Neural asynchrony underlying poor cognitive control in severe psychopathology

严重精神病理学中认知控制不良的神经异步性

• 批准号: 8871031
• 负责人: Scott R Sponheim
• 金额: $ 6.3万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2017-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8871031
• 关键词: Affect; Anterior; Area; Behavior; Behavioral Genetics; Biological; Biological Neural Networks; Biological Preservation; Bipolar Disorder; Brain; Brain region; Brodmann' s area; Candidate Disease Gene; Characteristics; Cognitive; Cues; Data; Diagnosis; Dimensions; Electroencephalography; Exhibits; Expectancy; Failure; Family Study; Frequencies; Functional Magnetic Resonance Imaging; Functional disorder; Genes; Genetic; Genetic Variation; Genotype; Goals; Individual; Inferior; Knowledge; Measurable; Measures; Mental disorders; Moods; Nature; Neurons; Parietal; Participant; Patient Self-Report; Pattern; Phenotype; Physiology; Prefrontal Cortex; Prevalence; Psychopathology; Psychotic Disorders; Relative (related person); Research Design; Risk; Sampling; Schizoaffective Disorders; Schizophrenia; Short-Term Memory; Source; Symptoms; Testing; Time; Update; Work; base; behavior measurement; behavioral response; cognitive control; deviant; effective intervention; genetic element; hemodynamics; indexing; neural circuit; public health relevance; relating to nervous system; response; severe mental illness

 DESCRIPTION (provided by applicant): Severe mental disorders are associated with poor cognitive control that is evident in a failure to update responses for new circumstances, effectively use short-term memory, and inhibit behavioral responses. Limited goal-oriented control over cognition and behavior creates measurable difficulties in the day-to-day functioning of people with severe psychopathology. Despite accumulating evidence of a network of cortical regions underlying cognitive control functions, the dynamic interaction of brain regions that yield these functions are unknown. The overarching goal of the proposed work is to better understand the neural basis of compromised context updating, working memory, and response inhibition in severe psychopathology by detailing the strength and timing of bioelectrical oscillations within cortical regions composing the neural network underlying cognitive control. As part of this project, we will first identify cortical regions and frequencies pertinent to cognitive control. Through combined use of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) data gathered from people with severe psychopathology, their first-degree biological relatives, and healthy controls we will identify cortical sources common to context updating and response inhibition and identify bioelectrical oscillations in these brain regions instrumental to cognitive control. Second, we will test the generalization of oscillatory abnormalities to other samples of participants and other tasks (e.g., working memory) in order to fully determine common aspects of the cortical network governing cognitive control and what abnormalities exist in severe psychopathology. The broader samples will include individuals with severe mood dysregulation and psychosis. Third, we will test neural network oscillations for relevance to symptom, behavioral, and genetic elements of severe psychopathology. Specifically, we will investigate the significance of abnormal oscillatory activity during cognitiv control in severe psychopathology by examining associations with dimensions of symptomatology, additional behavioral measures of cognitive control, and polygenic predictors of risk for severe psychopathology as well as candidate genes identified as related to cognitive control and severe psychopathology. Completion of the aims will identify abnormalities in the temporal dynamics of activity within cortical regions underlying impaired cognitive control in severe psychopathology. New knowledge gained from this work will enable more effective interventions that target specific neural circuits in severe mental disorders and may involve the direct manipulation of brain activity. Project Units of Analysis: Units of analysis include circuit, physiology, behavior, genes, self-report.

 描述（由适用提供）：严重的精神障碍与认知控制差有关，这是未能更新新情况的反应，有效使用短期记忆并抑制行为反应的证据。对认知和行为的目标有限的控制，在严重的精神病理学患者的日常功能中产生了可衡量的难度。尽管积累了认知控制功能基础的皮质区域网络的证据，但大脑区域的动态相互作用产生 这些功能未知。拟议工作的总体目标是更好地了解严重心理病理学的上下文更新，工作记忆和反应抑制的神经元基础，通过详细详细介绍组成神经元网络基于认知控制的神经元网络的皮质区域内生物电气振荡的强度和时机。作为该项目的一部分，我们将首先确定与认知控制有关的皮质区域和频率。通过联合使用功能磁共振成像（fMRI）和脑电图（EEG）数据，从患有严重心理病理学的人，其一级生物学亲戚和健康的控制中收集的数据，我们将确定常见的皮质来源， 上下文更新和响应抑制，并确定这些大脑区域中对认知控制有帮助的生物电气振荡。其次，我们将测试振荡异常对其他参与者和其他任务样本（例如工作记忆）的概括，以便充分确定管理认知控制的皮质网络的共同方面以及严重的精神病理学中存在什么异常。更广泛的样本将包括患有严重情绪失调和精神病的个体。第三，我们将测试神经网络振荡是否与严重心理病理学的症状，行为和遗传因素有关。具体而言，我们将通过检查与症状学的维度，认知控制的其他行为度量以及严重精神病理学风险的多基因预测指标以及与认知能力对照和严重的心理病理相关的候选基因的多基因预测指标，研究严重心理病理学在认知控制过程中异常振荡活性的重要性。目的的完成将确定在严重心理病理学中认知控制障碍的皮质区域内活动的暂时动态异常。从这项工作中获得的新知识将实现更有效的干预措施，以针对严重精神疾病的特定神经元电路，并可能涉及直接操纵大脑活动。分析项目单位：分析单位包括电路，生理，行为，基因，自我报告。