Title :
Spectral Analysis of Category-specific Knowledge in the Intact Brain
Author_Institution :
Dept. of Comput. Sci., Essex Univ., Colchester
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
This paper implements spectral analysis of scalp EEG recordings during a language naming and visualisation task. The method offers new frontier to explore spatio-temporal features of the organisation of conceptual knowledge in the intact brain. Our findings tallies with results reported in the literature using other techniques such as fMRI. The method introduced in this paper provides new perspective for understanding and possibly diagnosing category specific semantic deficits
Keywords :
electroencephalography; knowledge representation; linguistics; neurophysiology; psychology; spatiotemporal phenomena; spectral analysis; visual perception; category-specific knowledge; concept naming; conceptual knowledge; fMRI; intact brain; knowledge representation; language naming task; scalp EEG recordings; semantic deficits; spatio-temporal features; spectral analysis; visualisation task; Animals; Cities and towns; Computer science; Electrodes; Electroencephalography; Knowledge engineering; Scalp; Spectral analysis; USA Councils; Visualization; EEG analysis; Knowledge representation; concept naming; language; spatio-temporal analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259471