Article
Psychology, Biological
Joseph R. Isler, Nicolo Pini, Maristella Lucchini, Lauren C. Shuffrey, Santiago Morales, Maureen E. Bowers, Stephanie C. Leach, Ayesha Sania, Lily Wang, Carmen Condon, J. David Nugent, Amy J. Elliott, Christa Friedrich, Rebecca Andrew, Nathan A. Fox, Michael M. Myers, William P. Fifer
Summary: This study examined the differences in EEG power between eyes open and eyes closed resting states in children aged 4 to 11 years. The results showed developmental changes in EEG power as a function of age and condition. Opening and closing the eyes provided quantitative biomarkers of brain maturation in children, with specific differences in EEG power across different frequency bands.
Article
Psychology, Multidisciplinary
Albert Busquets, Blai Ferrer-Uris, Rosa Angulo-Barroso, Peter Federolf
Summary: The study examined posture movements and control under tendon vibration in children and adults with different gymnastic experiences. Children with gymnastic experience demonstrated a more mature form of postural coordination and neuromuscular control, closer to that of adults, compared to children without gymnastic experience. Gymnastic experience during childhood appeared to benefit proprioceptive reweighting processes in children, influencing their postural coordination and control.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Multidisciplinary Sciences
Fabrizio Vecchio, Francesca Miraglia, Chiara Pappalettera, Alessandro Orticoni, Francesca Alu, Elda Judica, Maria Cotelli, Paolo Maria Rossini
Summary: Brain complexity can be revealed through comparison of EEG signals during resting with eyes open and closed. Entropy, particularly ApEn, was used to measure system disorder and showed higher values in networks with eyes open. The study suggests that complexity of brain dynamics depends on individual brain state.
Article
Clinical Neurology
Oluwole O. Awosika, Amanda Garver, Colin Drury, Heidi J. Sucharew, Pierce Boyne, Sarah M. Schwab, Emily Wasik, Melinda Earnest, Kari Dunning, Amit Bhattacharya, Pooja Khatri, Brett M. Kissela
Summary: This study found that adequate sensory system reweighting is crucial for the postural stability and walking independence of chronic stroke survivors. Rehabilitation strategies and walking rehabilitation trials should focus on multisensory system integration testing and strengthening.
FRONTIERS IN NEUROLOGY
(2023)
Article
Multidisciplinary Sciences
Ken-Hsien Su, Jen-Jui Hsueh, Tainsong Chen, Fu-Zen Shaw
Summary: Neurofeedback training (NFT) allows users to control EEG activity and improve cognitive function. This study investigated successful NFT in upregulating alpha activity, showing trainability and independence. The findings provide insights for researchers to enhance individual training efficacy in NFT.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Analytical
Colton B. Gonsisko, Daniel P. Ferris, Ryan J. Downey
Summary: This study tested the application of the iCanClean algorithm in the analysis of mobile electroencephalography (EEG) data and found that it improves the decomposition of EEG data corrupted by walking motion artifacts. It increases the number of correctly identified components.
Article
Behavioral Sciences
Jamie Ward, Reny Baykova, Ben Dyson, Jowinn Chew, Marie Luise Schreiter, Christian Beste, Maxine Sherman
Summary: Individuals with synaesthesia exhibit atypical electrophysiological responses to sensory stimuli compared to non-synaesthetes. However, there are no significant electrophysiological differences associated with variations in sensory sensitivity in the neurotypical population.
Article
Neurosciences
Mo Modarres, David Cochran, David N. Kennedy, Jean A. Frazier
Summary: This study rigorously analyzed the quantitative EEG (qEEG) of typically developing boys and girls during resting state conditions. The results showed significant differences in various qEEG metrics between boys and girls, suggesting the importance of considering sex as a covariate in qEEG analysis. Furthermore, the study highlights the utility of narrow-band frequencies in examining brain activity in children.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Engineering, Biomedical
Juan F. Restrepo, Diego M. Mateos, Juan M. Diaz Lopez
Summary: This study uses a methodology based on Transfer Entropy to investigate the information flow between different brain hemispheres in healthy subjects during eyes-open and eyes-closed resting states. The results suggest an increase in information transfer in the eyes-closed condition, but no preferred direction of interhemispheric information movement.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Neurosciences
Saman Seifpour, Alexander Satka
Summary: This study investigates the differences in neural activity between closed and open eyes during movement-related behaviors using a robotic-assisted motor imagery brain-computer interface. Through the use of PARAFAC tensor decomposition, specific narrow-band sensorimotor rhythms were identified and their oscillatory dynamics during movement preparation, initiation, and completion were analyzed. This study provides valuable insights into the functional mechanisms involved in motor imagery and contributes to our understanding of the dissociation of rhythmic activity in the sensorimotor system.
Article
Computer Science, Interdisciplinary Applications
William Chung, Michael Barnett-Cowan
Summary: This study investigates the effects of VR experiences on sensory perception and measures sickness severity. The findings show that VR exposure can result in shifts in perception of verticality, with higher intensity VR games leading to more severe cybersickness symptoms. The change in sensory perception after each VR experience explains 49.5% of the variance in sickness severity ratings.
Article
Engineering, Biomedical
Yijun Zou, Xingang Zhao, Yaqi Chu, Weiliang Xu, Jianda Han, Wei Li
Summary: Recognizing the neural activities of independent components (ICs) obtained by independent component analysis (ICA) is crucial for EEG analysis. This paper proposes a supervised method that combines ICA with the principle of motion imagery (MI) to extract motion-related ICs. By designing a new optimization objective and solving it, the proposed method satisfies both independence and specific band power maximization for specific motions. Experimental results demonstrate the effectiveness of the method in motion recognition accuracy.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Engineering, Biomedical
Shuang Liu, Xiaoya Liu, Danfeng Yan, Sitong Chen, Yanli Liu, Xinyu Hao, Wenwen Ou, Zhenni Huang, Fangyue Su, Feng He, Dong Ming
Summary: This study investigated the effects of eyes-closed and eyes-open conditions on EEG biomarkers for discriminating between major depressive disorder (MDD) and healthy control (HC) subjects. The findings showed that MDD subjects exhibited increased beta and gamma powers in both conditions compared to HC subjects. In the eyes-open condition, MDD subjects also showed increased complexity and scaling exponents in the alpha band. The best classification performance was achieved in the eyes-open condition, with a leave-one-out classification accuracy of 89.29%.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Food Science & Technology
Irene Hinojosa-Aguayo, David Garcia-Burgos, Andres Catena, Felisa Gonzalez
Summary: This study aimed to investigate the impact of tasting expertise on the relationship between evaluations and brain activity during sensory and hedonic processes of beer consumption. Results indicated differences between experts and general tasters in gustatory processing and memory activation, as well as distinctions between general tasters and consumers in hedonic processing.
FOOD RESEARCH INTERNATIONAL
(2022)
Article
Engineering, Multidisciplinary
Lisna Anisa Fitriana, Andria Pragholapati, Slamet Rohaedi, Kusnandar Anggadiredja, Iwan Setiawan, I. Ketut Adnyana
Summary: The study revealed significant differences in EEG waves between older women with dementia and non-dementia, showing that older women with dementia had decreased slow waves in Delta and Theta regions compared to those without dementia. Further research with larger sample sizes and stimuli during EEG examination is recommended.
JOURNAL OF ENGINEERING RESEARCH
(2021)
Article
Physiology
Morteza Yaserifar, Anderson Souza Oliveira
Summary: This study investigated the impact of running surfaces on inter-muscular coordination during running. The results showed that running surface hardness had a certain influence on the similarity of muscle weightings, but no significant differences were found in weighting coefficients. There were no temporal differences in activation signals across running surfaces. However, the activation duration was significantly shorter for treadmill running compared to other surfaces.
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2023)
Review
Engineering, Biomedical
Rachel L. Hybart, Daniel P. Ferris
Summary: Research on embodiment of external objects has provided important information about the interaction between the human nervous system and robotic lower limb exoskeletons. Current approaches to exoskeleton control should consider the principles of embodiment, suggesting that the controller should coordinate with the human to adequately model its dynamics. Quantitative measures of embodiment should be included in exoskeleton development instead of relying on qualitative surveys, with mobile brain imaging techniques offering a deeper insight into human-machine interactions. This review highlights the importance of including quantitative measures of embodiment in future exoskeleton research as a metric of success.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Neurosciences
Mateus Andre Favretto, Felipe Rettore Andreis, Sandra Cossul, Francesco Negro, Anderson Souza Oliveira, Jefferson Luiz Brum Marques
Summary: The aim of this study was to determine whether HD-sEMG is sensitive to detecting changes in motor unit behavior in healthy adults and type 2 diabetes mellitus patients with different levels of DPN. The results support the use of HD-SEMG as a method to detect peripheral and central changes related to DPN.
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2023)
Article
Chemistry, Analytical
Colton B. Gonsisko, Daniel P. Ferris, Ryan J. Downey
Summary: This study tested the application of the iCanClean algorithm in the analysis of mobile electroencephalography (EEG) data and found that it improves the decomposition of EEG data corrupted by walking motion artifacts. It increases the number of correctly identified components.
Article
Biophysics
Angel Bu, Mhairi K. MacLean, Daniel P. Ferris
Summary: Bodyweight supported walking is a common gait rehabilitation method that can provide insights into walking biomechanics. In this study, we used a neuromuscular model to investigate the effects of varying bodyweight support levels on muscle force, activation, and fiber length during overground walking. The results showed that the lateral and medial gastrocnemius muscles had decreased force and activation with higher levels of support, while the soleus muscle had no significant change in activation but decreased force. These findings highlight the decoupling of muscle force from effective bodyweight during bodyweight supported walking.
JOURNAL OF BIOMECHANICS
(2023)
Article
Multidisciplinary Sciences
Evangelia-Regkina Symeonidou, Nicole M. Esposito, Roehl-Dean Reyes, Daniel P. Ferris
Summary: The goals of this study were to determine the effects of practicing walking on a treadmill mounted balance beam on sacral marker movement kinematics and balance measures. Participants trained with intermittent visual occlusions or unperturbed vision. Results showed significant changes in sacral marker velocity after training, but no significant group differences. There was limited evidence of balance transfer from beam-walking practice to treadmill walking and standing balance.
Article
Chemistry, Analytical
Rodrigo Vitorio, Ellen Lirani-Silva, Diego Orcioli-Silva, Victor Spiandor Beretta, Anderson Souza Oliveira, Lilian Teresa Bucken Gobbi
Summary: This study investigated whether people with Parkinson's disease (PD) show distinct brain activity during regular walking and obstacle avoidance compared to healthy individuals. The results showed that during regular walking, PD patients had higher alpha/beta ratio in the left sensorimotor cortex. When approaching obstacles, both groups decreased alpha and beta power in the premotor and right sensorimotor cortices, and increased gamma power in the primary visual cortex. Only PD patients decreased alpha power and alpha/beta ratio in the left sensorimotor cortex. These findings suggest that PD affects cortical control of walking and changes electrocortical dynamics during obstacle avoidance.
Article
Chemistry, Analytical
Cristina-Ioana Pirscoveanu, Anderson Souza Oliveira
Summary: Accelerometry is a popular method for assessing human movement outdoors. This study evaluated whether data from a fitness smartwatch and chest strap could detect changes in running style and found that these variables had limited sensitivity and could not be associated with lower limb vertical loading.
Article
Neurosciences
Amanda Studnicki, Daniel P. Ferris
Summary: Traditional human electroencephalography experiments in visuomotor processing often lack ecological validity due to controlled laboratory conditions. This study aimed to quantify the electrocortical dynamics of the parieto-occipital cortices during table tennis using high-density electroencephalography. The results suggest that training with a ball machine elicits different brain dynamics compared to training with a human opponent.
Article
Physiology
Cristina-Ioana Pirscoveanu, Anderson Souza Oliveira
Summary: This study used biomechanical parameters extracted from a commercial running smartwatch to predict the rate of perceived exertions during running. The results show that using subject-dependent regression models can accurately predict RPE, opening new possibilities for improving training workload monitoring.
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2023)
Article
Neurosciences
Noelle A. Jacobsen, Daniel P. Ferris
Summary: Mobile brain imaging technology has revealed that multiple brain areas, including the sensorimotor and posterior parietal cortices, are involved in gait adaptation during human walking. The alpha and beta band power in these brain areas decreases during early adaptation to split-belt walking, but gradually recovers to pre-adaptation levels by the end of the adaptation period. These findings provide important insights for future studies on gait adaptation and its disorders.
JOURNAL OF PHYSIOLOGY-LONDON
(2023)
Article
Chemistry, Analytical
Ryan J. Downey, Daniel P. Ferris
Summary: The goal of this study was to test a novel approach (iCanClean) for removing non-brain sources from scalp EEG data recorded in mobile conditions. The study found that iCanClean consistently outperformed the other three methods in removing artifacts and preserving brain activity, regardless of the type or number of artifacts present.
Article
Engineering, Biomedical
W. Sebastian Barrutia, James Bratt, Daniel P. Ferris
Summary: The development of assistive lower-limb exoskeletons is time-consuming and testing them on vulnerable populations such as children raises safety concerns. Mechanical phantoms that replicate lower-limb kinematics provide a fast validation method for exoskeletons, but most phantoms fail to capture soft tissue deformation at the human/exoskeleton interface. We have developed a methodology using a mechanical phantom capable of emulating knee kinematics and soft tissue deformation to quickly test and validate knee exoskeletons.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Sport Sciences
Amir Ali Jafarnezhadgero, Azin Jahangirpour, Hamed Parsa, Heidar Sajedi, Urs Granacher, Anderson Souza Oliveira
Summary: Excessive body weight has an impact on ground reaction forces during running, particularly an increase in medio-lateral and torsional forces. Individuals with excessive body weight appear to adapt their running patterns in order to attenuate early vertical impact loading.
SPORTS MEDICINE-OPEN
(2023)
Article
Engineering, Industrial
Matteo Musso, Anderson Souza Oliveira, Shaoping Bai
Summary: Exoskeletons have been found to have an impact on muscle activity in commonly performed tasks in the manufacturing and construction sectors. The influence of exoskeletons varies depending on the task and arm posture.
APPLIED ERGONOMICS
(2024)
