| Title |
Pretreatment anterior cingulate activity predicts antidepressant treatment response in major depressive episodes
|
|---|---|
| Published in |
European Archives of Psychiatry and Clinical Neuroscience, July 2013
|
| DOI | 10.1007/s00406-013-0424-1 |
| Pubmed ID | |
| Authors |
Johannes Rentzsch, Mazda Adli, Katja Wiethoff, Ana Gómez-Carrillo de Castro, Jürgen Gallinat |
| Abstract |
Major depressive disorder leads to substantial individual and socioeconomic costs. Despite the ongoing efforts to improve the treatment for this condition, a trial-and-error approach until an individually effective treatment is established still dominates clinical practice. Searching for clinically useful treatment response predictors is one of the most promising strategies to change this quandary therapeutic situation. This study evaluated the predictive value of a biological and a clinical predictor, as well as a combination of both. Pretreatment EEGs of 31 patients with a major depressive episode were analyzed with neuroelectric brain imaging technique to assess cerebral oscillations related to treatment response. Early improvement of symptoms served as a clinical predictor. Treatment response was assessed after 4 weeks of antidepressant treatment. Responders showed more slow-frequency power in the right anterior cingulate cortex compared to non-responders. Slow-frequency power in this region was found to predict response with good sensitivity (82 %) and specificity (100 %), while early improvement showed lower accuracy (73 % sensitivity and 65 % specificity). Combining both parameters did not further improve predictive accuracy. Pretreatment activity within the anterior cingulate cortex is related to antidepressive treatment response. Our results support the search for biological treatment response predictors using electric brain activity. This technique is advantageous due to its low individual and socioeconomic burden. The benefits of combining both, a clinically and a biologically based predictor, should be further evaluated using larger sample sizes. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Unknown | 77 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 21% |
| Student > Ph. D. Student | 14 | 18% |
| Student > Bachelor | 12 | 15% |
| Student > Master | 10 | 13% |
| Professor | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 30 | 38% |
| Medicine and Dentistry | 11 | 14% |
| Neuroscience | 8 | 10% |
| Engineering | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 8 | 10% |
| Unknown | 16 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 March 2014.
All research outputs
#16,049,105
of 23,815,455 outputs
Outputs from European Archives of Psychiatry and Clinical Neuroscience
#839
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Outputs of similar age
#124,265
of 199,275 outputs
Outputs of similar age from European Archives of Psychiatry and Clinical Neuroscience
#9
of 13 outputs
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