1H-MRS detection of metabolites in posterior cingulate gyrus of Parkinson disease with cognitive impairment patients
10.13929/j.1003-3289.201706094
- VernacularTitle:1H-MRS检测帕金森病伴轻度认知障碍患者后扣带回代谢物
- Author:
Mingming HUANG
1
;
Wei PU
;
Xuhong LI
;
Ling JIAO
;
Hui YU
Author Information
1. 贵州医科大学附属医院影像科
- Keywords:
Magnetic resonance spectroscopy;
Parkinson disease;
Posterior cingulate gyrus;
Linear combination model
- From:
Chinese Journal of Medical Imaging Technology
2018;34(3):326-330
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of 1H-MRS technology combined with linear combination model (LCmodel) software in diagnosis of Parkinson disease (PD) cognitive impairment.Methods Thirty-five PD patients (PD group) and 22 matched healthy subjects (control group) were collected.Patients in PD group were divided into PDN and PDMCI subgroups according to whether having cognitive impairment or not.The concentration of metabolites of posterior cingulate gyrus (PCG)was applied with 1H-MRS technology combined with LCmodel software.The differences of metabolites were compared between the two groups,and the correlations between metabolites level and cognitive status were analyzed.Results The absolute concentrations of metabolites in PDN subgroup were not significantly different from those in control group (all P＞0.05).The absolute concentrations of total creatine (tCr),N-acetyl aspartate (NAA),myo-inositol (mI) and glycerophosphocholine+ phosphocholine (tCho) in PDMCI subgroup were lower than those in control group (all P＜0.05).The absolute concentration of tCr in PDMCI subgroup was lower than that in PDN subgroup (P＜0.05).There was positive correlation among the absolute concentration of tCr (r=0.444,P=0.01),glutathione (GSH;r=0.393,P=0.024) and MMSE scores,as well as among the absolute concentration of tCr (r=0.367,P=0.035),GSH (r=0.376,P=0.031),tCho (r=0.375,P=0.031) and MoCA scores.Conclusion 1 H-MRS technology combined with LCmodel software can quantitatively analyze the changes of metabolites in PCG,therefore being helpful to evaluating PD cognitive impairment.
