Neurophysiological predictors of non-response to rTMS in depression

被引:133
作者
Arns, Martijn [1 ,2 ]
Drinkenburg, Wilhelmus H. [3 ]
Fitzgerald, Paul B. [4 ,5 ]
Kenemans, J. Leon [2 ]
机构
[1] Res Inst Brainclin, Nijmegen, Netherlands
[2] Univ Utrecht, Dept Expt Psychol, NL-3508 TC Utrecht, Netherlands
[3] Janssen Res & Dev, Beerse, Belgium
[4] The Alfred, Monash Alfred Psychiat Ctr, Melbourne, Vic, Australia
[5] Monash Univ, Sch Psychol & Psychiat, Melbourne, Vic 3004, Australia
基金
澳大利亚国家健康与医学研究理事会;
关键词
rTMS; EEG; ERP; Personalized medicine; Depression; Alpha frequency; TRANSCRANIAL MAGNETIC STIMULATION; ATTENTION-DEFICIT/HYPERACTIVITY DISORDER; DORSOLATERAL PREFRONTAL CORTEX; EVENT-RELATED POTENTIALS; ANTIDEPRESSANT RESPONSE; PERCEPTUAL ASYMMETRY; NEUROTROPHIC FACTOR; QUANTITATIVE EEG; DOUBLE-BLIND; MEDICATION;
D O I
10.1016/j.brs.2011.12.003
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: The application of rTMS in Depression has been very well investigated over the last few years. However, little is known about predictors of non-response associated with rTMS treatment. Objective: This study examined neurophysiological parameters (EEG and ERP) in 90 depressed patients treated with rTMS and psychotherapy and sought to identify predictors of non-response. Methods: This study is a multi-site open-label study assessing pre-treatment EEG and ERP measures associated with non-response to rTMS treatment. Results: Non-responders were characterized by 1) Increased fronto-central theta EEG power, 2) a slower anterior individual alpha peak frequency, 3) a larger P300 amplitude, and 4) decreased pre-frontal delta and beta cordance. A discriminant analysis yielded a significant model, and subsequent ROC curve demonstrated an area under the curve of 0.814. Conclusions: Several EEG variables demonstrated clear differences between R and NR such as the anterior iAPF, fronto-central Theta and pre-frontal cordance in the Delta and Beta band (representative of increased relative pre-frontal perfusion). The increased P300 amplitude as a predictor for non-response requires further study, since this was the opposite as hypothesized and there were no correlations of this measure with clinical improvement for the whole sample. Combining these biomarkers in a discriminant analysis resulted in a reliable identification of non-responders with low false positive rates. Future studies should prospectively replicate these findings and also further investigate appropriate treatments for the sub-groups of non-responders identified in this study, given that most of these biomarkers have also been found in antidepressant medication studies. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:569 / 576
页数:8
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