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A Bibliometric Analysis of EEG-Based Brain Training and Robotic Feedback Integration in Motor Control Research Juswanto, Gerard Anthonius; Gracia, Anne; Wojtila, Maria Caroline; Lakusa, Tim Valentino; Yudha, Rivo Panji; Donggorables, Sandra Yap; Saleh, RM Pangeran; R, Retnaningsih; Hidayah, Ujan Taufik; Tammase, Jumraini; Tugasworo, Dodik; S, Syahrul
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 6 (2025): July 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.16724159

Abstract

Background and Objective: The integration of EEG-based brain training with robotic feedback systems represents an emerging paradigm in motor control research and neurorehabilitation. This study provides the first comprehensive bibliometric analysis to map the intellectual structure, research trends, and collaboration patterns in this rapidly evolving interdisciplinary field.Methods: A systematic bibliometric analysis was conducted using Scopus and Web of Science databases, identifying 197 relevant publications from 2015 to 2025. Data extraction included complete bibliographic records, citation metrics, and keyword assignments. Analysis was performed using VOSviewer for network visualization, Biblioshiny for comprehensive bibliometric computations, and statistical analysis for temporal trends, geographic distribution, author productivity, and thematic clustering.Results: The field demonstrated exponential growth with peak output in 2022 (40 publications, 185.7% increase). Publications achieved exceptional citation impact (average 49.0 citations per paper) with 19 papers receiving >100 citations. Five distinct research clusters were identified: EEG-based brain training, robotic rehabilitation systems, clinical stroke applications, brain-computer interface technology, and motor control learning. Singapore emerged as the leading research hub (16.2% of publications) despite small geographic size, while international collaboration rates (69.2%) significantly exceeded typical biomedical research patterns. Stroke rehabilitation dominated clinical applications, with open-access venues (particularly Frontiers journals) representing primary publication channels.Conclusions: EEG-robotic integration research has successfully transitioned from an emerging area to an established interdisciplinary field with sustained research momentum and global collaborative networks. The findings provide strategic guidance for research institutions, funding agencies, and policymakers, recommending prioritization of international partnerships, coordinated infrastructure development, and focused clinical implementation in stroke rehabilitation while expanding to other neurological conditions.
Bridging Narratives And Neural Rhythms: Qeeg-Guided Storytelling Stimulus With Erodeo For Cognitive Development Wojtila, Maria Caroline; Juswanto, Gerard Anthonius; Gracia, Anne; Yudha, Rivo Panji
International Journal of Health Sciences Vol. 3 No. 3 (2025): IJHS : International Journal of Health Sciences
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/ijhs.v3i3.750

Abstract

Background: Traditional language development interventions for young children often lack personalization and fail to integrate objective neurological data with engaging therapeutic experiences. This study explored children's lived experiences with qEEG-guided storytelling therapy using the innovative Erodeo platform to understand how real-time neural feedback integration with adaptive narratives influences language development processes in early childhood. Methods: A qualitative phenomenological design was employed with 16 children aged 4-8 years who completed qEEG-guided storytelling sessions over a minimum six-week period. Data were collected through child-friendly interviews, parent interviews, and observational sessions, analyzed using adapted phenomenological methods suitable for pediatric populations. Participants were recruited through purposive sampling from pediatric speech therapy centers and early childhood development clinics. Results: Six major themes emerged from the analysis: (1) embodied language awareness - direct felt experience of speech production; (2) immersive narrative engagement - collaborative storytelling enhancing vocabulary acquisition; (3) real-time articulation consciousness - awareness of speech clarity improvements; (4) vocabulary expansion and semantic understanding - enriched word knowledge and usage; (5) communication confidence and social integration - improved expressive abilities; and (6) playful learning empowerment - active participation in language development. Children demonstrated significant improvements in vocabulary acquisition, articulation clarity, and communication confidence. Conclusions: qEEG-guided storytelling therapy facilitates multidimensional language development through personalized, child-centered interventions that honor both objective neurological processes and subjective developmental experiences. This approach offers significant potential for advancing pediatric language intervention by creating dynamic therapeutic environments that adapt to children's developmental needs and learning styles.