DEFINING FUNCTIONAL AREAS IN THE HUMAN BRAIN USING RESTING FUNCTIONAL CONNECTIVIT

使用静息功能连接定义人脑的功能区域

• 批准号: 7530816
• 负责人: STEVEN E. PETERSEN
• 金额: $ 19.95万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-15 至 2010-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7530816
• 关键词: Algorithms; Anatomy; Area; Brain; Cells; Cerebral cortex; Child; Collection; Data; Detection; Development; Eye Movements; Functional Magnetic Resonance Imaging; Grant; Human; Image; Imaging Techniques; Individual; Infant; Localized; Location; Magnetic Resonance Imaging; Maps; Measures; Mental Depression; Methods; Metric; Movement Disorders; Neurons; Patients; Public Health; Research Personnel; Rest; Schizophrenia; Sensory; Series; Stroke; System; Testing; Validation; Validity and Reliability; Visual Cortex; base; image processing; imaging Segmentation; method development; named group; nervous system disorder; neuroimaging; neuropsychiatry; nonhuman primate

DESCRIPTION (provided by applicant): The cerebral cortex is anatomically organized at many physical scales. This organization extends from the level of a neuron and its connections, collections of neurons into columns, collections of columns into functional areas or maps, and collections of areas into systems or networks. Current functional magnetic resonance imaging (fMRI) techniques in humans focuses above the level of cells and columns, most often at the scale of functional areas and systems. Except in rare circumstances, e.g. topographically-organized sensory regions, it is difficult to determine areal boundaries in the human brain using fMRI. The ability to non- invasively delineate functional areas in greater extents of cortex would allow both within-subject definition of separate areas of cortex, and allow for more appropriate comparison of areas across subjects, enhancing the precision of many types of both functional and structural studies, including those investigating special populations such as infants/children and patients. Preliminary measures of resting correlated activity, so-called resting state functional connectivity (fcMRI), show strong localized differences in correlation strength across expanses of cortex. This observation provides hope that, in similar fashion to connectional anatomy in non-human primates, fcMRI measures could aid in the definition of functional area boundaries in the human brain. Aim 1: To develop methods to define functional area boundaries using resting state fcMRI. We will utilize the relatively new metric of resting state fcMRI to define boundaries between putative functional areas based on abrupt changes in the correlation profiles of adjacent points in fcMRI data. Various image processing strategies (e.g., edge detection and image segmentation algorithms) will be used to produce maps of fcMRI-derived boundaries that circumscribe putative functional areas in the cortex. Aim 2: To validate methods using multiple converging tests. After putative fcMRI boundary maps are constructed, their reliability and validity will be tested using several converging approaches: 1) repeated within-subject examinations to test the reliability of fcMRI-derived boundaries; 2) comparison of functionally-defined (fMRI) boundaries in topographically organized visual cortical regions with fcMRI-defined borders; 3) Comparison of reliable functional activations (e.g. eye- movement and error-related activity) with fcMRI-defined regions to determine whether functional activations respect fcMRI-derived boundaries; 4) examination of multiple subjects to test the generalizability of these maps. PUBLIC HEALTH RELEVANCE This grant proposes a series of methods development and validations for using a specific imaging measure, resting-state functional connectivity magnetic resonance imaging, to parcellate the cortex of the brain into individual functional regions in individual subjects. Successful developments would allow researchers to move beyond current macrostructural, stereotactic and combined methods to provide more accurate locations of functional areas. This would advance neuroimaging studies generally, but particularly in situations where individual or group variability would be high, such as development studies, and studies of neuropsychiatric and neurological disease including schizophrenia, depression, movement disorders, and stroke.

描述（由申请人提供）：大脑皮层在许多物理尺度上是解剖学组织的。该组织从神经元的层面及其连接层，神经元的收集到列，列成功能区域或地图，以及将区域集合到系统或网络中。人类中的当前功能磁共振成像（fMRI）技术集中在细胞和色谱柱上，最常见于功能区域和系统的规模。除非在极少数情况下，例如地形组织的感觉区域，很难使用fMRI确定人脑中的面积边界。在较大的皮质中，非侵入性描绘功能区域的能力既可以允许皮质的单独区域的受试者定义，并允许对跨受试者的区域进行更适当的比较，从而提高了许多功能和结构研究的精确度，包括研究特殊人群（例如婴儿/儿童和患者和患者）。静息相关活性的初步度量，所谓的静息状态功能连通性（FCMRI）显示出跨皮质扩展的相关强度的局部局部差异。该观察结果提供了希望，以与非人类灵长类动物的连接解剖结构相似，FCMRI措施可以帮助定义人脑功能区域边界。目标1：开发使用静止状态FCMRI定义功能区域边界的方法。我们将利用静止状态FCMRI的相对较新的指标来定义基于FCMRI数据中相邻点的相关曲线的突然变化，在推定功能区域之间定义边界。各种图像处理策略（例如，边缘检测和图像分割算法）将用于生成FCMRI衍生的边界的地图，这些边界限制了皮层中假定的功能区域。目标2：使用多个收敛测试验证方法。构建了假定的FCMRI边界图后，将使用几种收敛方法对其可靠性和有效性进行测试：1）重复受试者内部检查以测试FCMRI衍生边界的可靠性； 2）比较具有FCMRI定义边界的地形有组织的视觉皮质区域中功能定义的（fMRI）边界； 3）比较可靠的功能激活（例如，眼动和与误差相关的活性）与FCMRI定义区域的比较，以确定功能激活是否尊重FCMRI衍生的边界； 4）检查多个受试者以测试这些地图的普遍性。公共卫生相关性本赠款提出了一系列方法开发和验证，以使用特定的成像度量，静止状态功能连通性磁共振成像，以将大脑的皮层构成单个受试者的单个功能区域。成功的发展将使研究人员能够超越当前的宏观结构，立体定向和组合方法，以提供更准确的功能区域位置。这通常会推进神经影像学研究，尤其是在个人或组变异性很高的情况下，例如发展研究以及神经精神病学和神经系统疾病的研究，包括精神分裂症，抑郁症，运动障碍和中风。