A novel method for evaluating brain function and microstructural changes in Parkinson's disease

来源 :Neural Regeneration Research | 被引量 : 0次 | 上传用户:junwen2009
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In this study,microstructural brain damage in Parkinson’s disease patients was examined using diffusion tensor imaging and tract-based spatial statistics.The analyses revealed the presence of neuronal damage in the substantia nigra and putamen in the Parkinson’s disease patients.Moreover,disease symptoms worsened with increasing damage to the substantia nigra,confirming that the substantia nigra and basal ganglia are the main structures affected in Parkinson’s disease.We also found that microstructural damage to the putamen,caudate nucleus and frontal lobe positively correlated with depression.Based on the tract-based spatial statistics,various white matter tracts appeared to have microstructural damage,and this correlated with cognitive disorder and depression.Taken together,our results suggest that diffusion tensor imaging and tract-based spatial statistics can be used to effectively study brain function and microstructural changes in patients with Parkinson’s disease.Our novel findings should contribute to our understanding of the histopathological basis of cognitive dysfunction and depression in Parkinson’s disease. In this study, microstructural brain damage in Parkinson’s disease patients was examined using diffusion tensor imaging and tract-based spatial statistics. The analysis of the presence of neuronal damage in the substantia nigra and putamen in the Parkinson’s disease patients. More over, disease symptoms worsened with increasing damage to the substantia nigra, confirming that the substantia nigra and basal ganglia are the main structures affected in Parkinson’s disease. We also found that microstructural damage to the putamen, caudate nucleus and frontal lobe well correlated with depression. Based on the tract-based spatial statistics, various white matter tracts had to microstructural damage, and this correlated with cognitive disorder and depression. Both together, our results suggest that diffusion tensor imaging and tract-based spatial statistics can be used to effectively study brain function and microstructural changes in patients with Parkinson’s disease.Our nov el findings should contribute to our understanding of the histopathological basis of cognitive dysfunction and depression in Parkinson’s disease.
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