Comparison of the effects of transcranial direct current stimulation combined with different rehabilitation interventions on motor function in people suffering from stroke-related... by Kaiqi Zheng, Liang Guo, Weidong Liang, Pengcheng Liu

“…The NMA revealed that brain-computer interface therapy (BCIT) in combination with tDCS [surface under the cumulative ranking curve (SUCRA) = 88.34%] was the most effective tDCS-based intervention for improving the Fugl-Meyer Assessment for Upper Extremity score in PSSS. …”
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Does music counteract mental fatigue? A systematic review. by Cong Ding, Soh Kim Geok, He Sun, Samsilah Roslan, Shudian Cao, Yue Zhao

“…The physiological marker of steady-state visually evoked potential-based brain-computer interface (SSVEP-BCI) amplitude increased, confirming that exciting music counteracts mental fatigue more effectively than relaxing music. …”
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The Family Role in the Rehabilitation Process of Children with Cerebral Palsy Using the Biofeedback Technology: a Randomized Controlled Study by Larisa L. Korsunskaya, Viktoria A. Verbenko, Elena A. Birukova, Liliia S. Orekhova, Alexandr A. Dvirskiy

“…To study the effect of rehabilitation of pediatric patients with cerebral palsy using the technology of “non-invasive brain-computer interface-hand exoskeleton” on the physical, mental state of patients and the role of the family in the process of rehabilitation. …”
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Investigating the effect of Arvcf reveals an essential role on regulating the mesolimbic dopamine signaling-mediated nicotine reward by Yan Wang, Zhongli Yang, Xiaoqiang Shi, Haijun Han, Andria N. Li, Bin Zhang, Wenji Yuan, Yan-Hui Sun, Xiao-Ming Li, Hong Lian, Ming D. Li

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Evaluation of pressure-induced pain in patients with disorders of consciousness based on functional near infrared spectroscopy by Tan Zhang, Nan Wang, Nan Wang, Nan Wang, Xiaoke Chai, Xiaoke Chai, Qiheng He, Qiheng He, Tianqing Cao, Tianqing Cao, Liqun Yuan, Qing Lan, Yi Yang, Yi Yang, Yi Yang, Jizong Zhao, Jizong Zhao, Jizong Zhao

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Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI by Weihang Qi, Yi Zhang, Yuwei Su, Zhichong Hui, ShaoQing Li, HaoChong Wang, Jiamei Zhang, Kaili Shi, Mingmei Wang, Liang Zhou, Dengna Zhu

“…Abstract This study aims to compare brain activity differences under the motor imagery-brain-computer interface (MI-BCI), motor imagery (MI), and resting (REST) paradigms through EEG microstate and functional connectivity (FC) analysis, providing a theoretical basis for applying MI-BCI in the rehabilitation of children with cerebral palsy (CP). …”
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Shared genetic architecture and bidirectional clinical risks within the psycho-metabolic nexusResearch in context by Xiaonan Guo, Yu Feng, Xiaolong Ji, Ningning Jia, Aierpati Maimaiti, Jianbo Lai, Zheng Wang, Sheng Yang, Shaohua Hu

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Techniques to mitigate lead migration for percutaneous trials of cervical spinal cord stimulation by Jonathan N. Finney, Isaiah R. Levy, Isaiah R. Levy, Santosh Chandrasekaran, Santosh Chandrasekaran, Santosh Chandrasekaran, Jennifer L. Collinger, Jennifer L. Collinger, Jennifer L. Collinger, Jennifer L. Collinger, Jennifer L. Collinger, Michael L. Boninger, Michael L. Boninger, Michael L. Boninger, Robert A. Gaunt, Robert A. Gaunt, Robert A. Gaunt, Robert A. Gaunt, Robert A. Gaunt, Eric R. Helm, Lee E. Fisher, Lee E. Fisher, Lee E. Fisher, Lee E. Fisher, Lee E. Fisher

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Selección de Canales en Sistemas BCI basados en Potenciales P300 mediante Inteligencia de Enjambre by V. Martínez-Cagigal, R. Hornero

“…Resumen: Los sistemas Brain-Computer Interface (BCI) se definen como sistemas de comunicación que monitorizan la actividad cerebral y traducen determinadas características, correspondientes a las intenciones del usuario, en comandos de control de un dispositivo. …”
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Comparing a BCI communication system in a patient with Multiple System Atrophy, with an animal model by Brian Premchand, Kyaw Kyar Toe, Chuanchu Wang, Kai Rui Wan, Thevapriya Selvaratnam, Valerie Ethans Toh, Wai Hoe Ng, Camilo Libedinsky, Weiguo Chen, Ruiqi Lim, Ming-Yuan Cheng, Yuan Gao, Kai Keng Ang, Rosa Qi Yue So

“…We developed a microelectrode-based Brain-Computer Interface (BCI) for enabling communication in patients affected by paralysis, and implanted it in a patient with Multiple System Atrophy (MSA), a neurodegenerative disease that causes widespread neural symptoms including paralysis. …”
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Global glucose metabolism rate as diagnostic marker for disorder of consciousness of patients: quantitative FDG-PET study by Dongsheng Liu, Dongsheng Liu, Dongsheng Liu, Nan Wang, Nan Wang, Nan Wang, Ming Song, Ming Song, Ming Song, Xiaoke Chai, Xiaoke Chai, Qiheng He, Tianqing Cao, Dawei Kong, Zhuhuan Song, Guangming Zhang, Lei Liu, Xiaosong Wang, Guoqiang Chen, Shaoya Yin, Shaoya Yin, Shaoya Yin, Yi Yang, Yi Yang, Yi Yang, Yi Yang, Yi Yang, Yi Yang, Yi Yang, Yi Yang, Jizong Zhao, Jizong Zhao

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Criminal Law Challenged by Crossing into Virtual Reality by Mahdi Karimi

“…Methodology It can be stated that virtual reality (VR) is an advanced human-computer interface where users, through various devices and connections to a computer or platform, can immerse themselves in three-dimensional virtual experiences. …”
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Neurotechnology for enhancing human operation of robotic and semi-autonomous systems by William J. Tyler, William J. Tyler, Anusha Adavikottu, Christian Lopez Blanco, Archana Mysore, Archana Mysore, Christopher Blais, Marco Santello, Avinash Unnikrishnan

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Neural signals, machine learning, and the future of inner speech recognition by Adiba Tabassum Chowdhury, Ahmed Hassanein, Aous N. Al Shibli, Youssuf Khanafer, Mohannad Natheef AbuHaweeleh, Shona Pedersen, Muhammad E. H. Chowdhury

“…Inner speech recognition (ISR) is an emerging field with significant potential for applications in brain-computer interfaces (BCIs) and assistive technologies. This review focuses on the critical role of machine learning (ML) in decoding inner speech, exploring how various ML techniques improve the analysis and classification of neural signals. …”
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The vagus nerve: a cornerstone for mental health and performance optimization in recreation and elite sports by Christian Lopez Blanco, William J. Tyler, William J. Tyler

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Reward signals in the motor cortex: from biology to neurotechnology by Gerard Derosiere, Solaiman Shokur, Pierre Vassiliadis

“…In this Perspective, we highlight the functional roles of M1 reward signals and propose how they could guide advances in neurotechnologies for movement restoration, specifically brain-computer interfaces and non-invasive brain stimulation. …”
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Human-Robot Interfaces in Exoskeletons for Gait Training after Stroke: State of the Art and Challenges by Claude Lagoda, Juan C. Moreno, Jose Luis Pons

“…Clever anthropometric design and smart brain computer interfaces are key factors in effective exoskeleton design.…”
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Evaluating the Impact of Replay-Based Continual Learning on Long-Term sEMG Pattern Recognition in Instance-Incremental Learning by Yuto Okawa, Suguru Kanoga, Takayuki Hoshino, Shin-Nosuke Ishikawa

“…The field of surface electromyogram (sEMG)-based human-computer interfaces is rapidly evolving through the integration of wearable sensors and deep learning models. …”
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EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach by Eyad Talal Attar

“…The integration of EEG biomarkers with machine learning methods emerges as a potential pathway for real-time cognitive and emotional state monitoring which enables tailored interventions through neurofeedback systems and brain–computer interfaces to boost cognitive function and emotional health across clinical settings and everyday life.…”
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How do voice acoustics affect the perceived trustworthiness of a speaker? A systematic review by Constantina Maltezou-Papastylianou, Constantina Maltezou-Papastylianou, Reinhold Scherer, Silke Paulmann

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