Metabolic brain networks in neurodegenerative disorders: a functional imaging approach.
Metabolic brain networks in neurodegenerative disorders: a functional imaging approach.
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DOI：
10.1016/j.tins.2009.06.003
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发表时间：
2009-10
影响因子：
15.9
通讯作者：
Eidelberg, David
中科院分区：
文献类型：
--
作者：
Eidelberg, David
功能性脑成像数据的网络分析是研究神经退行性疾病中回路异常的创新方法。在帕金森病中，静息状态代谢图像的空间协方差分析确定了与运动和认知症状相关的特定区域模式。通过功能成像，这些代谢网络最近已被用于测量系统相关的进展并评估新的治疗策略。网络分析还被用来表征亨廷顿病和阿尔茨海默病的特定功能生物标志物。这些网络对于揭示遗传风险个体的补偿机制特别有帮助。网络应用的持续发展可能会增强功能成像在神经退行性疾病研究中的作用。
Network analysis of functional brain imaging data is an innovative approach to study circuit abnormalities in neurodegenerative diseases. In Parkinson's disease, spatial covariance analysis of resting state metabolic images has identified specific regional patterns associated with motor and cognitive symptoms. With functional imaging, these metabolic networks have recently been used to measure system-related progression and evaluate novel treatment strategies. Network analysis is also being used to characterize specific functional biomarkers for Huntington's disease and Alzheimer's disease. These networks have been particularly helpful in uncovering compensatory mechanisms in genetically at-risk individuals. Ongoing developments in network applications are likely to enhance the role of functional imaging in the investigation of neurodegenerative disorders.
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影响因子：
9.9
作者：
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通讯作者：
Eidelberg, D
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