Taking advanced diffusion imaging to the clinic for pediatric patients with ADHD

将先进的扩散成像技术应用于临床治疗多动症儿科患者

• 批准号: 8973579
• 负责人: Yogesh Rathi
• 金额: $ 54.77万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-18 至 2017-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8973579
• 关键词: Adolescent; Adoption; Affect; Algorithms; Anisotropy; Applications Grants; Architecture; Attention deficit hyperactivity disorder; Biological Neural Networks; Brain; Brain Diseases; Brain region; Child; Childhood; Clinic; Clinical; Clinical Research; Complex; Computational algorithm; Data; Data Set; Diffusion; Diffusion Magnetic Resonance Imaging; Evaluation; Fiber; Functional Magnetic Resonance Imaging; Goals; Graph; Health; Image; Imaging Techniques; Joints; MRI Scans; Maps; Measurement; Measures; Mental disorders; Methods; Modality; Morphologic artifacts; Motion; Outcome; Pathology; Pathway interactions; Patients; Pharmaceutical Preparations; Population; Property; Protocols documentation; Research Personnel; Resolution; Rest; Sampling; Scanning; Scheme; Signal Transduction; Slice; Techniques; Technology; Testing; Time; Validation; Work; base; image reconstruction; imaging modality; improved; in vivo; nervous system disorder; neural circuit; non-compliance; novel; pediatric patients; reconstruction; relating to nervous system; symptomatology; treatment strategy; white matter

DESCRIPTION (provided by applicant): In this grant application, we propose to develop clinicaly feasible methods for the acquisition and analysis of advanced diffusion magnetic resonance imaging (dMRI) of pediatric patients and apply it to study micro and macro level pathology in attention-deficit hyperactivity-disorder (ADHD). Advanced dMRI techniques can provide details about the layout of white matter pathways in the brain, that are not possible using the current clinical standard of diffusion tensor imaging (DTI). However, these advanced protocols require long scan times and any motion during this time results in artifacts and loss of signal. As a result, dMRI acquisition of children becomes a challenging task, particularly if they are hyperactive (as in ADHD). In this grant application, we propose several novel algorithms for fast acquisition and reconstruction of advanced dMRI protocols. In particular, we will use our multi-slice acquisition protocol (as opposed to the standard single-slice acquisition) along with a scheme to recover dMRI signals from very few measurements. This will dramatically reduce scan time and make it possible to obtain advanced dMRI scans of pediatric patients (in a clinic). We will validate our methods on several test subjects and then apply them to the study of children and adolescents with ADHD. In particular, we will analyze global connectivity properties of the anatomical neural networks in ADHD along with local diffusion based microstructural properties that may be affected due to pathology. Thus, the improvements suggested in this proposal will bring advanced dMRI protocols to the clinic and allow us to quantify micro and macro level abnormalities in patients with any type of psychiatric or neurological disorder.

描述（由申请人提供）：在本拨款申请中，我们建议开发临床可行的方法来采集和分析儿科患者的高级扩散磁共振成像（dMRI），并将其应用于研究注意力缺陷的微观和宏观病理学多动症（ADHD）。先进的 dMRI 技术可以提供有关大脑中白质通路布局的详细信息，而使用当前的弥散张量成像 (DTI) 临床标准是不可能实现的。然而，这些先进的协议需要较长的扫描时间，并且在此期间的任何运动都会导致伪影和信号丢失。因此，儿童的 dMRI 采集成为一项具有挑战性的任务，特别是如果他们过度活跃（如 ADHD）。在本次资助申请中，我们提出了几种用于快速采集和重建高级 dMRI 协议的新颖算法。特别是，我们将使用我们的多切片采集协议（而不是标准的单切片采集）以及 方案从很少的测量中恢复 dMRI 信号。这将大大减少扫描时间，并使获得儿科患者（在诊所）的高级 dMRI 扫描成为可能。我们将在几个测试对象上验证我们的方法，然后将其应用于患有多动症的儿童和青少年的研究。特别是，我们将分析 ADHD 中解剖神经网络的全局连接特性以及可能因病理学而受到影响的基于局部扩散的微观结构特性。因此，本提案中提出的改进将为临床带来先进的 dMRI 方案，并使我们能够量化患有任何类型精神或神经疾病的患者的微观和宏观水平异常。