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AFFECTIVE DYSFUNCTION IN SCHIZOPHERNIA

AFFECTIVE DYSFUNCTION IN SCHIZOPHERNIA
精神分裂症的情感功能障碍
批准号:
6844346
负责人:
Ruben C. Gur
金额:
$46.29万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-02-01 至 2006-05-31

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中文摘要
翻译
描述:(改编自申请人的摘要)建议的目标 研究是通过融合来检查精神分裂症患者的情绪处理 神经行为、结构和功能神经成像方法。情绪化 功能障碍已被认为是精神分裂症的主要缺陷。预付款 在神经科学中提供了前所未有的工具来探索 健康人的情绪处理和测定的精确度提高 精神分裂症患者功能障碍的机制。这 对了解其表现、病程和治疗有一定意义。 精神分裂症患者的反应。 建议的调查路线将使用3-D评估情绪处理 情绪的面部表情的刺激。这个神经行为领域将是 与神经认知过程和评估 症状和功能,特别强调情感状态。大脑行为 关系将通过同时进行的神经解剖学评估与 磁共振成像(MRI)和更具特异性的神经行为探针 使用功能磁共振成像(FMRI)。解剖学研究允许体积测量 额颞部结构与情绪调节有关。这个 神经行为任务是为了剖析情绪和认知过程而开发的 将作为神经行为探针应用于大脑的在线测量 用功能磁共振成像进行活动。这将提供对大脑系统的评估,这些系统 在任务执行期间在健康人中招募的,相对于有 在这样的任务中表现出缺陷的精神分裂症。 遗传策略在研究受影响家庭成员中的应用 拥有神经行为范式的先驱将允许两种行为模式的整合 精神分裂症、遗传学和行为学的强大研究策略 神经科学,需要评估遗传脆弱性。纵向设计 将允许评估神经行为测量的稳定性和 它们在摄入时与病程的关系。
英文摘要
DESCRIPTION: (Adapted from applicant's abstract) The goal of the proposed research is to examine emotion processing in schizophrenia through convergence of neurobehavioral, structural and functional neuroimaging methods. Affective dysfunction has been recognized as a major deficit in schizophrenia. Advances in neuroscience provide unprecedented tools to probe the neurobiology of emotional processing in healthy people and determine with increased precision the mechanism responsible for dysfunction in people with schizophrenia. This has implications for understanding the presentation, course and treatment response of individuals with schizophrenia. The proposed line of investigation will assess emotion processing applying 3-D stimuli of facial expressions of emotions. This neurobehavioral domain will be related to neurocognitive processes and to clinical measures that assess symptoms and function, with special emphasis on affective state. Brain behavior relations will be established by concurrent neuroanatomic evaluations with magnetic resonance imaging (MRI) and with more specific neurobehavioral probes using functional MRI (fMRI). The anatomic studies permit volumetric measures of fronto-temporal structures implicated in the regulation of emotion. The neurobehavioral tasks developed to dissect emotion and cognitive processing will be applied as neurobehavioral probes during online measurements of brain activity with fMRI. This will afford an evaluation of brain systems that are recruited in healthy people during task performance, relative to people with schizophrenia who manifest deficit on such tasks. The application of a genetic strategy by studying family members of affected probands with the neurobehavioral paradigms will permit the integration of two powerful research strategies in schizophrenia, genetics and behavioral neuroscience, needed to assess genetic vulnerability. The longitudinal design will allow assessment of the stability of the neurobehavioral measures and their relation, at intake, to course of illness.
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