CRCNS: Spatiotemporal imaging study of the mechanisms of binocular rivalry

CRCNS：双眼竞争机制的时空成像研究

• 批准号: 8529545
• 负责人: BIN HE
• 金额: $ 35.7万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8529545
• 关键词: Address; Affect; Amblyopia; Area; Attention; Awareness; Binocular rivalry; Biological Models; Biomedical Engineering; Brain; Brain Mapping; Brain imaging; Brain region; Cognition Disorders; Collaborations; Communities; Computer Simulation; Conflict (Psychology); Conscious; Data; Development; Electroencephalography; Engineering; Event; Eye; Frequencies; Functional Magnetic Resonance Imaging; Goals; Image; Influentials; Instruction; Investigation; Lead; Location; Maintenance; Measurement; Measures; Mental disorders; Methodology; Methods; Neurosciences; Neurosciences Research; Pattern; Perception; Play; Postdoctoral Fellow; Process; Public Health; Research; Research Project Grants; Resolution; Role; Science; Signal Transduction; Staging; Stimulus; Techniques; Testing; Time; Training; Vision Disorders; Visual; Woman; Work; base; cognitive neuroscience; design; frontier; graduate student; innovation; member; neuroimaging; neuromechanism; next generation; novel; relating to nervous system; spatiotemporal; success; visual information

DESCRIPTION (provided by applicant): The goal of the proposed collaborative research is to advance the understanding of the mechanisms underlying binocular rivalry, a significant unresolved issue in neuroscience, through the establishment of a novel computational spatio-temporal neuroimaging methodology with broad applications. Our two eyes normally work in tandem to give us a coherent and unique representation of the visual world. However, when two different images are presented one to each eye, perception alternates between them, a phenomenon known as binocular rivalry. Binocular rivalry has attached significant attention from the neuroscience community, because its understanding is key to understanding how visual information from the two eyes is combined and also because binocular rivalry has become the main model system for studying neural mechanisms of visual awareness and consciousness. Given the rapid development in neuroimaging techniques in recent years and the critical questions that remain to be addressed in binocular rivalry, the opportunity is ripe for a close collaboration between neuroscientist and biomedical engineers to develop innovative computational approaches and push forward the frontiers of spatiotemporal imaging to answer critical questions in binocular rivalry. Intellectual Merits: This collaborative research project wll advance both neuroscience research and computational neuroimaging by addressing the following specific aims: Aim 1. Simultaneous fMRI and EEG measurement and computational multimodal neuroimaging of binocular rivalry. We will establish a novel multimodal computational spatio-temporal neuroimaging approach that measures and integrates simultaneous fMRI and EEG signals of brain activity during binocular rivalry. This Aim will answer key questions related to binocular rivalry, and significantly advance the state of the art o binocular rivalry research and the spatio-temporal computational neuroimaging methodology for brain mapping, allowing high resolution spatio-temporal imaging of the pattern of brain activity that underlies the resolution of binocular rivalry. Aim 2. Application of method to study components of binocular rivalry and mechanisms of stimulus rivalry. We will used combined fMRI and EEG to be developed in Aim 1 to investigate the component mechanisms of binocular rivalry, and to test predictions based on influential computational models of binocular rivalry. We will identify the neural correlates of two dynamic stages of rivalry initiation and rivalry maintenance. We will investigate the neural mechanisms responsible for stimulus rivalry. Of innovation are the key hypotheses to be tested in the proposed experimental investigation, and the multi-modal computational neuroimaging approach. The highly promising preliminary results demonstrate the feasibility of the proposed approach and indicate the high likelihood of success of the carefully designed and developments. Broader Impacts: The proposed project will have broad impacts to 1) advance basic neuroscience research, 2) promote public health, and 3) educate and train the next generation of scientific leaders including women and members of under-represented groups. Understanding the mechanisms of binocular rivalry has important implications for understanding the neural basis of consciousness, as well as how our brain resolves conflicting input information. The successful completion of the proposed research will lead to a comprehensive understanding of the mechanisms of binocular rivalry and advancement of a novel multimodal computational neuroimaging approach, which promises to image brain activity with high resolution in both space and time. As such the proposed project will have a significant impact for study of a broad range of topics in cognitive neuroscience, from perception through cognition and mental disorders, and imaging science for solving inverse problem with broad applications in science and engineering. Understanding binocular interactions will also lead to a better understanding of mechanisms of visual disorders, such as amblyopia, one of the most common visual disorders, resulting from cortical weakening of one eye's inputs. Understanding the mechanisms of suppression in rivalry and of integration when rivalry does not occur may significantly advance the management of various visual disorders such as amblyopia. Furthermore, through the proposed training of graduate students and postdocs including women and members of under-represented groups, the project will have broad impacts of training of the next generation of scientific leaders.

描述（由申请人提供）：拟议合作研究的目标是通过建立一种具有广泛应用的新型计算时空神经成像方法，促进对双眼竞争背后机制的理解，这是神经科学中一个未解决的重大问题。我们的两只眼睛通常协同工作，为我们提供连贯且独特的视觉世界呈现。然而，当向每只眼睛呈现两个不同的图像时，它们之间的感知会交替，这种现象称为双眼竞争。双眼竞争引起了神经科学界的高度关注，因为它的理解是理解来自两只眼睛的视觉信息如何组合的关键，也因为双眼竞争已成为研究视觉意识和意识的神经机制的主要模型系统。鉴于近年来神经成像技术的快速发展以及双眼竞争中仍有待解决的关键问题，神经科学家和生物医学工程师之间密切合​​作的机会已经成熟，以开发创新的计算方法并推动时空成像的前沿，以回答双眼竞争中的关键问题。智力优点：该合作研究项目将通过解决以下具体目标来推进神经科学研究和计算神经影像学： 目标 1. 同时进行功能磁共振成像和脑电图测量以及双眼竞争的计算多模态神经影像学。我们将建立一种新颖的多模态计算时空神经成像方法，该方法可测量和整合双眼竞争期间大脑活动的同步功能磁共振成像和脑电图信号。该目标将回答与双眼竞争相关的关键问题，并显着推进双眼竞争研究的最新技术和用于大脑绘图的时空计算神经成像方法，从而能够对构成双眼竞争分辨率的大脑活动模式进行高分辨率时空成像。目标2.应用方法研究双眼竞争的组成部分和刺激竞争的机制。我们将使用目标 1 中开发的功能磁共振成像和脑电图组合来研究双眼竞争的组成机制，并测试基于有影响力的双眼竞争计算模型的预测。我们 将识别竞争发起和竞争维持两个动态阶段的神经相关性。我们将研究负责刺激竞争的神经机制。创新在于所提出的实验研究和多模态计算神经成像方法中要测试的关键假设。非常有希望的初步结果证明了所提出方法的可行性，并表明精心设计和开发成功的可能性很高。更广泛的影响：拟议的项目将产生广泛的影响：1) 推进基础神经科学研究，2) 促进公共卫生，3) 教育和培训下一代科学领袖，包括女性和代表性不足群体的成员。了解双眼竞争的机制对于理解意识的神经基础以及我们的大脑如何解决冲突的输入信息具有重要意义。该研究的成功完成将导致对双眼竞争机制的全面理解，并推进一种新颖的多模态计算神经成像方法，该方法有望在空间和时间上以高分辨率对大脑活动进行成像。因此，拟议的项目将对认知神经科学的广泛主题的研究产生重大影响，从 通过认知和精神障碍进行感知，以及用于解决逆问题的成像科学，在科学和工程中具有广泛的应用。了解双眼相互作用还将有助于更好地理解视觉障碍的机制，例如弱视，这是最常见的视觉障碍之一，由一只眼睛输入的皮质减弱引起。了解竞争中的抑制机制和不发生竞争时的整合机制可能会显着促进弱视等各种视觉障碍的治疗。此外，通过拟议对包括女性和代表性不足群体成员在内的研究生和博士后进行培训，该项目将对下一代科学领袖的培训产生广泛影响。