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Computational Morphometry in Schizophrenia and Related Disorders

精神分裂症及相关疾病的计算形态测量

基本信息

批准号：
8432454
负责人：
Sylvain Bouix
金额：
$ 41.41万
依托单位：
BRIGHAM AND WOMEN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-07-01 至 2015-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8432454
关键词：
Affect Affective Age Algorithms Alzheimer&apos s Disease Amygdaloid structure Anterior Applications Grants Bipolar Disorder Brain Brain Diseases Brain region Clinical Communities Comparative Study Complex Computer Assisted Corpus striatum structure Data Data Set Detection Development Disease Evaluation Female Fetal Alcohol Exposure Funding General Population Goals Hippocampus (Brain)Image Image Analysis Imaging problem Location Longitudinal Studies Manic Measures Medial Medical Imaging Mental disorders Methods Modeling Modification Morphogenesis Neocortex Neurosciences Neurosciences Research Nucleus Accumbens Patients Pattern Performance Population Public Health Published Comment Role Scanning Schizophrenia Schizotypal Personality Disorder Science Shapes Source Code Structure Superior temporal gyrus Surface Techniques Temporal Lobe Testing Text Thick Time Tissues affective psychoses base brain shape caudate nucleus cingulate gyrus computational morphometry computerized tools design interest male morphometry neurodevelopment neuroimaging new technology novel patient population pressure putamen research study response shape analysis tool

项目摘要

DESCRIPTION (provided by applicant): This R01 application is for five years of funding to develop, evaluate and apply novel computational tools for the purpose of understanding morphometric changes in neuroanatomical structures related to schizophrenia. Shape measures are of interest in schizophrenia because this disorder is viewed by some as a neurodevelopmental in origin and because there is evidence to suggest that during morphogenesis of the brain, abnormal pressures and/or tissue formations likely change the shape of brain structures, particularly those in the midline of the brain, as well as influencing folding patterns of the neocortex. We believe that computational morphometry tools are critical to characterize and to quantify shape changes accurately. In fact, neuroscience research as a whole has shown a growing interest in computer assisted shape studies for numerous conditions including, but not limited to, normal neurodevelopment, Alzheimer's disease, schizophrenia and schizotypal personality disorder (SPD), bipolar disorder, psychotic affective disorder, and fetal alcohol exposure. Our primary objective is thus to develop further new image analysis techniques to enable the detection and localization of shape differences between populations. We will apply this new technology to selected brain structures in first episode schizophrenic subjects compared to first episode affective subjects (mainly manic), and normal controls. Our secondary objective is to quantitatively evaluate and compare current state-of-the-art shape analysis tools, including ours, as few algorithms have been validated. Accordingly, a synthetic data set with known shape modifications will be created to use in a control experiment. In addition, we will evaluate all shape techniques on real data with previously observed shape changes (i.e., caudate nucleus in SPDs and amygdala-hippocampus in patients with schizophrenia). Finally, in an effort to promote open science, we will make all results, data, parameters and algorithms publicly available to the scientific community. By characterizing and delineating shape abnormalities in schizophrenia, we will understand further the role of brain morphometry abnormalities in schizophrenia, a disorder that is a major public health problem, affecting close to 1% of the general population.

描述（由申请人提供）：该R 01申请是五年的资金，用于开发，评估和应用新的计算工具，以了解与精神分裂症相关的神经解剖结构的形态学变化。形状测量在精神分裂症中是感兴趣的，因为这种疾病被一些人认为是神经发育的起源，并且因为有证据表明，在大脑的形态发生期间，异常的压力和/或组织形成可能改变大脑结构的形状，特别是大脑中线的形状，以及影响新皮层的折叠模式。我们认为，计算形态测量工具是至关重要的特征和量化形状的变化准确。事实上，神经科学研究作为一个整体已经显示出越来越多的兴趣，在计算机辅助形状研究的许多条件，包括但不限于，正常的神经发育，阿尔茨海默氏病，精神分裂症和典型人格障碍（SPD），双相情感障碍，精神病情感障碍，和胎儿酒精暴露。因此，我们的主要目标是进一步开发新的图像分析技术，使人口之间的形状差异的检测和定位。我们将把这项新技术应用于选定的大脑结构，在第一次发作的精神分裂症的主题相比，第一次发作的情感主题（主要是躁狂症），和正常对照。我们的第二个目标是定量评估和比较当前最先进的形状分析工具，包括我们的，因为很少有算法已经过验证。因此，将创建具有已知形状修改的合成数据集以用于对照实验。此外，我们将在具有先前观察到的形状变化的真实的数据上评估所有形状技术（即，SPD中的尾状核和精神分裂症患者的杏仁核-海马）。最后，为了促进开放科学，我们将向科学界公开所有结果、数据、参数和算法。通过描述和描绘精神分裂症的形状异常，我们将进一步了解脑形态测量学异常在精神分裂症中的作用，精神分裂症是一种主要的公共卫生问题，影响近1%的总人口。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Abnormalities in white matter connections between orbitofrontal cortex and anterior cingulate cortex and their associations with negative symptoms in schizophrenia: a DTI study.

DOI：
10.1016/j.schres.2014.05.016
发表时间：
2014-08
期刊：
Schizophrenia research
影响因子：
4.5
作者：
Ohtani T;Bouix S;Hosokawa T;Saito Y;Eckbo R;Ballinger T;Rausch A;Melonakos E;Kubicki M
通讯作者：
Kubicki M

Statistical shape analysis using 3D Poisson equation--A quantitatively validated approach.