Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG
EEG is the most common technique for studying neuronal dynamics of the human brain. However, electromyogenic artifacts from cranial muscles and ocular muscles executing involuntary microsaccades compromise estimates of neuronal activity in the gamma band (> 30 Hz). Yet, the relative contribut...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2013-07-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00338/full |
| _version_ | 1818302882560081920 |
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| author | Joerg F Hipp Joerg F Hipp Markus eSiegel Markus eSiegel |
| author_facet | Joerg F Hipp Joerg F Hipp Markus eSiegel Markus eSiegel |
| author_sort | Joerg F Hipp |
| collection | DOAJ |
| description | EEG is the most common technique for studying neuronal dynamics of the human brain. However, electromyogenic artifacts from cranial muscles and ocular muscles executing involuntary microsaccades compromise estimates of neuronal activity in the gamma band (> 30 Hz). Yet, the relative contributions and practical consequences of these artifacts remain unclear. Here, we systematically dissected the effects of these different artifacts on studying visual gamma-band activity with EEG on the sensor and source level, and show strategies to cope with these confounds. We found that cranial muscle activity prevented a direct investigation of neuronal gamma-band activity at the sensor level. Furthermore, we found prolonged microsaccade-related artifacts beyond the well-known transient EEG confounds. We then show that if electromyogenic artifacts are carefully accounted for, the EEG nonetheless allows for studying visual gamma-band activity even at the sensor level. Furthermore, we found that source analysis based on spatial filtering does not only map the EEG signals to the cortical space of interest, but also efficiently accounts for cranial and ocular muscle artifacts. Together, our results clarify the relative contributions and characteristics of myogenic artifacts confounding visual gamma band activity in EEG, and provide practical guidelines for future experiments. |
| first_indexed | 2024-12-13T05:45:58Z |
| format | Article |
| id | doaj.art-28ee4d9c749141b49227b5044d6da769 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-13T05:45:58Z |
| publishDate | 2013-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-28ee4d9c749141b49227b5044d6da7692022-12-21T23:57:40ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612013-07-01710.3389/fnhum.2013.0033855268Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEGJoerg F Hipp0Joerg F Hipp1Markus eSiegel2Markus eSiegel3University of TübingenUniversity of TuebingenUniversity of TübingenUniversity of TuebingenEEG is the most common technique for studying neuronal dynamics of the human brain. However, electromyogenic artifacts from cranial muscles and ocular muscles executing involuntary microsaccades compromise estimates of neuronal activity in the gamma band (> 30 Hz). Yet, the relative contributions and practical consequences of these artifacts remain unclear. Here, we systematically dissected the effects of these different artifacts on studying visual gamma-band activity with EEG on the sensor and source level, and show strategies to cope with these confounds. We found that cranial muscle activity prevented a direct investigation of neuronal gamma-band activity at the sensor level. Furthermore, we found prolonged microsaccade-related artifacts beyond the well-known transient EEG confounds. We then show that if electromyogenic artifacts are carefully accounted for, the EEG nonetheless allows for studying visual gamma-band activity even at the sensor level. Furthermore, we found that source analysis based on spatial filtering does not only map the EEG signals to the cortical space of interest, but also efficiently accounts for cranial and ocular muscle artifacts. Together, our results clarify the relative contributions and characteristics of myogenic artifacts confounding visual gamma band activity in EEG, and provide practical guidelines for future experiments.http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00338/fullElectroencephalographyVisionoscillationGamma band activitybeamformingSource analysis |
| spellingShingle | Joerg F Hipp Joerg F Hipp Markus eSiegel Markus eSiegel Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG Frontiers in Human Neuroscience Electroencephalography Vision oscillation Gamma band activity beamforming Source analysis |
| title | Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG |
| title_full | Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG |
| title_fullStr | Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG |
| title_full_unstemmed | Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG |
| title_short | Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG |
| title_sort | dissociating neuronal gamma band activity from cranial and ocular muscle activity in eeg |
| topic | Electroencephalography Vision oscillation Gamma band activity beamforming Source analysis |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00338/full |
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