U of Cincinnati Bipolar Disorder Imaging & Treatment Research Center (BITREC)

辛辛那提大学双相情感障碍成像

• 批准号: 7880735
• 负责人: STEPHEN M STRAKOWSKI
• 金额: $ 189.47万
• 依托单位: UNIVERSITY OF CINCINNATI
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7880735
• 关键词: Cincinnati; Bipolar; Disorder; Imaging; Treatment

Bipolar disorder is a dynamic, progressive illness in which treatment decisions are made empirically. Neuroimaging has helped to define neurophysiological models of bipolar disorder that offer the promise of improving treatment assignment by identifying markers and predictors of treatment response and disease progression. We propose the UC Bipolar Disorder Imaging & Treatment Research Center (BITREC) to meet this promise. The overall hypothesis and organizing theme guiding this center is that bipolar disorder results from dysfunctional brain metabolism within specific brain systems (i.e., the anterior limbic network) that can be monitored in response to treatments using magnetic resonance imaging (MRI) and spectroscopy (MRS). In this center, we will integrate MRI and MRS with outcome measures and treatment trials in order to develop specific neurophysiological models of treatment response early in the course of bipolar disorder. These models will provide the means to identify markers and predictors of treatment response to individualize medication prescription, thereby minimizing affective recurrences, preventing disease progression, and improving long-term course of illness. In order to achieve our goals, we will integrate our extensive prior experience and current resources to create specific research and administrative cores; these cores will be used to establish the BITREC infrastructure. With this infrastructure in place, we will recruit a large sample of bipolar patients early in the course of illness (prior to significant illness progression), as well as a cohort of at-risk subjects (adolescents without bipolar disorder, but with bipolar parents). These subjects will be asked to participate in specific projects integrating MRI, MRS, treatment and clinical outcome in order to refine existing models of the neurophysiology of bipolar disorder. We will use these models in order to identify specific neurophysiological markers of treatment response in order to clarify the effects that different medications have on bipolar neurophysiology. We will then use these markers to develop specific neurophysiological predictors of treatment response and illness progression in bipolar disorder. Finally, we will apply these models to at-risk patients (prior to developing a first manic episode) in order to prevent or delay the onset of bipolar disorder.

躁郁症是一种动态的，进行性疾病，在经验上做出治疗决策。 神经影像学有助于定义双相情感障碍的神经生理模型，这些模型通过识别标记和治疗反应和疾病进展的预测来改善治疗分配的希望。我们提出了UC躁郁症成像与治疗研究中心（BITREC）以实现这一诺言。指导该中心的总体假设和组织主题是，躁郁症是由于特定脑系统（即前边缘网络）内的脑代谢功能失调引起的 使用磁共振成像（MRI）和光谱法（MRS）来响应处理治疗。 在这个中心，我们将将MRI和MRS与结果指标和治疗试验相结合，以便在双相情感障碍过程中早期开发特定的治疗反应神经生理模型。 这些模型将提供一些方法，以识别对个性化药物处方的治疗反应的标记和预测指标，从而最大程度地减少情感复发，预防疾病进展并改善长期疾病。为了实现我们的目标，我们将融合我们丰富的先前经验和当前资源，以创建特定的研究和行政核心；这些核心将用于建立BITREC基础架构。借助该基础设施，我们将在疾病的早期（在疾病进展之前）以及一系列高危受试者（没有双极疾病的青少年，但与双极父母）一起招募大量的双极患者样本。这些受试者将被要求参与整合MRI，MRS，治疗和临床结果的特定项目，以完善现有的双相情感障碍神经生理模型。我们将使用这些模型来 确定治疗反应的特定神经生理学标志物，以阐明不同药物对双极神经生理学的影响。然后，我们将使用这些标记来开发躁郁症治疗反应和疾病进展的特定神经生理学预测因子。最后，我们将将这些模型应用于处于危险患者（在开发第一次躁狂发作之前），以防止或延迟双相情感障碍的发作。