Morphological changes of cortical and subcortical nuclei for differentiating Parkinson disease with or without depression
Objective To observe the value of morphological changes of cortical and subcortical nuclei for differentiating Parkinson disease with depression(PDD)or with non-depressed(PDND).Methods Forty PDD patients(PDD group)and 26 PDND patients(PDND group)were retrospectively enrolled,and 33 healthy controls(HC group)were prospectively recruited.The cortical thickness and subcortical nuclei volume were compared among 3 groups and between each 2 groups,respectively,and the value of the above parameters for differentiating PDD and PDND were analyzed.Results Compared with HC group,the cortical thickness of bilateral superior frontal gyrus,left middle temporal gyrus,right superior temporal gyrus and right insular decreased in PDD group(all P＜0.05),so did that of left superior frontal gyrus,right rostral anterior cingulate and right superior temporal gyrus in PDND group(all P＜0.05).Compared with PDND group,the thickness of left lateral orbitofrontal cortex decreased in PDD group(P＜0.05).Compared with HC group,the volume of bilateral hippocampus,bilateral amygdala,left thalamus and right nucleus accumbens decreased in PDD group(all P＜0.05),while of bilateral caudate and putamen increased in PDD group and PDND group(all P＜0.05).Compared with PDND group,the volume of bilateral thalamus,left amygdala and right nucleus accumbens decreased in PDD group(all P＜0.05).Taken PDND group as the controls,the course of disease,thickness of left lateral orbitofrontal cortex,volume of left thalamus and right nucleus accumbens were all independent predictors of PDD,with the area under the curve(AUC)for differentiating PDD and PDND of 0.662,0.682,0.742 and 0.706,respectively.The AUC of the combination of the above parameters was 0.881,significantly higher than each index alone(all P＜0.05).Conclusion The thickness of left lateral orbitofrontal cortex,volume of left thalamus and right nucleus accumbens combined with the course of disease were helpful for differentiating PDD and PDND.
NETL
NSTL
万方数据
