INVESTIGATING NEURAL PRIMACY IN MAJOR DEPRESSIVE DISORDER

调查重度抑郁症的神经首要性

• 批准号: 8362971
• 负责人: Paul Lawrence Hamilton
• 金额: $ 1.3万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2012-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8362971
• 关键词: Annual Reports; Anterior; Biological Neural Networks; Brain region; Data; Depressed mood; Disease; Dorsal; Etiology; Eye; Functional Magnetic Resonance Imaging; Functional disorder; Funding; Grant; Hippocampus (Brain); Magnetic Resonance; Major Depressive Disorder; Medial; Mental Depression; National Center for Research Resources; Participant; Persons; Prefrontal Cortex; Principal Investigator; Reading; Research; Research Infrastructure; Resources; Rest; Seeds; Series; Source; Structure; Techniques; Technology; Testing; Time; United States National Institutes of Health; Visit; abstracting; base; blood oxygen level dependent; cingulate cortex; cost; relating to nervous system

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Investigating neural primacy in Major Depressive Disorder: Multivariate granger causality analysis of resting-state fMRI time-series data Major Depressive Disorder (MDD) has been conceptualized as a neural network-level disease. Few studies of the neural bases of depression, however, have used analytic techniques that are capable of testing network-level hypotheses of neural dysfunction in this disorder. Moreover, of those that have, fewer still have attempted to determine directionality of influence within functionally abnormal networks of structures. We used multivariate Granger causality analysis  a technique that estimates the extent to which preceding neural activity in one or more seed regions predicts subsequent activity in target brain regions  to analyze blood-oxygen-level dependent (BOLD) data collected during eyes-closed rest in depressed and never-depressed persons. We found that activation in the hippocampus predicted subsequent increases in ventral anterior cingulate cortex (vACC) activity in depression, and that activity in medial prefrontal cortex and vACC were mutually reinforcing in MDD. Hippocampal and vACC activation in depressed participants predicted subsequent decreases in dorsal cortical activity. To read about other projects ongoing at the Lucas Center, please visit http://rsl.stanford.edu/ (Lucas Annual Report and ISMRM 2011 Abstracts)

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 研究重度抑郁症的神经元首要性： 静息态fMRI时间序列数据的多变量格兰杰因果分析 重度抑郁症（MDD）被认为是一种神经网络水平的疾病。关于神经系统的研究很少 然而，抑郁症的基础已经使用了分析技术，这些技术能够测试网络水平的假设， 神经功能紊乱此外，在那些有，更少的人仍然试图确定方向性， 在功能异常的结构网络中的影响。采用多元格兰杰因果分析  一 一种估计一个或多个种子区域中先前神经活动预测后续神经活动的程度的技术。 目标脑区的活动  分析闭眼休息期间收集的血氧水平依赖（BOLD）数据， 抑郁和从不抑郁的人。我们发现海马体的激活预示着随后的 腹前扣带皮层（vACC）的活动，内侧前额叶皮层和vACC的活动， 在MDD中相互加强。抑郁参与者的海马和vACC激活预测了随后的 背侧皮层活动 要了解卢卡斯中心正在进行的其他项目，请访问http://rsl.stanford.edu/ （卢卡斯年度报告和 ISMRM 2011摘要）