Mapping and Modulating the Spatiotemporal dynamics of socio-affective processing.

映射和调节社会情感处理的时空动态。

• 批准号: 10452629
• 负责人: Kelly Rowe Bijanki
• 金额: $ 63.92万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10452629
• 关键词: Affect; Affective; Amygdaloid structure; Anterior; Anxiety Disorders; Architecture; Behavioral; Categories; Communication; Corpus striatum structure; Data; Deep Brain Stimulation; Depressed mood; Depressive disorder; Diagnostic; Electrodes; Electroencephalography; Electrophysiology (science); Emotional; Epilepsy; Etiology; Evaluation; Evoked Potentials; Face; Face Processing; Facial Expression; Failure; Feeling; Feeling hopeless; Functional disorder; Goals; Human; Maps; Mediating; Medicine; Mental Depression; Methodology; Monitor; Mood Disorders; Moods; Motor Activity; Negative Valence; Noise; Operative Surgical Procedures; Parents; Patient Self-Report; Patients; Pattern; Physiologic pulse; Process; Production; Property; Reporting; Research Domain Criteria; Resistance; Rest; Role; Signal Transduction; Social Environment; Social isolation; Structure of superior temporal sulcus; Symptoms; System; Therapeutic; area striata; autism spectrum disorder; behavior measurement; brain behavior; burden of illness; cingulate cortex; cognitive task; cohort; college; depressive symptoms; diffusion weighted; emotional stimulus; first-in-human; fusiform face area; improved; indexing; innovation; network dysfunction; neuroimaging; neuropsychiatric disorder; neuropsychiatry; neuroregulation; novel; novel therapeutics; positive mood; relating to nervous system; response; social; social cognition; spatiotemporal; temporal measurement; treatment-resistant depression; white matter

ABSTRACT Interpreting human facial expressions is a core human social capacity negatively impacted in diverse neuropsychiatric conditions. Failures of human social cognition contribute to disease burden in mood disorders, as well as autism spectrum and anxiety disorders, reinforcing and exacerbating the social isolation and hopelessness of patients across diagnostic categories. The proposed study examines the RDoC subconstruct of “Facial Communication” and the domain of “Negative Valence Systems” using behavioral cognitive tasks that place heavy demands on the capacity to interpret emotional facial expressions. Prior efforts to develop neuromodulation paradigms for treatment-resistant cases of neuropsychiatric diseases characterized by socio-affective dysfunction have fallen short, in part due to an absence of defined neural dysfunctional-state signals. The overall goal of this R01 proposal is to map the spatiotemporal dynamics of social affective processing and to examine selective modulation of these dynamics in humans undergoing invasive intracranial monitoring for treatment-resistant epilepsy and depression. Pursuing this signal from a novel platform with invasive intracranial recording electrodes provides much-needed spatial and temporal resolution to characterize the neural dynamics of socio-affective processing. We will leverage first-in-human intracranial neural recording opportunities created by a novel therapeutic platform termed “stereotactic electroencephalography-informed deep brain stimulation” (stereo-EEG-informed DBS; Parent Study UH3-NS103549), as well as the powerful platform of intracranial stereotactic recording and stimulation in patients undergoing epilepsy surgical evaluation at Baylor College of Medicine. The sEEG-informed DBS trial provides unique opportunities for intracranial recording of affect-relevant network regions in patients with treatment-resistant depression (TRD). Recordings in identical regions in epilepsy patients who themselves often demonstrate mild-moderate depressive symptoms will provide a wide dynamic range across the symptom spectrum. To provide critical data on the spatiotemporal dynamics of socio-affective processing we will leverage these two human intracranial recording and stimulation cohorts to study the precise structural (Aim 1), functional (Aim 2), and causal (Aim 3) properties of the affective salience network. Greater understanding of the social processing circuitry mediated by the affective salience network may be used to drive therapeutic innovation, pioneering a new paradigm that improves socio-emotional function across a wide variety of neuropsychiatric conditions. The results from this proposal have the potential to improve the lives of patients with dysfunction in social affective processing, with implications for a wide range of neuropsychiatric diseases.

抽象的 解释人的面部表情是对潜水员的核心人类社会能力负面影响 神经精神疾病。人类社会认知的失败导致情绪燃烧 疾病以及自闭症谱系和动画障碍，加强和加剧了社会隔离 跨诊断类别的患者的绝望。拟议的研究检查了RDOC 使用行为的“面部通信”和“负价系统”领域的子构建 认知任务对解释情绪面部表情的能力提出了沉重的要求。事先的 为开发神经调节范式的努力，以治疗神经精神疾病的治疗病例 以社会影响功能障碍为特征，部分原因是没有定义的神经元 功能失调的状态信号。该R01提案的总体目标是映射 社会情感处理并检查对人类中这些动态的选择性调节 侵入性颅内监测，以抗治疗癫痫和抑郁。从一个 具有侵入性颅内记录电极的新型平台可提供急需的空间和 临时解决方案以表征社会影响处理的神经动力学。我们将利用 由称为新型热平台创建的首个人类颅内神经记录机会 “立体定向脑电图信息深度脑刺激”（立体EEG信息DBS；父 研究UH3-NS103549），以及强大的颅内立体定向记录和刺激平台 贝勒医学院接受癫痫手术评估的患者。 SEEG信息DBS试验 为患有情感相关的网络区域的颅内记录提供了独特的机会 耐治疗抑郁症（TRD）。癫痫患者的同一地区的录音 通常表现出轻度中度抑郁症状将提供广泛的动态范围 症状谱。为了提供有关社会影响处理的时空动力学的关键数据 将利用这两个人类颅内记录和刺激队列来研究精度结构 （AIM 1），功能（AIM 2）和因果关系（AIM 3）受影响的显着性网络的特性。更大 了解受影响的显着网络介导的社会处理电路可能用于 驱动理论创新，开创了一种新的范式，该范式改善了广泛的社会情感功能 各种神经精神病疾病。该提议的结果有可能改善 社会情感处理中功能障碍的患者，对广泛的神经精神病学有影响 疾病。