PHENOMENOLOGY AND CLASSIFICATION OF SCHIZOPHRENIA

精神分裂症的现象学和分类

• 批准号: 6638956
• 负责人: NANCY C ANDREASEN
• 金额: $ 78.27万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 1985
• 资助国家: 美国
• 起止时间: 1985-09-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6638956
• 关键词: behavior test; behavioral /social science research tag; behavioral genetics; brain imaging /visualization /scanning; chronic disease /disorder; clinical research; cognition; diagnosis design /evaluation; disease /disorder classification; human subject; longitudinal human study; magnetic resonance imaging; mental disorder diagnosis; neuroanatomy; neuropsychological tests; pathologic process; phenotype; psychological tests; psychometrics; psychomotor function; schizophrenia; sign /symptom

DESCRIPTION (Adopted from the Applicant's Abstract): This application is a request for competitive renewal or our research on the diagnosis and phenomenology of schizophrenia. The work aims to understand the phenomenology of schizophrenia in terms of its underlying mechanisms, refine our definition of its phenotype, and describe the lifelong trajectory of the illness and its long-term outcome. Since the disorder is characterized by a prolonged lifetime course, longitudinal study of informative cohorts is one of the most powerful strategies for understanding its mechanisms and defining its phenotype. This project seeks to refine the definition of the phenotype of schizophrenia by examining the predictive validity of two different competing models in a large sample of first episode and recent onset patients who are followed longitudinally at multiple time points. One approach, a tridimensional model that defines the phenotype using three symptom clusters (psychoticism, disorganization, and negative symptoms) is currently widely accepted and studied. The second approach proposes a new unitary model of schizophrenia as defined at the systems level by a fundamental cognitive deficit ("cognitive dysmetria") and at the neural level by an abnormality in cortical-cerebellar-thalamic-cerebellar circuitry (CCTCC). The predictive validity of these two models will be compared using four validators derived from the evaluation of long-term course: clinical outcome psychosocial outcome, cognition, and brain morphology.

说明书(摘自申请人的摘要)： 此申请是竞争更新请求或我们对 精神分裂症的诊断和现象学。这项工作的目的是了解 精神分裂症现象学在其潜在机制方面的提炼 我们对其表型的定义，并描述了 疾病及其长期后果。由于这种疾病的特征是 漫长的一生历程，信息队列的纵向研究是其中之一 了解其机制和定义其机制的最有效策略 表型。这个项目试图完善表型的定义 通过检验两种不同竞争的预测效度研究精神分裂症 在大样本首发和新发患者中的模型 在多个时间点纵向跟踪。一种方法是立体的 使用三个症状群定义表型的模型(精神病、 组织混乱和阴性症状)目前被广泛接受 学习。第二种方法提出了一种新的精神分裂症统一模型，即 在系统层面上由基本认知缺陷(“认知缺陷”)来定义 宫缩困难“)和神经水平上的异常 皮质-小脑-丘脑-小脑回路(CCTCC)。预测性的 这两个模型的有效性将使用得到的四个验证器进行比较 从长期病程评估：临床结果、心理社会结果、 认知和大脑形态。