The loudness dependence of the auditory evoked potential (LDAEP) as a predictor of the response to escitalopram in patients with generalized anxiety disorder
The loudness dependence of the auditory evoked potential (LDAEP) as a predictor of the response to escitalopram in patients with generalized anxiety disorder
复制标题
DOI:
10.1007/s00213-010-2061-y
复制
发表时间:
2011-02-01
影响因子:
3.4
通讯作者:
Lee, Seung-Hwan
中科院分区:
文献类型:
--
作者:
Park, Young-Min;Kim, Do-Won;Lee, Seung-Hwan
The loudness dependence of the auditory evoked potential (LDAEP) has been proposed as a potential biological marker of central serotonergic activity. This study aimed to test the hypothesis that the LDAEP can be used to predict the response to escitalopram in patients with GAD.Twenty-five patients with GAD were recruited. Scores on the Hamilton Anxiety Rating Scale (HAM-A), Clinical Global Impression-Severity Scale (CGI-S), and Beck Anxiety Inventory (BAI) were evaluated. To evaluate the LDAEP, the auditory event-related potential was measured before beginning medication. Peak-to-peak N1/P2 amplitudes and current source densities were calculated at five stimulus intensities, and the LDAEP was calculated as the linear-regression slope. The current source densities of the evoked potentials were analyzed by standardized low-resolution brain electromagnetic tomography (sLORETA). The loudness dependence of the current densities (sLORETA-LDAEP) was also calculated.The pretreatment LDAEPs of all patients were positively correlated with the CGI-S response rates at 4 and 8 weeks, and with the HAM-A and BAI response rates at 8 weeks. The sLORETA-LDAEPs were positively correlated with the HAM-A response rates after 8 weeks of treatment. The HAM-A and CGI response rates at 8 weeks were higher in patients with a strong pretreatment LDAEP than in those with a weak LDAEP.The present study revealed that GAD patients with a favorable response to escitalopram treatment are characterized by a stronger pretreatment LDAEP. Measurement of the LDAEP appears to provide useful clinical information for predicting treatment responses in patients with GAD.