Choosing the Optimal Trigger Point for Analysis of Movements after Stroke Based on Magnetoencephalographic Recordings
The aim of this study was to select the optimal procedure for analysing motor fields (MF) and motor evoked fields (MEF) measured from brain injured patients. Behavioural pretests with patients have shown that most of them cannot stand measurements longer than 30 minutes and they also prefer to move...
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | Stroke Research and Treatment |
| Online Access: | http://dx.doi.org/10.4061/2010/467673 |
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| _version_ | 1849400090797539328 |
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| author | Guido Waldmann Michael Schauer Hartwig Woldag Horst Hummelsheim |
| author_facet | Guido Waldmann Michael Schauer Hartwig Woldag Horst Hummelsheim |
| author_sort | Guido Waldmann |
| collection | DOAJ |
| description | The aim of this study was to select the optimal procedure for analysing motor fields (MF) and motor evoked fields (MEF) measured from brain injured patients. Behavioural pretests with patients have shown that most of them cannot stand measurements longer than 30 minutes and they also prefer to move the hand with rather short breaks between movements. Therefore, we were unable to measure the motor field (MF) optimally. Furthermore, we planned to use MEF to monitor cortical plasticity in a motor rehabilitation procedure. Classically, the MF analysis refers to rather long epochs around the movement onset (M-onset). We shortened the analysis epoch down to a range from 1000 milliseconds before until 500 milliseconds after M-onset to fulfil the needs of the patients. Additionally, we recorded the muscular activity (EMG) by surface electrodes on the extensor carpi ulnaris and flexor carpi ulnaris muscles. Magnetoencephalographic (MEG) data were recorded from 9 healthy subjects, who executed horizontally brisk extension and flexion in the right wrist. Significantly higher MF dipole strength was found in data based on EMG-onset than in M-onset based data. There was no difference in MEF I dipole strength between the two trigger latencies. In conclusion, we recommend averaging in respect to the EMG-onset for the analysis of both components MF as well as MEF. |
| format | Article |
| id | doaj-art-a0370d1cdf4a40c9affd3c7472c8deea |
| institution | Kabale University |
| issn | 2042-0056 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Stroke Research and Treatment |
| spelling | doaj-art-a0370d1cdf4a40c9affd3c7472c8deea2025-08-20T03:38:11ZengWileyStroke Research and Treatment2042-00562010-01-01201010.4061/2010/467673467673Choosing the Optimal Trigger Point for Analysis of Movements after Stroke Based on Magnetoencephalographic RecordingsGuido Waldmann0Michael Schauer1Hartwig Woldag2Horst Hummelsheim3Neurologisches Rehabilitationszentrum Leipzig, University of Leipzig, Muldentalweg 1, 04828 Bennewitz, GermanyMax Planck Institute for Human Cognitive and Brain Science, P.O. Box 500 355, 04303 Leipzig, GermanyNeurologisches Rehabilitationszentrum Leipzig, University of Leipzig, Muldentalweg 1, 04828 Bennewitz, GermanyNeurologisches Rehabilitationszentrum Leipzig, University of Leipzig, Muldentalweg 1, 04828 Bennewitz, GermanyThe aim of this study was to select the optimal procedure for analysing motor fields (MF) and motor evoked fields (MEF) measured from brain injured patients. Behavioural pretests with patients have shown that most of them cannot stand measurements longer than 30 minutes and they also prefer to move the hand with rather short breaks between movements. Therefore, we were unable to measure the motor field (MF) optimally. Furthermore, we planned to use MEF to monitor cortical plasticity in a motor rehabilitation procedure. Classically, the MF analysis refers to rather long epochs around the movement onset (M-onset). We shortened the analysis epoch down to a range from 1000 milliseconds before until 500 milliseconds after M-onset to fulfil the needs of the patients. Additionally, we recorded the muscular activity (EMG) by surface electrodes on the extensor carpi ulnaris and flexor carpi ulnaris muscles. Magnetoencephalographic (MEG) data were recorded from 9 healthy subjects, who executed horizontally brisk extension and flexion in the right wrist. Significantly higher MF dipole strength was found in data based on EMG-onset than in M-onset based data. There was no difference in MEF I dipole strength between the two trigger latencies. In conclusion, we recommend averaging in respect to the EMG-onset for the analysis of both components MF as well as MEF.http://dx.doi.org/10.4061/2010/467673 |
| spellingShingle | Guido Waldmann Michael Schauer Hartwig Woldag Horst Hummelsheim Choosing the Optimal Trigger Point for Analysis of Movements after Stroke Based on Magnetoencephalographic Recordings Stroke Research and Treatment |
| title | Choosing the Optimal Trigger Point for Analysis of Movements after Stroke Based on Magnetoencephalographic Recordings |
| title_full | Choosing the Optimal Trigger Point for Analysis of Movements after Stroke Based on Magnetoencephalographic Recordings |
| title_fullStr | Choosing the Optimal Trigger Point for Analysis of Movements after Stroke Based on Magnetoencephalographic Recordings |
| title_full_unstemmed | Choosing the Optimal Trigger Point for Analysis of Movements after Stroke Based on Magnetoencephalographic Recordings |
| title_short | Choosing the Optimal Trigger Point for Analysis of Movements after Stroke Based on Magnetoencephalographic Recordings |
| title_sort | choosing the optimal trigger point for analysis of movements after stroke based on magnetoencephalographic recordings |
| url | http://dx.doi.org/10.4061/2010/467673 |
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