中国神经再生研究(英文版)

中国神经再生研究(英文版) ›› 2012, Vol. 7 ›› Issue (27): 2151-2159.doi: 10.3969/j.issn.1673-5374.2012.27.010

• 原著:脑损伤修复保护与再生 • 上一篇    

统计概率脑图谱定量分析终末期肾病抑郁患者脑血流量

  

  1. 1 Department of Nuclear Medicine, Pusan National University Hospital, Busan, Republic of Korea
    2 Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
    3 Department of Internal Medicine, Pusan National University Hospital, Busan, Republic of Korea
  • 收稿日期:2012-04-11 修回日期:2012-06-10 出版日期:2012-09-25 发布日期:2012-09-25

Quantification of Tc-99m-ethyl cysteinate dimer brain single photon emission computed tomography images using statistical probabilistic brain atlas in depressive end-stage renal disease patients Correlation with disease severity and symptom factors

Heeyoung Kim1, In Joo Kim 1, 2, Seong-Jang Kim 1, 2, Sang Heon Song 1, 3, Kyoungjune Pak1, Keunyoung Kim1   

  • Received:2012-04-11 Revised:2012-06-10 Online:2012-09-25 Published:2012-09-25
  • Contact: Seong-Jang Kim, M.D., Ph.D., Department of Nuc-lear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan 602-739, Republic of Koreab growthkim@pusan.ac.kr ; growthkim@daum.net
  • About author:Heeyoung Kim☆, M.D., Department of Nuclear Medicine, Pusan National University Hospital, Busan, Republic of Korea

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Abstract:

This study adapted a statistical probabilistic anatomical map of the brain for single photon emission computed tomography images of depressive end-stage renal disease patients. This research aimed to investigate the relationship between symptom clusters, disease severity, and cerebral blood flow. Twenty-seven patients (16 males, 11 females) with stages 4 and 5 end-stage renal disease were enrolled, along with 25 healthy controls. All patients underwent depressive mood assessment and brain single photon emission computed tomography. The statistical probabilistic anatomical map images were used to calculate the brain single photon emission computed tomography counts. Asymmetric index was acquired and Pearson correlation analysis was performed to analyze the correlation between symptom factors, severity, and regional cerebral blood flow. The depression factors of the Hamilton Depression Rating Scale showed a negative correlation with cerebral blood flow in the left amygdale. The insomnia factor showed negative correlations with cerebral blood flow in the left amygdala, right superior frontal gyrus, right middle frontal gyrus, and left middle frontal gyrus. The anxiety factor showed a positive correlation with cerebral glucose metabolism in the cerebellar vermis and a negative correlation with cerebral glucose metabolism in the left globus pallidus, right inferior frontal gyrus, both temporal poles, and left parahippocampus. The overall depression severity (total scores of Hamilton Depression Rating Scale) was negatively correlated with the statistical probabilistic anatomical map results in the left amygdala and right inferior frontal gyrus. In conclusion, our results demonstrated that the disease severity and extent of cerebral blood flow quantified by a probabilistic brain atlas was related to various brain areas in terms of the overall severity and symptom factors in end-stage renal disease patients.

Key words: single photon emission computed tomography, end-stage renal disease, depression, statistical probabilistic brain atlas, disease severity, cerebral blood flow, symptom, brain, neural regeneration