Pattern analysis of large-scale functional connectivity to predict implicit emoti

描述（由申请人提供）：当前提案旨在开发一种新的神经生物学标记物，该标记物基于内隐和阈下威胁相关面部情绪感知期间的全脑功能连接模式，以帮助诊断和评估社交焦虑（SAD）和惊恐障碍（PD）的治疗反应。提出了以下具体目标：具体目标1）。开发，应用和验证一种方法来估计大规模的功能网络的内隐和阈下威胁相关的和模糊的面部情绪处理在一个健康的控制对象池。 我们将首先测试在特定条件下测量的大规模偏相关性（即可见或不可见的恐惧和中性面孔的呈现）是否可以用作预测条件下呈现的刺激类型的特征（子目标1a）。然后，我们将测试用于预测恐惧与中性面部状况的最具信息量的特征是否是主要边缘系统和边缘系统节点之间的连接，以及预测中性与静息状态状况的最具信息量的特征是否是主要注意力，运动和感觉相关区域之间的连接（子目标1b）。 具体目标2）。确定SA1中开发的方法是否可能对SAD和PD的诊断和治疗具有潜在的临床应用。 我们将通过测试上述功能网络是否是可用于区分健康对照、SAD和PD受试者的信息性大脑特征来执行此操作（子目标2a）。我们还将测试该方法是否可用于确定SAD和PD中异常的特定子网络 公共卫生相关性：提出的方法可能有助于开发诊断SAD和PD的有效生物标志物。它还可以识别其模式在对照和SAD、对照和PD以及SAD和PD之间不同的功能连接。这将有助于我们理解和帮助这些不同的焦虑症的治疗方法的发展。

DESCRIPTION (provided by applicant): The current proposal is aimed at developing a novel neurobiological marker based on patterns of whole-brain functional connectivity during implicit and subliminal threat-related facial emotion perception to aid the diagnosis and assessment of treatment response in social anxiety (SAD) and panic disorder (PD). The following Specific Aims are proposed: Specific Aim 1). Develop, apply and validate an approach to estimate the large-scale functional networks of implicit and subliminal threat-related and ambiguous facial emotion processing in a healthy control subject pool. We will perform this by first testing whether large-scale partial correlations measured during a particular condition (i.e. presentation of visible or invisible fearful and neutral faces) can be used as features to predict the stimulus type presented during the condition (Sub-aim 1a). We will then test whether the most informative features for predicting fearful vs. neutral face conditions are connections among primarily limbic and paralimbic nodes, and that the most informative features in predicting neutral vs. resting states conditions are connections among primarily attention, motor and sensory related regions (Sub-aim 1b). Specific Aim 2). Determine whether the approach developed in SA1 may have potential clinical application towards the diagnosis and treatment of SAD and PD. We will perform this by testing whether the above functional networks are informative brain signatures that can be used to discriminate between healthy controls, SAD and PD subjects (Sub-aim 2a). We will also test whether the approach can be used to determine the particular sub-networks that are aberrant in SAD and PD PUBLIC HEALTH RELEVANCE: The proposed approach may contribute toward the development of effective biomarkers in the diagnosis of SAD and PD. It may also identify the functional connections whose patterns differ between control and SAD, control and PD, and SAD and PD. This would contribute to our understanding of and aid in the development of therapies for these distinct anxiety disorders.