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All Journal BALI MEDICAL JOURNAL (BMJ) SOEPRA Jurnal Hukum Kesehatan Medica Hospitalia Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Jurnal Health Sains Diponegoro International Medical Journal (DIMJ) Madani: Multidisciplinary Scientific Journal Neurona Seroja Husada: Jurnal Kesehatan Masyarakat
Dodik Tugasworo
Department of Neurology Faculty of Medicine, University of Diponegoro
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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.
Optimizing Brain-Computer Interfaces for Methampetamine Use Disorder through Quantitative Electroencephalography (QEEG) and Transcranial Doppler Analysis: Article Review Caroline, Maria; Syahrul, Syahrul; Tugasworo, Dodik; Retnaningsih, Retnaningsih; Juswanto, Gerard
Jurnal Health Sains Vol. 5 No. 9 (2024): Journal Health Sains
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jhs.v5i9.1372

Abstract

A Brain-Computer Interface (BCI) is a system that allows a person to control external devices using only their brain activity. It works by translating brain signals into commands that can be understood by a computer. Several lines of evidence demonstrated the deleterious effect of methamphetamine (MA) on neurological and psychological functions. The use of amphetamines, such as MA, is associated with cerebrovascular complications such as cerebrovascular accidents (CVA) ,hemorrhage, hypoxic damage and vasculitis. Interestingly, while changes to cerebral blood flow (CBF) in response to acute amphetamine exposure have been reported. Transcranial Color Doppler (TCCD) is a non-invasive medical imaging technique that uses ultrasound waves to measure blood flow velocity in the major arteries of the brain, specifically within the circle of Willis. The research paper you referenced explores the use of TCCD as a potential measurement modality for BCIs. Quantitative electroencephalogram (qEEG) is a powerful tool for understanding brain function qEEG can reveal specific brain wave patterns associated with drug addiction, potentially providing insights into the neurobiological mechanisms underlying cravings, withdrawal symptoms, and relapse risk in Methamphetamine User Disorder (MUD). There is growing research interest in using Transcranial dopller as a measurement modality for BCIs.Here are some of the key considerations for using Transcranial doppler in BCIs: Mental Tasks, signal processing and classification, accuracy and reliability. Transcranial doppler provides information about blood flow in specific arteries but lacks detailed spatial information about brain activity. These patterns could vary depending on the type of drug, the severity of addiction, and individual differences. Transcranial doppler in measuring middle cerebral artery (MCA) blood flow velocity parameters (peak systolic velocity (PSV) and mean flow velocity (MFV)). qEEG can help researchers investigate the complex interplay between addiction and other brain disorders, like depression or anxiety. Characteristic qEEG in drugs addiction Increased Theta (4-8 Hz) and delta (1-4 Hz) brain waves are often associated with sleep and relaxation. However, research has shown that individuals with drug addiction may have increased theta and delta activity, particularly in the frontal and temporal regions of the brain. Altered Beta (13-30 Hz) brain waves are generally associated with wakefulness, alertness, and cognitive processing. Studies have observed both increases and decreases in beta activity in individuals with drug addiction, depending on the type of drug, the stage of addiction, and the specific brain regions being examined. The results of this research have important practical implications for building an diagnostic and functional assement with a better understanding of an using technology.
Co-Authors -, Retnaningsih A.A. Ketut Agung Cahyawan W Agung, Locoporta Amin Husni Andhitara, Yovita Andhitara, Yovita Andhitara Andi Kurnia Bintang, Andi Kurnia Ardhini, Rahmi Ariani, Susanti Dwi Aris Catur Bintoro Aris Sudiyanto Arlina, Yani Atmaja, Diana Basuki, Mudjiani Budi Riyanto Wreksoatmodjo, Budi Riyanto Budisulistyo, Trianggoro Caroline, Maria Daynuri Daynuri, Daynuri Dede Gunawan, Dede Dewi, Amalia Andansari Diah Pasmanasari, Elta Donggorables, Sandra Yap Dwi Pudjonarko Endang Kustiowati Endang Wahyati Yustina, Endang Wahyati Fakih, Mohamad Firli Bramantyo, Dion Fithrie, Aida Fritz Sumantri Usman, Fritz Sumantri Gracia, Anne H. Harsono, H. Hakim, Manfaluthy Hamdani, Faishol Hardian Hardian Harianto, Erlangga Pradipta Hartono, Jimmy Eko Budi Hertanto Wahyu Subagio Hidayah, Ujan Taufik Iva Puspitasari, Iva Jethro Budiman, Jethro Jimmy Barus, Jimmy Juswanto, Gerard Juswanto, Gerard Anthonius Kurnianto, Aditya Kurnianto, Aditya Kurnianto Lakusa, Tim Valentino Lukman, Petrin Redayani Maharatih, Gusti Ayu Mohammad Hasan Machfoed Muhammad Hasnawi Haddani Nani Kurniani Natalia Dewi Wardani Pagan Pambudi Pasmanasari, Elta Diah Priambada, Dody Pudjanarko, Dwi Puspitawati, Arinta R, Retnaningsih Rahmawati, Dani Rahmawati, Maria Belladonna Rahmayanti Rahmayanti Retnaningsih Retnaningsih Retnaningsih Rivo Panji Yudha Riza Sulthan, Riza Rizaldy Pinzon Rusdi Lamsudin, Rusdi Saleh, RM Pangeran Samekto, Maria Immaculata Widiastuti Septiawan, Debree Suprapti, Rini Suryadi Suryadi Suryadi Suryawati, Herlina Susan Megawati Sibuea Susilo, Kezia Natalia Daniast syahrul s, syahrul Syahrul Syahrul Tamad, Fatiha Sri Utami Tammase, Jumraini Tikalaka, Elisabeth Romana Tri Rahayu, Fitriani Tsaniadi Prihastomo, Krisna Wahyuntara, Jaka Kusnanta Widiastuti Samekto, Maria Imakulata Widiastuti, Maria Immaculata Wojtila, Maria Caroline Wuysang, Audry Devisanty