Human Imaging

人体成像

• 批准号: 7167301
• 负责人: RANGA R KRISHNAN
• 金额: $ 34.08万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7167301
• 关键词: aging; amygdala; behavior test; brain morphology; clinical research; cognition; depression; diffusion magnetic resonance imaging; emotions; genotype; glutamates; human genetic material tag; human old age (65+); human subject; magnetic resonance imaging; nuclear magnetic resonance spectroscopy; patient oriented research; white matter

This project is central to the Conte center. All other projects are linked to this project in a conceptual and a practical sense. This project follows up on our findings that lesions disrupt the functioning of the mood circuit in elderly patients with depression. The project utilizes multimodal imaging Diffusion tensor imaging (DTI), magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS) along with cognitive testing and genetics to study the connectivity and dysregulation of the mood circuit. Based on findings from our earlier work we evaluate the nature of the changes in the fiber tracts connecting amygdala, Orbital prefrontal cortex, dorsolateral prefrontal cortex, striatum and its relationship to neurocognitive changes. We evaluate whether glutamate is reduced in the anterior cingulate and orbital prefrontal cortex in patients with depression using MRS. In addition we evaluate changes in brain structure and function as it relates to serotonin transporter promoter region allelic variants. This project uses state of the art image processing and will lead to a greater understanding of the neuroanatomical substrates of depression.

该项目是康特中心的核心。所有其他项目都以概念性的方式与该项目相关联。 和实际意义。这个项目跟进了我们的发现，即病变破坏了 老年抑郁症患者的情绪回路该项目利用多模态成像扩散 张量成像（DTI）、磁共振成像（MRI）、磁共振波谱（MRS） 沿着认知测试和遗传学来研究情绪的连通性和失调 电路.根据我们早期工作的发现，我们评估了纤维变化的性质， 连接杏仁核、眶前额叶皮质、背外侧前额叶皮质、纹状体及其 与神经认知变化的关系。我们评估谷氨酸是否是 减少前扣带回和眶前额叶皮质的抑郁症患者使用MRS。 此外，我们评估大脑结构和功能的变化，因为它涉及到血清素转运体 启动子区等位基因变体。该项目使用最先进的图像处理，并将导致一个 对抑郁症的神经解剖学基础有更深入的了解。