| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| C Dettmers, N Braun, I Büsching, T Hassa, S Debener, J Lieper. [Neurofeedback-based motor imagery training for rehabilitation after stroke]. Der Nervenarzt. vol 87. issue 10. 2017-03-20. PMID:27573884. |
the presumed functional equivalence of motor imagery and motor execution has given hope that mental training could be used for motor rehabilitation after a stroke. |
2017-03-20 |
2023-08-13 |
Not clear |
| C Dettmers, N Braun, I Büsching, T Hassa, S Debener, J Lieper. [Neurofeedback-based motor imagery training for rehabilitation after stroke]. Der Nervenarzt. vol 87. issue 10. 2017-03-20. PMID:27573884. |
moreover, more recent approaches, such as neurofeedback-based motor imagery or closed-loop systems are presented and the potential importance for motor learning and rehabilitation after a stroke is discussed. |
2017-03-20 |
2023-08-13 |
Not clear |
| D García Carrasco, J Aboitiz Cantalapiedr. Effectiveness of motor imagery or mental practice in functional recovery after stroke: a systematic review. Neurologia (Barcelona, Spain). vol 31. issue 1. 2017-02-23. PMID:23601759. |
effectiveness of motor imagery or mental practice in functional recovery after stroke: a systematic review. |
2017-02-23 |
2023-08-12 |
human |
| Li Wang, Jingna Zhang, Ye Zhang, Rubing Yan, Hongliang Liu, Mingguo Qi. Conditional Granger Causality Analysis of Effective Connectivity during Motor Imagery and Motor Execution in Stroke Patients. BioMed research international. vol 2016. 2017-02-13. PMID:27200373. |
conditional granger causality analysis of effective connectivity during motor imagery and motor execution in stroke patients. |
2017-02-13 |
2023-08-13 |
human |
| Li Wang, Jingna Zhang, Ye Zhang, Rubing Yan, Hongliang Liu, Mingguo Qi. Conditional Granger Causality Analysis of Effective Connectivity during Motor Imagery and Motor Execution in Stroke Patients. BioMed research international. vol 2016. 2017-02-13. PMID:27200373. |
the increase in effective connectivity suggests that motor imagery enhances core corticocortical interactions, promotes internal interaction in damaged hemispheres in stroke patients, and may facilitate recovery of motor function. |
2017-02-13 |
2023-08-13 |
human |
| Wya Feenstra, Marga Tepper, Anne M Boonstra, Bert Otten, Sjoerd de Vrie. Recovery of motor imagery ability in the first year after stroke. International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation. vol 39. issue 2. 2017-01-31. PMID:26963641. |
recovery of motor imagery ability in the first year after stroke. |
2017-01-31 |
2023-08-13 |
Not clear |
| Wya Feenstra, Marga Tepper, Anne M Boonstra, Bert Otten, Sjoerd de Vrie. Recovery of motor imagery ability in the first year after stroke. International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation. vol 39. issue 2. 2017-01-31. PMID:26963641. |
the aim of this study was to examine the level and recovery of motor imagery ability (mia) in the first year after stroke and whether the recovery of mia is related to that of arm/hand function. |
2017-01-31 |
2023-08-13 |
Not clear |
| Augusto Fusco, Maria Chiara Gallotta, Marco Iosa, Giovanni Morone, Luigi Iasevoli, Domenica Trifoglio, Vincenzo Maria Saraceni, Stefano Paolucci, Carlo Baldari, Laura Guidett. The dynamic motor imagery of locomotion is task-dependent in patients with stroke. Restorative neurology and neuroscience. vol 34. issue 2. 2016-12-19. PMID:26889966. |
the dynamic motor imagery of locomotion is task-dependent in patients with stroke. |
2016-12-19 |
2023-08-13 |
Not clear |
| Ye Liu, Hao Zhang, Min Chen, Liqing Zhan. A Boosting-Based Spatial-Spectral Model for Stroke Patients' EEG Analysis in Rehabilitation Training. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol 24. issue 1. 2016-10-05. PMID:26302519. |
studies have shown that a motor imagery electro encephalogram (eeg)-based brain-computer interface (bci) system can be used as a rehabilitation tool for stroke patients. |
2016-10-05 |
2023-08-13 |
Not clear |
| Ye Liu, Hao Zhang, Min Chen, Liqing Zhan. A Boosting-Based Spatial-Spectral Model for Stroke Patients' EEG Analysis in Rehabilitation Training. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol 24. issue 1. 2016-10-05. PMID:26302519. |
to the best of our knowledge, there is no agreed upon clinical conclusion about motor imagery patterns of stroke patients. |
2016-10-05 |
2023-08-13 |
Not clear |
| Claire Kemlin, Eric Moulton, Yves Samson, Charlotte Ross. Do Motor Imagery Performances Depend on the Side of the Lesion at the Acute Stage of Stroke? Frontiers in human neuroscience. vol 10. 2016-07-22. PMID:27445761. |
do motor imagery performances depend on the side of the lesion at the acute stage of stroke? |
2016-07-22 |
2023-08-13 |
human |
| Claire Kemlin, Eric Moulton, Yves Samson, Charlotte Ross. Do Motor Imagery Performances Depend on the Side of the Lesion at the Acute Stage of Stroke? Frontiers in human neuroscience. vol 10. 2016-07-22. PMID:27445761. |
the aim of this study was to compare explicit and implicit motor imagery abilities in stroke patients and healthy subjects, correlate them with motor function, and investigate the role of right or left hemisphere lesions on performance. |
2016-07-22 |
2023-08-13 |
human |
| Claire Kemlin, Eric Moulton, Yves Samson, Charlotte Ross. Do Motor Imagery Performances Depend on the Side of the Lesion at the Acute Stage of Stroke? Frontiers in human neuroscience. vol 10. 2016-07-22. PMID:27445761. |
twenty-four stroke patients at the acute stage and 24 age- and gender-matched healthy volunteers performed implicit (hand laterality judgment task) and explicit (number of imagined/executed hand movements) motor imagery tasks and a clinical motor assessment. |
2016-07-22 |
2023-08-13 |
human |
| Hyungjun Im, Jeunghun Ku, Hyun Jung Kim, Youn Joo Kan. Virtual Reality-Guided Motor Imagery Increases Corticomotor Excitability in Healthy Volunteers and Stroke Patients. Annals of rehabilitation medicine. vol 40. issue 3. 2016-07-22. PMID:27446778. |
virtual reality-guided motor imagery increases corticomotor excitability in healthy volunteers and stroke patients. |
2016-07-22 |
2023-08-13 |
human |
| Hyungjun Im, Jeunghun Ku, Hyun Jung Kim, Youn Joo Kan. Virtual Reality-Guided Motor Imagery Increases Corticomotor Excitability in Healthy Volunteers and Stroke Patients. Annals of rehabilitation medicine. vol 40. issue 3. 2016-07-22. PMID:27446778. |
to investigate the effects of using motor imagery (mi) in combination with a virtual reality (vr) program on healthy volunteers and stroke patients. |
2016-07-22 |
2023-08-13 |
human |
| Hiroshi Yokoyama, Isao Nambu, Jun Izawa, Yasuhiro Wad. Temporal changes of beta rhythms and rotation-related negativity reflect switches in motor imagery. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2014. 2016-07-14. PMID:25570212. |
while motor imagery has been known as a powerful tool for neuro-rehabilitation in stroke patients, whether this technique is also effective for other brain disorders is unclear. |
2016-07-14 |
2023-08-13 |
human |
| M Petti, D Mattia, F Pichiorri, J Toppi, S Salinari, F Babiloni, L Astolfi, F Cincott. A new descriptor of neuroelectrical activity during BCI-assisted motor imagery-based training in stroke patients. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2014. 2016-07-04. PMID:25570196. |
in bci applications for stroke rehabilitation, bci systems are used with the aim of providing patients with an instrument that is capable of monitoring and reinforcing eeg patterns generated by motor imagery (mi). |
2016-07-04 |
2023-08-13 |
Not clear |
| Da-Hye Kim, Leahyun Kim, Wanjoo Park, Won Hyuk Chang, Yun-Hee Kim, Seong-Whan Lee, Gyu Hyun Kwo. Analysis of Time-Dependent Brain Network on Active and MI Tasks for Chronic Stroke Patients. PloS one. vol 10. issue 12. 2016-06-20. PMID:26656269. |
we analyzed the temporal properties of the brain networks for nine chronic stroke patients by the active and motor imagery tasks by eeg. |
2016-06-20 |
2023-08-13 |
Not clear |
| Eduard Kraft, Matthias C Schaal, Dorothee Lule, Eberhard König, Klaus Scheidtman. The functional anatomy of motor imagery after sub-acute stroke. NeuroRehabilitation. vol 36. issue 3. 2016-05-19. PMID:26409336. |
the functional anatomy of motor imagery after sub-acute stroke. |
2016-05-19 |
2023-08-13 |
Not clear |
| Vijaya K Kumar, M Chakrapani, Rakshith Kedambad. Motor Imagery Training on Muscle Strength and Gait Performance in Ambulant Stroke Subjects-A Randomized Clinical Trial. Journal of clinical and diagnostic research : JCDR. vol 10. issue 3. 2016-05-02. PMID:27134985. |
motor imagery training on muscle strength and gait performance in ambulant stroke subjects-a randomized clinical trial. |
2016-05-02 |
2023-08-13 |
Not clear |