Neural Disconnection and Errant Visual Perception in Psychotic Psychopathology

精神病性精神病理学中的神经断开和错误的视觉感知

• 批准号: 9753349
• 负责人: Scott R Sponheim
• 金额: $ 120.09万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-05 至 2022-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9753349
• 关键词: Address; Biological; Blood specimen; Brain; Brain imaging; Clinical; Complex; Computer Simulation; Data; Data Collection; Data Set; Development; Dimensions; Equilibrium; Exhibits; Failure; Functional Magnetic Resonance Imaging; Genes; Genetic; Goals; Hallucinations; Hour; Human; Illusions; Image; Impairment; Individual; Intervention; Knowledge; Lateral; Lead; Link; Longevity; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Measures; Modality; Modeling; Motion; Nature; Neural Inhibition; Neurons; Occipital lobe; Participant; Patients; Perception; Perceptual Disorders; Perceptual distortions; Physiology; Prevention; Protocols documentation; Psychopathology; Psychophysics; Psychotic Disorders; Publishing; Reality Testing; Research Domain Criteria; Research Personnel; Rest; Role; Schizophrenia; Sensory; Specificity; Standardization; Stimulus; Structure; Testing; Universities; Variant; Vision; Visual; Visual Cortex; Visual Hallucination; Visual Perception; Washington; Work; area striata; base; brain dysfunction; cognitive function; cognitive process; connectome; data warehouse; deviant; disability; experience; extrastriate visual cortex; frontal lobe; human imaging; information processing; magnetic field; multimodal data; neural circuit; neural model; neural network; neuroimaging; neuromechanism; neurophysiology; prisma; public health relevance; reduce symptoms; relating to nervous system; response; role model; self reported behavior; severe mental illness; symptomatology

 DESCRIPTION (provided by applicant): Errant perception is a defining feature of severe psychopathology and contributes to distortions of reality experienced by individuals with psychosis. Growing evidence indicates that individuals with psychotic disorders have compromised neural connectivity which is associated with hallucinatory experiences - a prominent form of reality distortion. Although the precise neural circuitry that gives rise to perceptual errors and hallucinations is unknown, anomalous interactions of low-level sensory and high-level cognitive processes appear to contribute to these distortions of reality. This project will use psychophysical tasks and magnetic resonance imaging (MRI) data to quantitatively model the role of low-level and high-level influences on visual perceptual abnormalities in psychosis. The model will be constrained through incorporating new knowledge of structural and functional neural connections relevant to visual perception. The goal of the proposed work is to develop and test quantitative models of local and long-range neural mechanisms that account for visual misperception in psychosis through the use of Human Connectome Project (HCP) acquisition protocols and psychophysical tasks. The project involves two specific aims. The first aim is to expand the HCP data repository by contributing MRI data from 150 people with psychotic psychopathology, 100 first-degree biological relatives of psychotic participants, and 50 healthy non-psychiatric controls. Imaging data will be collected using the 2-hour HCP Washington University (WU) Lifespan protocol on a Siemens Prisma scanner. These data will enable direct comparison between healthy controls, individuals with psychosis, and individuals with genetic liability for psychosis with existing HCP Lifespan data. Access to existing HCP Lifespan data will make possible characterization of normal variability in visual cortical connectivity and facilitate standardized assessment of neural networks. The second goal is to acquire functional MRI data during visual tasks using a 7 Tesla magnet and the same sequences and scanner used for the UMinn 7T Lifespan protocol in order to quantitatively model the role of local and long-range functional connectivity in visual misperception, as well as relate model parameters to dimensional variation in perceptual anomalies associated with psychosis. Combined use of 7T HCP data and a testable neurophysiological quantitative model of visual anomalies will yield unprecedented specificity in delineating mechanistic circuitry giving rise to psychotic symptomatology. Inclusion of the broader HCP Lifespan data set and a tested generalized quantitative model will provide a means for direct examination by other investigators as well as facilitate standardized and individualized assessment of functional connectivity anomalies pertinent to the development and expression of psychosis.

 描述（由申请人提供）：错误感知是严重精神病理学的一个定义特征，并导致精神病患者对现实的扭曲。越来越多的证据表明，精神病患者的神经连接受损，这与幻觉体验有关-这是现实扭曲的一种突出形式。虽然引起知觉错误和幻觉的精确神经回路尚不清楚，但低级感觉和高级认知过程的异常相互作用似乎有助于这些对现实的扭曲。该项目将使用心理物理任务和磁共振成像（MRI）数据来定量模拟低水平和高水平影响对精神病视觉感知异常的作用。该模型将通过纳入与视觉感知相关的结构和功能神经连接的新知识来约束。拟议工作的目标是开发和测试本地和远程神经机制的定量模型，通过使用人类连接组项目（HCP）采集协议和心理物理任务，解释精神病中的视觉错觉。 该项目涉及两个具体目标。第一个目标是通过贡献来自150名精神病患者、100名精神病患者的一级生物学亲属和50名健康非精神病对照的MRI数据来扩展HCP数据库。将在Siemens Prisma扫描仪上使用2小时HCP华盛顿大学（WU）Lifespan方案收集成像数据。这些数据将能够直接比较健康对照、精神病个体和具有精神病遗传易感性的个体与现有HCP寿命数据。访问现有的HCP寿命数据将可能表征视觉皮层连接的正常变异性，并促进神经网络的标准化评估。第二个目标是在视觉任务期间使用7特斯拉磁体和用于UMinn 7 T Lifespan协议的相同序列和扫描仪获取功能性MRI数据，以定量建模局部和远程功能连接在视觉错觉中的作用，以及将模型参数与精神病相关的感知异常的尺寸变化相关。 结合使用7 T HCP数据和视觉异常的可测试的神经生理学定量模型，将产生前所未有的特异性，在描绘机械电路引起精神病性痴呆。纳入更广泛的HCP寿命数据集和经过测试的广义定量模型将为其他研究者提供直接检查的方法，并有助于对与精神病发展和表达相关的功能连接异常进行标准化和个性化评估。