情绪调节、青少年发展和抑郁的神经结构-猫眼课题宝

情绪调节、青少年发展和抑郁的神经结构

批准号：

9392198

负责人：

Michael C Stevens

金额：

$77.56万

依托单位：

HARTFORD HOSPITAL

依托单位国家：

美国

项目类别：

财政年份：

2014

资助国家：

美国

项目状态：

已结题

起止时间：

2014-12-15 至 2020-11-30

来源：

https://reporter.nih.gov/project-details/9392198

关键词：

Acute Adolescent Adolescent Development Affective Age Amygdaloid structure Anxiety Disorders Architecture Biological Markers Biological Neural Networks Brain Brain region Chronic Cognitive Complex Conscious Cues Data Depressed mood Diagnosis Disease Disease remission Down-Regulation Eating Disorders Emotional Emotional disorder Emotions Family Feeling Functional Magnetic Resonance Imaging Functional disorder Future Goals Image Impairment Individual Differences Knowledge Link Major Depressive Disorder Measures Mediating Mental Depression Mental disorders Methods Modeling Mood Disorders Nature Neural Network Simulation Neurobiology Participant Pathway interactions Patient Self-Report Patients Personality Physiological Predisposition Prefrontal Cortex Psychopathology Public Health Reaction Recording of previous events Recurrence Research Risk Selective Serotonin Reuptake Inhibitor Series Severities Stimulus Subgroup Symptoms System Teenagers Testing Up-Regulation Work base brain dysfunction causal model child depression cognitive reappraisal disorder control disorder risk emotion regulation emotional experience gain of function imaging study network architecture network dysfunction neuroimaging neuroregulation novel positive emotional state public health relevance relating to nervous system response sex success tool trait treatment duration

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中文摘要

翻译

描述（由申请人提供）：该项目的目标是使用功能性MRI沿着功能/有效连接分析工具，以更好地表征参与情绪调节（ER）的神经网络，并识别青少年重度抑郁症（MDD）的ER网络异常-一种高度流行的复发性精神疾病，其衰弱和典型的慢性性质与公共卫生高度相关。通过对ER网络脑区相互作用的详细分析所提供的知识将为情感和认知脑系统如何以各种方式相互作用以调节情绪提供重要的神经科学理解。这不仅对抑郁症有用，而且对许多其他精神疾病的研究也很有用。

英文摘要

DESCRIPTION (provided by applicant): The project goals are to use functional MRI along with functional/effective connectivity analysis tools to better characterize neural networks involved in emotion regulation (ER) and to identify ER network abnormalities in adolescent Major Depressive Disorder (MDD) - a highly prevalent, recurrent psychiatric disorder whose debilitating and typically chronic nature is highly relevant to public health. The knowledge provided by the proposed detailed analysis of ER network brain region interactions will provide important neuroscientific understanding about how affective and cognitive brain systems interact to modulate emotion in various ways. This will be useful not only for depression, but also to research of numerous other psychiatric disorders.

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