脑电图频谱中的阿尔法波段特征表明额叶脑不对称测量在抑郁症诊断中的可靠性。
Alpha-band characteristics in EEG spectrum indicate reliability of frontal brain asymmetry measures in diagnosis of depression.
作者信息
Niemiec Andrew, Lithgow Brian
机构信息
postgraduate student, Diagnostic and Neurosignal Processing Research Group, Monash University Centre for Biomedical Engineering, Monash University, Clayton, Victoria, Australia. Phone: +61 3 99053489. Email:
出版信息
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:7517-20. doi: 10.1109/IEMBS.2005.1616251.
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.
大脑活动的不对称性被假设为抑郁症的一个潜在标志物。然而，其尚未被完全理解，也不够可靠，无法常规应用于临床。在本研究中，对21名受试者进行了额叶脑电图（EEG）记录，并计算了额叶脑不对称（FBA）比率。根据受试者是否有近期抑郁症病史以及脑电图频谱“α”区域是否存在特征性峰值对结果进行分类。结果发现，患有当前或既往抑郁症的受试者往往具有处于分布两端的FBA比率，并且“清晰的α波峰值”的存在使评估过程更加可靠。
Zotero 插件