NEUROMORPHOMETRY IN SCHIZOPHRENIA BY COMPUTER ALGORITHM, ALZ BY BRAIN MAPPING

通过计算机算法进行精神分裂症的神经形态测量，通过脑图绘制 ALZ

• 批准号: 7420422
• 负责人: JOHN G CSERNANSKY
• 金额: $ 3.74万
• 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/7420422
• 关键词: brain; cingulate gyrus; computers; hand; hippocampus; schizophrenia

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. The Resource Grant facilitates two grants directed by John G. Csernansky, M.D. These grants both depend upon methods of cortical analysis to be developed in TRD4 to complement high dimensional mappings of deep gray matter brain structures and cortical surfaces of the human brain. These grants involve the elucidation of brain structure abnormalities in the hippocampus of patients with neuropsychiatric disorders, specifically schizophrenia and dementia of the Alzheimer type. In both cases, hippocampal structure abnormalities likely to be present in such persons are subtle and difficult to detect using conventional methods for manual estimations of brain structure volumes. Current computational anatomy methods for estimating brain structure volumes (Haller, et al, 1997) and for group comparisons using metrics of hippocampus structure shape have been developed. These metrics appear to be superior to gross volumetry in discriminating patients with neuropsychiatric disea se from he althy controls (Csernansky et al, 1998, 2000). As outlined below in the relationship, the methods developed in TRD4 will be important in analyzing neuromorphometric changes in brain structures such as the cingulate gyrus. For example, sulcal matching and generation algorithms developed in Aim 3 of TRD4 will be used to analyze subtle changes in sulcal features of cortical surfaces of cingulate gyrus that are generated by the algorithm developed in Aim 1 of TRD4. Progress: 10 Cingulate gyri have been segmented and annotated, both by hand and automatically. Validations have been carried out demonstrated the validatity of Bayes segmentation. Surface reconstructions are being examined for their accuracy relative to hand contouring.

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子弹和调查员（PI）可能已经从其他NIH来源获得了主要资金，因此可以在其他清晰的条目中代表。列出的机构适用于该中心，这不一定是调查员的机构。资源授予促进了约翰·G·CSernansky（M.D.这些赠款涉及阐明神经精神疾病患者海马的大脑结构异常，特别是阿尔茨海默氏症类型的精神分裂症和痴呆症。在这两种情况下，此类人可能存在的海马结构异常是微妙的且难以检测的，使用常规方法来手动估算脑结构体积。目前开发了用于估计大脑结构体积的计算解剖方法（Haller等，1997）和使用海马结构形状的指标进行群体比较。这些指标似乎优于总体体积，可以区分神经精神疾病的患者与Althy Controls（Csernansky等，1998，2000）。如下所述，TRD4中开发的方法对于分析大脑结构（例如扣带回回）的神经形态变化将很重要。例如，在TRD4的AIM 3中开发的沟匹配和生成算法将用于分析由TRD4 AIM 1中开发的算法产生的扣带回回的皮质表面的硫sulcal特征的细微变化。进度：通过手动和自动对10个扣带回的回旋进行了分割和注释。已经进行了验证证明了贝叶斯分割的有效性。正在检查表面重建的相对于手写轮廓的准确性。