Real movement vs. motor imagery in healthy subjects

2013 ◽  
Vol 87 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Yvonne Höller ◽  
Jürgen Bergmann ◽  
Martin Kronbichler ◽  
Julia Sophia Crone ◽  
Elisabeth Verena Schmid ◽  
...  
Author(s):  
Barbora Kolářová ◽  
Jim Richards ◽  
Hana Ondráčková ◽  
Klára Lippertová ◽  
Louise Connell ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-20 ◽  
Author(s):  
Alkinoos Athanasiou ◽  
Nikos Terzopoulos ◽  
Niki Pandria ◽  
Ioannis Xygonakis ◽  
Nicolas Foroglou ◽  
...  

Reciprocal communication of the central and peripheral nervous systems is compromised during spinal cord injury due to neurotrauma of ascending and descending pathways. Changes in brain organization after spinal cord injury have been associated with differences in prognosis. Changes in functional connectivity may also serve as injury biomarkers. Most studies on functional connectivity have focused on chronic complete injury or resting-state condition. In our study, ten right-handed patients with incomplete spinal cord injury and ten age- and gender-matched healthy controls performed multiple visual motor imagery tasks of upper extremities and walking under high-resolution electroencephalography recording. Directed transfer function was used to study connectivity at the cortical source space between sensorimotor nodes. Chronic disruption of reciprocal communication in incomplete injury could result in permanent significant decrease of connectivity in a subset of the sensorimotor network, regardless of positive or negative neurological outcome. Cingulate motor areas consistently contributed the larger outflow (right) and received the higher inflow (left) among all nodes, across all motor imagery categories, in both groups. Injured subjects had higher outflow from left cingulate than healthy subjects and higher inflow in right cingulate than healthy subjects. Alpha networks were less dense, showing less integration and more segregation than beta networks. Spinal cord injury patients showed signs of increased local processing as adaptive mechanism. This trial is registered with NCT02443558.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Jessica Cantillo-Negrete ◽  
Ruben I. Carino-Escobar ◽  
Paul Carrillo-Mora ◽  
David Elias-Vinas ◽  
Josefina Gutierrez-Martinez

Motor imagery-based brain-computer interfaces (BCI) have shown potential for the rehabilitation of stroke patients; however, low performance has restricted their application in clinical environments. Therefore, this work presents the implementation of a BCI system, coupled to a robotic hand orthosis and driven by hand motor imagery of healthy subjects and the paralysed hand of stroke patients. A novel processing stage was designed using a bank of temporal filters, the common spatial pattern algorithm for feature extraction and particle swarm optimisation for feature selection. Offline tests were performed for testing the proposed processing stage, and results were compared with those computed with common spatial patterns. Afterwards, online tests with healthy subjects were performed in which the orthosis was activated by the system. Stroke patients’ average performance was 74.1 ± 11%. For 4 out of 6 patients, the proposed method showed a statistically significant higher performance than the common spatial pattern method. Healthy subjects’ average offline and online performances were of 76.2 ± 7.6% and 70 ± 6.7, respectively. For 3 out of 8 healthy subjects, the proposed method showed a statistically significant higher performance than the common spatial pattern method. System’s performance showed that it has a potential to be used for hand rehabilitation of stroke patients.


Author(s):  
Muhammad Nabeel Anwar ◽  
Vittorio Sanguineti ◽  
Pietro Giovanni Morasso ◽  
Koji Ito

Author(s):  
Joanna Jarmolowska ◽  
Aleksandar Miladinović ◽  
Eddi Valvason ◽  
Pierpaolo Busan ◽  
Miloš Ajčević ◽  
...  

2012 ◽  
Vol 85 (3) ◽  
pp. 418 ◽  
Author(s):  
G.N. Boldyreva ◽  
L.A. Zhavoronkova ◽  
E.V. Sharova ◽  
O.A. Simonova ◽  
L.P. Titova ◽  
...  

2013 ◽  
Vol 12 (2) ◽  
pp. 30-39 ◽  
Author(s):  
O. A. Mokienko ◽  
P. D. Bobrov ◽  
L. A. Chernikova ◽  
A. A. Frolov

The aim of study was to assess the feasibility of motor imagery supported brain-computer interface in patients with hemiparesis. 13 patients with central paresis of the hand and 15 healthy volunteers were learning to control EEG-based interface with feedback. No differences on interface control quality were found between patients and healthy subjects. The trainings were accompanied by the desynchronization of sensorimotor rhythm. In patients with cortical damage the source of EEG-activity was dislocated.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Amandine Décombe ◽  
Lionel Brunel ◽  
Vincent Murday ◽  
François Osiurak ◽  
Delphine Capdevielle ◽  
...  

AbstractHumans frequently use tools to reduce action-related efforts. Interestingly, several studies have demonstrated that individuals had tool-related biases in terms of perceived effort reduction during motor imagery tasks, despite the lack of evidence of real benefits. Reduced effort allocation has been repeatedly found in schizophrenia, but it remains unknown how schizophrenia patients perceive tool-related benefits regarding effort. Twenty-four schizophrenia patients and twenty-four nonclinical participants were instructed to move the same quantities of objects with their hands or with a tool in both real and imagined situations. Imagined and real movement durations were recorded. Similarly to nonclinical participants, patients overestimated tool-related benefits and underestimated tool-related effort in terms of time when they mentally simulated a task requiring the use of a tool. No association between movement durations and psychotic symptoms was found. Our results open new perspectives on the issue of effort in schizophrenia.


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