Semantics in the motor system: motor-cortical beta oscillations reflect semantic knowledge of end-postures for object use
Publication year
2010Number of pages
12 p.
Source
Frontiers in Human Neuroscience, 4, (2010), article 8ISSN
Publication type
Article / Letter to editor
Display more detailsDisplay less details
Organization
SW OZ DCC CO
SW OZ BSI SCP
Journal title
Frontiers in Human Neuroscience
Volume
vol. 4
Languages used
English (eng)
Subject
Action, intention, and motor control; Behaviour Change and Well-being; DI-BCB_DCC_Theme 2: Perception, Action and ControlAbstract
In the present EEG study we investigated whether semantic knowledge for object use is represented in motor-related brain areas. Subjects were required to perform actions with everyday objects and to maintain either a meaningful or a meaningless end posture with the object. Analysis of the EEG data focused on the beta-frequency band, as previous studies have indicated that the maintenance of a posture is reflected in stronger beta-oscillations. Time frequency analysis indicated that the execution of actions resulting in a meaningless compared to a meaningful end posture was accompanied by a stronger beta-desynchronization towards the end of the movement and a stronger subsequent beta-rebound after posture-onset. The effect in the beta-frequency band was localized to premotor, parietal and medial frontal areas and could not be attributed to differences in timing or movement complexity between meaningful and meaningless actions. Together these findings directly show that the motor system is differentially activated during the execution and maintenance of semantically correct or incorrect end postures. This suggests that semantic object knowledge is indeed represented in motor-related brain areas, organized around specific end postures associated with the use of objects.
This item appears in the following Collection(s)
- Academic publications [246764]
- Electronic publications [134215]
- Faculty of Social Sciences [30508]
- Open Access publications [107738]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.