MIT CogNet, The Brain Sciences ConnectionFrom the MIT Press, Link to Online Catalog
SPARC Communities
Subscriber : Stanford University Libraries » LOG IN

space

Powered By Google 
Advanced Search

 

Electrocortical Correlates of Action-words

 Markus Haerle, Friedhelm Hummel and Friedemann Pulvermueller
  
 

Abstract:
Abstract: The observation of language impairments in brain damaged patients has led to the conclusion that language is localised in certain areas of the left hemisphere. Nevertheless, psychophysiological studies applying language tasks often report activation beyond these classical areas. A model of cortical function based on the approach of Hebb's cell assemblies offers an integration of these findings. Electrophysiological studies could show the usefulness of this model in the investigation of different word-classes. This study was conducted to find further evidence by investigating EEG responses to different kinds of action related verbs. Subjects had to perform a lexical decision task in which they had to decide by button press whether visually presented stimuli were words or pseudowords. The words consisted of 3 classes of verbs: face-related, arm-related and leg-related verbs of German language. They were matched for word length and word frequency. A 60-channel-EEG-montage was used. Topographical differences between the verb-classes were found at electrode sites over motor and premotor areas. Statistical analysis revealed a verb-class x topography interaction around 250 ms after stimulus onset. Leg-related verbs led to most pronounced ingoing activity at central sites, while more lateral activity signs were seen for face-related words. This systematic relationship between semantics and the topography of word-evoked potentials is support for the Hebbian language model (Pulvermueller, BBS, 1999, (22) 253-331). These results cannot be explained by the idea that the lexical categories of words are responsible for their electrocortical correlates. Semantic aspects are crucial.

 
 


© 2010 The MIT Press
MIT Logo