Knowledge domains and emerging trends in non-invasive brain stimulation: A bibliometric analysis via CiteSpace
Abstract
Introduction. In recent decades, new non-invasive brain stimulation techniques and protocols have been developed, such as transcranial magnetic stimulation and transcranial direct current stimulation.
Objective. To identify and visualize the intellectual structure of non-invasive brain stimulation through document co-citation analysis.
Materials and methods. We analyzed 30,854 Web of Science-indexed manuscripts and their 1,615,692 references regarding non-invasive brain stimulation, all published from 1988 to 2022. We drew a document co-citation network map using CiteSpace software.
Results. The most productive journal was Clinical Neurophysiology. The most published institution was the University College London, and the country with the most reports was the USA. The most productive author was Alvaro Pascual-Leone and the most cited author in the non-invasive brain stimulation field was J. C. Rothwell. In addition, the most cited study was that of Rossi et al. (2009). The safe application of non-invasive brain stimulation techniques and their effects on motor or executive functions is an emerging trend in this research area.
Conclusions. The current investigation displayed a quantitative scientometric approach and delved into the advancement of non-invasive brain stimulation research by examining the references published in this domain. These findings can be valuable for professionals to picture the patterns of recognition and emerging directions in the field.
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References
Kesikburun S. Non-invasive brain stimulation in rehabilitation. Turk J Phys Med Rehabil. 2022;68:1-8 https://doi.org/10.5606/tftrd.2022.10608
Liew SL, Santarnecchi E, Buch ER, Cohen LG. Non-invasive brain stimulation in neurorehabilitation: Local and distant effects for motor recovery. Front Hum Neurosci. 2014;8. https://doi.org/10.3389/fnhum.2014.00378
Barker AT, Jalinous R, Freeston IL. Non-invasive magnetic stimulation of human motor cortex. Lancet. 1985;325:1106-7. https://doi.org/10.1016/s0140-6736(85)92413-4
Huang YZ, Lu MK, Antal A, Classen J, Nitsche M, Ziemann U, et al. Plasticity induced by non-invasive transcranial brain stimulation: A position paper. Clin Neurophysiol. 2017;128:2318-29. https://doi.org/10.1016/j.clinph.2017.09.007
Henrich-Noack P, Sergeeva E, Sabel B. Non-invasive electrical brain stimulation: From acute to late-stage treatment of central nervous system damage. Neural Regen Res. 2017;12:1590. https://doi.org/10.4103/1673-5374.217322
Martínez-Fuentes J, Ríos-Díaz J, Meroño-Gallut AJ, Martínez-Payá JJ, del-Baño-Aledo ME. Caracterización de la base intelectual de la fisioterapia a través del análisis de cocitación de documentos. Fisioter. 2014;36:167-76. https://doi.org/10.1016/j.ft.2013.10.001
Chen C, Ibekwe-SanJuan F, Hou J. The structure and dynamics of co-citation clusters: A multiple-perspective co-citation analysis. J Am Soc Inf Sci. 2010;61:1386-409. https://doi.org/10.1002/asi.21309
Arencibia JR, Moya-Anegón F. La evaluación de la investigación científica: una aproximación teórica desde la cienciometría. Acimed. 2018;17:1-27.
Miguel S, Moya-Anegón F, Herrero-Solana V. El análisis de co-citas como método de investigación en Bibliotecología y Ciencia de la Información. Investig Bibl. 2007;21:139-55.
Schargus M, Kromer R, Druchkiv V, Frings A. The top 100 papers in dry eye. A bibliometric analysis. Ocul Surf. 2018;16:180-90. https://doi.org/10.1016/j.jtos.2017.09.006
Liang YD, Li Y, Zhao J, Wang XY, Zhu HZ, Chen XH. Study of acupuncture for low back pain in recent 20 years: A bibliometric analysis via CiteSpace. J Pain Res. 2017;10:951-64. https://doi.org/10.2147/jpr.s132808
Ma R, Ho YS. Comparison of environmental laws publications in Science Citation Index Expanded and Social Science Index: A bibliometric analysis. Scientometrics. 2016;109:227-39. https://doi.org/10.1007/s11192-016-2010-6
Choudhri AF, Siddiqui A, Khan NR, Cohen HL. Understanding Bibliometric Parameters and Analysis. Radiographics. 2015;35:736-46. https://doi.org/10.1148/rg.2015140036
Garfield E. Citation indexes for science: A new dimension in documentation through association of ideas. Science. 1955;122:108-11. https://doi.org/10.1126/science.122.3159.108
Kessler M. Bibliographic coupling between scientific papers. American documentation. Journal of the Association for Information Science and Technology. 1963;14:10-25. https://doi.org/10.1002/asi.5090140103
Price D. Networks of scientific papers: The pattern of bibliographic references indicates the nature of the scientific research front. Science. 1965;149:510-5. https://doi.org/10.1126/science.149.3683.510
Córdoba-Cely C, Alpiste F, Londoño F, Monguet J. Análisis de cocitación de autor en el modelo de aceptación tecnológico, 2005-2010. Rev Esp Doc Cient. 2012;35:238-61. https://doi.org/10.3989/redc.2012.2.864
Davidson PM, Newton PJ, Ferguson C, Daly J, Elliott D, Homer C, et al. Rating and ranking the role of bibliometrics and webometrics in nursing and midwifery. Sci World J. 2014;2014:1-6. https://doi.org/10.1155/2014/135812
Small H. Co‐citation in the scientific literature: A new measure of the relationship between two documents. J Am Soc Inf Sci. 1973;24:265-9. https://doi.org/10.1002/asi.4630240406
Marshakova-Shaikevich I. System of document connections based on references. Nauchn-Techn Inform. 1973;6:3-8.
Olmeda-Gómez C, Perianes-Rodríguez A, Ovalle-Perandones MA. Mapas de información científica: redes de cocitación de clases y categorías en la producción científica de los investigadores en Medicina de la Comunidad de Madrid (1995-2003). Corfu (Greece): Universidad Carlos III; 2007. p. 1-16.
Salomón YP. Campo científico de la Comunicación: examinando su estructura intelectual a través del análisis de cocitación. Rev Lat Comun Soc. 2010;65:204-13. http://doi.org/10.4185/RLCS-2010-893-204-213
Wilson M, Sampson M, Barrowman N, Doja A. Bibliometric analysis of neurology articles published in general medicine journals. JAMA Netw Open. 2021;4:e215840. https://doi.org/10.1001/jamanetworkopen.2021.5840
Listik C, Listik E, Cury RG, Barbosa ER, Teixeira MJ, Andrade DCD. Deep brain stimulation treatment in dystonia: A bibliometric analysis. Arq Neuro-Psiquiatr. 2020;78:586-92. https://doi.org/10.1590/0004-282x20200016
Hu K, Moses ZB, Xu W, Williams Z. Bibliometric profile of deep brain stimulation. Br J Neurosurg. 2017;31:587-92. https://doi.org/10.1080/02688697.2017.1324109
Li X, Chen C, Pan T, Zhou X, Sun X, Zhang Z, et al. Trends and hotspots in non-motor symptoms of Parkinson’s disease: A 10-year bibliometric analysis. Front Aging Neurosci. 2024;16:1335550. https://doi.org/10.3389/fnagi.2024.1335550
Chen C. CiteSpace: A practical guide for mapping scientific literature. Hauppauge, NY, USA: Nova Science Publishers; 2016.
Chen C. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. J Am Soc Inf Sci. 2006;57:359-77. https://doi.org/10.1002/asi.20317
Liu Z, Yin Y, Liu W, Dunford M. Visualizing the intellectual structure and evolution of innovation systems research: A bibliometric analysis. Scientometrics. 2015;103:135-58. https://doi.org/10.1007/s11192-014-1517-y
Xiao F, Li C, Sun J, Zhang L. Knowledge domain and emerging trends in organic photovoltaic technology: A scientometric review based on CiteSpace analysis. Front Chem. 2017;5. https://doi.org/10.3389/fchem.2017.00067
Chen C. The centrality of pivotal points in the evolution of scientific networks. In: Proceedings of the 10th International Conference on Intelligent User Interfaces. ACM; 2005. p. 98-105. https://doi.org/10.1145/1040830.1040859
Liu S, Sun YP, Gao XL, Sui Y. Knowledge domain and emerging trends in Alzheimer’s disease: A scientometric review based on CiteSpace analysis. Neural Regen Res. 2019;14:1643. https://doi.org/10.4103/1673-5374.255995
Chen C. Searching for intellectual turning points: Progressive knowledge domain visualization. Proc Natl Acad Sci U S A. 2004;101(Suppl. 1):S5303-10. https://doi.org/10.1073/pnas.0307513100
Rossi S, Hallett M, Rossini PM, Pascual-Leone A. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clin Neurophysiol. 2009;120:2008-39. https://doi.org/10.1016/j.clinph.2009.08.016
Rossini PM, Burke D, Chen R, Cohen LG, Daskalakis Z, Di Iorio R, et al. Non-invasive electrical and magnetic stimulation of the brain, spinal cord, roots and peripheral nerves: Basic principles and procedures for routine clinical and research application. An updated report from an I.F.C.N. Committee. Clin Neurophysiol. 2015;126:1071-107. https://doi.org/10.1016/j.clinph.2015.02.001
Huang YZ, Edwards MJ, Rounis E, Bhatia KP, Rothwell JC. Theta burst stimulation of the human motor cortex. Neuron. 2005;45:201-6. https://doi.org/10.1016/j.neuron.2004.12.033
Nitsche MA, Cohen LG, Wassermann EM, Priori A, Lang N, Antal A, et al. Transcranial direct current stimulation: State of the art 2008. Brain Stimul. 2008;1:206-23. https://doi.org/10.1016/j.brs.2008.06.004
Ziemann U, Lönnecker S, Steinhoff BJ, Paulus W. Effects of antiepileptic drugs on motor cortex excitability in humans: A transcranial magnetic stimulation study. Ann Neurol. 1996;40:367-78. https://doi.org/10.1002/ana.410400306
Chen R, Classen J, Gerloff C, Celnik P, Wassermann EM, Hallett M, et al. Depression of motor cortex excitability by low-frequency transcranial magnetic stimulation. Neurol.1997;48:1398-403. https://doi.org/10.1212/wnl.48.5.1398
Stagg CJ, Nitsche MA. Physiological basis of transcranial direct current stimulation. Neuroscientist. 2011;17:37-53. https://doi.org/10.1177/1073858410386614
Wassermann EM. Risk and safety of repetitive transcranial magnetic stimulation: Report and suggested guidelines from the International Workshop on the Safety of Repetitive Transcranial Magnetic Stimulation, June 5-7, 1996. Electroencephalogr Clin Neurophysiol. 1998;108:1-16. https://doi.org/10.1016/s0168-5597(97)00096-8
Lefaucheur JP, André-Obadia N, Antal A, Ayache SS, Baeken C, Benninger DH, et al. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS). Clin Neurophysiol. 2014;125:2150-206. https://doi.org/10.1016/j.clinph.2019.11.002
Lefaucheur JP, Antal A, Ayache SS, Benninger DH, Brunelin J, Cogiamanian F, et al. Evidence-based guidelines on the therapeutic use of transcranial direct current stimulation (tDCS). Clin Neurophysiol. 2017;128:56-92. https://doi.org/10.1016/j.clinph.2016.10.087
Pascual-Leone A, Rubio B, Pallardó F, Catalá M. Rapid-rate transcranial magnetic stimulation of left dorsolateral prefrontal cortex in drug-resistant depression. Lancet. 1996;348:233-7. https://doi.org/10.1016/s0140-6736(96)01219-6
Rothwell JC, Thompson P, Day B, Boyd S, Marsden C. Stimulation of the human motor cortex through the scalp. Exp Physiol. 1991;76:159-200. https://doi.org/10.1113/expphysiol.1991.sp003485
Rothwell JC, Thompson P, Day B, Boyd S, Marsden C. Motor cortex stimulation in intact man: 1. General characteristics of EMG responses in different muscles. Exp Physiol.1987;76:159-200. https://doi.org/10.1093/brain/110.5.1173
Groppa S, Oliviero A, Eisen A, Quartarone A, Cohen LG, Mall V, et al. A practical guide to diagnostic transcranial magnetic stimulation: Report of an IFCN committee. Clin Neurophysiol. 2012;123:858-82. https://doi.org/10.1016/j.clinph.2012.01.010
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