Spectral Analysis of Category-specific Knowledge in the Intact Brain

Author

Lakany, Heba

Author_Institution

Dept. of Comput. Sci., Essex Univ., Colchester

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

6336

Lastpage

6338

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259471

Filename

4463259