PHENOMENOLOGY AND CLASSIFICATION OF SCHIZOPHRENIA

精神分裂症的现象学和分类

• 批准号: 6538546
• 负责人: NANCY C ANDREASEN
• 金额: $ 77.19万
• 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/6538546
• 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）： 此申请是一个竞争性更新或我们的研究的要求， 精神分裂症的诊断和现象学。这项工作旨在了解 精神分裂症的现象学在其潜在的机制，完善 我们对其表型的定义，并描述了 疾病及其长期后果。由于这种疾病的特点是 长期的生命历程，信息队列的纵向研究是一个 了解其机制和定义其 表型该项目旨在完善表型的定义， 精神分裂症的预测有效性，通过检查两个不同的竞争 模型在大样本的首次发病和最近发病的患者谁是 在多个时间点进行纵向随访。一种方法，一种三维的 使用三个症状群（精神病， 混乱和阴性症状）目前被广泛接受， 研究了第二种方法提出了一种新的精神分裂症单一模型， 在系统水平上由基本认知缺陷（“认知缺陷”）定义 在神经水平上， 皮质-小脑-丘脑-小脑回路（CCTCC）。预测 这两个模型的有效性将使用四个验证器进行比较， 从长期病程的评估：临床结果和心理社会结果， 认知和大脑形态学。