Biomarkers predicting antidepressant treatment response: how can we advance the field?
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Pathogenetic and Therapeutic Applications of Tumor Necrosis Factor-α (TNF-α) in Major Depressive Disorder: A Systematic ReviewBiological predictors of pharmacological therapy in anxiety disordersA Review of Biomarkers in Mood and Psychotic Disorders: A Dissection of Clinical vs. Preclinical CorrelatesData mining EEG signals in depression for their diagnostic valuePrediction of long-term treatment response to selective serotonin reuptake inhibitors (SSRIs) using scalp and source loudness dependence of auditory evoked potentials (LDAEP) analysis in patients with major depressive disorder.Magnetic Resonance Imaging Measures of Brain Structure to Predict Antidepressant Treatment Outcome in Major Depressive DisorderPathogenetic and therapeutic applications of microRNAs in major depressive disorderChronic corticosterone-mediated dysregulation of microRNA network in prefrontal cortex of rats: relevance to depression pathophysiologyThe Relationship between Fatty Acids and Different Depression-Related Brain Regions, and Their Potential Role as Biomarkers of Response to Antidepressants.Differential Peripheral Proteomic Biosignature of Fluoxetine Response in a Mouse Model of Anxiety/Depression.Potential Use of MicroRNA for Monitoring Therapeutic Response to Antidepressants.The bio-distribution of the antidepressant clomipramine is modulated by chronic stress in mice: effects on behavior.MicroRNA-Mediated Regulation of ITGB3 and CHL1 Is Implicated in SSRI Action.Common genes associated with antidepressant response in mouse and man identify key role of glucocorticoid receptor sensitivity.Progress in Elucidating Biomarkers of Antidepressant Pharmacological Treatment Response: A Systematic Review and Meta-analysis of the Last 15 Years.Identification of MicroRNA-124-3p as a Putative Epigenetic Signature of Major Depressive Disorder.Blood transcriptomic markers for major depression: from animal models to clinical settings.Understanding and Predicting Antidepressant Response: Using Animal Models to Move Toward Precision Psychiatry
P2860
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P2860
Biomarkers predicting antidepressant treatment response: how can we advance the field?
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2013 nî lūn-bûn
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2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
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2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年论文
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Biomarkers predicting antidepressant treatment response: how can we advance the field?
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Biomarkers predicting antidepressant treatment response: how can we advance the field?
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Biomarkers predicting antidepressant treatment response: how can we advance the field?
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Biomarkers predicting antidepressant treatment response: how can we advance the field?
@ast
Biomarkers predicting antidepressant treatment response: how can we advance the field?
@en
Biomarkers predicting antidepressant treatment response: how can we advance the field?
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Biomarkers predicting antidepressant treatment response: how can we advance the field?
@ast
Biomarkers predicting antidepressant treatment response: how can we advance the field?
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Biomarkers predicting antidepressant treatment response: how can we advance the field?
@nl
P2860
P3181
P356
P1433
P1476
Biomarkers predicting antidepressant treatment response: how can we advance the field?
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P2093
Christiana Labermaier
Marianne B Müller
P2860
P3181
P356
10.1155/2013/984845
P407
P50
P577
2013-07-21T00:00:00Z