Article
Clinical Neurology
Lorenzo Rocchi, Alessandro Di Santo, Katlyn Brown, Jaime Ibanez, Elias Casula, Vishal Rawji, Vincenzo Di Lazzaro, Giacomo Koch, John Rothwell
Summary: The study aims to measure the separate contributions of auditory and somatosensory stimulation caused by TMS, and assess their impact on the TEP waveform during motor cortex stimulation.
Auditory stimulation induces known responses in electrodes around the vertex, which can be suppressed by appropriate noise masking. Stimulation of the scalp alone generates nonspecific responses in central electrodes.
Review
Neurosciences
Seongmi Song, Andrew D. Nordin
Summary: Studying human brain activity during locomotion is crucial for understanding neural circuits and developing rehabilitation and performance enhancement technologies. While technical barriers have hindered neuroimaging during gait, advancements in non-invasive EEG technology have offered new possibilities.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Valentina Bianco, Eleonora Arrigoni, Francesco Di Russo, Leonor Josefina Romero Lauro, Alberto Pisoni
Summary: The Bereitschaftspotential (BP) is a scalp potential that increases slowly over the fronto-central regions as action execution approaches. This study used TMS evoked-potentials (TEP) to stimulate the supplementary motor area (SMA) and found that the reactivity of the left SMA was greater when approaching the peak of BP. Additionally, the effective connectivity of the left SMA increased with the left occipital areas and decreased with the right inferior frontal gyrus, indicating a fast reconfiguration of cortical networks during action preparation.
Article
Biochemistry & Molecular Biology
Esra Al, Tilman Stephani, Melina Engelhardt, Saskia Haegens, Arno Villringer, Vadim V. Nikulin
Summary: Human cognition and action can be influenced by internal bodily processes such as heartbeats. By studying motor excitability and muscle activity across the cardiac cycle of humans, this study reveals previously unknown heart-brain interactions that suggest distinct time windows optimized for either action or perception.
Article
Neurosciences
Maitreyee Wairagkar, Yoshikatsu Hayashi, Slawomir J. Nasuto
Summary: This study investigates changes in long-range temporal correlations (LRTCs) in broadband EEG during different types of movements and motor imagery tasks, contrasting them with LRTCs in alpha oscillation amplitude typically found in the literature. Results indicate that broadband LRTC increases significantly during motor tasks while alpha oscillation LRTC decreases, suggesting complementarity between fast and slow neuronal scale-free dynamics during movement and motor imagery.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Medicine, General & Internal
Qing Ma, Hui Wang, Edmund T. Rolls, Shitong Xiang, Jiong Li, Yuzhu Li, Qiongjie Zhou, Wei Cheng, Fei Li
Summary: This large-scale study found that gestational age is associated with brain volume, cognition, and educational performance in adolescents. Lower gestational age is associated with lower cognition and academic achievement, as well as smaller volumes in specific brain regions. These findings emphasize the importance of early screening and close follow-up for neurocognitive and behavioral development in children and adolescents with slightly lower gestational ages.
Article
Engineering, Biomedical
Yipeng Du, Jian Liu
Summary: This paper focuses on designing a robust deep learning algorithm that can analyze EEG signals across different BCI paradigms. Inspired by InceptionV4 and InceptionTime architecture, the authors propose a neural network ensemble called InceptionEEG-Net (IENet), which can extract rich high-dimensional features with limited parameters. They also introduce the concept of average receptive field (RF) gain to optimize CNNs, enabling IENet to detect long patterns more efficiently. Experimental results show that IENet achieves comparable performance to state-of-the-art paradigm-agnostic models on different BCI paradigms, and its feature explainability analysis demonstrates the reliability of the extracted neurophysiologically interpretable features.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Adele Simon, Gerard Loquet, Jan Ostergaard, Soren Bech
Summary: It has been demonstrated that cortical recordings can be used to detect which speaker a person is attending in a cocktail party scenario. The stimulus reconstruction approach, based on linear regression, can reconstruct an approximation of the envelopes of the attended and unattended sounds from EEG data. Previous studies mostly focused on speech listening, and this study applied auditory attention detection (AAD) techniques to both speech and music listening with differences in reconstruction accuracy. The results highlighted the importance of training data for model construction.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Neurosciences
Brandon J. Thio, Warren M. Grill
Summary: This article investigates the sources of the EEG signal through computational modeling and finds that in addition to the traditionally acknowledged postsynaptic currents, action potentials and presynaptic activity can also generate electric fields. Experimental results show that while postsynaptic currents are the main contributor, action potentials and presynaptic activity also make significant contributions.
Article
Clinical Neurology
Recep A. Ozdemir, Ehsan Tadayon, Pierre Boucher, Haoqi Sun, Davide Momi, Wolfgang Ganglberger, M. Brandon Westover, Alvaro Pascual-Leone, Emiliano Santarnecchi, Mouhsin M. Shafi
Summary: Studying individual brain responses to MRI-guided transcranial magnetic stimulation (TMS) can reveal unique brain characteristics, explore reproducibility of stimulation effects, differences between brain regions, and individual specificity.
Article
Neurosciences
Johannes Rodrigues, Martin Weiss, Johannes Hewig, John J. B. Allen
Summary: This article discusses the importance of standardization in psychological science and neuroscience, as well as the development of an automated processing pipeline to address subjectivity issues. The scripts for ERP and frequency-domain analyses are introduced and compared with existing methods.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Xulu Sun, Daniel J. O'Shea, Matthew D. Golub, Eric M. Trautmann, Saurabh Vyas, Stephen I. Ryu, Krishna V. Shenoy
Summary: This study explores changes in preparatory activity in the motor cortex accompanying motor learning. It was found that changes in preparatory activity were consistent with learned behavioral modifications and reassociated with updated movements. Additionally, preparatory activity uniformly shifted for all movement directions, including those not altered by learning. These persistent preparatory activity patterns may retain a motor memory of the learned field and support accelerated relearning of the same field.
Article
Chemistry, Multidisciplinary
Lorenzo J. Tardon, Ignacio Rodriguez-Rodriguez, Niels T. Haumann, Elvira Brattico, Isabel Barbancho
Summary: This study investigates brain responses to short and repetitive stimuli under experimental conditions, focusing on acoustic features in music. The research indicates that simultaneous increases in multiple qualities of music can influence and modulate the strength of brain responses.
APPLIED SCIENCES-BASEL
(2021)
Review
Neurosciences
Aline Xavier Fidencio, Christian Klaes, Ioannis Iossifidis
Summary: This review focuses on the current literature that uses non-invasive systems to combine error-related potentials (ErrPs) information in a reinforcement learning framework, going beyond error correction and utilizing these signals for learning. However, the study points out the lack of research in reducing future mistakes or enabling learning in this field.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Biology
Kazumi Kasahara, Charles S. DaSalla, Manabu Honda, Takashi Hanakawa
Summary: This study used simultaneous EEG and fMRI to investigate the neural mechanisms underlying self-regulation of cortical oscillations in healthy participants. The findings suggest that self-regulation of cortical oscillations activates the basal ganglia-cortical network and the neurofeedback control network. Successful self-regulation is associated with striatal activity in the basal ganglia-cortical network, which likely modulates patterns of cortical oscillations. The connectivity of the basal ganglia-cortical network and the neurofeedback control network correlates with strong and weak self-regulation, respectively.
COMMUNICATIONS BIOLOGY
(2022)
Article
Multidisciplinary Sciences
Sho Nakagome, Trieu Phat Luu, Yongtian He, Akshay Sujatha Ravindran, Jose L. Contreras-Vidal
SCIENTIFIC REPORTS
(2020)
Article
Computer Science, Artificial Intelligence
Mario Ortiz, Eduardo Ianez, Jose L. Contreras-Vidal, Jose M. Azorin
FRONTIERS IN NEUROROBOTICS
(2020)
Article
Biotechnology & Applied Microbiology
Mario Ortiz, Laura Ferrero, Eduardo Ianez, Jose M. Azorin, Jose L. Contreras-Vidal
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2020)
Article
Critical Care Medicine
Leslie R. Morse, Edelle C. Field-Fote, Jose Contreras-Vidal, Linda J. Noble-Haeusslein, Matthew Rodreick, Richard K. Shields, Michael Sofroniew, Robert Wudlick, Jeanne M. Zanca
Summary: Over the past decade, the spinal cord injury research community has made significant advances and hosted a conference to discuss how to continue advancing research for the benefit of patients. The conference brought together stakeholders such as researchers, clinicians, patients, and industry partners to break down communication barriers and support collaboration to promote spinal cord injury research and clinical options.
JOURNAL OF NEUROTRAUMA
(2021)
Article
Engineering, Biomedical
Fangshi Zhu, Marcie Kern, Erin Fowkes, Taimoor Afzal, Jose-Luis Contreras-Vidal, Gerard E. Francisco, Shuo-Hsiu Chang
Summary: This study found that using a powered exoskeleton for gait training can alter neuromuscular coordination in stroke patients, especially on the paretic side. However, after training, the complexity, module composition, and activation timing of neuromuscular coordination remained unchanged.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
David Eguren, Jose Luis Contreras-Vidal
Summary: Advancements have been made in robot-assisted lower limb rehabilitation, but progress in systems for children has been slow despite potential benefits for conditions like cerebral palsy and spina bifida. Robotic-assisted gait therapy offers increased training duration and intensity, along with the development of brain-computer interfaces using noninvasive methods for neuromuscular rehabilitation.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Information Systems
Andrew Y. Paek, Justin A. Brantley, Barbara J. Evans, Jose L. Contreras-Vidal
Summary: Neurotechnology has been crucial in diagnosis and treatment of neurological disorders, with recent advancements resulting in more portable, user-friendly, and affordable devices. Consumer-grade wearable neurotechnology, initially marketed for innocuous applications, has the potential to be repurposed for medical uses. This raises concerns about similar claims associated with medical and consumer devices and the potential influence of neurotechnology on commercial markets related to employment and self-enhancement.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Biomedical
Akshay Sujatha Ravindran, Christopher A. Malaya, Isaac John, Gerard E. Francisco, Charles Layne, Jose L. Contreras-Vidal
Summary: This study investigates the use of electroencephalography (EEG) as a fall-predicting signal and the brain's response to avoiding falls. The findings suggest that EEG signals contain short-latency neural information related to an impending fall, which may be useful for developing brain-machine interface systems for fall prevention in robotic exoskeletons.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Neurosciences
Charles S. Layne, Christopher A. Malaya, Akshay S. Ravindran, Isaac John, Gerard E. Francisco, Jose Luis Contreras-Vidal
Summary: This report presents the kinematic and neuromuscular data obtained from seven healthy individuals to investigate the effects of wearing a lower limb exoskeleton on gait stability and balance control. The results show that wearing the exoskeleton significantly reduces sway magnitude and velocity in response to postural perturbations.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Alexander G. Steele, Gerome A. Manson, Philip J. Horner, Dimitry G. Sayenko, Jose L. Contreras-Vidal
Summary: This study aims to evaluate the effects of Transcutaneous Spinal Cord Stimulation (TSS) on brain activity and compare the functional connectivity under different stimulation conditions. The results show that TSS has significant effects on areas associated with working memory, planning, and movement control.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Chemistry, Analytical
Alexander Craik, Juan Jose Gonzalez-Espana, Ayman Alamir, David Edquilang, Sarah Wong, Lianne Sanchez Rodriguez, Jeff Feng, Gerard E. Francisco, Jose L. Contreras-Vidal
Summary: We designed and validated a wireless, low-cost, easy-to-use, mobile, dry-electrode headset for scalp EEG recordings. The headset incorporates five EEG electrodes, three skin sensors, and an IMU for monitoring head movements. It operates with high SNR and CMRR and supports various coding languages. Extensive bench testing and human-subject pilot testing verify its usability and effectiveness for BCI research and neurorehabilitation.
Article
Computer Science, Artificial Intelligence
Nikunj A. Bhagat, Gerard E. Francisco, Jose L. Contreras-Vidal
Summary: In this study, the integration of an electroencephalography-based brain-machine interface (BMI) with closed-loop neuromuscular stimulation is proposed to restore grasping ability. The results show that closed-loop stimulation using a state-space feedback controller significantly outperforms conventional open-loop stimulation in terms of tracking error, and the proposed system is more capable of engaging patients for rehabilitation.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2023)
Article
Engineering, Biomedical
Rahul Goel, Sho Nakagome, William H. Paloski, Jose L. Contreras-Vidal, Pranav J. Parikh
Summary: This study proposes a framework for examining postural instability during standing by measuring electroencephalography, ground reaction forces, and head acceleration. The study finds that the spatio-temporal characteristics of the center of pressure can serve as an essential parameter for early detection of balance instability.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Niell Gorman, Antoinette Louw, Alex Craik, Jose Gonzalez, Jeff Feng, Jose L. Contreras-Vidal
Summary: The study proposes design principles for MoBI systems for brain-machine interfaces in rehabilitation for individuals with movement disabilities, emphasizing the use of 3D anthropometric data to design a well-fitted and ergonomic MoBI headset. It also highlights the importance of ensuring constant contact of EEG sensors with the scalp and face for optimal scan quality, as well as discussing the need for single-handed correct positioning of the headset for older populations and clinical populations with motor impairments.
ADVANCES IN USABILITY, USER EXPERIENCE, WEARABLE AND ASSISTIVE TECHNOLOGY, AHFE 2021
(2021)
Article
Engineering, Biomedical
Alexander G. Steele, Sankalp Parekh, Hamid Fekri Azgomi, Mohammad Badri Ahmadi, Alexander Craik, Sandipan Pati, Joseph T. Francis, Jose L. Contreras-Vidal, Rose T. Faghih
Summary: Real-time continuous tracking of seizure state is achieved through a novel approach combining mixed-filter and Kalman filter, utilizing EEG data. The method involves feature selection, state-space modeling, and expectation maximization for parameter estimation. The proposed estimation model shows high accuracy, sensitivity, and specificity in experimental validation, providing quantitative information on seizure probability.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)