Objective To investigate cerebral blood flow(CBF)in amygdalar subregions in subthreshold depression(StD)and major depressive disorder(MDD),and to analyze the risk factors for StD and MDD.Methods A total of 49 StD patients(StD group),58 untreated first-episode MDD patients(MDD group)and 55 healthy control subjects(HC group)were recruited.The CBF of the whole amygdala and its 3 subregions(laterobasal(LB),centromedial(CM)and superficial(SF)areas)and the levels of peripheral serum inflammatory factors(IL-1 β,IL-4,IL-6,and TNF-α)were compared among the three groups.Multivariate Logistic regression analysis was used to evaluate the risk factors for StD and MDD.Results There were significant differences in IL-1 β and TNF-α levels and CBF in RAmy,RLB,RCM and LCM subregions among the three groups(P＜0.05).Logistic regression analysis showed that the changes of CBF in the RLB,RCM and LCM subregions were risk indicators for HC progression to StD(P＜0.05).TNF-α level,CBF changes in RAmy and RCM subregions were risk indicators for HC progression to MDD(P＜0.05).CBF changes in RAmy,RLB,and LCM subregions were risk indicators for StD progression to MDD(P＜0.05).Conclusion The present study shows that there are differences in the risk factors for MDD between the non-depression state and the subthreshold depression state.The occurrence of MDD may be a dynamic process involving multiple amygdala subregions,which will improve the detection rate of depression and monitor its occurrence and development.
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万方数据