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）这项为期五年的研究的总体目标是 增进我们对精神分裂症谱系语言功能障碍的理解 使用事件相关电位、事件相关伽玛、实验性障碍 三名 DSM-IV 诊断临床患者的神经心理学和临床测量 组别：慢性精神分裂症（CS）、首发精神分裂症（FES）和 精神分裂型人格障碍（SPD）及其匹配的正常对照。这 使用三个临床组将能够研究差异和 精神分裂症谱系中语言障碍的相似性。 男性和女性语言处理的异同 这三个临床组将作为次要目标进行研究。 为了获得语言功能障碍的综合模型 精神分裂症谱系，我们将使用启发式语言模型，其中 语义组织包括三个不同但相互作用的组成部分 称为语义网络的属性、过程和内容。 属性指的是单词之间的连接权重，以及大小和词性。 网络的一致性。过程指的是激活、抑制和情境 使用（本地和全局）。网络内容包括文字、数字等 符号将不会被测量。我们建议逐步分解语言 功能受损最严重的是CS>FES>SPD。 我们将在对三名精神分裂症患者进行的为期五年的研究中检验这些假设 谱组：1）30名CS患者； 2）FES患者30例； 3) 30 SPD 个体和 30 名与每个临床组相匹配的正常对照 （n=90）。每个对照组将根据年龄、性别和父母社会经济地位进行匹配，以 其各自的临床组和所有受试者都将是右手， 英语作为他们的主要语言。 我们将使用 ERP、事件相关伽玛、实验神经心理学和 临床数据（思维障碍指数 TDI），用于研究语言障碍 三个临床组。因此，我们预测语义网络中的过度激活为 由 N400 索引，短刺激起始异步 (SOA) 的词对研究 在 SPD、FES 和 CS 中。异常抑制/情境利用的证据 过程可以在 N400、句子和段落研究中找到，其中大多数 CS>FES>SPD 严重受损。异常属性的证据 语义网络将出现在单词回忆的神经心理学研究中， 在 N400、词对、短 SOA 研究以及与事件相关的伽玛数据中， 它是FES和CS，但不是SPD。四个数据集之间的相关性分析 将寻求描述四个领域之间的关系 分析。我们预测女性在所有方面都会比男性表现出更少的损伤 这些措施。