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

描述(申请人提供)：目前的建议旨在开发一种新的神经生物学标记物，基于内隐和潜意识威胁相关面部情绪感知过程中全脑功能连接的模式，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健康对照受试库中内隐和潜意识威胁相关和模棱两可的面部情绪加工的大规模功能网络。我们将首先测试在特定条件(即呈现可见或不可见的恐惧和中性面孔)期间测量的大规模部分相关性是否可以用作预测在该条件下呈现的刺激类型的特征(子目标1a)。然后，我们将测试预测恐惧和中性面孔状况的最有信息量的特征是否主要是边缘和边缘旁节点之间的联系，以及预测中性状态和休息状态状况的最有信息量的特征是主要注意力、运动和感觉相关区域之间的联系(子目标1b)。具体目标2)。确定SA1中开发的方法是否可能在SAD和PD的诊断和治疗方面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组、SAD和PD受试者的信息性大脑信号来实现这一点(子目标2a)。我们还将测试该方法是否可以用于确定SAD和PD中异常的特定子网络 公共卫生相关性：建议的方法可能有助于开发有效的生物标记物来诊断SAD和PD。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并帮助开发针对这些不同焦虑症的治疗方法。

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.