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        Research hotspots and effectiveness of repetitive transcranial magnetic stimulation in stroke rehabilitation

        2020-04-29 02:12:46AiHuaXuYongXinSun

        Ai-Hua Xu, Yong-Xin Sun

        Department of Rehabilitation Medicine, the First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China

        Abstract Repetitive transcranial magnetic stimulation, as a relatively new type of rehabilitation treatment, is a painless and non-invasive method for altering brain excitability. Repetitive transcranial magnetic stimulation has been widely used in the neurorehabilitation of stroke patients. Here, we used CiteSpace software to visually analyze 315 studies concerning repetitive transcranial magnetic stimulation for stroke rehabilitation from 1999 to 2019, indexed by Web of Science, to clarify the research hotspots in different periods and characterize the gradual process of discovery in this field. We found that four main points were generally accepted: (1) repetitive transcranial magnetic stimulation has a positive effect on motor function recovery in patients with subcortical stroke; (2) it may be more advantageous for stroke patients to receive low-frequency repetitive transcranial magnetic stimulation in the unaffected hemispheres than to receive high-frequency repetitive transcranial magnetic stimulation in affected hemisphere; (3) low-frequency repetitive transcranial magnetic stimulation has become a potential therapeutic tool for patients with non-fluent aphasia after chronic stroke for neurological rehabilitation and language recovery; and (4) there are some limitations to these classic clinical studies, such as small sample size and low test efficiency. Our assessment indicates that prospective, multi-center, large-sample, randomized controlled clinical trials are still needed to further verify the effectiveness of various repetitive transcranial magnetic stimulation programs for the rehabilitation of stroke patients.

        Key Words: data visualization; motor recovery; rehabilitation; repetitive transcranial magnetic stimulation;stroke; stroke rehabilitation; transcranial magnetic stimulation

        Introduction

        Magnetic signals can stimulate brain nerves through the skull without attenuation. Thus, transcranial magnetic stimulation (TMS) is considered to be a painless and non-invasive treatment method that has been extensively used in neurorehabilitation treatment of stroke patients(van Lieshout et al., 2019). Further, the emergence of continuously adjustable repetitive TMS (rTMS) has led to new applications in the fields of neurological diseases, rehabilitation, and the treatment of clinical mental illnesses (Hordacre et al., 2019). rTMS mainly uses different frequencies to achieve therapeutic purposes. High frequencies (> 1 Hz)mainly produce excitatory effects, and low frequencies (≤1 Hz) mainly produce inhibitory effects (Du et al., 2019;Zhang et al., 2019). rTMS affects local nerves by altering neural function at multiple sites through the connections and interactions between neural networks. To improve brain function in patients with various diseases, optimal therapeutic effects can be achieved by adjusting the stimulation intensity, frequency, site, and coil direction.

        The purpose of this paper was to: (1) clarify the role and characteristics of rTMS in stroke rehabilitation, (2) perform a visual analysis of post-stroke rTMS rehabilitation studies using CiteSpace software, and (3) objectively clarify the time-series changes of research hotspots and dynamic frontiers in this field, with the goal of obtaining quantitative and objective data as well as key references.

        Data and Methods

        Retrieval strategy

        The first author retrieved relevant studies addressing rTMS for stroke rehabilitation published from 1999 to 2019.

        Data source

        Web of Science (WOS) Core Collection Database.

        Search terms

        The search terms were as follows: (Repetitive Transcranial Magnetic Stimulation OR Transcranial Magnetic Stimulation OR Transcranial Magnetic) AND (Stroke* OR Cerebral Stroke* OR Cerebral Infarct* OR Cerebrovascular Accident)AND (Rehabilitation OR Stroke Rehabilitation).

        Retrieval time

        From 1999 to 2019.

        Qualification

        Full-text retrieval was performed.

        Inclusion criteria

        Studies related to the application of rTMS in stroke rehabilitation were selected after reading the title and abstract. The style of the study was not limited, such that we included any study describing a technical method for treating post-stroke rehabilitation, such as research originals, meta-analyses, reviews, commentaries, and case reports.

        Number of studies included

        A total of 315 studies were included, published before the deadline of December 30, 2019.

        Methods

        Software parameter settings

        CiteSpace software was developed by Dr. Chaomei Chen,who is a scholar at Drexel University, USA. The software uses Java to conduct visual analyses of scientific references.The software uses co-occurrence and co-citation analyses of a large set of reference data in a given research field to objectively and quantitatively analyze and forecast research frontiers and development trends (Chen, 2004; Chen and Song,2019).

        We used CiteSpace.5.6.R1 software to retrieve studies published from 1999 to 2019 with the ‘Time Slicing’ value set to 1 year. The subject heading was set to ‘Burst Term’.

        The type of Node was selected according to the country,keyword, and category for co-occurrence analysis, and the reference and journal for co-citation analysis. CiteSpace soft-ware can be used to (1) generate a co-citation analysis map of a cited reference and cited journal; (2) generate a co-occurrence analysis map for a keyword, country, or category;and (3) generate a bibliographic coupling analysis map for a reference and an overlay map of a journal.

        Burst detection is a form of topic detection. In CiteSpace,we used the algorithm proposed by Goldberg et al. (2002) to detect innovative topic hotspots.

        Interpretation of the application of visualization map identification

        Citation tree-rings: In a map drawn using Citespace, there is a circular region termed the citation ‘tree-rings’, which represents the citation history of a paper. The color of the most central citation tree-ring indicates the publication year.

        Node circle: The size of the radius indicates the number of published papers in the author’s co-authored network and the institutional co-authored network, and also indicates how often the keywords appear in the keyword co-occurrence network.

        Link between nodes: A link indicates the presence of co-authorship or a co-occurrence relationship. The node colors indicate different years, and gradually change from cold colors to warm colors such that blue represents earlier years and red represents later years.

        Centrality: Centrality is a measure of the importance of nodes in the network. CiteSpace uses this index to find and measure the importance of references, and uses purple circle to mark the references (or authors, journals, and institutions). The nodes labeled with a purple circle have greater centrality (≥ 0.1), and the nodes labeled with red circle show greater burst intensity.

        Cluster #: Cluster analysis is carried out on the generated map, and each cluster is labeled by citing the title, keywords,and subject headings in the abstract of the citing reference(each label can be divided into several categories, such as #0,#1, #2…).

        Results

        Research hotspots and hot journals for the application of rTMS in the field of stroke rehabilitation based on citation relationships

        Burst analyses of cited journals revealed neuroscience journals with research hotspots

        Journal co-citation analyses of references from 1991 to 2019 cited by 315 studies published from 1999 to 2019 found that among the earliest journals,BRAIN,J NEUROPHYSIOL, andNAT NEUROSCIhad hotspots in 2004, andNAT NEUROSCIhad hotspots for the longest time period, i.e., from 2004 to 2014.PLOS ONEandFRONT HUM NEUROSCIhad the most recent frontier hotspot (Figure 1).

        Among the top 10 cited journals among 315 studies published from 1999 to 2019, STROKE was the most frequently cited

        STROKEwas cited 253 times;CLIN NEUROPHYSIOLwas cited 232 times; andNEUROLOGYwas cited 219 times(Figure 2).

        Dual-map overlays showed that hot cited journals were mainly in the fields of rehabilitation medicine and neuroscience

        CiteSpace.5.6.R1 software provided basic reference data, and the basic map resource data regarding dual-map overlays were sourced from Journal Citation Reports 2011. The results of the dual-map overlays, shown in Figure 3, confirmed that the application of rTMS in post-stroke rehabilitation is still a current research hotspot, covered by major neuroscience journals such asSTROKEandJ NEUROSCI. Based on the Bblondel algorithm, the map of dual-map overlays among 315 studies is displayed in Figure 3: The left side of the figure shows the journal distribution of citing journals, and the right side shows the journal distribution of cited journals (Chen et al., 2014). The citing journals of the 315 studies are mainly from the fields of neurology, sports,medical science, medicine, and rehabilitation medicine. The cited journals of the 315 studies are mainly from the fields of health, nursing care, medical science, skin, oral health,surgery, sports, and rehabilitation medicine. Among them,rehabilitation medicine was most concentrated in the cited journals (shown in the center of the circle on the right), and is the hotspot of current research on rTMS.

        Co-occurrence of WOS categories of 315 studies published from 1999 to 2019 shows that neurology and rehabilitation are the most important fields in the application of rTMS

        The 315 included studies are from various fields, such as neuroscience, neurology, clinical neurology, rehabilitation,and sports science (Figure 4).

        Co-citation of hot rTMS references based on cited references of 315 included studies

        Eleven categories of cited references of 315 studies published from 1999 to 2019

        The landscape generated using the clusters of co-cited references is exhibited in Figure 5. The top 100 references with the highest number of citations in each year were selected to build a co-cited network. After synthesizing the network for each year, the network was found to contain a total of 1624 citations and 465 nodes. The clustered research categories were divided into 11 groups (#0-10). Each cluster was labeled according to the title, keywords, and subject headings in the abstracts of the citing references that cited the clustered citation (Chen et al., 2014).

        Time trends for the cited references of the 315 included studies

        After generating the co-cited cluster map, the timeline map of the co-citation network could be obtained using the cluster number as the Y-axis and the publication year of the citation as the X-axis. The timeline view shows the time span and research progress of the development and evolution of each cluster sub-domain.

        Figure 6 presents the characteristics of the time-span citation information for the 11 cluster domains. Taking the field represented by cluster #0 at the top of the figure (#0 subacute stroke) as an example, the time span is from 2006 to 2016. Moreover, there are a series of important landmark achievements between 2009 and 2012. For example, (1) Khedr et al. (2009) compared the long-term effects of 1 Hz and 3 Hz rTMS therapies (five daily sessions) on motor function recovery from acute stroke. This paper was cited 28 times.(2) Khedr et al. (2010) evaluated the effect of rTMS at two different frequencies on cortical excitability up to one year after motor function recovery and treatment, and this paper was cited 33 times. (3) Avenanti et al. (2012) observed the effects of regular rTMS and physical therapy combined with interventions for long-term behavioral and neurophysiological changes in patients with chronic mild stroke-induced dyskinesia, and this paper was cited 30 times. (4) Sasaki et al. (2013) elucidated the mechanisms of rTMS, and found it to be favorable for treating upper limb hemiplegia early after stroke. This paper was cited 26 times. (5) Du et al. (2016)compared the effects of high-frequency rTMS and low-frequency rTMS on early motor function recovery after stroke,and this paper was cited 8 times.

        From 1999 to 2014, the cluster categories with the largest time span for the cited references are #1 motor function and#2 chronic non-fluent aphasia. The most frequently cited cluster categories are #0 subacute stroke and #1 motor function. In recent years, the cluster categories of the most concentrated citations were #3 combined low frequency and #6 language therapy.

        Analysis of representative cited references in the 315 included studies

        Content and perspective analysis: Reference information for the cited references of the 315 included studies is summarized in Table 1. The studies by Rossi et al. (2009) and Lefaucheur et al. (2014) are considered to be references regarding the guidelines for efficacy and safety, and are cited frequently. The studies by Takeuchi et al. (2015), Fregni et al. (2006), Khedr et al. (2005), and Avenanti et al. (2012)are randomized controlled trials. A study by Takeuchi et al.(2015) focused on hand function recovery. A study by Fregni et al. (2006) focused on the effect of rTMS on stroke patients.A study by Khedr et al. (2005) focused on the effects of real rTMS and sham rTMS on the recovery of neurological function in stroke patients. A study by Avenanti et al. (2012) focused on the effect of physical therapy combined with rTMS on motor function recovery in affected limbs. A study by Mansur et al. (2005) was a cross-controlled study focusing on the effect of low-frequency rTMS on improving motor function in stroke patients. A study by Kim et al. (2006)focused on the effects of high-frequency rTMS on exercise performance in patients with chronic stroke. A study by Hsu et al. (2012) was a meta-analysis. Hsu et al. (2012) concluded that the effect of rTMS varied according to the stimulation site. Particularly, low-frequency rTMS on the unaffected hemisphere may be more beneficial than high-frequency rTMS on the affected hemisphere. Although these concepts are generally well accepted, further verification via largescale randomized controlled studies is required to clarify the different roles of various rTMS schemes in stroke treatment.

        Analyzing the degree of innovation

        According to the formula for calculating Sigma given by Professor Chen Chaomei (Chen et al, 2010), Sigma = (centrality+1)burstness(burstness on the index), the Sigma value is composed of two indicators: the intermediary centrality and the burst value. This formula can be used to identify innovative references and thus identify innovative topics.We have summarized the top 3 innovative references (Table 2). A study by Ameli et al. (2009) was a case analysis that confirmed the effectiveness of 10 Hz rTMS in the treatment of stroke. A study by Khedr et al. (2009) was a randomized controlled trial that found that 1 Hz rTMS in the unaffected hemisphere or 3 Hz rTMS in the affected hemisphere could promote functional recovery after stroke. A study by Barwood et al. (2011) was a case study that highlighted the potential effect of rTMS on language rehabilitation after stroke.

        Keywords for hotspots based on a co-occurrence analysis of keywords for the 315 included studies

        The co-occurrence analysis of all the keywords in the 315 studies revealed 183 keyword nodes and 826 connection lines.

        Hot word clusters revealed by the cluster analysis chart

        The keyword clusters were divided into eight categories(#0-7) (Figure 7). The main three categories were: (1) #0:daily living, with 30 keywords; (2) #1 subacute stroke, with 26 keywords; (3) #2: chronic motor deficit, with 26 keywords(Figure 8).

        Three stages of keyword mutations for the 315 included studies

        Figure 9 shows the years when hot keywords began to appear and ended. An analysis of the year in which the keywords began (“Begin” in Figure 9) indicated two main points. (1)In the first stage, the primary motor cortex (2007-2010) was the first hot keyword, mainly describing the relationship between TMS and the primary motor cortex in stroke patients.(2) In the second stage, unaffected hemisphere (2008-2010),upper extremity function (2009-2012), aphasia (2009-2015),language (2011-2013), and hemispatial neglect (2012-2015)were the hot keywords, mainly describing the effects of rTMS on the unaffected hemisphere, hemispatial neglect,upper limb function, and speech function in patients with stroke. (3) In the third stage, noninvasive brain stimulation(2014-2019) and motor function recovery (2016-2017) were the latest hot words, reflecting the finding that a noninvasive brain stimulation method can promote the recovery of motor function after stroke. The ending years of the above highlighted keywords are shown in Figure 9.

        Figure 1 Top 25 cited journals with the strongest citation bursts among 315 studies published from 1999 to 2019.

        Figure 2 Top 10 most cited journals among 315 studies published from 1999 to 2019.

        Figure 4 Co-occurrence analysis of web of science categories of the 315 included studies.

        Figure 3 Visualization of dual-map overlays of citing journals and cited journals of 315 studies published from 1999 to 2019.

        Bibliographic coupling analysis of 13 academic hotspots among the 315 included studies

        Among the 315 studies, if two or more studies cited a reference together, then these two or more studies constituted a coupling relationship. Cluster analysis of the coupled references yielded 13 categories (#0-12). The hottest words in the largest coupling area were #0 focal inhibition and #1 open-protocol trial (Figure 10).

        Figure 5 Analysis of cited references in keyword clusters.

        Figure 6 Timeline view of co-citation analysis.

        Figure 7 Cluster of keywords from 315 included studies.

        Figure 8 Frequency of the top 20 keywords.

        Table 1 Ten representative studies on rTMS and post-stroke rehabilitation among the cited references of the included 315 studies

        Table 2 Three innovative studies about rTMS and post-stroke rehabilitation among the cited references of the included 315 studies

        Analysis of authoritative authors, institutions, and countries in the application of rTMS in post-stroke rehabilitation

        Authoritative authors of cited references of the 315 included studies

        Among all co-cited authors, the most cited authors were KHEDR EM (118 times), followed by FREGNI F (104 times)and TAKEUCHI N (104 times). These three authors are authoritative experts in their field (Table 3).

        Authoritative institutions of cited references of the 315 included studies

        Of the 315 studies, the most cited institution was Jikei Univ(Jikei University School of Medicine, Japan) (19 times), followed by Univ Queensland (The University of Queensland,Australia) (8 times), Univ Minnesota (University of Minnesota, USA) (8 times), Harvard Med Sch (Harvard Medical School, USA) (6 times), and McGill Univ (McGill University,Canada) (6 times). These five institutions are authoritative institutions in their field (Table 4).

        Distribution of authoritative countries with high-level research in burst analysis based on the citation analysis of 315 studies

        There were six major burst countries, including the United Kingdom, Germany, the United States, Australia, South Korea, and China (Figure 11). The United Kingdom, Germany,and the United States, which are relatively developed in terms of imaging research, were the first to focus on rTMS for stroke treatment. The number of studies in China exploded in 2017-2019, indicating that China has paid more attention to this field in recent years.

        Discussion

        Advantages and challenges related to the application of TMS in stroke rehabilitation

        TMS and motor function recovery after stroke

        In addition to its application in the rehabilitation of motor function after stroke, TMS has a positive effect on the early prediction of motor recovery (Lüdemann-Podubecká and Nowak, 2016). However, there are still many issues to be resolved in the application of TMS in the early prediction of motor function recovery after stroke, such as the optimal detection time after stroke, whether it can be equally effective in the prediction of rehabilitation results for the upper andlower limbs, and whether it can be used together with other evaluation tools to provide more accurate predictions.

        Table 3 Top10 authoritative authors in cited references of the 315 included studies

        Table 4 Top10 authoritative institutions in cited references of the 315 included studies

        Figure 9 Top 10 keywords with the strongest citation bursts of the 315 included studies published from 1999 to 2019.

        Figure 11 Top 6 countries with the strongest citation bursts among the 315 included studies.

        Figure 10 Bibliographic coupling of the 315 included studies (cluster #0-12).

        rTMS and swallowing function rehabilitation after stroke

        This treatment has gradually become a hot topic (ünlüer et al., 2019). Based on the neurophysiological mechanisms of swallowing, multiple treatment schemes have been developed involving different frequencies, intensities, and locations.However, these have specific effects on the rehabilitation of swallowing function. Further study regarding the neurophysiological mechanisms of rTMS is needed. A practical and individualized scheme could be developed by studying the swallowing neural network and exploring the optimal time window of neural stimulation for swallowing regulation.

        rTMS and neurological repair in the subacute and chronic phases of stroke

        Kang et al. (2019) found no obvious adverse reactions for rTMS and determined that the treatment was safe. Nevertheless, different rTMS stimulation programs have been found to have different effects. High-frequency rTMS can increase cortical excitability, while low-frequency rTMS can decrease cortical excitability. Therefore, rTMS treatment schemes should vary according to the outcomes for different neurological impairment in patients with stroke, such as dyskinesia, cognitive impairment, and dysphagia.

        Generally accepted conclusions regarding rTMS

        (1) rTMS has a positive effect on motor recovery in patients with subcortical stroke (Hsu et al., 2012). (2) Within 12 months after stroke, slow-frequency rTMS could be used in unaffected hemispheres to reduce the inter-hemispheric inhibition of damaged hemispheres and improve motor function (Mansur et al., 2005). It is suggested that low-frequency rTMS in the unaffected hemisphere may be more beneficial than high-frequency rTMS in the affected hemisphere. (3)Low-frequency rTMS has become a potential tool for neurorehabilitation and language recovery of chronic non-fluent aphasia after chronic stroke (Barwood et al., 2011).

        Timing of research hotspots revealed by analysis of keywords in rTMS studies

        Noninvasive brain stimulation (2014-2019) and motor recovery (2016-2017) have become the latest hot keywords,which is in line with the main trends in current research(Fisicaro et al., 2019; Lee et al., 2019; Veldema et al., 2019).

        Analysis of authoritative countries obtained by analyzing highly-cited references of related rTMS studies

        Chinese scholars have been more active in researching poststroke rTMS for rehabilitation. According to the Chinese expert consensus on rTMS, the biggest problem is accurate stimulation of the target (Chinese Society of ECT & Neurostimulation, 2018). The main problems in the application of rTMS for related diseases include: (1) factors that influence the treatment effect; (2) the action mechanism of various diseases; (3) the combination of rTMS with drug treatment,for which there is not currently an effective standard.

        Limitations in the application of rTMS

        Although most rTMS studies have shown positive therapeutic effects, large-sample randomized controlled data are lacking. The number of case studies is high. Further,few high-level clinical studies have examined the treatment of acute stroke. In addition, because of a limitation of the CiteSpace software, this paper only analyzed references in the WOS database. The data in other databases such as PubMed have not been comprehensively analyzed. Therefore, the 315 included studies only represent information from the WOS database, and not all of the information in the rTMS field.

        Significance and contribution

        Based on bibliometric visual analysis, we present a visualization map of rTMS in the treatment of post-stroke rehabilitation. The map shows the hot research directions of rTMS in recent years, such as the influence of rTMS on the unaffected hemisphere, hemispatial neglect, language function, and motor function recovery in stroke patients. Simultaneously,we observed deficiencies in the research in this field. With the continuous improvement and development of rTMS technology, new insights regarding the pathogenesis of various related diseases, which will greatly promote the research and application of rTMS, are expected. The international research hotspots obtained from our bibliometrics analysis of 315 studies using CiteSpace software are in line with current clinical practice of rTMS for stroke rehabilitation, indicating that the methodology is valid.

        Author contributions:AHX designed the manuscript, organized data collection, carried out the analysis, and wrote the final version of this manuscript,and acted as the guarantor for the manuscript. YXS supervised data collection and analysis and helped in interpreting the data and writing the manuscript.Both authors approved the final manuscript.

        Conflicts of interest:The authors declare that there are no conflicts of interest associated with this manuscript.

        Financial support:None.

        Copyright license agreement:The Copyright License Agreement has been signed by all authors before publication.

        Data sharing statement:Datasets analyzed during the current study are available from the corresponding author on reasonable request.

        Plagiarism check:Checked twice by iThenticate.

        Peer review:Externally peer reviewed.

        Open access statement:This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribu tion-Non-Commercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

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