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Structural and Neurometabolic White Matter Integrity in the Deficit Syndrome

缺陷综合征中的结构和神经代谢白质完整性

基本信息

批准号：
9763644
负责人：
Nina Vanessa Kraguljac
金额：
$ 14.54万
依托单位：
UNIVERSITY OF ALABAMA AT BIRMINGHAM
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-16 至 2021-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9763644
关键词：
Abnormal Cell Anisotropy Applications Grants Attenuated Autopsy Blood flow Brain Brain imaging Categories Characteristics Clinical Development Diffusion Magnetic Resonance Imaging Disease Enrollment Functional Magnetic Resonance Imaging Glutamates Glutamine Goals Impairment Inferior Intervention Knowledge Lead Magnetic Resonance Spectroscopy Matched Group Measurement Measures Mental disorders Multimodal Imaging N-acetylaspartate Neuroglia Neuronal Plasticity Neurons Neuropsychology Onset of illness Outcome Parietal Parietal Lobe Patients Pattern Pharmacology Prevalence Preventive Principal Investigator Process Psychiatric Diagnosis Psychotic Disorders Quality of life Reporting Research Rest Risk Schizophrenia Severity of illness Specificity Structure Structure-Activity Relationship Subgroup Symptoms System Taxonomy Techniques Testing Tissues Training Translational Research biomarker identification biosignature brain circuitry career clinical phenotype clinical subtypes deficit syndrome first episode psychosis first episode schizophrenia imaging study in vivo indexing longitudinal design mental development multimodality myoinositol neuroimaging neuroimaging marker neurophysiology outcome forecast prognostic public health relevance relating to nervous system white matter

项目摘要

DESCRIPTION (provided by applicant): The current system of psychiatric diagnosis does not include characteristics that delineate patterns of symptoms, severity of illness or prognostic features. This greatly hinders progress in our understanding of mental illness and development of more specific treatments. The deficit syndrome is thought to be a more homogeneous subgroup of schizophrenia that is characterized by primary and enduring negative symptoms. It is associated with greater global impairment, lower quality of life, and poorer long-term outcome. We propose to use multimodal neuroimaging to study 20 schizophrenia patients with the deficit syndrome, 20 schizophrenia patients without the deficit syndrome, and 20 matched healthy controls. We will use (1) Diffusion Tensor Imaging to measure structural white matter integrity, (2) Magnetic Resonance Spectroscopy to measure neurometabolic white matter integrity, and (3) resting state functional MRI to measure functional connectivity to test the hypotheses that white matter integrity and related functional connectivity patterns differ between deficit and non-deficit schizophrenia. Using complementary neuroimaging techniques will allow generating a broad characterization of structural and neurometabolic white matter abnormalities and their functional consequences in the deficit syndrome. The results of proposed study might not only lead to identification of biomarkers that can assist in identification of patients at risk for developing the deficit syndrome before the clinical picture manifests, it will also provide the training necessary to prepare the candidate for an independent research career with focus on translational research in psychotic disorders.

描述（由申请人提供）：目前的精神病诊断系统不包括描述症状模式、疾病严重程度或预后特征的特征。这极大地阻碍了我们对精神疾病的理解和更具体治疗方法的发展。缺陷综合征被认为是精神分裂症的一个更同质的亚组，其特征是原发性和持久的阴性症状。它与更大的全球损害，更低的生活质量和更差的长期结果有关。我们建议使用多模式神经影像学研究20例精神分裂症患者的缺陷综合征，20例精神分裂症患者没有缺陷综合征，和20个匹配的健康对照。我们将使用（1）弥散张量成像测量结构白色物质完整性，（2）磁共振波谱测量神经代谢白色物质完整性，（3）静息状态功能MRI测量功能连接，以检验缺陷型和非缺陷型精神分裂症之间白色物质完整性和相关功能连接模式不同的假设。使用互补的神经影像学技术将允许产生广泛的结构和神经代谢白色物质异常及其功能的缺陷综合征的后果的特点。拟议研究的结果不仅可能导致生物标志物的鉴定，可以帮助在临床表现之前识别有发展缺陷综合征风险的患者，它还将提供必要的培训，为候选人的独立研究生涯做好准备，重点是精神障碍的转化研究。