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:

基本信息

  • 批准号:
    8171057
  • 负责人:
  • 金额:
    $ 0.91万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-08-01 至 2011-07-31
  • 项目状态:
    已结题

项目摘要

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. A CPM and Radial Atrophy Mapping 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.
该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金, 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说,它不一定是研究者的机构。 CPM 和径向萎缩映射 背景:关于家族性情绪障碍的大脑特征的信息很少。此类患者的内侧颞叶异常已被描述,但数据并未一致重复,也未提供对结果的明确发病机制解释。皮质模式匹配 (CPM) 或径向萎缩图等精细技术能够详细检测皮质回和海马体的形态,并可能提供来自携带此类疾病的家庭的个体的详细特征。 方法:使用布雷西亚的 1.0 Tesla Philips Gyroscan (PG) 收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。使用梯度回波 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 256x256,切片厚度 1.3 mm。 MRI 图像将通过两种分析进行处理:皮质模式匹配技术和海马径向萎缩映射。 CPM:该算法将用于识别病例与对照中皮质灰质密度不同的区域。 MR 图像将使用 12 参数线性变换标准化为定制模板,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勒出 29 个脑沟,并绘制额外的 3D 线来界定半球间回界。将创建一个定制模板,对分析对象的追踪脑沟进行平均,并且将使用各个脑沟作为地标,将每个对象的解剖结构扭曲到模板。原始 MR 图像将被分割为灰质、白质和 CSF,并且通过皮质模式匹配获得的扭曲场将应用于 GM 图像,从而允许在数千个同源皮质位置测量 GM。将计算平均灰质比例,并使用 t 检验创建统计显着性图,以比较受影响的患者与非相关对照、未受影响的亲属与对照以及受影响的患者与非受影响的亲属。 海马径向映射:MRI 图像将使用统计参数映射 (SPM99) 软件通过线性(12 个参数)转换为定制模板进行标准化。将根据已建立的评估者间和评估者内部可靠性的正式协议手动追踪海马体,并将创建 3D 参数化表面网格模型来代表每个受试者的海马体。为了评估海马形态,将自动将内侧曲线定义为每个图像切片中海马边界质心描绘的 3D 曲线。将通过自动测量从表面点到为个体海马表面模型定义的内侧曲线的径向 3D 距离来评估每个边界点处的每个海马的径向尺寸。较短的径向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。 预期结果:额叶和其他结构(例如负责正确感知和控制情绪状态的岛区)的大脑形态发生改变,可能包括体积减少。 预计海马结构的形态也会发生改变,主要发生在抑郁症发作严重程度或频率较高的受试者中。预计皮质类固醇受体浓度较高时,海马亚区域的组织会减少更多。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

MARINA BOCCARDI其他文献

MARINA BOCCARDI的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('MARINA BOCCARDI', 18)}}的其他基金

HIPPO MORPHOMETRY IN FRONTOTEMPORAL DEMENTIA: A RADIAL ATROPHY MAPPING STUDY
额颞叶痴呆中的河马形态测量:桡骨萎缩图谱研究
  • 批准号:
    8363439
  • 财政年份:
    2011
  • 资助金额:
    $ 0.91万
  • 项目类别:
CORTICAL DIFFERENCES IN PATIENTS WITH ANTISOCIAL PERSONALITY DISORDER
反社会人格障碍患者的皮质差异
  • 批准号:
    8363460
  • 财政年份:
    2011
  • 资助金额:
    $ 0.91万
  • 项目类别:
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:
    8363440
  • 财政年份:
    2011
  • 资助金额:
    $ 0.91万
  • 项目类别:
CORTICAL DIFFERENCES IN PATIENTS WITH ANTISOCIAL PERSONALITY DISORDER
反社会人格障碍患者的皮质差异
  • 批准号:
    8171104
  • 财政年份:
    2010
  • 资助金额:
    $ 0.91万
  • 项目类别:
HIPPO MORPHOMETRY IN FRONTOTEMPORAL DEMENTIA: A RADIAL ATROPHY MAPPING STUDY
额颞叶痴呆中的河马形态测量:桡骨萎缩图谱研究
  • 批准号:
    8171056
  • 财政年份:
    2010
  • 资助金额:
    $ 0.91万
  • 项目类别:
HIPPO MORPHOMETRY IN FRONTOTEMPORAL DEMENTIA: A RADIAL ATROPHY MAPPING STUDY
额颞叶痴呆中的河马形态测量:桡骨萎缩图谱研究
  • 批准号:
    7955665
  • 财政年份:
    2009
  • 资助金额:
    $ 0.91万
  • 项目类别:
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:
    7955666
  • 财政年份:
    2009
  • 资助金额:
    $ 0.91万
  • 项目类别:
CORTICAL DIFFERENCES IN PATIENTS WITH ANTISOCIAL PERSONALITY DISORDER
反社会人格障碍患者的皮质差异
  • 批准号:
    7955717
  • 财政年份:
    2009
  • 资助金额:
    $ 0.91万
  • 项目类别:
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
  • 财政年份:
    2008
  • 资助金额:
    $ 0.91万
  • 项目类别:
HIPPO MORPHOMETRY IN FRONTOTEMPORAL DEMENTIA: A RADIAL ATROPHY MAPPING STUDY
额颞叶痴呆中的河马形态测量:桡骨萎缩图谱研究
  • 批准号:
    7724346
  • 财政年份:
    2008
  • 资助金额:
    $ 0.91万
  • 项目类别:

相似海外基金

CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
  • 批准号:
    2337776
  • 财政年份:
    2024
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
  • 批准号:
    2338816
  • 财政年份:
    2024
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
  • 批准号:
    2338846
  • 财政年份:
    2024
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
  • 批准号:
    2348261
  • 财政年份:
    2024
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
  • 批准号:
    2348346
  • 财政年份:
    2024
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
  • 批准号:
    2348457
  • 财政年份:
    2024
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
  • 批准号:
    2404989
  • 财政年份:
    2024
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
  • 批准号:
    2339669
  • 财政年份:
    2024
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
  • 批准号:
    EP/Y029089/1
  • 财政年份:
    2024
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了