A bibliometric analysis of electroencephalogram research in stroke: current trends and future directions DOI Creative Commons
Xiaoyu Liao,

Yu‐Er Jiang,

Renjie Xu

et al.

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: April 28, 2025

Electroencephalography (EEG) has become an indispensable tool in stroke research for real-time monitoring of neural activity, prognosis prediction, and rehabilitation support. In recent decades, EEG applications have expanded, particularly areas like brain-computer interfaces (BCI) neurofeedback motor recovery. However, a comprehensive analysis trends this domain is currently unavailable. The study collected data from the Web Science Core Collection database, selecting publications related to 2005 2024. Visual tools such as VOSviewer CiteSpace were utilized build knowledge maps field, analyzing distribution publications, authors, institutions, journals, collaboration networks. Additionally, co-occurrence, clustering, burst detection keywords analyzed detail. A total 2,931 identified, indicating consistent increase stroke, with significant growth post-2017. United States, China, Germany emerged leading contributors, high networks among Western institutions. Key included signal processing advancements, seizure risk consciousness disorder assessment, EEG-driven techniques. Notably, studies focused on integrating machine learning multimodal more precise functional evaluations. findings reveal that evolved diagnostic therapeutic support platform context care. advent deep integration positioned expanded personalized rehabilitation. It recommended future prioritize interdisciplinary standardized methodologies order facilitate clinical adoption enhance translational potential management.

Language: Английский

Treatment options for depression in Parkinson’s disease: a mini-review DOI
Alberto Raggi, Alessandro Serretti, Raffaele Ferri

et al.

International Clinical Psychopharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

Depression is a common comorbidity in Parkinson’s disease (PD), significantly reducing patients’ quality of life. This mini-review examines pharmacological and nonpharmacological therapies for managing depression PD, analyzing their benefits, limitations. Pharmacological options include tricyclic antidepressants, selective serotonin reuptake inhibitors (SSRIs), norepinephrine (SNRIs), levodopa, dopaminergic agonists, monoamine oxidase B inhibitors. Nonpharmacological strategies involve brief psychodynamic therapy, cognitive-behavioral therapy (CBT), physical exercise, phytomedicine, massage music phototherapy, yoga, repetitive transcranial magnetic stimulation (rTMS), direct current stimulation, electroconvulsive (ECT), deep brain stimulation. SSRIs, SNRIs, some dopamine agonists have shown effectiveness good tolerability, especially when combined with CBT or rTMS. For severe refractory cases, ECT remains viable option. Although many these show promise, the limited number scale studies each treatment restrict strength evidence. Further large-scale, multicenter randomized-controlled trials are essential to validate preliminary findings establish evidence-based guidelines. In addition, potential benefits social support context PD-related require further exploration provide holistic care this population.

Language: Английский

Citations

0

Effectiveness of Transcranial Stimulation on Cognitive Abilities of Older Adults with Mild Cognitive Impairment DOI Open Access
Juan Miguel Muñoz-Perete,

Javier Cano-Sánchez,

Yolanda Castellote‐Caballero

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(7), P. 2472 - 2472

Published: April 4, 2025

Background/Objectives: Aging leads to cognitive decline that may progress dementia. Transcranial direct current stimulation (tDCS) has emerged as a strategy improve functions in older adults with mild impairment (MCI). This study reviews the effectiveness of tDCS these populations. Methods: A systematic review and meta-analysis was conducted following PRISMA 2020 guidelines. Randomized controlled trials obtained from PubMed, Scopus, Cinahl, Web Science were included. Studies intervention MCI selected, excluding those without control group or did not measure relevant variables. Methodological quality analyzed PEDro scale applied random-effects models. Results: total 27 studies included this review, which 13 part meta-analysis. showed significant improvements global function (p < 0.001) selective attention = 0.044), but mental flexibility visual attention. Positive effects on life depressive symptoms also reported some studies. Conclusions: MCI, inconsistencies persist its magnitude duration. It is recommended standardize protocols conduct greater methodological rigor long-term follow-up.

Language: Английский

Citations

0

Research hotspots and trends of post-stroke depression rehabilitation: a bibliometric analysis from 2003 to 2024 DOI Creative Commons
Hong Cai, Shun Cai, Aihong Li

et al.

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: April 4, 2025

Background Post-stroke depression (PSD) is a common complication of stroke and associated with prognosis. Rehabilitation plays an essential role in the comprehensive treatment PSD. However, there are few bibliometric analyses studies on PSD rehabilitation. This study aimed to comprehensively sort out network rehabilitation through analyses, analyze research trends, focus hotspots related rehabilitation, provide new perspectives guidance for future studies. Methods The Web Science Core Collection (WoSCC) database was searched about after stroke. search covered period from January 1, 2003, October 31, 2024. We analyzed countries, institutions, journals, authors keywords using CiteSpace VOSviewer software create visualizations perform analysis. Results A total 2,227 papers were analyzed, increasing trend number published each year. United States had highest articles (458 publications), Maastricht University Utrecht most institutions (56 articles). Archives Physical Medicine journal cited publications (5,913 citations). Johanna M. A. prolific author (24 publications). Conclusion Using methods, relevant reviewed. will center brain plasticity mechanism assessment, techniques article provides systematic information support guide this area.

Language: Английский

Citations

0

A bibliometric analysis of electroencephalogram research in stroke: current trends and future directions DOI Creative Commons
Xiaoyu Liao,

Yu‐Er Jiang,

Renjie Xu

et al.

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: April 28, 2025

Electroencephalography (EEG) has become an indispensable tool in stroke research for real-time monitoring of neural activity, prognosis prediction, and rehabilitation support. In recent decades, EEG applications have expanded, particularly areas like brain-computer interfaces (BCI) neurofeedback motor recovery. However, a comprehensive analysis trends this domain is currently unavailable. The study collected data from the Web Science Core Collection database, selecting publications related to 2005 2024. Visual tools such as VOSviewer CiteSpace were utilized build knowledge maps field, analyzing distribution publications, authors, institutions, journals, collaboration networks. Additionally, co-occurrence, clustering, burst detection keywords analyzed detail. A total 2,931 identified, indicating consistent increase stroke, with significant growth post-2017. United States, China, Germany emerged leading contributors, high networks among Western institutions. Key included signal processing advancements, seizure risk consciousness disorder assessment, EEG-driven techniques. Notably, studies focused on integrating machine learning multimodal more precise functional evaluations. findings reveal that evolved diagnostic therapeutic support platform context care. advent deep integration positioned expanded personalized rehabilitation. It recommended future prioritize interdisciplinary standardized methodologies order facilitate clinical adoption enhance translational potential management.

Language: Английский

Citations

0