CORTICAL AND HIPPOCAMPAL MORPHOMETRY IN A FAMILY WITH MOOD DISORDERS

情绪障碍家庭的皮质和海马形态测量

• 批准号: 7724347
• 负责人: MARINA BOCCARDI
• 金额: $ 0.26万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7724347
• 关键词: Affect; Algorithms; Anatomy; Atrophic; Cerebrum; Characteristics; Computer Retrieval of Information on Scientific Projects Database; Computer software; Corticosteroid Receptors; Data; Disease; Emotional; Family; Frequencies; Funding; Grant; Hippocampal Formation; Hippocampus (Brain); Image; Individual; Institution; Lateral; Location; Magnetic Resonance Imaging; Maps; Measurement; Measures; Medial; Mental Depression; Methods; Modeling; Mood Disorders; Morphology; Parahippocampal Gyrus; Patients; Pattern; Perception; Process; Protocols documentation; Radial; Relative (related person); Research; Research Personnel; Resources; Severities; Slice; Source; Structure; Surface; Techniques; Testing; Thick; Tissues; United States National Institutes of Health; brain morphology; density; frontal lobe; gray matter; hippocampal morphometry; hippocampal subregions; indexing; size; white matter

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. Background: little information is available on the cerebral characteristics of familial mood disorders. Medial temporal abnormalities have been described in such patients, but data are not consistently replicated, nor a univocal pathogenetic explanation of findings has been provided. Fine techniques like the cortical pattern matching (CPM) or the radial atrophy mapping are able to detect in great detail the morphology of the cortical gyri and the hippocampus, and might provide a detailed characterization of individuals coming from families carrying this kind of disease. Methods: MRI images from related subjects affected and non affected by mood disorders, and from matched healthy controls have been collected with 1.0 Tesla Philips Gyroscan (PG) in Brescia. Images were acquired with gradient echo 3D technique as follows: TR = 20 ms, TE = 5.0 ms, flip angle = 30¿, field of view = 220 mm, acquisition matrix 256x256, slice thickness 1.3 mm. MRI images will be processed with two kinds of analysis: the cortical pattern matching technique and the hippocampal radial atrophy mapping. CPM: the algorithm will be used used to identify regions where the cortical gray matter density will be different in cases vs controls. MR images will be normalized to a customized template using a 12 parameter linear transformation and 3D cortical surfaces of both hemispheres will be extracted; 29 sulci will be manually outlined on the lateral and medial surface of each hemisphere, and additional 3D lines will be drawn to delimit interhemispheric gyral limits. A customized template will be created averaging the traced sulci of the analyzed subjects, and the individual sulci will be used as landmarks to warp each subject's anatomy to the template. Original MR images will be segmented into gray matter, white matter, and CSF, and the warping fields obtained with cortical pattern matching will be applied to the GM images, thus allowing measurement of GM at thousands of homologous cortical locations. The mean gray matter proportion will be computed and a statistical significance map will be created using a t-test to compare affected patients vs non related controls, non affected relatives vs controls and affected patients vs non affected relatives. Hippocampal radial mapping: MRI images will be normalized by linear (12 parameter) transformation to a customized template using the Statistical Parametric Mapping (SPM99) software. The hippocampi will be manually traced according to a formal protocol with established inter- and intra-rater reliability and 3D parametric surface mesh models will be created to represent the hippocampus in each subject. To assess hippocampal morphology, a medial curve will be automatically defined as the 3D curve traced out by the centroid of the hippocampal boundary in each image slice. The radial size of each hippocampus at each boundary point will be assessed by automatically measuring the radial 3D distance from the surface points to the medial curve defined for individual's hippocampal surface model. Shorter radial distances will be used as an index of atrophy. Statistical maps will be generated indicating local group differences in radial hippocampal distance. Expected results: altered brain morphology, likely consisting in reduced volumes, is expected in the frontal lobes and in other structures, like the insular region, devoted to proper perception and control of emotional states. Altered morphology of the hippocampal formation is also expected, mainly in subjects with greater severity or frequency of depression episodes. Greater tissue reduction in the hippocampal subregions with greater concentration of corticosteroids receptors is expected.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 背景：关于家族性心境障碍的大脑特征的信息很少。内侧颞叶异常已被描述在这样的患者，但数据并不一致，也没有一个明确的病因解释的结果已提供。精细的技术，如皮质模式匹配（CPM）或放射状萎缩映射能够检测到非常详细的皮质回和海马的形态，并可能提供一个详细的表征个人来自家庭携带这种疾病。 研究方法：在布雷西亚使用1.0特斯拉Philips Gyroscan（PG）采集了受情绪障碍影响和未受情绪障碍影响的相关受试者以及匹配的健康对照者的MRI图像。采用梯度回波3D技术采集图像，如下：TR = 20 ms，TE = 5.0 ms，翻转角= 30 <$，视野= 220 mm，采集矩阵256 x 256，层厚1.3 mm。MRI图像将采用两种分析方法进行处理：皮质模式匹配技术和海马放射状萎缩标测。 CPM：该算法将用于识别病例与对照组中皮质灰质密度不同的区域。将使用12参数线性变换将MR图像标准化为定制模板，并提取两个半球的3D皮质表面;将在每个半球的外侧和内侧表面上手动勾画29个脑沟，并绘制额外的3D线以界定半球间回界限。将创建一个定制模板，对所分析受试者的追踪脑沟进行平均，并将单个脑沟用作标志，以将每个受试者的解剖结构扭曲到模板上。原始MR图像将被分割为灰质、白色物质和CSF，并且通过皮质模式匹配获得的扭曲场将被应用于GM图像，从而允许在数千个同源皮质位置处测量GM。将计算平均灰质比例，并使用t检验创建统计学显著性图，以比较受累患者与非相关对照、非受累亲属与对照以及受累患者与非受累亲属。 海马放射状标测：使用统计参数映射（SPM 99）软件，通过线性（12个参数）转换将MRI图像标准化为定制模板。将根据具有已建立的评估者间和评估者内可靠性的正式方案手动追踪海马，并将创建3D参数表面网格模型以代表每例受试者的海马。为了评估海马形态，将中间曲线自动定义为每个图像切片中海马边界质心描绘的3D曲线。通过自动测量从表面点到为个体海马表面模型定义的中间曲线的径向3D距离，评估每个边界点处每个海马的径向尺寸。较短的桡骨距离将被用作萎缩的指标。将生成统计图，指示径向海马距离的局部组差异。 预期成果：额叶和其他结构（如岛状区）可能会改变大脑形态，可能包括体积缩小，这些结构致力于正确感知和控制情绪状态。 海马结构的形态学改变也是预期的，主要发生在抑郁发作严重程度或频率较高的受试者中。预期皮质类固醇受体浓度越高，海马亚区的组织减少越多。