Validating Resting State fMRI Derived Brain Connectivity

验证静息状态 fMRI 衍生的大脑连接

• 批准号: 7824871
• 负责人: Mary E. Meyerand
• 金额: $ 49.98万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-30 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7824871
• 关键词: Animals; Area; Attention deficit hyperactivity disorder; Autistic Disorder; Behavioral; Biological Markers; Brain; Brain region; Brain scan; Cardiac; Clinical; Communities; Complex; Data; Data Set; Environmental Risk Factor; Excision; Foundations; Foxes; Functional Imaging; Functional Magnetic Resonance Imaging; Future; Growth; Health; Human; Individual; Knowledge; Language; Lead; Literature; MRI Scans; Magnetic Resonance Imaging; Measurement; Measures; Mental disorders; Methodology; Methods; Nature; Neurosciences; Operative Surgical Procedures; Pathology; Pattern; Physiological; Procedures; Process; PubMed; Publications; Publishing; Reliability of Results; Reporting; Reproducibility; Research; Research Design; Research Personnel; Rest; Sampling; Schizophrenia; Signal Transduction; Specificity; Structure; Study Subject; Surface; Techniques; Testing; Time; Validation; Validity of Results; Variant; base; depression; design; digital; improved; insight; patient population; relating to nervous system; respiratory; statistics; tool; volunteer

DESCRIPTION (provided by applicant): This project titled 'Validating resting state fMRI derived brain connectivity' represents a large scale effort to establish rigorously the reliability of brain connectivity measures derived from resting state fMRI (fcMRI). This method of studying the spatial pattern of connectivity between regions of the brain has recently seen an intensive period of growth. Recent publications indicate the method may be able to give insight into the large scale structure of interactions between brain regions that support the integrated functioning of the brain in human health. There is also a growing body of literature that indicates deviations from the normally observed pattern of connectivity may be a fundamental causative factor in many mental health disorders including schizophrenia, depression, and autism. In applying this method there are a large number of processing steps that must be applied to the data before the statistical measures of connectivity are calculated. There is currently a lack of knowledge as to the effects of different methods of preprocessing on the reliability of the results obtained using fcMRI. One type of processing required involves the removal of variations in the signal resulting from cardiac and respiratory induced pulsations in the brain. Currently simple digital filtering methods are usually used. Theoretical considerations indicate this type of processing may not give optimal results. This study will investigate the improvements that may be achieved by using more complex methods that involve utilizing recordings of the cardiac and respiratory cycle measured from the subject at the time of MRI scanning. Another factor that influences the accuracy and reliability of the results concerns processing that must be performed in order that comparisons between subjects may be made. In order that comparisons may be made between corresponding brain regions of different subjects the brain scans must be brought into alignment. It is well known in the neuroscience community that the different mathematical tools used to accomplish this are imperfect and that different methods introduce different errors. This study will investigate the differences in reliability that result from the application of the different methods to accomplish this alignment. In order that the results of the study will be sufficiently general to serve as a guide for investigators we will acquire fcMRI data from a large number of healthy individuals and use a study design known as a bootstrap design. Multiple MRI data sets will be acquired from each of approximately 100 volunteers. The data from all subjects will be processed with each of the different processing methods considered in the study. The methodology follows a procedure of choosing subsets of the subjects and calculating fcMRI measures. Next measures of the intra subject and intersubject reliability are calculated from the proceeding results. This basic procedure is repeated a large number of times building a large set of measurements from which reliable statistics may be calculated. The results derived from this study will serve to enable researchers in the field of fcMRI to conduct more informed study design and aid in the interpretation of the validity of results. This study represents an essential next step in the validation of fcMRI as a biomarker for the characterization of normal and pathological brain function. The research is intended to validate the results of an emerging method known as resting state fmri in understanding human and animal brain connectivity. It would serve to guide practitioners of the technical requirements for achieving optimal results utilizing this method. This proposed research contributes to both basic neuroscience and clinical neuroscience and will provide the foundation for future studies characterizing brain connectivity in normals and disruptions of connectivity in various patient populations.

描述（由申请人提供）：该项目标题为“验证静止状态fMRI衍生的大脑连接性”，代表了一项大规模的努力，以严格确定由静止状态fMRI（FCMRI）得出的大脑连通性措施的可靠性。这种研究大脑区域之间连通性的空间模式的方法最近已经看到了密集的生长时期。最近的出版物表明，该方法可能能够深入了解支持大脑在人类健康中综合功能的大脑区域之间相互作用的大规模结构。越来越多的文献表明，在许多精神分裂症，抑郁症和自闭症等许多精神健康疾病中，通常观察到的连通性模式的偏差可能是一个基本原因。在应用此方法时，在计算连通性统计测量之前，必须将大量的处理步骤应用于数据。目前缺乏关于不同方法的预处理方法对使用FCMRI获得的结果可靠性的影响的知识。所需的一种处理涉及去除心脏和呼吸诱导的大脑脉动引起的信号变化。当前通常使用简单的数字过滤方法。理论上的考虑表明，这种类型的处理可能不会给出最佳的结果。这项研究将研究通过使用更复杂的方法来研究的改进，这些方法涉及利用MRI扫描时从受试者中测得的心脏和呼吸周期记录。影响结果的准确性和可靠性的另一个因素涉及必须进行的处理，以便可以进行比较。为了在不同受试者的相应大脑区域之间进行比较，必须将大脑扫描进行对齐。在神经科学界众所周知，用于实现这一目标的不同数学工具是不完美的，并且不同的方法引入了不同的错误。这项研究将调查由于应用不同方法实现这一比对而导致的可靠性差异。为了使研究结果足够通用，可以作为研究人员的指南，我们将从大量健康个体中获取FCMRI数据，并使用称为自举设计的研究设计。将从大约100名志愿者中的每一个中获取多个MRI数据集。所有受试者的数据将与研究中考虑的每种不同的处理方法进行处理。该方法遵循选择受试者子集并计算FCMRI度量的程序。从程序结果计算出主题内部和受试者间可靠性的下一个措施。重复此基本过程大量构建大量测量值，可以从中计算出可靠的统计数据。这项研究得出的结果将使FCMRI领域的研究人员能够进行更明智的研究设计，并有助于解释结果的有效性。这项研究代表了验证FCMRI作为表征正常和病理脑功能的生物标志物的重要下一步。该研究旨在验证一种新兴方法的结果，称为静止状态fMRI，以了解人类和动物脑连接性。它将指导从业者使用此方法实现最佳结果的技术要求。这项拟议的研究既有助于基本的神经科学和临床神经科学，并将为未来的研究为表征大脑连通性的未来研究提供基础，并破坏各种患者人群中的连通性。