Review
Chemistry, Analytical
Natasha Padfield, Kenneth Camilleri, Tracey Camilleri, Simon Fabri, Marvin Bugeja
Summary: This paper discusses the importance of EEG-based brain-computer interfaces in controlling external devices, especially for people with mobility impairment. It explores the use of endogenous paradigms and the challenges and issues associated with controlling physical devices using BCI technology. The paper provides a comprehensive review and outlook on relevant research.
Article
Clinical Neurology
Ruben Carino-Escobar, Martin E. Rodriguez-Garcia, Ana G. Ramirez-Nava, Jimena Quinzanos-Fresnedo, Emmanuel Ortega-Robles, Oscar Arias-Carrion, Raquel Valdes-Cristerna, Jessica Cantillo-Negrete
Summary: This study reports the upper limb rehabilitation process of a 41-year-old patient who experienced a stroke on the same day as being diagnosed with COVID-19. The patient participated in a clinical trial involving an experimental brain-computer interface therapy during the chronic stage of stroke. The results showed significant improvements in clinical and physiological outcomes, suggesting that patients with COVID-19-related stroke may experience significant recovery even in the chronic stage.
FRONTIERS IN NEUROLOGY
(2022)
Article
Engineering, Biomedical
Daniel R. Kramer, Morgan B. Lee, Michael Barbaro, Angad S. Gogia, Terrance Peng, Charles Liu, Spencer Kellis, Brian Lee
Summary: In this study, the feasibility of using a high-density mECoG grid in a somatosensory BCI system was demonstrated. By stimulating the hand area of the primary somatosensory cortex, it was possible to evoke sensations and record the location and description of perception.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Engineering, Biomedical
Yu Tung Lo, Brian Premchand, Camilo Libedinsky, Rosa Qi Yue So
Summary: By using LDA decoder, this study observed that within individual sessions, points in the LD space encoding different directions tended to diverge, leading to fewer misclassification errors and thus improving task accuracy.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Yucun Zhong, Lin Yao, Yueming Wang
Summary: This study proposes a tactile-assisted calibration method for a motor imagery based BCI system, which significantly improves performance and reduces calibration time. By applying tactile stimulation to the hand wrist, the subjects are assisted in the MI task, resulting in better performance compared to the conventional calibration method.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Engineering, Biomedical
Zhimin Shao, Weibei Dou, Di Ma, Xiaoxue Zhai, Quan Xu, Yu Pan
Summary: This study proposes a new method to more accurately estimate the influence of neuro-intervention on brain damage. By modeling left and right hemiplegia separately, the method shows a 5-15% improvement in accuracy compared to traditional methods, and reveals the common and unique recovery mechanisms after left and right strokes, assisting clinicians in formulating rehabilitation plans.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Clinical Neurology
Simon C. Williams, Hugo Layard Horsfall, Jonathan P. Funnell, John G. Hanrahan, Andreas T. Schaefer, William Muirhead, Hani J. Marcus
Summary: This study examined the acceptability and attitudes towards invasive brain-computer interfaces (BCIs) among the neurosurgical team. The results showed a lack of basic knowledge about BCI technology, but a high level of acceptance for invasive BCIs for rehabilitative purposes. However, there was divided opinion on the use of invasive BCIs in healthy populations.
WORLD NEUROSURGERY
(2022)
Article
Multidisciplinary Sciences
Luca Tonin, Serafeim Perdikis, Taylan Deniz Kuzu, Jorge Pardo, Bastien Orset, Kyuhwa Lee, Mirko Aach, Thomas Armin Schildhauer, Ramon Martinez-Olivera, Jose del R. Millan
Summary: The study shows that tetraplegic spinal-cord injury users can be trained to operate a non-invasive thought-controlled wheelchair for complex navigation tasks, but only those with increasing decoding performance and feature discriminancy achieved high navigation performance. Additionally, dexterous control of robots is possible through shared-control methodologies.
Review
Health Care Sciences & Services
Yixin Ma, Anmin Gong, Wenya Nan, Peng Ding, Fan Wang, Yunfa Fu
Summary: Brain-computer interfaces (BCIs) are a new technology that revolutionizes traditional human-computer interaction by directly accessing control signals from users' brains. However, the individual differences in physiology, mental states, perception, cognition, and brain functions make it necessary to customize personalized BCIs for specific users. This study focuses on defining personalized BCIs, detailing their design, development, evaluation methods, and applications, as well as discussing the challenges and future directions. It is expected to provide useful insights for innovative research and practical applications of personalized BCIs.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Chemistry, Multidisciplinary
Catalin Dumitrescu, Ilona-Madalina Costea, Augustin Semenescu
Summary: This paper investigates signal processing methods for the implementation of a brain-computer interface based on neurological phenomena during motor tasks. The research aims to allow users to manipulate virtual structures through brain activity, correlating with specific mental tasks. The results show that the use of biopotentials in human-computer interfaces is a viable method for applications in the field of BCI, with potential for improving cognitive performance.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Biomedical
Guoxuan Ma, Jian Kang, David E. Thompson, Jane E. Huggins
Summary: This article introduces an evaluation metric for Brain-Computer Interfaces (BCIs) that considers the asynchronous features of self-paced BCIs. The metric takes into account factors such as accuracy, selection time, and the proportion of selections and abstentions. The validity of the metric is established through simulations, and it is found that shortening the selection time is crucial for improving BCI performance.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Engineering, Biomedical
Yucun Zhong, Lin Yao, Ji Wang, Yueming Wang
Summary: In this study, a tactile sensation assisted motor imagery training method is proposed to improve the performance of MI-based BCI. The training group received training with tactile stimulation, while the control group performed regular tasks. The results showed that the proposed training method significantly improved the performance of motor imagery.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Automation & Control Systems
Chin-Teng Lin, Tien-Thong Nguyen Do
Summary: BCIs allow users to communicate with external devices via brain signals. Wearable computers combine virtual/augmented/mixed reality experiences for entertainment, health monitoring, and research. Despite the potential of BCIs, adoption is slow due to the unnatural interaction and slower feedback compared to our brains.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Ujwal Chaudhary, Ioannis Vlachos, Jonas B. Zimmermann, Arnau Espinosa, Alessandro Tonin, Andres Jaramillo-Gonzalez, Majid Khalili-Ardali, Helge Topka, Jens Lehmberg, Gerhard M. Friehs, Alain Woodtli, John P. Donoghue, Niels Birbaumer
Summary: This study found that ALS patients in a completely locked-in state can still communicate through neural-based control, indicating that they might be able to achieve independent communication through the brain.
NATURE COMMUNICATIONS
(2022)
Article
Engineering, Biomedical
Yonghao Song, Qingqing Zheng, Qiong Wang, Xiaorong Gao, Pheng-Ann Heng
Summary: Due to individual difference, it is difficult to decode the mental intentions of a target subject using EEG signals from other subjects. Existing transfer learning methods have limitations in feature representation and long-range dependencies. To address these limitations, the Global Adaptive Transformer (GAT) is proposed, which utilizes source data for cross-subject enhancement. GAT employs parallel convolution to capture temporal and spatial features, and an attention-based adaptor to transfer source features to the target domain. Experimental results show that GAT outperforms state-of-the-art methods, primarily due to the effectiveness of the adaptor. This indicates that GAT has great potential in enhancing the practicality of BCI.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Rehabilitation
Kazuki Ito, Shintaro Uehara, Akiko Yuasa, Chang Man Kim, Shin Kitamura, Kazuki Ushizawa, Shigeo Tanabe, Yohei Otaka
Summary: A novel electromyography-controlled gamified exercise system was developed to allow post-stroke patients to perform repetitive movements with enjoyment. The system was found to have excellent usability and satisfied user satisfaction, motivating patients with a wide range of paretic levels to engage in repetitive finger and wrist movements.
DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY
(2023)
Article
Engineering, Biomedical
Seigo Inoue, Yohei Otaka, Masashi Kumagai, Masafumi Sugasawa, Naoki Mori, Kunitsugu Kondo
Summary: The study found that adding balance exercises using the BEAR to conventional inpatient rehabilitation can improve balance in patients with subacute stroke.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Article
Neurosciences
Itaru Yazawa, Shuntaro Okazaki, Shigefumi Yokota, Kotaro Takeda, Isato Fukushi, Masashi Yoshizawa, Hiroshi Onimaru, Yasumasa Okada
Summary: The study suggests that putative astrocytes and neurons in the ventral horn of the spinal cord may play a crucial role in maintaining synaptic function and metabolism to generate rhythms and patterns of locomotor-like activity by communicating with central pattern generator networks.
NEUROSCIENCE LETTERS
(2022)
Article
Rehabilitation
Tsuyoshi Tatemoto, Masahiko Mukaino, Nobuhiro Kumazawa, Shigeo Tanabe, Koji Mizutani, Masaki Katoh, Eiichi Saitoh, Yohei Otaka
Summary: Two successful telerehabilitation cases were presented in this report, one facing language barrier and the other complete deafness. The language barrier was overcome using Google Translate, while cue cards were used for the deaf patient. Both patients expressed high satisfaction with the telerehabilitation programme, emphasizing the importance of using supplementary methodologies to overcome communication barriers.
DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY
(2022)
Article
Rehabilitation
Kazuki Ushizawa, Yohei Otaka, Shin Kitamura, Seigo Inoue, Sachiko Sakata, Kunitsugu Kondo, Masahiko Mukaino, Eiji Shimizu
Summary: This study aimed to develop a new assessment form for therapists to evaluate the performance of stroke survivors in public transportation use through content validation. The Public Transportation use Assessment Form (PTAF) was successfully developed through three validation processes and consists of four categories and 15 items. The PTAF can assess the ability of public transportation use for stroke survivors and identify specific problems in a clinical setting.
DISABILITY AND REHABILITATION
(2023)
Article
Neurosciences
Isato Fukushi, Shigefumi Yokota, Kotaro Takeda, Jiro Terada, Akira Umeda, Masashi Yoshizawa, Yosuke Kono, Yohei Hasebe, Hiroshi Onimaru, Mieczyslaw Pokorski, Yasumasa Okada
Summary: This study investigates the effects of the insomnia drug Suvorexant on the respiratory system and shows the involvement of orexin in respiratory control. Suvorexant suppresses the augmented ventilation in hypercapnia, but does not affect ventilation.
Article
Rehabilitation
Shin Kitamura, Yohei Otaka, Kazuki Ushizawa, Seigo Inoue, Sachiko Sakata, Kunitsugu Kondo, Masahiko Mukaino, Eiji Shimizu
Summary: The reliability and validity of the public transportation use assessment form (PTAF) were examined in this study. The results showed sufficient internal consistency, inter-rater reliability, and construct validity of the PTAF.
DISABILITY AND REHABILITATION
(2023)
Article
Health Care Sciences & Services
Atsumi Takeo, Hideto Okazaki, Kotaro Takeda, Yuki Nakagawa, Shigeru Sonoda
Summary: This study aimed to develop a system for measuring trunk and pelvis range of motion (ROM) during wheelchair propulsion and to assess the reproducibility of posture changes and cyclic fluctuations. Motion recorders were attached to the sternum and pelvis of fifteen healthy adults, and a pressure sensor was attached to the right heel. Results showed intraclass correlation coefficients of maximum, minimum, and amplitude of cyclic variation ranging from 0.65 to 0.84.
TECHNOLOGY AND HEALTH CARE
(2023)
Article
Engineering, Industrial
Soichiro Koyama, Tsuyoshi Tatemoto, Nobuhiro Kumazawa, Shigeo Tanabe, Yuki Nakagawa, Yohei Otaka
Summary: This study assessed the operability of various-shaped joysticks in young and older adults operating electric-powered wheelchairs. Although there were no significant differences between joysticks, the I-shaped joystick with rounded tips was ranked highest in terms of operability. Young adults displayed better movement time and driving accuracy compared to older adults.
APPLIED ERGONOMICS
(2023)
Article
Clinical Neurology
Hiroki Hamajima, Jose Gomez-Tames, Shintaro Uehara, Yohei Otaka, Satoshi Tanaka, Akimasa Hirata
Summary: This study computationally investigated the effects of tDCS montage on the lower limbs by evaluating the electric field intensity, polarity, and co-stimulation of cortical areas using high-resolution head models. The results showed that the C1-C2 montage delivered higher electric field intensities and reached deeper regions of the lower-limb motor area. It also resulted in uniform polarization on the same hemisphere target with comparable intensities between hemispheres but with higher variability. In conclusion, proper montage selection is important for targeting deeper regions and achieving uniform polarization in the lower-limb motor area. Significance: 8/10.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Neurosciences
Shin Kitamura, Yohei Otaka, Yudai Murayama, Kazuki Ushizawa, Yuya Narita, Naho Nakatsukasa, Daisuke Matsuura, Kunitsugu Kondo, Sachiko Sakata
Summary: This study aimed to assess the difficulty of toileting tasks upon admission and the reacquisition of skills during hospitalization. Results showed that the most difficult tasks upon admission were locking the wheelchair brakes, turning while standing, pulling down lower garments, turning after urination/defecation, pulling up and adjusting lower garments, and maintaining a standing position before urination/defecation. The most difficult tasks for those who became independent during hospitalization were disposing of incontinence pad/sanitary items, pressing the nurse call button after urination/defecation, taking the foot off the footrest and placing it on the ground, and cleaning up after urination/defecation.
JOURNAL OF STROKE & CEREBROVASCULAR DISEASES
(2023)
Article
Neurosciences
Isato Fukushi, Keiko Ikeda, Kotaro Takeda, Masashi Yoshizawa, Yosuke Kono, Yohei Hasebe, Mieczyslaw Pokorski, Yasumasa Okada
Summary: Severe hypoxia can induce seizures and worsen the state of the affected individuals. Recent studies have shown that brain microglia are involved in both respiratory and ictal processes. This study investigated the interaction between microglia and hypoxia-induced seizures using mice as a model.
FRONTIERS IN NEURAL CIRCUITS
(2023)
Letter
Rehabilitation
Koji Mizutani, Yohei Otaka, Masaki Kato, Miwako Hayakawa, Megumi Ozeki, Hirofumi Maeda, Satoshi Hirano, Masahiko Mukaino, Seiko Shibata, Hitoshi Kagaya, Hiroaki Sakurai, Eiichi Saitoh
ANNALS OF PHYSICAL AND REHABILITATION MEDICINE
(2023)
Article
Neurosciences
Shintaro Uehara, Akiko Yuasa, Kazuki Ushizawa, Shin Kitamura, Kotaro Yamazaki, Eri Otaka, Yohei Otaka
Summary: This study investigated the kinematic parameters of reaching toward different directions in individuals with poststroke hemiparesis during the subacute phase. The results revealed that the direction of aiming influenced the quality and quantity of reaching performance, irrespective of the presence or severity of hemiparesis.
JOURNAL OF NEUROPHYSIOLOGY
(2023)
Article
Rehabilitation
Soichiro Koyama, Shigeo Tanabe, Yohei Otaka, Tomoya Kato, Shotaro Furuzawa, Tsuyoshi Tatemoto, Nobuhiro Kumazawa, Hiroshi Yoshimuta, Katsuhiko Torii, Shingo Tsukada, Eiichi Saitoh
Summary: The novel lateral transfer assist robot facilitates easier transfers compared with a wheelchair in post-stroke hemiparesis patients, improving independence.
DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY
(2022)
