Effect of Mood on Cognition: A Neuropsychometric Approach to Brain Imaging

描述(申请人提供)：这项研究的目的是为了更好地理解情绪制约自我评价认知的大脑机制。我们提出了一种新的神经心理测量方法，试图将心理测量(即情绪状态测量)的优点与时间敏感性密集阵列脑电(DEEG)相结合。我们还利用DEEG来源分析方面的进展，以便将神经解剖学的发现与背景联系起来。这种方法不仅有助于解释结果，而且还使我们能够更直接地测试临床神经科学文献中建议的情感和认知脑过程模型。情绪的二维模型(积极情绪和消极情绪)有望解释与自我评估认知有关的背侧-内侧和腹侧-外侧皮质网络中的不同大脑活动。神经心理测量学方法利用单词描述符的心理测量学特性(例如，平静)来放大与积极情绪相关的DEEG中的差异 或负面影响。为每个描述符项导出加权统计量，该加权统计量描述项与感兴趣的心理测量量表相关联的程度。在大脑成像过程中，健康的成年参与者评估每个单词的自我描述程度。然后，根据描述符与PA和NA的关联，分别对DEEG的单项试验进行加权。平均数据预计将反映自我评估认知的神经指标中心理测量维度的中心趋势。模拟的神经源活动将被用来测试与适应不良自我评估(即抑郁)相关的大脑功能模型。这项研究计划旨在帮助候选人在学术研究生涯的早期阶段取得进步。候选人寻求更好地理解精神病理学的大脑基础，并随后将这一知识用于开发和衡量日益有效的情绪心理障碍治疗方法。

DESCRIPTION (provided by applicant): The goal of the proposed research is to better understand the brain mechanisms that underlie mood constraints on self-evaluative cognition. We propose a novel neuropsychometric approach to this study that attempts to merge the strengths of psychometric measurement (i.e., measurement of mood state) with the temporal sensitivity dense array electroencephalography (dEEG). We also utilize advances in dEEG source analysis in order to contextualize findings in neuroanatomy. This methodology not only aids in the interpretation of results by also enables us to more directly test models of affective and cognitive brain processes that have been suggest in the clinical neuroscience literature. A two-dimensional model of mood (Positive Affect and Negative Affect) is expected to explain differential brain activity in dorsal-medial and ventral-lateral cortical networks related to self-evaluative cognition. The neuropsychometric approach utilizes psychometric properties of single-word descriptors (e.g., calm) to amplify variance in dEEG that is related to Positive Affect or Negative Affect. A weighting statistic is derived for each descriptor item that describes the extent to which the item is associated with the psychometric scale of interest. During brain imaging, healthy, adult participants evaluate the extent to which each word is self- descriptive. Single trials of dEEG are then weighted according to the descriptor's association with PA and NA, respectively. Averaged data is expected to reflect the central tendency of the psychometric dimensions in neural indices of self-evaluative cognition. Modeled neural source activity will be used to test a model of brain function associated with maladaptive self-evaluation (i.e. depression). This research program is designed to assist the candidate's progress in the early stages of an academic research career. The candidate seeks to better understand the brain basis of psychopathology, and subsequently employ this knowledge in the development and measurement of increasingly efficacious treatments for mood-based psychological disorders.