the yellow cluster highlighted hippocampus research focused on mechanisms involved in inflammation, neuroplasticity, oxidative stress, insulin, amyloid and tau.
Trends of the keywords
Based on the results of the keyword frequency variation and the analysis of its clustering, the evolution analysis of keyword-related themes was conducted. Thematic evolution and maps were graphed to visualize trends in these themes between 2012–2015 and 2016–2022, using Sankey diagrams (Fig. 2a) and the maps based on centrality and density (Fig. 2b/c). The diversion of research thematic terms over time was visualised by Sankey diagrams. Between 2012 and 2015, there were seven thematic terms, which were aging, performance, hippocampus, dementia, rehabilitation, obesity, and depression. In contrast to the previous years, in 2016–2022, the emerging theme word was quality of life, aggregated by rehabilitation and depression, accompanied by the disappearance of the theme words rehabilitation and performance, with all of the research on the performance theme word merging into the depression theme. Apart from depression, dementia had the highest number of shunts to obesity, dementia, and aging. The hippocampus remained unchanged across two time periods. Thematic maps present a more specific and clear view of thematic centrality and density variations. The finding indicated that the obesity and children theme became more prominent over time, moving from a low-density quadrant to a more centrality and density motor theme. The older adult group remained to be an important research theme with increasing centrality and density over the decade. Dementia and cognitive impairment have also emerged as vital themes related to aging populations, both of which were developed from the previous basic theme. Due to the high centrality and density of the three themes in this node, researchers could gain insights into the direction of their research themes from it. Interestingly, hippocampus and brain-derived neurotrophic factor (BDNF) started to emerge in this research field during 2011–2015, but the lack of centrality and density suggested that it had not yet received widespread attention, after seven years of development, both themes increased in density to the highest level but remained niche themes with less relevance to other themes.
Thematic evolution and maps in the field of exercise and cognition research. (a) The thematic evolution of publications in exercise and cognition research over the last decade; (b/c) Thematic maps across the 2012–2015 and 2016–2022 periods in the exercise and cognition research. Thematic maps were divided into four quadrants: I Motor Themes with high density and centrality. II Niche Themes with high density but low centrality. III Emerging or Declining Themes with low density and centrality. IV Basic Themes with low density but high centrality
Bursts of the cited references
References to publications are the original repository for obtaining a knowledge network map of publications, and a reference co-citation analysis was conducted and presented as a timeline. Figure 3a shows the eleven main clusters from the reference co-citation analysis, with Q = 0.8794, indicating a significant cluster structure, and S = 0.975, reflecting a high level of reliability in the clustering outcomes. Significant clustering in co-citation links for hippocampus references occurred in 2011, 2015, and 2018, indicating important changes in foundational knowledge. Children emerged as the most recent reference co-citation cluster starting from 2015 until 2020. Apart from the hippocampus and children, aging was another long-lasting cluster with a significant amount of co-citation.
The burst of cited references in the field of exercise and cognition research. (a) The timeline co-citation analysis of references in exercise and cognition research, with node size proportional to the number of co-references in the literature and links between the literature, is expressed as link density. (b) Top 25 references with strong citation bursts in exercise and cognition reference, with red bars indicating the time interval between the start and end of reference co-citation bursts (colour figure online)
Co-citation bursts reflected the time interval between rapid changes in the intensity of references being cited, and the top 25 references with strong citation bursts were ranked according to the onset of the burst (Fig. 3b, Supplementary Table 2). The major types of publications were clinical studies (6) and reviews (12). The reference that ranked first in terms of cited burst intensity was “Exercise training increases the size of the hippocampus and improves memory” by Kirk I. Erickson’s team. This publication demonstrated that aerobic exercise training effectively reversed hippocampal volume loss in older adults and modulated memory function, providing solid evidence that exercise does improve cognitive function [30]. Among the top 25 references with strong citation burst, 6 remain widely cited until 2022. These references were mainly related to academic performance in children, dementia management, brain outcomes and exercise guidelines.
Attribution and collaboration of countries/regions
A total of 158 countries/regions were actively contributing to the field. Information on publications in this area was compiled and analysed by country/region (Supplementary Fig. 2A, Supplementary Table 3). The USA (8804 publications) had emerged as the most productive country, while Australia led with the highest number of publications per million people and per trillion gross domestic product(GDP), at 104.83 and 1734.43 respectively. Co-authorship between countries/regions was depicted in Supplementary Fig. 2B, where five coloured clusters represented collaboration patterns, with link thickness indicating total link strength (TLS). The USA topped the list with a TLS of 5548, followed by England (TLS = 4679) and Australia (TLS = 3141). The red cluster revolved around the USA, Canada dominated the blue cluster, while three other clusters comprised mainly European countries centred on England, Spain and Germany. The visual map presented in Supplementary Fig. 2G provided an intuitive representation of cooperation between countries/regions.
Attribution and collaboration of authors and institutions
Details about the top 10 authors with the most publications were collated in Table 1. Supplementary Fig. 2C displayed co-authorship between scholars, which was classified into 39 clusters. Charles H. Hillman had the highest number of articles, as well as the highest H-index and G-index, and TLS score. Meanwhile, Davy Vancampfort was the author with the highest average number of citations. Supplementary Table 4 listed the top 10 most productive institutions in this research area. The University of Illinois held the highest number of publications and the University of British Columbia had the highest citation rate and average citation per publication. Supplementary Fig. 2D displayed co-authorship relationships among these institutions, which had been grouped into nine clusters. Karolinska Institutet achieved the highest TLS (TLS = 1382) among all institutions.
Distribution of disciplines and journals
The top 10 disciplines in publications were identified based on WoSCC categories, as shown in Supplementary Fig. 2E, Supplementary Table 5. The three most prominent disciplines were neuroscience, sports science and public environmental occupational health, accounting for approximately 36.49% of the total publications.
Supplementary Fig. 2F and Supplementary Table 6 illustrated the cumulative pattern of growth in annual publications and information on the top 10 most productive journals. The International Journal of Environmental Studies and Public Health published the highest number of papers (1130). The further analysis shown in Table 2 revealed that the Mini-Mental State Scale designed by MF Folstein et al. and published in J Psychiatr Res in 1975 was cited most frequently due to its rapid detection, accessibility, and acceptability [31]. Meanwhile, the highest average annual citation was Kirk I Erickson et al. who published a randomised controlled trial (RCT) in Proc Natl Acad Sci USA in 2011 and reported the effects of exercise on improving memory [30].
Discussion
In this study, a knowledge mapping and bibliometric analysis of research on the effects of exercise on cognition from 2012 to 2022 was conducted. The number of global publications in this area has increased rapidly over the past decade. In our study, a large number of highly cited or co-cited publications focused on and summarised the role of physical activity in improving cognitive function, indicating this was a long-standing and widespread concern. The hippocampus and aging were the hot spots in the field with high intensity and duration. Additionally, children have become an increasingly important topic in recent years.
The hippocampus is a crucial structure that regulates various cognitive functions, such as memory, learning, and spatial navigation, which are influenced by adult neurogenesis [32], long-term potentiation [33] and pattern separation [34]. A wealth of research suggests that exercise significantly influences hippocampal structure and function. In an RCT that included 86 women aged 70–80 years, aerobic training was shown to significantly increased hippocampal volume in older women with suspected mild cognitive impairment, and increased hippocampal volume was independently associated with reduced verbal memory and learning performance [35]. In recent years, increasing numbers of researchers have delved into this hotspot and found that the mechanisms included: secretion of growth factors such as BDNF [36, 37], neuroplasticity enhancement [38], improved brain oxygenation and nutrient supply [39], and reduced inflammation to protect neurons [40]. Recent research has shown that different forms of exercise affect hippocampal function differently. For example, aerobic exercise improved hippocampal volume and spatial memory [41, 42], while resistance exercise enhanced hippocampal neuroplasticity and learning ability [43]. Further research is required to determine the optimal type of exercise or combination of them for achieving maximum benefits [44]. Other factors such as duration, intensity, frequency [45], gender [46], age, and baseline cognitive function [35] also influenced the effects of exercise on the hippocampus’s function. Therefore, more research should be conducted to identify personalised exercise intervention programs that are applicable to different populations to maximise hippocampal function improvement [47, 48].
Aging was another topic identified in this study that received a long attention span and a high co-citation rate. Aging processes were often accompanied by an increase in frailty [49], falls [50], and sarcopenia [51], which were risk factors for head injury or stroke and can reduce the ability of older people to participate in physical activity and may lead to a decline in cognitive function [52,53,54]. Nevertheless, exercise had been shown to positively impact the aging process by combating typical signs such as frailty, balance issues, and sarcopenia [55]. Exercise, especially multi-component exercise, can prevent, delay and reverse frailty, and improve the physical fitness of pre-frail/frail older adults [56, 57]. Regular physical activity improved physical function and balanced performance, reducing the risk of falls among older individuals [58, 59]. Proper strength training can help combat sarcopenia by preventing muscle loss and increasing both muscle mass and strength [60]. Additionally, regular exercise has been shown to improve cognitive function in older people [61]. In conclusion, frailty, falls and muscle loss during aging may negatively affect cognitive function; however, exercise can mitigate these effects and improve cognitive function. Therefore, it is recommended that older adults engage in regular exercise to improve frailty, reduce falls and muscle loss, enhance physical and cognitive function, and ultimately achieve the goal of delaying aging [8, 14].
Children are in a crucial stage of cognitive development, various drugs [62], innate diseases [63], and obesity [4] may affect their cognitive development and cause cognitive disorders. Childhood obesity is an emerging research hotspot that has become a major public health issue with increasing prevalence worldwide, capable of causing cognitive impairment and mental health problems in children [64, 65]. Studies have shown that obese children tended to have poorer cognitive function than their normal-weight peers, particularly in memory, attention and learning areas [66]. This may be due to chronic inflammation, oxidative stress and insulin resistance caused by obesity [67]. Regular exercise had been shown to have a positive impact on cognitive function in children by increasing blood flow and oxygen supply to the brain. In particular, modified executive function by aerobic exercise played an essential role in complex behaviour with the potential to contribute to successful academic and occupational achievement as well as social interaction [68]. A study of 250 Spanish schoolchildren found that their academic performance was associated with their physical activity [69]. Moreover, exercise also improves mental health in children, including reduced depressive symptoms [70]. Encouraging regular physical activity and promoting healthy lifestyles may have significant benefits for both physical and cognitive health in children. In summary, physical activity had a significant impact on obese children’s cognitive development and academic performance. Further research is needed to explore the underlying mechanisms of this relationship and to develop effective interventions that promote their physical health, improve cognitive function in obese children, and facilitate their academic performance.
In addition to the keywords discussed above, rehabilitation and fatigue were the main clusters for the keywords in this review. Fatigue was reported as a prevalent complaint in older adults and was associated with their negative functional outcomes [71], with perceived fatigue being more severe in patients with mild cognitive impairment than in normal individuals [72]. Whether it is possible to improve fatigue, and hence cognitive performance, through exercise is lacking in high-quality article reports, and more researches are needed to explore this. Rehabilitation is an important approach to cognitive intervention and improving quality of life, with exercise being one of many rehabilitation treatments [73]. In the future, using various rehabilitation tools, including exercise, to improve the quality of life for people with cognitive impairment is one of the concerns that deserves the attention of researchers.
Finally, the contributions and collaborations of countries/regions, authors and institutions were analysed, as well as the distribution of publications across disciplines and journals. In the last decade, the USA, England and China have been the main producing countries/regions in this field. Additionally, the institutions with the largest number of publications and the highest quality of literature were mainly located in Europe and the United States. The reasons for this distribution were closely related to the aging process, with the elderly being a high-incidence cohort of cognitive impairment [74]. Only with the dedication of more researchers can this therapeutic challenge be solved at an early date. Research related to exercise and cognition was a multidisciplinary field. Our results found that the field was mainly focused on neuroscience, sport science and public environmental occupational health, accounting for 36.49% of the literature in the field.
A limitation of this study is that the WoSCC database was the only data source for bibliometric searches. Although WoSCC is currently the primary data source for bibliometric analysis, the retrieved data may be incomplete due to its consistency and standardised format of bibliographic records and broad coverage [75]. The current difficulty in achieving effective integration of indexed records of large-scale publications across databases remains unresolved in bibliometric analysis studies [76, 77]. Suitable tools are needed in the future to address this limitation to reduce selection bias.
Conclusion
In conclusion, our comprehensive review of 30,345 publications in the field of exercise and cognition highlights the emerging research areas of the hippocampus and aging, along with the growing focus on studying children. Multiple studies have consistently demonstrated the beneficial effects of exercise on hippocampal function and cognitive abilities. However, despite these promising findings, many cognitive disorders still pose significant challenges. Therefore, future research should prioritize the investigation of the precise mechanisms underlying cognitive enhancement through exercise, aiming to optimize cognitive performance.
Data availability
All raw data was obtained from the Web of Science Core Collection. Data are available upon reasonable request.
References
Voss MW, Soto C, Yoo S et al (2019) Exercise and hippocampal memory systems. Trends Cogn Sci 23:318–333. https://doi.org/10.1016/j.tics.2019.01.006
Rapuc S, Pierrat V, Marchand-Martin L et al (2023) The interrelatedness of cognitive abilities in very preterm and full-term born children at 5.5 years of age: a psychometric network analysis approach. J Child Psychol Psychiatry. https://doi.org/10.1111/jcpp.13816
Ren Z, Luo Y, Zheng X et al (2023) Adverse childhood experiences from family and society contribute to increased risk of depressive symptoms and cognitive impairment: a cross-sectional study. Gen Psychiatr 36:e101039. https://doi.org/10.1136/gpsych-2023-101039
Lister NB, Baur LA, Felix JF et al (2023) Child and adolescent obesity. Nat Rev Dis Primers 9. https://doi.org/10.1038/s41572-023-00435-4
Jiao SS, Yao XQ, Liu YH et al (2015) Edaravone alleviates Alzheimer’s disease-type pathologies and cognitive deficits. Proc Natl Acad Sci USA 112:5225–5230. https://doi.org/10.1073/pnas.1422998112
WHO (2021) Global status report on the public health response to dementia: executive summary. World Health Organizatio official website. https://www.alzint.org/resource/world-alzheimer-report-2021/. Accessed 18 May 2023
Bricca A, Harris LK, Jager M et al (2020) Benefits and harms of exercise therapy in people with multimorbidity: a systematic review and meta-analysis of randomised controlled trials. Ageing Res Rev 63:101166. https://doi.org/10.1016/j.arr.2020.101166
Lebowitz A, Nemoto K, Yamada N et al (2018) Exercise habit could modulate cognitive benefits from physical and cognitive intervention. Psychiatry Clin Neurosci 72:189–190. https://doi.org/10.1111/pcn.12635
Choi SH, Bylykbashi E, Chatila ZK et al (2018) Combined adult neurogenesis and BDNF mimic exercise effects on cognition in an Alzheimer’s mouse model. Science 361. https://doi.org/10.1126/science.aan8821
Qi D, Wong NML, Shao R et al (2021) Qigong exercise enhances cognitive functions in the elderly via an interleukin-6-hippocampus pathway: a randomized active-controlled trial. Brain Behav Immun 95:381–390. https://doi.org/10.1016/j.bbi.2021.04.011
Sobol NA, Hoffmann K, Frederiksen KS et al (2016) Effect of aerobic exercise on physical performance in patients with Alzheimer’s disease. Alzheimers Dement 12:1207–1215. https://doi.org/10.1016/j.jalz.2016.05.004
Hong SG, Kim JH, Jun TW (2018) Effects of 12-week resistance exercise on electroencephalogram patterns and cognitive function in the elderly with mild cognitive impairment: a randomized controlled trial. Clin J Sport Med 28:500–508. https://doi.org/10.1097/JSM.0000000000000476
Fiatarone Singh MA, Gates N, Saigal N et al (2014) The Study of Mental and Resistance Training (SMART) study-resistance training and/or cognitive training in mild cognitive impairment: a randomized, double-blind, double-sham controlled trial. J Am Med Dir Assoc 15:873–880. https://doi.org/10.1016/j.jamda.2014.09.010
Northey JM, Cherbuin N, Pumpa KL et al (2018) Exercise interventions for cognitive function in adults older than 50: a systematic review with meta-analysis. Br J Sports Med 52:154–160. https://doi.org/10.1136/bjsports-2016-096587
Horowitz AM, Fan X, Bieri G et al (2020) Blood factors transfer beneficial effects of exercise on neurogenesis and cognition to the aged brain. Science 369:167–173. https://doi.org/10.1126/science.aaw2622
Nakagawa S, Samarasinghe G, Haddaway NR et al (2019) Research weaving: visualizing the future of research synthesis. Trends Ecol Evol 34:224–238. https://doi.org/10.1016/j.tree.2018.11.007
Grover S, Gupta BM, Dhawan SM (2021) Research on bipolar disorder from India: a bibliometric analysis of papers published during 2000–19. Asian J Psychiatr 55:ARTN102532. https://doi.org/10.1016/j.ajp.2020.102532
Wang H, Shi J, Shi S et al (2022) Bibliometric analysis on the progress of chronic heart failure. Curr Probl Cardiol 47:101213. https://doi.org/10.1016/j.cpcardiol.2022.101213
Li K, Li A, Mei YY et al (2023) Trace elements and Alzheimer dementia in population-based studies: a bibliometric and meta-analysis. Environ Pollut 318:ARTN120782. https://doi.org/10.1016/j.envpol.2022.120782
Wang L, Chen Y, Shen W et al (2023) A bibliometric analysis of cardioembolic stroke from 2012 to 2022. Curr Probl Cardiol 48:101537. https://doi.org/10.1016/j.cpcardiol.2022.101537
van Eck NJ, Waltman L (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84:523–538. https://doi.org/10.1007/s11192-009-0146-3
Hirsch JE (2007) Does the H index have predictive power? Proc Natl Acad Sci USA 104:19193–19198. https://doi.org/10.1073/pnas.0707962104
Egghe L (2013) Theory and practise of the g-index. Scientometrics 69:131–152. https://doi.org/10.1007/s11192-006-0144-7
Newman ME (2004) Coauthorship networks and patterns of scientific collaboration. Proc Natl Acad Sci USA 101:5200–5205. https://doi.org/10.1073/pnas.0307545100
Chen CM, Song M (2019) Visualizing a field of research: a methodology of systematic scientometric reviews. PLoS One 14:ARTN e0223994. https://doi.org/10.1371/journal.pone.0223994
Chen Y, Chen CM, Liu ZY, Hu ZG, Wang XW (2015) The methodology function of CiteSpace mapping knowledge domains. Stud Sci Sci 33:242–253. https://doi.org/10.16192/j.cnki.1003-2053.2015.02.009
Aria M, Cuccurullo C (2017) bibliometrix: an R-tool for comprehensive science mapping analysis. J Informet 11:959–975. https://doi.org/10.1016/j.joi.2017.08.007
Cobo MJ, López-Herrera AG, Herrera-Viedma E et al (2011) An approach for detecting, quantifying, and visualizing the evolution of a research field: a practical application to the Fuzzy Sets Theory field. J Informet 5:146–166. https://doi.org/10.1016/j.joi.2010.10.002
Newman MEJ (2001) Scientific collaboration networks. I. Network construction and fundamental results. Phys Rev E 64. https://doi.org/10.1103/PhysRevE.64.016131
Erickson KI, Voss MW, Prakash RS et al (2011) Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci USA 108:3017–3022. https://doi.org/10.1073/pnas.1015950108
Folstein MF, Folstein SE, McHugh PR (1975) “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12:189–198. https://doi.org/10.1016/0022-3956(75)90026-6
Boldrini M, Fulmore CA, Tartt AN et al (2018) Human hippocampal neurogenesis persists throughout aging. Cell Stem Cell 22:e585. https://doi.org/10.1016/j.stem.2018.03.015
Fukaya R, Hirai H, Sakamoto H et al (2023) Increased vesicle fusion competence underlies long-term potentiation at hippocampal mossy fiber synapses. Sci Adv 9:eadd3616. https://doi.org/10.1126/sciadv.add3616
Rolls ET (2021) On pattern separation in the primate, including human, hippocampus. Trends Cogn Sci 25:920–922. https://doi.org/10.1016/j.tics.2021.07.004
ten Brinke LF, Bolandzadeh N, Nagamatsu LS et al (2015) Aerobic exercise increases hippocampal volume in older women with probable mild cognitive impairment: a 6-month randomised controlled trial. Br J Sports Med 49:248–254. https://doi.org/10.1136/bjsports-2013-093184
Wrann CD, White JP, Salogiannnis J et al (2013) Exercise induces hippocampal BDNF through a PGC-1alpha/FNDC5 pathway. Cell Metab 18:649–659. https://doi.org/10.1016/j.cmet.2013.09.008
Maass A, Duzel S, Brigadski T et al (2016) Relationships of peripheral IGF-1, VEGF and BDNF levels to exercise-related changes in memory, hippocampal perfusion and volumes in older adults. Neuroimage 131:142–154. https://doi.org/10.1016/j.neuroimage.2015.10.084
Lourenco MV, Frozza RL, de Freitas GB et al (2019) Exercise-linked FNDC5/irisin rescues synaptic plasticity and memory defects in Alzheimer’s models. Nat Med 25:165–175. https://doi.org/10.1038/s41591-018-0275-4
Maass A, Duzel S, Goerke M et al (2015) Vascular hippocampal plasticity after aerobic exercise in older adults. Mol Psychiatry 20:585–593. https://doi.org/10.1038/mp.2014.114
De Miguel Z, Khoury N, Betley MJ et al (2021) Exercise plasma boosts memory and dampens brain inflammation via clusterin. Nature 600:494–499. https://doi.org/10.1038/s41586-021-04183-x
Frodl T, Strehl K, Carballedo A et al (2020) Aerobic exercise increases hippocampal subfield volumes in younger adults and prevents volume decline in the elderly. Brain Imaging Behav 14:1577–1587. https://doi.org/10.1007/s11682-019-00088-6
Moon HY, Becke A, Berron D et al (2016) Running-induced systemic cathepsin B secretion is associated with memory function. Cell Metab 24:332–340. https://doi.org/10.1016/j.cmet.2016.05.025
Park HS, Park SS, Kim CJ et al (2019) Exercise alleviates cognitive functions by enhancing hippocampal insulin signaling and neuroplasticity in high-fat diet-induced obesity. Nutrients 11. https://doi.org/10.3390/nu11071603
Huang X, Zhao X, Li B et al (2022) Comparative efficacy of various exercise interventions on cognitive function in patients with mild cognitive impairment or dementia: a systematic review and network meta-analysis. J Sport Health Sci 11:212–223. https://doi.org/10.1016/j.jshs.2021.05.003
Sewell KR, Rainey-Smith SR, Peiffer J et al (2023) The relationship between objective physical activity and change in cognitive function. Alzheimers Dement 19:2984–2993. https://doi.org/10.1002/alz.12950
Dhana K, Franco OH, Ritz EM et al (2022) Healthy lifestyle and life expectancy with and without Alzheimer’s dementia: population based cohort study. BMJ 377:e068390. https://doi.org/10.1136/bmj-2021-068390
Barha CK, Galea LA, Nagamatsu LS et al (2017) Personalising exercise recommendations for brain health: considerations and future directions. Br J Sports Med 51:636–639. https://doi.org/10.1136/bjsports-2016-096710
Wackerhage H, Schoenfeld BJ (2021) Personalized, evidence-informed training plans and exercise prescriptions for performance, fitness and health. Sports Med 51:1805–1813. https://doi.org/10.1007/s40279-021-01495-w
Solfrizzi V, Scafato E, Custodero C et al (2023) Biopsychosocial frailty and mild cognitive impairment subtypes: findings from the Italian project on the epidemiology of Alzheimer’s disease (IPREA). Alzheimers Dement 19:3306–3315. https://doi.org/10.1002/alz.12944
Okoye SM, Fabius CD, Reider L et al (2023) Predictors of falls in older adults with and without dementia. Alzheimers Dement 19:2888–2897. https://doi.org/10.1002/alz.12916
Vinel C, Lukjanenko L, Batut A et al (2018) The exerkine apelin reverses age-associated sarcopenia. Nat Med 24:1360–1371. https://doi.org/10.1038/s41591-018-0131-6
Shrauner W, Lord EM, Nguyen XT et al (2022) Frailty and cardiovascular mortality in more than 3 million US Veterans. Eur Heart J 43:818–826. https://doi.org/10.1093/eurheartj/ehab850
Monti E, Sarto F, Sartori R et al (2023) C-terminal agrin fragment as a biomarker of muscle wasting and weakness: a narrative review. J Cachexia Sarcopenia Muscle 14:730–744. https://doi.org/10.1002/jcsm.13189
Donnell DO, Romero-Ortuno R, Kennelly SP et al (2023) The ‘Bermuda Triangle’ of orthostatic hypotension, cognitive impairment and reduced mobility: prospective associations with falls and fractures in The Irish Longitudinal Study on Ageing. Age Ageing 52. https://doi.org/10.1093/ageing/afad005
Force USPST, Grossman DC, Curry SJ et al (2018) Interventions to prevent falls in community-dwelling older adults: US preventive services task force recommendation statement. JAMA 319:1696–1704. https://doi.org/10.1001/jama.2018.3097
Marcucci M, Damanti S, Germini F et al (2019) Interventions to prevent, delay or reverse frailty in older people: a journey towards clinical guidelines. BMC Med 17:193. https://doi.org/10.1186/s12916-019-1434-2
Dun Y, Hu P, Ripley-Gonzalez JW et al (2022) Effectiveness of a multicomponent exercise program to reverse pre-frailty in community-dwelling Chinese older adults: a randomised controlled trial. Age Ageing 51. https://doi.org/10.1093/ageing/afac026
Norgaard JE, Andersen S, Ryg J et al (2023) Effect of treadmill perturbation-based balance training on fall rates in community-dwelling older adults: a randomized clinical trial. JAMA Netw Open 6:e238422. https://doi.org/10.1001/jamanetworkopen.2023.8422
Travers J, Romero-Ortuno R, Langan J et al (2023) Building resilience and reversing frailty: a randomised controlled trial of a primary care intervention for older adults. Age Ageing 52. https://doi.org/10.1093/ageing/afad012
Shen Y, Shi Q, Nong K et al (2023) Exercise for sarcopenia in older people: a systematic review and network meta-analysis. J Cachexia Sarcopenia Muscle 14:1199–1211. https://doi.org/10.1002/jcsm.13225
Jia J, Zhao T, Liu Z et al (2023) Association between healthy lifestyle and memory decline in older adults: 10 year, population based, prospective cohort study. BMJ 380:e072691. https://doi.org/10.1136/bmj-2022-072691
Shi Y, Hanson AC, Schroeder DR et al (2022) Longitudinal assessment of cognitive function in young children undergoing general anaesthesia. Br J Anaesth 128:294–300. https://doi.org/10.1016/j.bja.2021.11.019
Marx W, Thomson S, O’Hely M et al (2022) Maternal inflammatory and omega-3 fatty acid pathways mediate the association between socioeconomic disadvantage and childhood cognition. Brain Behav Immun 100:211–218. https://doi.org/10.1016/j.bbi.2021.12.002
Bauer CC, Moreno B, Gonzalez-Santos L et al (2015) Child overweight and obesity are associated with reduced executive cognitive performance and brain alterations: a magnetic resonance imaging study in Mexican children. Pediatr Obes 10:196–204. https://doi.org/10.1111/ijpo.241
Yang SJ, Kim HS, Yoon KH (2018) Analyzing the distinguishing factors that affect childhood obesity in South Korea. Front Med 12:707–716. https://doi.org/10.1007/s11684-018-0660-x
Likhitweerawong N, Louthrenoo O, Boonchooduang N et al (2022) Bidirectional prediction between weight status and executive function in children and adolescents: a systematic review and meta-analysis of longitudinal studies. Obes Rev 23:e13458. https://doi.org/10.1111/obr.13458
Dutta BJ, Singh S, Seksaria S et al (2022) Inside the diabetic brain: insulin resistance and molecular mechanism associated with cognitive impairment and its possible therapeutic strategies. Pharmacol Res 182:106358. https://doi.org/10.1016/j.phrs.2022.106358
Jackson WM, Davis N, Sands SA et al (2016) Physical activity and cognitive development: a meta-analysis. J Neurosurg Anesthesiol 28:373–380. https://doi.org/10.1097/ANA.0000000000000349
Muntaner-Mas A, Palou P, Vidal-Conti J et al (2018) A mediation analysis on the relationship of physical fitness components, obesity, and academic performance in children. J Pediatr 198:e94. https://doi.org/10.1016/j.jpeds.2018.02.068
Recchia F, Bernal JDK, Fong DY et al (2023) Physical activity interventions to alleviate depressive symptoms in children and adolescents: a systematic review and meta-analysis. JAMA Pediatr 177:132–140. https://doi.org/10.1001/jamapediatrics.2022.5090
Knoop V, Cloots B, Costenoble A et al (2021) Fatigue and the prediction of negative health outcomes: a systematic review with meta-analysis. Ageing Res Rev 67:101261. https://doi.org/10.1016/j.arr.2021.101261
Kukla B, Anthony M, Chen S et al (2022) Brain small-worldness properties and perceived fatigue in mild cognitive impairment. J Gerontol A Biol Sci Med Sci 77:541–546. https://doi.org/10.1093/gerona/glab084
DeLuca J, Chiaravalloti ND, Sandroff BM (2020) Treatment and management of cognitive dysfunction in patients with multiple sclerosis. Nat Rev Neurol 16:319–332. https://doi.org/10.1038/s41582-020-0355-1
Collaborators GUND, Feigin VL, Vos T et al (2021) Burden of neurological disorders across the US From 1990–2017: a global burden of disease study. JAMA Neurol 78:165–176. https://doi.org/10.1001/jamaneurol.2020.4152
Ding L, Xiao Z, Gong X et al (2022) Knowledge graphs of ethical concerns of cerebral organoids. Cell Prolif 55:e13239. https://doi.org/10.1111/cpr.13239
Brandt JS, Hadaya O, Schuster M et al (2019) A bibliometric analysis of top-cited journal articles in obstetrics and gynecology. JAMA Netw Open 2:e1918007. https://doi.org/10.1001/jamanetworkopen.2019.18007
Chen Y, Zhang X, Chen S et al (2021) Bibliometric analysis of mental health during the COVID-19 pandemic. Asian J Psychiatr 65:102846. https://doi.org/10.1016/j.ajp.2021.102846
Funding
This work was funded by the National Natural Science Foundation of China (Grant No. 81971033) and the Kuanren Talents Program of the Second Affiliated Hospital of Chongqing Medical University (Grant No. kryc-lj-2105).
Author information
Authors and Affiliations
Contributions
YHZ, PH, YXL and XQY conceived the idea of the manuscript. YHZ conducted the literature search and analysis. PH worked on the tables and figures. YHZ wrote the first draft of the manuscript. YHZ, PH, YXL and XQY revised the original manuscript. All authors read and approved the final version.
Corresponding authors
Ethics declarations
Conflict of interest
There are no potential conflicts of interest.
Ethics approval
Not applicable.
Statement of human and animal rights
All raw data was obtained from the Web of Science Core Collection, a public database. This article does not contain any raw data of human participants or animals. As a result, the ethical approval was waived.
Informed consent
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
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/.
About this article
Cite this article
Zhu, YH., Hu, P., Luo, YX. et al. Knowledge mapping of trends and hotspots in the field of exercise and cognition research over the past decade. Aging Clin Exp Res 36, 19 (2024). https://doi.org/10.1007/s40520-023-02661-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s40520-023-02661-y