Language Systems in Schizophrenia: Behavioral & ERP Data

精神分裂症的语言系统：行为

• 批准号: 6742536
• 负责人: MARGARET A NIZNIKIEWICZ
• 金额: $ 16.56万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-06-10 至 2007-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6742536
• 关键词: behavior; behavioral /social science research tag; clinical research; electroencephalography; human subject; interview; language disorders; longitudinal human study; neuropsychological tests; schizoid personality; schizophrenia; semantics; short term memory

DESCRIPTION: (provided by applicant) The broad aim of this five year study is to advance our understanding of language dysfunction in schizophrenia spectrum disorder using event-related potential, event-related gamma, experimental neuropsychological and clinical measures in three DSM-IV diagnosed clinical groups: chronic schizophrenia (CS), first episode schizophrenia (FES) and schizotypal personality disorder (SPD), and their matched normal controls. The use of the three clinical groups will afford studying both differences and similarities in language impairment across the schizophrenia spectrum. Similarities and differences in language processing in males and females in these three clinical groups will be studied as a secondary goal. In order to arrive at a comprehensive model of language dysfunction in the schizophrenia spectrum, we will use a heuristic model of language in which semantic organization includes three distinct but interacting components referred to as properties, processes, and content of semantic networks. Properties refer to connectivity weights among words, and to the size and the coherence of networks. Processes refer to activation, inhibition, and context use (both local and global). Network contents including words, numbers, and symbols will not be measured. We propose a gradual breakdown in language function with most impairment in CS>FES>SPD. We will test these hypotheses in a five-year study of three schizophrenia spectrum groups: 1) 30 patients with CS; 2) 30 patients with FES; and 3) 30 individuals with SPD, and 30 normal controls matched to each clinical group (n=90). Each control group will be matched for age, gender and parental SES to its respective clinical group and all subjects will be right handed, with English as their primary language. We will use ERP, event-related gamma, experimental neuropsychological, and clinicaldata (Thought Disorder Index TDI), to study language disorder in the three clinical groups. We thus predict over-activation in semantic networks as indexed by the N400, word-pair study at short stimulus onset asynchrony (SOA) in SPD, FES, and CS. The evidence of abnorma inhibitory/context utilization processes will be found in the N400, sentence and paragraph studies, with most severe impairment in CS>FES>SPD. The evidence of abnormal properties in semantic networks will be found in the neuropsychological study of word recall, in the N400, word-pair, short SOA study, and in the event-related gamma data, it FES and CS, but not in SPD. Correlational analyses among the four data sets will seek to characterize the relationships among the four domains of analysis.We predict that females will show less impairment than males on all these measures.

描述：（由申请人提供）这项五年研究的广泛目的是 促进我们对精神分裂症谱系中语言功能障碍的理解 使用事件相关电位，与事件相关的伽玛，实验性的疾病 三种DSM-IV诊断的神经心理学和临床测量 小组：慢性精神分裂症（CS），第一集精神分裂症（FES）和 精神分裂型人格障碍（SPD）及其匹配的正常对照。这 使用三个临床组的使用将负担研究差异和 精神分裂症谱系的语言障碍的相似性。 男性和女性语言处理的相似性和差异 这三个临床组将作为次要目标进行研究。 为了达到一种全面的语言功能障碍模型 精神分裂症谱，我们将使用一种语言启发式模型 语义组织包括三个不同但相互作用的组件 称为语义网络的属性，过程和内容。 属性是指单词之间的连接权重，大小和 网络的连贯性。过程是指激活，抑制和环境 使用（本地和全局）。网络内容，包括单词，数字和 符号将无法测量。我们建议语言逐渐破裂 在CS> fes> spd中具有大多数损害的功能。 我们将在三个精神分裂症的五年研究中检验这些假设 频谱组：1）30例CS患者； 2）30例FES患者； 3）30 SPD的个体，每个临床组匹配30个正常对照 （n = 90）。每个对照组的年龄，性别和父母SES都将与 其各自的临床组和所有受试者将是正确的， 英语是他们的主要语言。 我们将使用ERP，与事件相关的伽马，实验性神经心理学和 临床数据（思想障碍指数TDI），研究语言障碍 三个临床组。因此，我们将语义网络中的过度激活视为 由N400的单词对研究在短刺激发作异步（SOA）上索引 在SPD，FES和CS中。 Abnorma抑制/上下文利用的证据 过程将在N400，句子和段落研究中找到，大多数 CS> fes> spd中的严重损害。异常特性的证据 语义网络将在单词回忆的神经心理学研究中找到， 在N400，单词对，简短的SOA研究以及与事件相关的伽马数据中， 它是FES和CS，但不在SPD中。四个数据集之间的相关分析 将寻求表征四个领域之间的关系 分析。我们预测，女性的损害将比所有男性少 这些措施。