Article
Clinical Neurology
Beatrice Rizzi, Christian Nuresi, Claudio Rovacchi, Massimo Bacchini, Federica Savi, Lucia Falco, Luca Schianchi, Augusto Scaglioni, Chiara Ciraci, Cosimo Costantino, Giovanni Buccino
Summary: This study aims to compare the effectiveness of Action Observation Treatment (AOT) and Motor Imagery (MI) cognitive strategies, taken alone or combined, in Parkinson's disease patients.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Jack Aaron Binks, Jonathan Reyes Emerson, Matthew William Scott, Christopher Wilson, Paul van Schaik, Daniel Lloyd Eaves
Summary: In this study, the effects of combined action observation and motor imagery therapy on upper-limb recovery in chronic stroke survivors were investigated. The results showed that AO + MI therapy significantly reduced movement execution times and improved quality of life. The therapy was also positively received by the participants. Therefore, AO + MI therapy could serve as an effective adjunct for neurorehabilitation in patients who are unable to engage in physical training.
FRONTIERS IN NEUROLOGY
(2023)
Article
Health Care Sciences & Services
Ana Poveda-Garcia, Carmen Moret-Tatay, Miguel Gomez-Martinez
Summary: The study found a significant correlation between visualizing upper limb mental motor images and movement, functionality, and strength, as well as a correlation between visual-spatial skills and mental visualization of motor ability and upper limb movement. Therefore, rehabilitation strategies should focus on improving mental motor imagery to enhance upper limb rehabilitation.
Article
Neurosciences
Helen O'Shea
Summary: This study utilizes multidimensional modeling to examine the neurocognitive characteristics of four action-related behaviors. The findings suggest that action execution is most similar to concurrent action observation and motor imagery, while action execution is least similar to action observation. Most action types share similarities in at least one neurocognitive dimension, except for action-related language.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Zhongpeng Wang, Lu Yang, Mengya Wang, Yijie Zhou, Long Chen, Bin Gu, Shuang Liu, Minpeng Xu, Feng He, Dong Ming
Summary: The study investigates the EEG activations induced by motor imagery (MI) and action observation (AO) in a brain-computer interface (BCI)-based motor rehabilitation feedback training system. The results show significant differences in sensorimotor activations between two groups of subjects, with the group with weaker MI achieving stronger activations in AO and the group with stronger MI achieving stronger activations in MI+AO. The findings provide insights into the EEG mechanism in different individuals and can help stroke patients choose appropriate motor training paradigms for their rehabilitation and treatment outcomes.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Chi-Hsian Lin, Frank J. H. Lu, Diane L. Gill, Ken Shih-Kuei Huang, Shu-Ching Wu, Yi-Hsiang Chiu
Summary: Motor imagery and action observation, when combined, can enhance motor performance. This study found that a combination of action observation and motor imagery performed in an asynchronous or progressive manner results in better golf putting performance and learning compared to synchronous combination. Further research is needed to determine the best way to combine action observation and motor imagery.
Article
Behavioral Sciences
Samantha Chye, Ashika Chembila Valappil, David J. Wright, Cornelia Frank, David A. Shearer, Christopher J. Tyler, Ceri E. Diss, Omar S. Mian, Neale A. Tillin, Adam M. Bruton
Summary: Motor simulation interventions involving AOMI have a positive effect on corticospinal excitability and motor skill performance, but no effect on MI. These results are important for the existing literature on motor simulation and skill acquisition.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2022)
Article
Behavioral Sciences
Judith Bek, Emma Gowen, Stefan Vogt, Trevor J. Crawford, Ellen Poliakoff
Summary: Observing human action influences movement aspects like duration or trajectory more strongly than non-biological stimuli, particularly during concurrent imitation. Despite producing slower and smaller movements overall, the PD group showed a similar pattern of imitation to controls across tasks and conditions.
Article
Computer Science, Information Systems
Nuttawat Rungsirisilp, Yodchanan Wongsawat
Summary: This study investigated the effect of combined action observation and motor imagery (AOMI) on event-related desynchronization (ERD) and classification performance in chronic stroke patients. The results showed that AOMI led to significantly higher ERD values and classification accuracy compared to motor imagery alone. There was also a significant negative correlation between ERD values and classification performance.
Article
Hospitality, Leisure, Sport & Tourism
S. Romano-Smith, J. W. Roberts, G. Wood, G. Coyles, C. J. Wakefield
Summary: Combining the motor simulation techniques of action observation and motor imagery (AOMI) has been shown to enhance motor performance. This study examined the involvement of lower-level sensorimotor processes in the improvement of a dart-throwing task using AOMI. Results showed that simultaneous and alternate congruent groups had significantly improved dart-throwing performance compared to control groups. This improvement was accompanied by lower EMG activity, suggesting greater movement efficiency. AOMI involves a common lower-level sensorimotor process that can lead to motor facilitation or interference, depending on the congruency of the simulation techniques, regardless of the delivery structure.
PSYCHOLOGY OF SPORT AND EXERCISE
(2022)
Article
Clinical Neurology
Ettore Beghi, Heinrich Binder, Codruta Birle, Natan Bornstein, Karin Diserens, Stanislav Groppa, Volker Homberg, Vitalie Lisnic, Maura Pugliatti, Gary Randall, Leopold Saltuari, Stefan Strilciuc, Johannes Vester, Dafin Muresanu
Summary: This study reviews the impact of early pharmacological support on neurorehabilitation after stroke, recommending certain interventions and advising against others for clinical use. The findings aim to assist healthcare professionals in making informed decisions for stroke survivors' recovery.
EUROPEAN JOURNAL OF NEUROLOGY
(2021)
Review
Behavioral Sciences
Matthew W. Scott, Greg Wood, Paul S. Holmes, Jacqueline Williams, Ben Marshall, David J. Wright
Summary: The combination of action observation and motor imagery (AOMI) has been shown to be more effective than independent AO and MI, improving motor skill learning in children with DCD.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2021)
Article
Clinical Neurology
Elisabetta Sarasso, Federica Agosta, Noemi Piramide, Andrea Gardoni, Elisa Canu, Michela Leocadi, Veronica Castelnovo, Silvia Basaia, Andrea Tettamanti, Maria Antonietta Volonte, Massimo Filippi
Summary: Dual-task gait/balance training combined with action observation training and motor imagery can lead to improved mobility, balance, and executive functions in PD patients with postural instability and gait disorders. This combined training also promotes specific functional reorganization in brain areas involved in motor control, leading to long-lasting effects on dual-task mobility and balance.
MOVEMENT DISORDERS
(2021)
Article
Neurosciences
Naotsugu Kaneko, Hikaru Yokoyama, Yohei Masugi, Katsumi Watanabe, Kimitaka Nakazawa
Summary: Through neuroimaging studies, it has been found that action observation and motor imagery induce cortical activity related to execution of observed and imagined movements, and this activity may depend on observed or imagined phases. The combination of action observation and motor imagery may modulate cortical activity and induce phase dependent activation in the sensorimotor cortex during walking, even without any actual movements.
Article
Clinical Neurology
Elisabetta Sarasso, Andrea Gardoni, Lucia Zenere, Elisa Canu, Silvia Basaia, Elisa Pelosin, Maria Antonietta Volonte, Massimo Filippi, Federica Agosta
Summary: This study aimed to assess the effects of action observation and MI training (AOT-MI) on MI abilities and brain function in PD-PIGD patients. The results showed that AOT-MI improved MI skills in PD-PIGD patients and promoted the functional plasticity of brain areas involved in MI processes and gait/balance control.
PARKINSONISM & RELATED DISORDERS
(2023)
Article
Neurosciences
Athanasios Vourvopoulos, Octavio Marin Pardo, Stephanie Lefebvre, Meghan Neureither, David Saldana, Esther Jahng, Sook-Lei Liew
FRONTIERS IN HUMAN NEUROSCIENCE
(2019)
Review
Neurosciences
Alisa Berger, Fabian Horst, Sophia Mueller, Fabian Steinberg, Michael Doppelmayr
FRONTIERS IN HUMAN NEUROSCIENCE
(2019)
Article
Neurosciences
Athanasios Vourvopoulos, Carolina Jorge, Rodolfo Abreu, Patricia Figueiredo, Jean-Claude Fernandes, Sergi Bermudez i Badia
FRONTIERS IN HUMAN NEUROSCIENCE
(2019)
Article
Engineering, Biomedical
Guillaume Durandau, Dario Farina, Guillermo Asin-Prieto, Iris Dimbwadyo-Terrer, Sergio Lerma-Lara, Jose L. Pons, Juan C. Moreno, Massimo Sartori
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2019)
Article
Multidisciplinary Sciences
Huixuan Liang, Handi Zhao, Amy Gleichman, Michal Machnicki, Sagar Telang, Sydney Tang, Mary Rshtouni, Jack Ruddell, S. Thomas Carmichael
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2019)
Review
Neurosciences
Silvestro Micera, Matteo Caleo, Carmelo Chisari, Friedhelm C. Hummel, Alessandra Pedrocchi
Article
Chemistry, Analytical
Jingjing Luo, Junjie Zhen, Peng Zhou, Wei Chen, Yuzhu Guo
Summary: This study developed a video-based facial iPPG detecting equipment that provides multi-dimensional spatiotemporal hemodynamic pulsations for high portability and self-monitoring needs. A series of algorithms were also created for physiological indices extraction and visualization of hemodynamic pulsation distribution. The new device offers a reliable measurement of cardiovascular hemodynamics and, combined with advanced computing techniques, presents a promising solution for user-friendly pervasive healthcare.
Article
Neurosciences
Chenxi Chu, Jingjing Luo, Xiwei Tian, Xiangke Han, Shijie Guo
Summary: This study introduced a novel tactile-stimuli P300 paradigm for BCI targeting individuals with learning difficulties or attention deficits. The paradigm utilized a combination of spatial and frequency information to distinguish targets, achieving high classification accuracy.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Neurosciences
Youhao Wang, Jingjing Luo, Yuzhu Guo, Qiang Du, Qiying Cheng, Hongbo Wang
Summary: The study demonstrated that for the neurofeedback group, ERP brain network parameters showed significant changes and trends, while for the non-feedback group, most network parameters did not change significantly. The short-term effects of MI-BCI training were not observed significantly in ERD analysis, but could be detected significantly by ERP-based network analysis.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Review
Engineering, Biomedical
Jingjing Luo, Zhengrong Yan, Shijie Guo, Wei Chen
Summary: Atherosclerosis screening plays an important role in the transformation of the medical model from therapeutic medicine to preventive medicine. This study introduces five cutting-edge pervasive technologies for atherosclerosis screening, including iPPG, laser Doppler, RF, TI, optical fiber sensing, and piezoelectric sensor. These noninvasive and mobile technologies can detect physiological parameters related to atherosclerosis.
IEEE REVIEWS IN BIOMEDICAL ENGINEERING
(2022)
Article
Robotics
Fuhao Wang, Hongbo Wang, Jingjing Luo, Xiaoyang Kang, Haoyang Yu, Hao Lu, Yu Dong, Xiaoxu Jia
Summary: This letter presents a flexible tendon-driven continuum surgical manipulator called FLORA, which aims to solve the problems of low flexibility, poor internal extension, and chopstick effect in most laparoscopic surgical robots. The manipulator is composed of three independent flexible segments in series, driven by twelve tendons, and has good flexibility and rigidity. It also features a compact actuation unit and a kinematic modeling method based on piecewise constant curvature model, which can accurately model and fast decouple the manipulator.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Qiliang Chen, Yulin Huang, Xing Zhu, Hong Lu, Zhongzhi Ji, Jiacheng Yang, Jingjing Luo
Summary: In this paper, a regression model using 3D convolution neural networks (CNN) for locating radial artery upon radius at the wrist using near-infrared picture sequences is proposed. Compared to previous 2D models, the 3D CNN model achieved superior performance accuracy and highlighted dynamic changes within image sequences.
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Yunjie Li, Min Wei, Qiliang Chen, Xing Zhu, Hui Li, Hongbo Wang, Jingjing Luo
Summary: Camera-based image sequences can be used to measure blood pressure continuously and noncontactly using a deep-learning approach called Hybrid D1DCnet. The model can predict systolic and diastolic blood pressure by analyzing forehead imaging photoplethysmography (iPPG) waveforms and personal information. The research demonstrates the feasibility and advantages of using this model to monitor circulatory health and contribute to the prevention and intervention of cardiovascular diseases.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Jingjing Luo, Min Wei, Moyi Shi, Yunjie Li, Xing Zhu, Yang Zhou
Summary: This study proposes a novel cardiovascular health state detection procedure based on camera-based iPPG monitoring. The method achieves high accuracy in predicting whether subjects are CVDs relevant patients. The study emphasizes the advantages of using noncontact and high-dimensional features for cardiovascular health assessment.
IEEE SENSORS JOURNAL
(2023)
Review
Clinical Neurology
Francesco Fisicaro, Giuseppe Lanza, Alfio Antonio Grasso, Giovanni Pennisi, Rita Bella, Walter Paulus, Manuela Pennisi
THERAPEUTIC ADVANCES IN NEUROLOGICAL DISORDERS
(2019)