Study name | Wang RC 2022 |
Title | Quantitative magnetic resonance spectroscopy of depression: the value of short-term metabolite changes in predicting treatment response |
Overall design | The aim of this study was to explore the correlation between short-term metabolite changes and subsequent treatment response in major depressive disorder (MDD) by detecting the hippocampus dynamically with quantitative magnetic resonance spectroscopy (MRS) combined with a novel voxel-placement technique. In the test set, 74 patients with MDD (MDD group) and 20 healthy controls (control group) were included. Subjects underwent MRS once a week during 6 weeks of treatment. Metabolite quantification was reported in absolute concentrations. The association between hippocampal metabolite changes and clinical response was analyzed. After enrollment, all MDD patients were treated with citalopram for 3 weeks to observe the efficacy. Treatment responders continued to maintain the medication, and treatment non-responders were switched to the next stage for augmented treatment with bupropion. The subjects were then divided into refractory depression group (n = 26) and non-refractory depression group (n = 41) according to a HAMD score reduction rate of 50% after 6 weeks of individualized treatment. |
Type1; Type2; Type4; | |
Data available | Unavailable |
Organism | Human; |
Categories of depression | Depressive disorder; Depression; Depression; |
Criteria for depression | DSM-IV diagnosed MDD, HAMD-17 >= 17 |
Sample size | 94 |
Tissue | Central; Brain; Hippocampus; |
Platform | MRS; MRS: Siemens 3.0T Trio MR scanner; |
PMID | |
DOI | |
Citation | Wang R, Shen Y, Li G, et al. Quantitative magnetic resonance spectroscopy of depression: the value of short-term metabolite changes in predicting treatment response. Front Neurosci. 2022 Nov 29;16:1025882. |
Metabolite |