Article
Computer Science, Artificial Intelligence
Paula Soriano-Segura, Eduardo Ianez, Mario Ortiz, Vicente Quiles, Jose M. Azorin
Summary: This study proposes a new method based on EEG signals to detect the intention to change direction during gait, providing more accurate and natural use of external devices, with promising potential for future BCIs.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Article
Neurosciences
Vadivelan Ramu, Kishor Lakshminarayanan
Summary: The purpose of this study was to evaluate the effect of vibrotactile stimulation prior to repeated complex motor imagery of finger movements using the non-dominant hand on motor imagery performance. The results showed that motor imagery performance was better in terms of event-related desynchronization and digit classification with vibrotactile stimulation compared to without stimulation.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Engineering, Biomedical
Marta Borras, Sergio Romero, Joan F. Alonso, Alejandro Bachiller, Leidy Y. Serna, Carolina Migliorelli, Miguel A. Mananas
Summary: This study assessed the effect of a limited number of trials on motor-related activity during upper limb movements. The findings suggested that 50 trials can be an appropriate number to obtain stable motor-related features.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Lin Yao, Ning Jiang, Natalie Mrachacz-Kersting, Xiangyang Zhu, Dario Farina, Yueming Wang
Summary: This study proposes a method to reduce the calibration time in somatosensory brain-computer interfaces by using tactile-induced oscillation. The results show that the performance of the sensory calibration is significantly better than the conventional calibration, with an average 5.1% improvement in accuracy and a 39.3% faster reaching of above 70% accuracy.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Engineering, Biomedical
Chase Haddix, Amir F. Al-Bakri, Sridhar Sunderam
Summary: This study aimed to decode the degree of effort in specific movement tasks using EEG signals in a BCI system to produce more flexible command signals. Results showed that ERD signals could predict grip force levels, hinting at potential applications in rehabilitative protocols for motor impairments.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Satoshi Shibuya, Yukari Ohki
Summary: During the rubber hand illusion, participants perceive a fake hand as their own if the real hand and the fake hand are stroked synchronously and placed in the same position. Using EEG and mirror settings, researchers compared sensorimotor activation during the observation of embodied and non-embodied rubber hands. The results showed that there was a greater and more persistent sensorimotor activation during the movement of the embodied rubber hand, indicating ownership-dependent activation.
Article
Neurosciences
Makoto Uji, Nathan Cross, Florence B. Pomares, Aurore A. Perrault, Aude Jegou, Alex Nguyen, Umit Aydin, Jean-Marc Lina, Thien Thanh Dang-Vu, Christophe Grova
Summary: Simultaneous recording of EEG and fMRI is a promising non-invasive neuroimaging method, but EEG data is often affected by MRI-related artefacts, particularly the BCG artefact. In this study, a beamforming technique was used to attenuate BCG artefacts and recover task-based brain activity during an attentional network task. The findings demonstrate that the beamforming approach significantly reduces BCG artefacts and improves the recovery of meaningful brain signals compared to the standard AAS correction.
HUMAN BRAIN MAPPING
(2021)
Article
Biochemistry & Molecular Biology
Natalya V. Ponomareva, Tatiana V. Andreeva, Maria S. Protasova, Svetlana S. Kunizheva, Irina L. Kuznetsova, Ekaterina P. Kolesnikova, Daria D. Malina, Andrey A. Mitrofanov, Vitaly F. Fokin, Sergey N. Illarioshkin, Evgeny I. Rogaev
Summary: The CC genotype of the clusterin (CLU) rs11136000 gene is a probable risk factor for Alzheimer's disease (AD), similar to the well-established relationship of the apolipoprotein E (APOE) gene with AD. This study aimed to determine if the electrophysiological patterns of brain activation during the letter fluency task (LFT) depend on CLU genotypes. The results show that the CLU genotype is associated with neuronal hyperactivation in the frontal cortex during cognitive task performances in nondemented individuals, suggesting systematic vulnerability of LFT related cognitive networks in people carrying unfavorable CLU alleles.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Engineering, Biomedical
Houmin Wang, Huixian Zheng, Hanrui Wu, Jinyi Long
Summary: Previous studies have shown that corticocortical neural mechanisms differ across different grasping behaviors. However, little research has investigated corticocortical contributions to imagined grasping behaviors. In this study, we used transcranial magnetic stimulation (TMS) to explore the mechanisms of imagined grasping behaviors through a brain-computer interface (BCI) system. We found that imagined power grip resulted in larger MEP amplitudes and shorter latencies compared to resting. Additionally, there were differences in MEP amplitudes and latencies between imagined power grip and precision grip/index finger abduction. Our findings suggest differences in cortical excitability and synaptic inputs during imagined grasping behaviors.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Zhongliang Yu, Lili Li, Zhizhong Wang, Hangyuan Lv, Jinchun Song
Summary: This study explores the impact of visual task stimulus on motor imagery during continuous training, revealing its positive influence on motor performance improvement and the complexity of event-related lateralization in motor imagery.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2022)
Article
Neurosciences
Federica Turi, Maureen Clerc, Theodore Papadopoulo
Summary: In a Mental Imagery Brain-Computer Interface, users must undergo extensive training to improve their ability to control the system effectively. This study introduces a MI-BCI that combines mental imagery and cognitive tasks for severely motor impaired users, participating in the BCI race of the Cybathlon event.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Psychology, Biological
Enru Lin, Laure Freydefont, Petra C. Schmid
Summary: The study found that participants with high power used fewer cognitive resources during task completion compared to low-power participants, but task performance did not differ significantly between groups. High-power individuals demonstrated greater cognitive efficiency rather than investing more resources. Performing tasks efficiently can help individuals with power deal with their work and responsibilities.
Review
Engineering, Biomedical
Aline Roc, Lea Pillette, Jelena Mladenovic, Camille Benaroch, Bernard N'Kaoua, Camille Jeunet, Fabien Lotte
Summary: MT-BCIs allow users to interact with external devices using only brain signals, but their reliability needs improvement. Users need to develop the ability to self-regulate specific brain signals, but the learning process is not well understood. Human factors should be considered and an interdisciplinary approach should be adopted for optimal training.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Ruikai Li, Yixing Zhang, Guangwei Fan, Ziteng Li, Jun Li, Shiyong Fan, Cunguang Lou, Xiuling Liu
Summary: A portable EEG recorder with 32 channels has been designed, which can meet the demands of scalp and intracranial EEG signal recording. The experimental results show that the recorder provides a maximum sampling rate of 30 kHz and wireless transmission rate of 58 Mbps, and it has a good performance in capturing brain activity signals.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Soo-In Choi, Ji-Yoon Lee, Ki Moo Lim, Han-Jeong Hwang
Summary: This study demonstrated the feasibility and reliability of using ear-EEG for the development of real-time endogenous BCIs in online environments. However, further studies are needed to improve its performance for practical applications.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Behavioral Sciences
Alejandro Garcia-Rudolph, Joan Sauri, Alberto Garcia-Molina, Blanca Cegarra, Eloy Opisso, Josep Maria Tormos, Dietmar Frey, Vince Istvan Madai, Montserrat Bernabeu
Summary: This study compared the levels of stress in emotional and behavioral aspects reported by informal family caregivers of individuals with chronic traumatic brain injury or stroke before and during the COVID-19 pandemic, taking into consideration the cause and severity of the recipients of care. The results suggest that specific support could be provided to informal caregivers based on the cause or severity of the care recipients.
BRAIN AND BEHAVIOR
(2022)
Article
Engineering, Biomedical
Hannah S. Pulferer, Brynja Asgeirsdottir, Valeria Mondini, Andreea Sburlea, Gernot R. Muller-Putz
Summary: This study investigates the correlation and effectiveness of continuous movement decoding based on attempted movement in both able-bodied participants and spinal cord injured participants. High correlations were observed in attempted movement decoding in able-bodied participants without a learning effect. In the spinal cord injured participant, the attempted movement decoding showed high correlations and may be a potential method for application in motor-impaired end users.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Rehabilitation
Alejandro Garcia-Rudolph, Mark Andrew Wright, Emilien Amar Devilleneuve, Eulalia Castillo, Elena Hernandez-Pena, Eloy Opisso, Josep Maria Tormos
Summary: This study aimed to determine the characteristics of falls in inpatients with spinal cord injury (SCI) and compare the differences between ambulatory persons and wheelchair users. The results showed that 19.8% of patients experienced a fall event, with significant differences in the cause, situation, and location of falls between the two groups. The visualization of falls by clock-hour revealed an absolute peak at 12 AM and a relative peak at 9 AM. Fallen patients reported higher levels of depression, lower spinal cord independence, and longer time since injury to admission. This study is important for developing targeted prevention strategies for inpatients with SCI.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2023)
Article
Neurosciences
Elisabeth V. C. Friedrich, Imme C. Zillekens, Anna Lena Biel, Dariusz O'Leary, Johannes Singer, Eva Victoria Seegenschmiedt, Paul Sauseng, Leonhard Schilbach
Summary: Predicting actions from non-verbal cues and optimising one's response behaviour is crucial in social interactions. This study investigated the neural correlates of cognitive processes during interpersonal predictive coding, revealing dynamic patterns over time. Watching communicative actions led to enhanced coupling in social and mentalising regions, while trying to detect agents in noise dots increased coupling in posterior regions for visual processing. Expected outcomes were modulated by motor system activation, and correctly identifying agents increased activation in visual processing areas. Understanding the temporal dynamics of social interactions and their neural correlates can lead to improved treatment for individuals with social interaction problems.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2023)
Article
Multidisciplinary Sciences
Maria Masbernat-Almenara, Francesc Rubi-Carnacea, Eloy Opisso, Esther Duarte-Oller, Josep Medina-Casanovas, Fran Valenzuela-Pascual
Summary: This study developed a reliable 10-item questionnaire to assess the usability of assistive technologies for people with neurological diseases. The questionnaire was evaluated for reliability, validity, and consistency using the Delphi method, content validity, and the Rasch model. The results showed that the questionnaire is a subjective and quick assessment tool for evaluating the usability of assistive technologies.
Article
Engineering, Biomedical
Shayan Jalilpour, Gernot Mueller-Putz
Summary: The objective of this study is to investigate whether the brain perceives postural instability as a cognitive error by imposing two types of perturbations consisting of erroneous and correct perturbations. The main findings indicated that early cortical responses of balance perturbation are not associated with neural error processing of the brain, and errors induce distinct cortical responses that are distinguishable from brain dynamics of N1 potential.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Mark Andrew Wright, Franziska Herzog, Anna Mas-Vinyals, Alfons Carnicero-Carmona, Joan Lobo-Prat, Cornelia Hensel, Steffen Franz, Norbert Weidner, Joan Vidal, Eloy Opisso, Ruediger Rupp
Summary: This study aimed to investigate the safety, feasibility, and usability of the ABLE Exoskeleton for individuals with spinal cord injury in clinical settings. The results show that safe gait training with the ABLE Exoskeleton in hospital settings improves clinical outcomes for persons with SCI. The study protocol allows for consistent comparison with other exoskeleton trials and can serve as a framework for standardizing early clinical evaluations.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Clinical Neurology
Alejandro Garcia-Rudolph, Mark Wright, Loreto Garcia, Joan Sauri, Blanca Cegarra, Josep Maria Tormos, Eloy Opisso
Summary: Being able to survive independently in the long-term is a concern for patients with spinal cord injury (SCI), their relatives, and healthcare providers. Previous studies have focused on predicting functional dependency within one year after injury.
JOURNAL OF SPINAL CORD MEDICINE
(2023)
Article
Chemistry, Analytical
Nitikorn Srisrisawang, Gernot R. Mueller-Putz
Summary: This study investigated the transfer learning of the brain-computer interface (BCI) system in continuous hand trajectory decoding, aiming to reduce calibration time. Data from a study with 10 able-bodied participants across three sessions were reanalyzed. Different scenarios and models trained with sensor-space or source-space features were considered. The results showed that the decoding performance was lower than chance level in generalized models, and there was no significant improvement in individual models with cumulative update. The best correlation was achieved with the sensor-space individual model.
Article
Rehabilitation
Alejandro Garcia-Rudolph, Joan Sauri, Katryna Cisek, John D. D. Kelleher, Vince Istvan Madai, Dietmar Frey, Eloy Opisso, Josep Maria Tormos, Montserrat Bernabeu
Summary: This study investigated the relationship between inpatient rehabilitation variables and long-term community integration among stroke patients. Three different trajectories of rehabilitation were identified: lowest community integration, highest community integration, and intermediate community integration. Baseline factors such as age, functional independence measure, hypertension, length of stay, and education level were found to predict long-term community integration trajectories.
TOPICS IN STROKE REHABILITATION
(2023)
Article
Chemistry, Multidisciplinary
Alejandro Garcia-Rudolph, David Sanchez-Pinsach, Dietmar Frey, Eloy Opisso, Katryna Cisek, John D. Kelleher
Summary: Social media plays a crucial role in communication, and Natural Language Processing techniques, such as word embeddings, help us understand the context. This study collected a large number of posts from the Coronavirus forum on Reddit and used the Word2Vec model to discover contextual associations with different emotions. This research is important for expanding concepts like psychological resilience.
APPLIED SCIENCES-BASEL
(2023)
Article
Education & Educational Research
Alex Castan, Eloy Opisso, Andres Chamarro, Kathleen A. Martin Ginis, Joan Sauri
Summary: No existing Spanish-language tool was available to assess physical activity in people with spinal cord injuries. This study aimed to provide a valid Spanish version of the Physical Activity Recall Assessment for People with Spinal Cord Injury (PARA-SCI). The study consisted of three phases: translation and cross-cultural adaptation, reliability assessment, and validity assessment comparing PARA-SCI-Spanish with wearable sensors and known groups. The results showed that PARA-SCI-Spanish was a reliable and valid tool for both telephone and face-to-face interviews.
MEASUREMENT IN PHYSICAL EDUCATION AND EXERCISE SCIENCE
(2023)
Article
Biology
Davide Borra, Valeria Mondini, Elisa Magosso, Gernot R. Mueller-Putz
Summary: This study aims to decode hand kinematics (position and velocity) in Brain-Computer Interfaces (BCIs) using an interpretable convolutional neural network (ICNN). The ICNN outperformed other decoders, balancing performance, size, and training time. It also allowed interpretation of the most relevant spectral and spatial features.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Editorial Material
Neurosciences
Elisabeth V. C. Friedrich, Christa Neuper, Reinhold Scherer
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Critical Care Medicine
Alejandro Garcia-Rudolph, Mark Andrew Wright, Emilien Amar Devilleneuve, Eulalia Castillo, Eloy Opisso, Josep Maria Tormos, Elena Hernandez
Summary: This study compared fall characteristics between stroke and traumatic brain injury patients during rehabilitation and found that different patient groups exhibited different fall behaviors and temporal patterns, which can contribute to the development of effective management protocols to mitigate fall risk in these patients.
JOURNAL OF TRAUMA NURSING
(2023)
