ObjectivesTo systematically review the efficacy of repetitive transcranial magnetic stimulation (rTMS) on rehabilitation of unilateral neglect in stroke patients.MethodsPubMed, The Cochrane Library, PEDro, EMbase, CNKI, WanFang Data and VIP databases were searched online for randomized controlled trials (RCTs) of rTMS on rehabilitation of unilateral neglect in stroke patients from inception to March 2017. Two reviewers independently screened literature, extracted data and assessed the quality of included studies. Meta-analysis was then performed by using RevMan 5.3 software.ResultsA total of 12 RCTs involving 303 patients were included. The results of meta-analysis showed that: the stimulate group was superior to the control group in line bisection test (MD=–5.54, 95%CI –6.79 to –4.29, P<0.000 01), line cancellation test (MD=–3.75, 95%CI –4.60 to –2.90,P<0.000 1) and star cancellation test (MD=–22.94, 95%CI –26.52 to –19.35,P<0.000 01). However, there was no significant difference in the score of the modified Barthel index between two groups (MD=3.91, 95%CI–9.52 to 17.34,P=0.57).ConclusionsrTMS appears to improve the symptoms of unilateral neglect in stroke patients. Due to limited quality and quantity of the included studies, more high quality studies are needed to verify above conclusions.
Electromagnetic stimulation is an important neuromodulation technique that modulates the electrical activity of neurons and affects cortical excitability for the purpose of modulating the nervous system. The phenomenon of inverse stochastic resonance is a response mechanism of the biological nervous system to external signals and plays an important role in the signal processing of the nervous system. In this paper, a small-world neural network with electrical synaptic connections was constructed, and the inverse stochastic resonance of the small-world neural network under electromagnetic stimulation was investigated by analyzing the dynamics of the neural network. The results showed that: the Levy channel noise under electromagnetic stimulation could cause the occurrence of inverse stochastic resonance in small-world neural networks; the characteristic index and location parameter of the noise had significant effects on the intensity and duration of the inverse stochastic resonance in neural networks; the larger the probability of randomly adding edges and the number of nearest neighbor nodes in small-world networks, the more favorable the anti-stochastic resonance was; by adjusting the electromagnetic stimulation parameters, a dual regulation of the inverse stochastic resonance of the neural network can be achieved. The results of this study provide some theoretical support for exploring the regulation mechanism of electromagnetic nerve stimulation technology and the signal processing mechanism of nervous system.
Transcranial magnetic stimulation (TMS), a widely used neuroregulatory technique, has been proven to be effective in treating neurological and psychiatric disorders. The therapeutic effect is closely related to the intracranial electric field caused by TMS, thus accurate measurement of the intracranial electric field generated by TMS is of great significance. However, direct intracranial measurement in human brain faces various technical, safety, ethical and other limitations. Therefore, we have constructed a brain phantom that can simulate the electrical conductivity and anatomical structure of the real brain, in order to replace the clinical trial to achieve intracranial electric field measurement. We selected and prepared suitable conductive materials based on the electrical conductivity of various layers of the real brain tissue, and performed image segmentation, three-dimensional reconstruction and three-dimensional printing processes on each layer of tissue based on magnetic resonance images. The production of each layer of tissue in the brain phantom was completed, and each layer of tissue was combined to form a complete brain phantom. The induced electric field generated by the TMS coil applied to the brain phantom was measured to further verify the conductivity of the brain phantom. Our study provides an effective experimental tool for studying the distribution of intracranial electric fields caused by TMS.
The therapeutic effects of transcranial magnetic stimulation (TMS) are closely related to the structure of the stimulation coil. Based on this, this study designed an A-word coil and proposed a multi-strategy fusion multi-objective slime mould algorithm (MSSMA) aimed at optimizing the stimulation depth, focality, and intensity of the coil. MSSMA significantly improved the convergence and distribution of the algorithm by integrating a dual-elite guiding mechanism, a hyperbolic tangent control strategy, and a hybrid polynomial mutation strategy. Furthermore, compared with other stimulation coils, the novel coil optimized by the MSSMA demonstrates superior performance in terms of stimulation depth. To verify the optimization effects, a magnetic field measurement system was established, and a comparison of the measurement data with simulation data confirmed that the proposed algorithm could effectively optimize coil performance. In summary, this study provides a new approach for deep TMS, and the proposed algorithm holds significant reference value for multi-objective engineering optimization problems.
Pain is one of the common complications of most diseases. Due to the unknown mechanism of pain, its treatment has been controversial. Repeated peripheral magnetic stimulation for pain has the advantages of non-invasiveness, painlessness, and well-targeted. However, the parameters of repeated peripheral magnetic stimulation for pain are not uniform due to various factors such as frequency, location of action, and coil type. In this paper, the parameters and efficacy of repeated peripheral magnetic stimulation for various kinds of pain such as acute and chronic low back pain, myofascial pain, migraine, peripheral neuralgia and post-traumatic pain are described, in order to providea theoretical basis for future research. In addition, the mechanism of repeated peripheral magnetic stimulation for pain has not been known, and this article will briefly summarize and explain on this.
In the treatment of drug-refractory epilepsy in children, surgical treatment has a good clinical effect. However, for children whose surgical site is difficult to determine and who cannot undergo resectional surgery, neuromodulation techniques are one of the treatments that can be considered. At present, new neuromodulation technologies in children mainly include transcutaneous vagus nerve stimulation (transcutaneous auricular vagus nerve stimulation, ta-VNS), deep brain stimulation (deep brain stimulation, DBS), reactive nerve stimulation (responsive neurostimulation, RNS), transcranial magnetic stimulation (transcranial magnetic stimulation, TMS), transcranial direct current stimulation (transcranial direct current stimulation, TDCS) and transcranial alternating current stimulation (transcranial alternating current stimulation, TACS). This article briefly discussed the clinical efficacy and safety of various currently available neuromodulation technologies, so as to provide a reference for the rational selection and application of neuromodulation technologies, and improve the clinical efficacy and quality of life of children with drug-refractory epilepsy.
ObjectiveTo systematically evaluate the effect of repetitive transcranial magnetic stimulation (rTMS) on post-stroke depression (PSD).MethodsWe searched databases including the PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Internet, Wanfang, China Biology Medicine database and VIP database to collect randomized controlled trials comparing the effect of the rTMS group and the control group with the scores of depression scale from January 2013 to April 2018. Patients in the rTMS group received rTMS plus drug therapy or conventional treatment for PSD, and patients in the control group received rTMS sham stimulation or not, but the drug treatment or routine treatment was required. When the quality evaluation and data extraction were carried out by two reviewers independently, the Meta-analysis was performed using RevMan 5.3 software and Stata 14.0 software.ResultsA total of 18 literatures involving 1 376 patients (687 patients in the rTMS group and 689 patients in the control group) with PSD were included in this Meta-analysis. Compared with the control group, the rTMS group could effectively reduce the depression scores of PSD patients [standard mean difference (SMD)=–1.13, 95% confidence interval (CI) (–1.42, –0.84), P<0.000 01], and the effective rate of rTMS was 91.7%; meanwhile, rTMS could promote the scores of the National Institute of Health Stroke Scale and the activities of daily living of patients with PSD [SMD=–1.00, 95%CI (–1.25, –0.75), P<0.000 01;SMD=1.56, 95%CI (0.80, 2.32), P<0.000 01]. The source of heterogeneity was not found according to subgroup analysis and Meta-regression analysis. Additionally, few studies reported adverse reactions after the treatment of rTMS.ConclusionsrTMS has a positive effect on depression, neurological deficits, and decreased ability of daily living in patients with PSD. Due to the quality of the included studies, the conclusions need to be verified further.
Objective To evaluate the systematic reviews of repetitive transcranial magnetic stimulation (rTMS) for insomnia, to provide supporting evidence for clinical practice. Methods PubMed, Embase, Web of Science, Cochrane Library, Elsevier Science Direct, China National Knowledge Infrastructure, SinoMed, Wanfang and Chongqing VIP were searched from databases establishment to May 30, 2022, to find systematic reviews on the treatment of insomnia with rTMS as the main method. The methodological quality, reporting quality and evidence quality of outcome indicators were evaluated by AMSTAR 2, PRISMA 2020 and GRADE. Results A total of 4 systematic reviews published between 2018 and 2021 were included. Further analysis showed that one of the systematic reviews had a low AMSTAR 2 quality rating and the remaining systematic reviews were very low. The average PRISMA 2020 score of these 4 systematic reviews was (20.75±3.27) points, of which 3 systematic reviews had some defects in their reports, and the other one had relatively complete reports. The GRADE evidence quality assessment showed that there were 40 outcome indicators in the included literature, of which 3 outcome indicators (sleep quality, the percentage of S2 sleep in total sleep time, and S3 sleep in percentage of total sleep time) were rated as moderate, 17 were rated as low and 20 were rated as very low. Conclusions The treatment of insomnia by rTMS has achieved certain effects in clinical practice, but the systematic review of rTMS as the main intervention measure for insomnia needs to further improve the quality and standardize related research. The clinical application of rTMS for insomnia should be treated as appropriate.
ObjectiveTo systematically review the efficacy of different stimulation modalities of repetitive transcranial magnetic stimulation (rTMS) combined with SSRI in improving depressed mood after stroke using network meta-analysis. MethodsThe PubMed, EMbase, Cochrane Library, Web of Science, CNKI, VIP, CBM and WanFang Data databases were electronically searched to collect randomized controlled trials (RCTs) related to the objectives from inception to October 1, 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Network meta-analysis was then performed by using R 4.2.1software. ResultsA total of 25 RCTs involving 2 152 patients were included. Four types of rTMS stimulation combined with SSRIs were included: high-frequency stimulation of the left dorsolateral prefrontal (l-DLPFC), low-frequency stimulation of l-DLPFC, low-frequency stimulation of the right dorsolateral prefrontal (r-DLPFC), and low-frequency stimulation of the bilateral DLPFC. The results of the network meta-analysis showed that the effect of combining four stimulation methods with SSRI in treating depression was better than that of SSRI alone (P<0.05). Probability sorting results showed that low-frequency stimulated bilateral DLPFC (88.9%) > low-frequency stimulated l-DLPFC (63.1%) > high-frequency stimulation l-DLPFC (57.1%) > low-frequency stimulation r-DLPFC (40.4%). There was no statistically significant difference in the incidence of adverse reactions between the four stimulation methods combined with SSRI and the use of SSRI alone (P>0.05). Conclusion?rTMS combined with SSRIs is better than SSRIs alone in improving depressed mood after stroke. Low-frequency rTMS stimulation of bilateral DLPFC may be the best. Meanwhile, the safety of different stimulation methods is good.
Objective To conduct a bibliometric analysis of research hotspots and development trends in the application of peripheral magnetic stimulation (PMS), systematically review the research evolution, and provide references for future studies. Methods We retrieved PMS-related literature from the Science Citation Index Expanded database in Web of Science Core Collection (January 1, 1989 - March 5, 2025). Using VOSviewer (v1.6.20) and CiteSpace (v6.1.R6), we performed annual publication volume analysis, country/institution/author collaboration network analysis, reference co-citation analysis, and keyword co-occurrence/clustering/burst analysis, with corresponding knowledge mapping visualizations. Results A total of 124 publications were included. Both publication counts and citation frequencies remained low in early years but showed steady annual growth after 2011. The publications originated from 21 countries/regions, with Germany being the most productive nation, Technical University of Munich the leading institution, and Schneider C (from the Research Center of Neuroscience and Rehabilitation Sciences, Laval University, Canada) the most prolific author. Keyword analysis revealed three major research clusters: neuromodulation technologies, physiological mechanisms, and clinical rehabilitation applications. Future research priorities included expanded clinical applications integrating neuroelectrophysiological indicators with rehabilitation assessments, and interdisciplinary optimization of stimulation parameters through engineering approaches. Conclusions PMS has gained widespread clinical application with growing scientific interest. Future studies should focus on current hotspots to advance precision and intelligent development of this technology.
