Affective Deficits in Schizophrenia

精神分裂症的情感缺陷

基本信息

批准号：
7337299
负责人：
ELLEN S HERBENER
金额：
$ 16.18万
依托单位：
UNIVERSITY OF ILLINOIS AT CHICAGO
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-01-01 至 2009-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7337299
关键词：
Address Affective Amygdaloid structure Area Behavior Behavioral Characteristics Clinical Cognitive Cognitive deficits Consultations Cues Data Decision Making Development Emotional Emotions Episodic memory Event Face Faculty Failure Functional Imaging Functional Magnetic Resonance Imaging Functional disorder Future Goals Gur Hippocampus (Brain)Histologic Hylobates Genus Image Image Analysis Impaired cognition Individual Laboratories Link Magnetic Resonance Imaging Medial Memory Memory impairment Mentally Ill Persons Mentors Methods Modeling Neuroanatomy Neurosciences Outcome Patients Perception Physics Play Population Process Purpose Research Research Personnel Retrieval Rewards Role Schizophrenia Semantics Series Severities Specialized Center Statistical Methods Stimulus System Techniques Testing Training Training and Education Validation Work affective neuroscience career cognitive neuroscience data acquisition design emotional reaction emotional stimulus experience memory process neural circuit neuroimaging patient oriented research programs research and development response showing emotion skills statistics

项目摘要

DESCRIPTION (provided by applicant): The purpose of this Mentored Patient-Oriented Research Career Development proposal is to request support to develop an integrated affective and cognitive neuroscience approach to investigate affective deficits in schizophrenia. The primary aim of the research is to functionally assess neural circuitry that is critically involved in basic processes linking emotional and cognitive information. Accurate encoding and retrieval of affective information and linkage of this experience to events and cues in memory are particularly important because they contribute to motivational states and provide information utilized for adaptive decision-making. The current research plan focuses on developing behavioral and functional imaging paradigms to assess basic memory processes that encode and recognize affective information. The proposed career development and research plans are designed to prepare the candidate to: a) design theoretically-driven tasks to probe utilization of affective information in memory, and b) use these tasks to investigate dysfuntion in neural circuitry involved in emotional and mnemonic function in individuals with schizophrenia. To achieve these goals, the candidate will pursue career development activities which focus on a) advanced training and consultation with experts in affective and cognitive neuroscience to inform assessment of new cognitive-affective stimuli and tasks, b) education and training in MR physics and advanced statistical methods to support effective use of fMRI data acquisition techniques and image analysis, and c) consultation with expert clinical affective and cognitive neuroscientists to enable sophisticated analysis and interpretation of behavioral and neuroimaging data in patient populations. Dr. John Sweeney mentors this project, with significant participation by consultants in affective neuroscience, clinical neuroscience, MR physics, and advanced statistical analysis. This training will enable the candidate to effectively integrate strategies used in affective and cognitive neuroscience paradigms to investigate deficits in affective-cognitive processes in schizophrenia, and to develop the skills and expertise necessary to continue this important line of research as an independent investigator.

描述（由申请人提供）：这项以患者为导向的研究职业发展提案的目的是请求支持开发一种综合的情感和认知神经科学方法来调查精神分裂症的情感缺陷。该研究的主要目的是从功能上评估神经回路，该回路在连接情感和认知信息的基本过程中至关重要。情感信息的准确编码和检索以及这种体验与记忆中的事件和线索的联系尤其重要，因为它们有助于动机状态并提供用于适应性决策的信息。目前的研究计划侧重于开发行为和功能成像范例，以评估编码和识别情感信息的基本记忆过程。拟议的职业发展和研究计划旨在帮助候选人做好准备：a）设计理论驱动的任务来探索记忆中情感信息的利用，以及b）使用这些任务来研究涉及情绪和记忆功能的神经回路的功能障碍。患有精神分裂症的人。为了实现这些目标，候选人将从事职业发展活动，重点是a）情感和认知神经科学专家的高级培训和咨询，以便为新的认知情感刺激和任务的评估提供信息，b）MR物理和高级的教育和培训支持有效使用功能磁共振成像数据采集技术和图像分析的统计方法，以及 c) 与临床情感和认知神经科学家专家协商，以便对患者群体的行为和神经影像数据进行复杂的分析和解释。 John Sweeney 博士指导该项目，情感神经科学、临床神经科学、MR 物理学和高级统计分析领域的顾问大量参与。这项培训将使候选人能够有效地整合情感和认知神经科学范式中使用的策略，以调查精神分裂症情感认知过程的缺陷，并培养作为独立研究者继续这一重要研究领域所需的技能和专业知识。