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Visual processing in schizophrenia and SPD

Visual processing in schizophrenia and SPD
精神分裂症和 SPD 中的视觉处理
批准号:
7209809
负责人:
Brian Francis O'Donnell
金额:
$21.37万
依托单位国家:
美国
项目类别:
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-07-01 至 2010-03-31

项目摘要

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中文摘要
翻译
描述(由申请人提供): 这是重新提交竞争性续签申请。大脑区域之间的协调性丧失或断开连接可能导致精神分裂症中观察到的认知缺陷。这种整合的损失已被归因于神经同步的普遍缺陷,这可能是神经系统内的时间处理和感知整合的关键。该项目将使用行为和电生理(EEG)方法来评估精神分裂症患者和典型人格障碍(SPD)患者的神经同步,时间处理和认知整合。将在瞬态和稳态事件相关电位(ERP)中分析信号功率、噪声和相位关系。心理物理测量将用于捕获可能与神经同步相关的感知和认知参数,包括运动阈值、计算效率、内部噪声和工作记忆操作。我们假设,精神分裂症患者将显示降低EEG功率,相位同步较差,和更高的噪声在EEG响应,而SPD科目将显示感觉过度激活和注意力缺陷的电生理证据。在行为任务上,精神分裂症患者和SPD受试者都会表现出更严重的缺陷,对时间和特征整合的需求增加,更精确的时间分辨率和更大的记忆负荷。与非家族性SPD受试者相比,家族性SPD受试者将表现出更严重的智力障碍和社会适应不良。这些发现可能会识别SZ和SPD共同的神经行为缺陷,以及区分这些疾病的特征。
英文摘要
DESCRIPTION (provided by applicant): This is a resubmission of a competitive renewal application. A loss of coordination, or disconnection, among brain regions may contribute to the cognitive deficits observed in schizophrenia. This loss of integration has been attributed to a pervasive deficit in neural synchronization, which may be critical for temporal processing and perceptual integration within the nervous system. This project will use behavioral and electrophysiological (EEG) methods to evaluate neural synchronization, temporal processing, and cognitive integration in patients with schizophrenia and in participants with schizotypal personality disorder (SPD). Signal power, noise, and phase relationships will be analyzed in transient and steady state event-related potentials (ERPs). Psychophysical measures will be used to capture perceptual and cognitive parameters which may be associated with neural synchrony, including motion thresholds, calculation efficiency, internal noise, and working memory operations. We hypothesize that patients with schizophrenia will show reduced EEG power, poorer phase synchronization, and higher noise in EEG responses, while SPD subjects will show electrophysiological evidence of sensory hyperactivation and attention deficit. On behavioral tasks, both schizophrenic patients and SPD subjects will show more severe deficits with increased demands for temporal and feature integration, more precise temporal resolution, and greater memory load. Familial SPD subjects will show more severe intellectual impairment and social maladjustment compared to non-familial SPD subjects. These findings may identify neurobehavioral deficits common to SZ and SPD, as well as features which differentiate these disorders.
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Graph Theoretic Analysis of Brain Networks in Cannabis Users
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