The implication of functional connectivity strength in predicting treatment response of major depressive disorder: A resting EEG study

Tien Wen Lee, Yu Te Wu, Younger W.Y. Yu, Ming Chao Chen, Tai Jui Chen*

*此作品的通信作者

研究成果: Article同行評審

41 引文 斯高帕斯(Scopus)

摘要

Predicting treatment response in major depressive disorder (MDD) has been an important clinical issue given that the initial intent-to-treat response rate is only 50 to 60%. This study was designed to examine whether functional connectivity strengths of resting EEG could be potential biomarkers in predicting treatment response at 8. weeks of treatment. Resting state 3-min eyes-closed EEG activity was recorded at baseline and compared in 108 depressed patients. All patients were being treated with selective serotonin-reuptake inhibitors. Baseline coherence and power series correlation were compared between responders and non-responders evaluated at the 8th week by Hamilton Depression Rating Scale. Pearson correlation and receiver operating characteristic (ROC) analyses were applied to evaluate the performance of connectivity strengths in predicting/classifying treatment responses. The connectivity strengths of right fronto-temporal network at delta/theta frequencies differentiated responders and non-responders at the 8th week of treatment, such that the stronger the connectivity strengths, the poorer the treatment response. ROC analyses supported the value of these measures in classifying responders/non-responders. Our results suggest that fronto-temporal connectivity strengths could be potential biomarkers to differentiate responders and slow responders or non-responders in MDD.

原文English
頁(從 - 到)372-377
頁數6
期刊Psychiatry Research - Neuroimaging
194
發行號3
DOIs
出版狀態Published - 30 12月 2011

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