The Changes of qEEG Approximate Entropy during Test of Variables of Attention as a Predictor of Major Depressive Disorder

Brain Sciences

Tsu-Wang Shen¹  Li-Chi Ku²  Shao-Tsu Chen³  Shaw-Ji Chen⁴ 

[1] Department of Automatic Control Engineering, Feng Chia University, Taichung 40724, Taiwan;Department of Medical Informatics, Tzu Chi University, Hualien 970, Taiwan;Department of Psychiatry, Hualien Tzu Chi Hospital, Buddhist Tzu-Chi Medical Foundation, Hualien 970, Taiwan;Department of Psychiatry, Taitung MacKay Memorial Hospital, Taitung County 950, Taiwan;

关键词: quantitative electroencephalography;    test of variables of attention;    major depressive disorder;    approximate entropy;    cordance;   

DOI  :  10.3390/brainsci10110828

来源: DOAJ

【 摘 要 】

Evaluating brain function through biosignals remains challenging. Quantitative electroencephalography (qEEG) outcomes have emerged as a potential intermediate biomarker for diagnostic clarification in psychological disorders. The Test of Variables of Attention (TOVA) was combined with qEEG to evaluate biomarkers such as absolute power, relative power, cordance, and approximate entropy from covariance matrix images to predict major depressive disorder (MDD). EEG data from 18 healthy control and 18 MDD patients were monitored during the resting state and TOVA. TOVA was found to provide aspects for the evaluation of MDD beyond resting electroencephalography. The results showed that the prefrontal qEEG theta cordance of the control and MDD groups were significantly different. For comparison, the changes in qEEG approximate entropy (ApEn) patterns observed during TOVA provided features to distinguish between participants with or without MDD. Moreover, ApEn scores during TOVA were a strong predictor of MDD, and the ApEn scores correlated with the Beck Depression Inventory (BDI) scores. Between-group differences in ApEn were more significant for the testing state than for the resting state. Our results provide further understanding for MDD treatment selection and response prediction during TOVA.

【 授权许可】

Unknown