Literature DB >> 27529874

EEG Analysis During Active and Assisted Repetitive Movements: Evidence for Differences in Neural Engagement.

Giulia Tacchino, Marta Gandolla, Stefania Coelli, Riccardo Barbieri, Alessandra Pedrocchi, Anna M Bianchi.   

Abstract

Two key ingredients of a successful neuro-rehabilitative intervention have been identified as intensive and repetitive training and subject's active participation, which can be coupled in an active robot-assisted training. To exploit these two elements, we recorded electroencephalography, electromyography and kinematics signals from nine healthy subjects performing a 2×2 factorial design protocol, with subject's volitional intention and robotic glove assistance as factors. We quantitatively evaluated primary sensorimotor, premotor and supplementary motor areas activation during movement execution by computing event-related desynchronization (ERD) patterns associated to mu and beta rhythms. ERD patterns showed a similar behavior for all investigated regions: statistically significant ERDs began earlier in conditions requiring subject's volitional contribution; ERDs were prolonged towards the end of movement in conditions in which the robotic assistance was present. Our study suggests that the combination between subject volitional contribution and movement assistance provided by the robotic device (i.e., active robot-assisted modality) is able to provide early brain activation (i.e., earlier ERD) associated with stronger proprioceptive feedback (i.e., longer ERD). This finding might be particularly important for neurological patients, where movement cannot be completed autonomously and passive/active robot-assisted modalities are the only possibilities of execution.

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Year:  2016        PMID: 27529874     DOI: 10.1109/TNSRE.2016.2597157

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  8 in total

1.  EEG Oscillations in Specific Frequency Bands Are Differently Coupled with Angular Joint Angle Kinematics during Rhythmic Passive Elbow Movement.

Authors:  Takako Suzuki; Makoto Suzuki; Kilchoon Cho; Naoki Iso; Takuhiro Okabe; Toyohiro Hamaguchi; Junichi Yamamoto; Naohiko Kanemura
Journal:  Brain Sci       Date:  2022-05-14

2.  An EEG Tool for Monitoring Patient Engagement during Stroke Rehabilitation: A Feasibility Study.

Authors:  Gadi Bartur; Katherin Joubran; Sara Peleg-Shani; Jean-Jacques Vatine; Goded Shahaf
Journal:  Biomed Res Int       Date:  2017-09-24       Impact factor: 3.411

3.  Quantification of task-dependent cortical activation evoked by robotic continuous wrist joint manipulation in chronic hemiparetic stroke.

Authors:  Martijn P Vlaar; Teodoro Solis-Escalante; Julius P A Dewald; Erwin E H van Wegen; Alfred C Schouten; Gert Kwakkel; Frans C T van der Helm
Journal:  J Neuroeng Rehabil       Date:  2017-04-17       Impact factor: 4.262

4.  Error-Related Neural Responses Recorded by Electroencephalography During Post-stroke Rehabilitation Movements.

Authors:  Akshay Kumar; Qiang Fang; Jianming Fu; Elena Pirogova; Xudong Gu
Journal:  Front Neurorobot       Date:  2019-12-20       Impact factor: 2.650

5.  Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.

Authors:  Paul Dominick E Baniqued; Emily C Stanyer; Muhammad Awais; Ali Alazmani; Andrew E Jackson; Mark A Mon-Williams; Faisal Mushtaq; Raymond J Holt
Journal:  J Neuroeng Rehabil       Date:  2021-01-23       Impact factor: 4.262

6.  Automatic Setting Procedure for Exoskeleton-Assisted Overground Gait: Proof of Concept on Stroke Population.

Authors:  Marta Gandolla; Eleonora Guanziroli; Andrea D'Angelo; Giovanni Cannaviello; Franco Molteni; Alessandra Pedrocchi
Journal:  Front Neurorobot       Date:  2018-03-19       Impact factor: 2.650

7.  Brain Plasticity Mechanisms Underlying Motor Control Reorganization: Pilot Longitudinal Study on Post-Stroke Subjects.

Authors:  Marta Gandolla; Lorenzo Niero; Franco Molteni; Elenora Guanziroli; Nick S Ward; Alessandra Pedrocchi
Journal:  Brain Sci       Date:  2021-03-05

8.  Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson's Disease.

Authors:  Alfonso Maria Ponsiglione; Carlo Ricciardi; Francesco Amato; Mario Cesarelli; Giuseppe Cesarelli; Giovanni D'Addio
Journal:  Sensors (Basel)       Date:  2022-02-22       Impact factor: 3.576

  8 in total

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