Cortical network underlying executive control of auditory attention in early psychosis - supplement

早期精神病听觉注意执行控制的皮层网络 - 补充

• 批准号: 10389078
• 负责人: Mark T Curtis
• 金额: $ 0.25万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-01 至 2022-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10389078
• 关键词: Area; Attention; Attentional deficit; Auditory; Auditory area; Award; Brain; Clinical; Cognitive deficits; Data; Diffusion; Disease; Electroencephalography; Event; Functional Magnetic Resonance Imaging; Human; Impairment; Individual; Infrastructure; Intervention; Learning; MRI Scans; Magnetic Resonance Imaging; Magnetoencephalography; Measures; Methods; Neurobehavioral Manifestations; Neurons; Parietal Lobe; Participant; Pathology; Patients; Population; Prefrontal Cortex; Process; Psychoses; Research Personnel; Resolution; Rest; Sensory; Source; Stimulus; Structural defect; Structure; Techniques; Thick; Time; Training; attentional modulation; career; cognitive neuroscience; cognitive performance; connectome; cost; executive function; experience; first episode psychosis; functional outcomes; gray matter; improved; improved outcome; insight; multimodality; novel; selective attention; sensory cortex; sound; spectrograph; targeted treatment

Project Summary/Abstract - no change to original. Impaired selective attention is a fundamental cognitive deficit present in the first episode of psychosis (FEP). Auditory selective attention can be measured with electroencephalography (EEG). Late sensory processing of a sound is measured by the event-related negativity present ~100ms post-stimulus (N1). When individuals pay attention to the sound, the amplitude of the N1 increases. The difference between N1 amplitudes on trials of attend vs ignore produces a negative difference (Nd), a specific measure of modulation with selective attention. Previous data from our lab suggests that FEP are impaired in modulating the N1 with selective attention (i.e. reduced Nd), and pilot data in our lab suggests that the Nd is associated with gray matter (GM) deficits in executive control areas. Neuronal recordings and human fMRI studies suggest an executive control network that involves the prefrontal cortex (PFC) and posterior parietal cortex (PPC), which modulates sensory cortices such as auditory cortex (AC). This project will investigate the network underlying the executive control of auditory attention modulation and structural abnormalities of this network in FEP. This proposal takes advantage of infrastructure in place from an ongoing study in the lab, in which healthy participants and patients with FEP perform a standard two-tone oddball task with attend and ignore conditions, while concurrent EEG and magnetoencephalography (MEG) are recorded. In Aim 1, the EEG and MEG will be merged with individual structural MRI scans to source resolve activity during the time window of the Nd (~100ms post stimulus). This project has also collected structural MR and resting fMRI to quasi-functionally parcellate cortex to estimate GM within nodes of the auditory attention network. The nodes of the network will be defined by applying the Glasser multimodal cortical parcellation to regions of PFC, PPC, and AC with the greatest activity in all participants. In Aim 2, high resolution MR data will be processed through the advanced Human Connectome Project (HCP) pipelines to significantly improve the registration of cortical areas. GM thickness will be estimated within the implicated cortical regions and compared between HC and FEP. GM thickness will be correlated with cognitive performance and symptom scores. The results from this project will give insight to the GM abnormalities in the auditory attention network underlying selective attention deficits seen in FEP. Knowing where abnormalities exist will allow therapies to target very specific brain areas. My training will focus on gaining expertise in advanced MRI processing and analytic techniques capitalizing on the HCP’s emerging state-of-the-art methods. In Aim 1, I will learn how to use EEG and MEG data to estimate source resolved activity. In Aim 2, I will gain expertise in the advanced processing methods used in the HCP pipeline to analyze structural data. I will also learn Diffusion Spectrum Imaging (DSI) as part of my MRI training, and I will gain expertise in working with a population with psychosis and understanding the structural abnormalities of early psychosis. This experience will help me accomplish my career objective of becoming a primary investigator in the field of clinical cognitive neuroscience.

项目摘要/摘要-与原件无变更。 选择性注意力受损是精神病首次发作（FEP）时出现的一种基本认知缺陷。 听觉选择性注意可以用脑电图（EEG）来测量。晚期感觉加工 通过刺激后约100 ms（N1）出现的事件相关负性来测量声音。当个人支付 注意声音，N1的振幅增加。N1振幅之间的差异试验 注意与忽略产生负差异（Nd），这是选择性注意调制的一个具体测量。 我们实验室以前的数据表明，FEP在调节选择性注意的N1时受损（即， 减少Nd），我们实验室的试验数据表明，Nd与脑灰质（GM）缺陷有关， 执行控制区。神经元记录和人类功能磁共振成像研究表明，执行控制网络， 涉及前额叶皮层（PFC）和后顶叶皮层（PPC），后者调节感觉皮层， 听觉皮层（AC）。本研究将探讨听觉执行控制的神经网络 注意调制和结构异常的这个网络在FEP。该提案利用了 基础设施到位，从一个正在进行的研究在实验室中，健康的参与者和患者与FEP 执行一个标准的双音古怪的任务与注意和忽略的条件，而并发脑电图和 脑磁图（MEG）。在目标1中，EEG和MEG将与个人合并， 结构MRI扫描，以在Nd的时间窗（刺激后约100 ms）内解析活动源。这 该项目还收集了结构MR和静息功能MRI，以准功能包裹皮层来估计GM 在听觉注意力网络的节点中。网络的节点将通过应用Glasser 多模态皮质包裹到PFC，PPC和AC区域，在所有参与者中具有最大的活动。在 目标2，高分辨率MR数据将通过先进的人类连接组计划（HCP）进行处理 管道，以显着提高注册的皮质区。GM厚度将在 涉及的皮质区域，并在HC和FEP之间进行比较。GM厚度将与认知功能相关。 表现和症状评分。该项目的结果将使人们了解转基因作物的异常情况， 听觉注意网络潜在的选择性注意缺陷中看到的FEP。知道哪里有异常 可以让治疗针对特定的大脑区域。我的训练将侧重于获得先进的专业知识， MRI处理和分析技术利用HCP新兴的最先进方法。在目标1中， 我将学习如何使用EEG和MEG数据来估计源解析活动。在目标2中，我将获得以下方面的专业知识 HCP管道中用于分析结构数据的先进处理方法。我也会学习扩散 频谱成像（DSI）作为我的MRI培训的一部分，我将获得与患有以下疾病的人群合作的专业知识： 精神病和了解早期精神病的结构异常。这次经历会帮助我 实现我的职业目标，成为临床认知神经科学领域的主要研究者。