DEVELOPMENTAL NEUROMORPHOMETRY IN YOUNG DEPRESSED TWINS

这个子项目是利用由NIH/NCRR资助的中心拨款提供的资源的许多研究子项目之一。子项目和调查员(PI)可能从另一个NIH来源获得了主要资金，因此可能会出现在其他CRISE条目中。列出的机构是针对中心的，而不一定是针对调查员的机构。该研究小组对早发性重度抑郁症患者特定的前额叶边缘环路结构的神经形态计量学差异进行了研究。具体地说，我们正在研究一组经流行病学证实的患有早发性情感障碍的青春期女性双胞胎，以及一组对照双胞胎。对双胞胎种群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质和皮质下区域的特征和量化。目的1是量化抑郁症患者与高危人群和对照人群前额叶边缘形态测量的差异。我们感兴趣的是描述特定的内侧和眼眶额区以及皮质下结构，如海马体和基底节。目的2建议使用前瞻性的纵向数据来描述局部神经形态计量学中神经发育或神经退行性改变的模式。Aim 3估计基因和环境对量化结构变化的贡献，Aim 4特别建议整合较新的图像分析方法来表征与早发性抑郁症相关的脑结构变化。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和2)将使我们能够从非常大的人群数据集中比较前额回和杏仁皮质表面，并产生可用于我们对主要抑郁症的流行病学和纵向分析的指标。进展：已对10个额叶内侧回进行了手动和自动分割和注释。验证结果表明了手部分割和表面生成的有效性。手动分割和自动分割之间的错误率约为5%-10%。此外，与手工绘制轮廓相比，曲面生成的精度约为0.25-0.5 mm。

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.