Processing Concepts and Scenarios: Electrophysiological Findings on Language Representation

Studying the underlying neuronal substrate of language processing with electrophysiological techniques, we could provide evidence for a physiological reality of linguistic categories. The processing of abstract concepts (Nouns) activates a less complicated network in the brain, thus showing different functional representation than concrete concepts. As we have demonstrated earlier this is only true with respect to those frequency bands of the EEG, which reflect higher cognitive processes. In other frequency bands the processing of both abstract and concrete nouns activates similar networks. This can be explained by the fact that mere acoustical and visual word perception does not differ between concrete and abstract nouns. The comprehension of complex sentences requires analysis of whole scenarios depending on phonological, syntactic and semantic entities across time. This can also be monitored by EEG-analysis. Even working memory demands can be observed in frontal cortical regions during sentence processing. EEG coherence analysis seems to be an important tool for the investigation of the physiology of language representation and supports theoretical findings in linguistics and philosophy of language.

[1]  A. Caramazza,et al.  Representation of Grammatical Categories of Words in the Brain , 1995, Journal of Cognitive Neuroscience.

[2]  E. Bizzi,et al.  The Cognitive Neurosciences , 1996 .

[3]  C. Gallistel,et al.  Preverbal and verbal counting and computation , 1992, Cognition.

[4]  P. T. Fox,et al.  Positron emission tomographic studies of the cortical anatomy of single-word processing , 1988, Nature.

[5]  S. Weiss,et al.  EEG coherence within the 13–18 Hz band as a correlate of a distinct lexical organisation of concrete and abstract nouns in humans , 1996, Neuroscience Letters.

[6]  W. Singer.  Synchronization of cortical activity and its putative role in information processing and learning. , 1993, Annual review of physiology.

[7]  D. Olton,et al.  Neurobiology of Comparative Cognition , 1990 .

[8]  E. Basar,et al.  Gamma-band responses in the brain: a short review of psychophysiological correlates and functional significance. , 1996, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[9]  H. M. Müller,et al.  Event-related potentials elicited by spoken relative clauses. , 1997, Brain research. Cognitive brain research.

[10]  Sabine Weiss,et al.  EEG coherence analysis of auditory sentence processing , 1997 .

[11]  L. Tyler,et al.  Abstract Word Deficits in Aphasia: Evidence From Semantic Priming , 1995 .

[12]  H. M. Müller,et al.  What's in a name? Electrophysiological differences between spoken nouns, proper names and one's own name , 1996, Neuroreport.

[13]  Lise Menn,et al.  Concreteness: Nouns, Verbs, and Hemispheres , 1990, Cortex.

[14]  E. Niedertneyer.  Quantitative and topological EEG and MEG analysis , 1996 .

[15]  W. Singer,et al.  Relation between oscillatory activity and long-range synchronization in cat visual cortex. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[16]  Amplitude and coherence analysis of visual imagery and visual perception , 1995 .

[17]  Christoph von der Malsburg,et al.  The Correlation Theory of Brain Function , 1994 .

[18]  H Petsche,et al.  Brain electrical mechanisms of bilingual speech management: an initial investigation. , 1993, Electroencephalography and clinical neurophysiology.

[19]  Geoffrey E. Hinton,et al.  Lesioning an attractor network: investigations of acquired dyslexia , 1991 .

[20]  W. Singer,et al.  Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties , 1989, Nature.

[21]  F. D. Silva.  Neural mechanisms underlying brain waves: from neural membranes to networks. , 1991 .

[22]  Fraser A. Bleasdale,et al.  Concreteness-dependent associative priming: Separate lexical organization for concrete and abstract words. , 1987 .

[23]  Richard D. Hichwa,et al.  A neural basis for lexical retrieval , 1996, Nature.

[24]  M. Steriade.  The Mind-Brain Continuum edited by Rodolfo Llinás and Patricia S. Churchland, MIT Press, 1996. $50.00 (xi + 315 pages) ISBN 0 262 12198 0 , 1997, Trends in Neurosciences.

[25]  M. Farah.  The neural basis of mental imagery , 1989, Trends in Neurosciences.

[26]  S. Bressler.  The gamma wave: a cortical information carrier? , 1990, Trends in Neurosciences.

[27]  S. Weiß.  EEG-Kohärenz und Sprachverarbeitung. Die funktionelle Verkopplung von Gehirnregionen während der Verarbeitung unterschiedlicher Nomina , 1997 .

[28]  A. Garnham,et al.  Mental models in cognitive science: Essays in honour of Phil Johnson-Laird , 1996 .

[29]  W Singer,et al.  Coherence as an organizing principle of cortical functions. , 1994, International review of neurobiology.

[30]  Sabine Weiss,et al.  Lexical processing within the brain: evidence from EEG spectral analysis and dynamic topographic coherence analysis , 1997 .

[31]  Y. Abdullaev,et al.  Neuronal correlate of the higher-order semantic code in human prefrontal cortex in language tasks. , 1993, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.