Neurovisions: Teaching neuroscience with neuroimaging data

Neurovisions：利用神经影像数据教授神经科学

• 批准号: 7405130
• 负责人: STEVEN Douglas MOORE
• 金额: $ 37.07万
• 依托单位: SCIENCE-APPROACH
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-07-01 至 2009-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7405130
• 关键词: Biology; Businesses; Calibration; Collaborations; Computer software; Conceptions; Data; Data Analyses; Decision Modeling; Development; Diagnosis; Educational Curriculum; Educational Materials; Educational process of instructing; Elements; Endowment; Evaluation; Evaluation Research; Faculty; Feedback; Goals; Hand; Image; Image Analysis; Java; Knowledge; Laboratories; Learning; Living Standards; Marketing; Measurement; Modeling; Modification; Multimedia; Neurosciences; Phase; Play; Process; Program Evaluation; Psychology; Public Health; Publications; Research; Research Design; Research Personnel; Role; Science; Scientist; Series; Simulate; Specific qualifier value; Structure; Students; Support of Research; Surveys; Technology; Testing; Texas; Today; United States; United States National Institutes of Health; Urination; Work; base; college; concept; experience; image processing; improved; innovation; instructor; interest; literate; neuroimaging; novel; open source; programs; science education; simulation; tool

DESCRIPTION (provided by applicant): The goal of this Phase II Small Business Innovative Research (SBIR) application is to fill a major void in the undergraduate neuroscience curriculum: A lack of educational materials that give students the opportunity to learn neuroscience by working hands-on with neuroimaging data. The NeuroVisions: Teaching neuroscience with neuroimaging data project will create six Blackboard course cartridges to supplement curricula used in undergraduate neuroscience, psychology, and biology courses and serve as replacement units for course laboratories. The modules will involve students in discovery-based explorations of neuroscience topics with real data provided by leading neuroimaging scientists. Two innovations introduced in the modules are: (1) a decision-modeling tutorial that guides students through the process of posing a research hypothesis and choosing an appropriate research design; and (2) an image analysis tool built into structure of the module that is used to gather data for statistically testing the hypothesis posed earlier. The project's emphasis on image manipulation and image analysis will afford a novel and accessible learning experience for today's visually oriented undergraduate students. The NeuroVisions project will build the instructional materials around an image analysis tool adapted for educational use from professional software employed by biomedical researchers worldwide: WebImage. WebImage is a Java-based image processing and analysis program adapted from the open-source ImageJ software by Science Approach. WebImage will be integrated into the course cartridges to be produced by the project. By reducing the rich, but complicated, set of selection, measurement, calibration, and data rendering tools available in ImageJ to only those functions needed to accomplish specific research tasks, NeuroVisions will greatly simplify the process of analyzing data and thus give novice users the opportunity to experience neuroimaging research first hand. The NeuroVisions materials will be based on the 5E model developed by BSCS and recently evaluated by BSCS for the Office of Science Education at the National Institutes of Health. The 5E model specifies a lesson structure with the following elements: engage; explore; explain; elaborate; and evaluate. The materials will be developed by Science Approach, LLC, in collaboration with four advising faculty, six neuroscience researchers, and the West Texas Office of Evaluation and Research (WTER). The following milestones will be accomplished: (1) Work with the collaborating neuroscientists to identify research scenarios and data to be used in the NeuroVisions modules; (2) Make needed improvements and modifications to WebImage; (3) Create additional data analysis, simulation, and multimedia objects needed for the modules; (4) Develop six NeuroVisions modules for field testing; (5) Submit pilot modules for independent review; (6) Field test the modules in development; and (7) Use formative feedback from all project phases and the results from the evaluation program to revise the NeuroVisions modules and prepare the series for publication. Project Narrative/Relevance to Public Health: The proposed NeuroVisions project will provide opportunities for college faculty and undergraduate students to explore neuroimaging data in a manner that is currently not available in most college classrooms. Not only will the proposed instructional materials highlight the key role that NIH-supported research plays in improving biomedical diagnoses, treatments, and research, NeuroVisions will promote development of a scientifically literate public that can carry forward the endowment of science and technology that has made the United States a leader in the field of biomedicine and provided its citizens with the high standard of living the nation enjoys.

描述（由申请人提供）：这个第二阶段小企业创新研究（SBIR）申请的目标是填补本科神经科学课程的主要空白：缺乏教育材料，使学生有机会通过实践神经成像数据来学习神经科学。NeuroVisions：用神经成像数据教授神经科学项目将创建六个Blackboard课程盒，以补充本科神经科学、心理学和生物学课程中使用的课程，并作为课程实验室的替代单元。这些模块将让学生在神经科学主题的发现基础上进行探索，并使用领先的神经成像科学家提供的真实数据。在模块中引入的两个创新是：(1)决策建模教程，指导学生通过提出研究假设和选择适当的研究设计的过程；(2)模块结构中内置的图像分析工具，用于收集数据以统计检验前面提出的假设。该项目强调图像处理和图像分析，将为当今以视觉为导向的本科生提供一种新颖而容易获得的学习体验。NeuroVisions项目将围绕一个图像分析工具构建教学材料，该工具适用于全球生物医学研究人员使用的专业软件：WebImage。WebImage是Science Approach在开源ImageJ软件基础上开发的基于java的图像处理和分析程序。WebImage将被整合到项目将要制作的课程墨盒中。通过将ImageJ中丰富但复杂的选择、测量、校准和数据渲染工具集简化为完成特定研究任务所需的功能，NeuroVisions将大大简化分析数据的过程，从而使新手用户有机会体验第一手的神经影像学研究。NeuroVisions的材料将以BSCS开发的5E模型为基础，该模型最近由BSCS为国立卫生研究院科学教育办公室进行了评估。5E模型指定了具有以下元素的课程结构：参与；探索;解释;精心制作的;并评估。这些材料将由科学方法有限责任公司与四名顾问教师、六名神经科学研究人员和西德克萨斯评估与研究办公室（WTER）合作开发。将完成以下里程碑：(1)与合作的神经科学家合作，确定用于NeuroVisions模块的研究场景和数据；(2)对WebImage进行必要的改进和修改；(3)创建模块所需的额外数据分析、仿真和多媒体对象；(4)开发6个NeuroVisions模块进行现场测试；(5)提交试点模块供独立评审；(6)对开发中的模块进行现场测试；(7)使用来自所有项目阶段的形成性反馈和评估程序的结果来修改NeuroVisions模块并准备出版该系列。