Title :
Alpha-band characteristics in EEG spectrum indicate reliability of frontal brain asymmetry measures in diagnosis of depression.
Author :
Niemiec, Andrew J. ; Lithgow, Brian J.
Author_Institution :
Centre for Biomed. Eng., Monash Univ., Clayton, Vic.
Abstract :
Asymmetry in brain activity has been hypothesised to be a potential marker for depression. However, it is not yet fully understood nor is it reliable enough to be in regular clinical use. In this study frontal electroencephalograph (EEG) recordings were taken from 21 subjects, from which frontal brain asymmetry (FBA) ratios were calculated. The results were classified according to whether or not the subject had a recent history of depression, and by the presence or absence of a characteristic peak in the `alpha´ region of the EEG spectrum. It was found that subjects with current or previous incidence of depressive disorders tend to have an FBA ratio that lies towards the extremities of the distribution, and that the presence of a `clear alpha peak´ made the assessment process more reliable
Keywords :
electroencephalography; medical signal processing; patient diagnosis; signal classification; EEG spectrum; alpha-band characteristics; clear alpha peak; depression diagnosis; frontal brain asymmetry measures; frontal electroencephalograph recordings; signal classification; Arithmetic; Biomedical engineering; Biomedical measurements; Brain modeling; Delay; Electroencephalography; Extremities; History; Measurement techniques; Medical diagnostic imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616251