DEVELOPMENTAL NEUROMORPHOMETRY IN YOUNG DEPRESSED TWINS

年轻抑郁双胞胎的发育神经形态学

• 批准号: 7420423
• 负责人: Kelly N Botteron
• 金额: $ 2.09万
• 依托单位: HUGO W. MOSER RES INST KENNEDY KRIEGER
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7420423
• 关键词: depression; genetics; hand; major depression; motivation; twin /multiplet

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This group is interested in characterizing neuromorphometric differences in specific prefrontal limbic circuit structures in individuals with early onset major depression. Specifically we are studying an epidemiologically ascertained sample of adolescent female twins with early onset affective disorders and a comparison control twin group. The investigation of a twin population allows us to make direct estimates of genetic and environmental contributions to specific regional structural changes. The specific aims of this project all involve characterization and quantification of specific cortical and subcortical regions. Aim 1 is to quantify differences in prefrontal limbic morphometry in subjects with depression in comparison to at risk and control subjects. We are interested in characterizing both specific medial and orbital frontal regions along with subcortical structures such as the hippocampus and basal ganglia. Aim 2 proposes to characterize neurodevelopme ntal or ne urodegenerative patterns of change in regional neuromorphometry using prospective longitudinal data. Aim 3 estimates genetic and environmental contributions to the quantified structural changes and Aim 4 specifically proposed to integrate newer image analysis methods to characterize brain structural changes associated with early onset depression. Thus all specific aims are closely correlated with the goals of TRD4. For example, volume, surface and curve matching algorithms (TRD4-Aims 1&2) will enable us to compare prefrontal gyrus and amygdala cortical surfaces from a very large population data set and yield metrics which can be used in our epidemiological and longitudinal analysis of major depression disorders. Progress: 10 Medial PreFrontal gyri have been segmented and annotated, both by hand and automatically. Validations have been carried out demonstrating the validity of both the hand segmentations and the surface generation. Error rates between hand segmentations and auto-segme ntations are on the order of 5-10%. As well, surface generation indicates accuracies on the order of 0.25-.5 mm when compared to hand contouring.

本子项目是利用由NIH/NCRR资助的中心赠款提供的资源的众多研究子项目之一。子项目和研究者（PI）可能已经从另一个NIH来源获得了主要资金，因此可以在其他CRISP条目中表示。列出的机构是中心的，不一定是研究者的机构。本小组对表征早发性重度抑郁症患者特定前额叶边缘回路结构的神经形态学差异感兴趣。具体来说，我们正在研究一个流行病学上确定的样本，即患有早发性情感障碍的青春期女性双胞胎和一个对照双胞胎组。对双胞胎群体的调查使我们能够直接估计遗传和环境对特定区域结构变化的贡献。该项目的具体目标都涉及特定皮层和皮层下区域的表征和量化。目的1是量化抑郁症受试者与风险受试者和对照组相比前额叶边缘形态的差异。我们感兴趣的是描述特定的内侧和眶额区以及皮层下结构，如海马体和基底神经节。目的2提出表征神经发育或神经退行性变化模式的区域神经形态计量学使用前瞻性纵向数据。Aim 3估计了遗传和环境对量化结构变化的影响，Aim 4特别提出了整合更新的图像分析方法来表征与早发性抑郁症相关的大脑结构变化。因此，所有具体目标都与TRD4的目标密切相关。例如，体积、表面和曲线匹配算法（TRD4-Aims 1&2）将使我们能够从非常大的人口数据集和产量指标中比较前额叶回和杏仁核皮层表面，这些指标可用于我们对严重抑郁症的流行病学和纵向分析。进展：10个内侧前额叶回已被手工和自动分割和注释。已经进行了验证，证明了手分割和表面生成的有效性。手动分词和自动分词的错误率在5-10%之间。同样，与手工轮廓相比，表面生成表明精度为0.25- 0.5 mm。