CREST Center for Dynamic Multiscale and Multimodal Brain Mapping Over The Lifespan [D-MAP]

科学技术卓越研究中心（CREST）计划通过建立有效整合教育和研究的中心，支持提高少数民族服务机构的研究能力。CREST促进了新知识的发展，提高了个别教师的研究生产力，扩大了在科学、技术、工程和数学学科中历史上代表性不足的学生的存在。在美国国家科学基金会的支持下，佐治亚州立大学建立了动态多尺度和多模态大脑生命周期测绘中心（D-MAP），以研究整个生命周期中大脑发育之间的联系。该中心旨在通过三个协同研究来了解大脑结构和多尺度的连接。建议的工作将促进本科发展，为STEM教育和职业生涯做准备；为研究生创造在多学科环境中工作的机会；并开发可与现有研究生和本科课程相结合的教育和培训模块。早期大脑发育、成年期和整个生命周期的衰老之间的联系的研究是一个重要但尚未得到充分研究的领域。子项目1（单峰脑动力学）开发方法，以促进对时变大脑连接和全脑连接模式随时间演变的理解。需要新的方法来明确地将空间信息纳入动态，估计潜在的非线性关系，并跨尺度整合动态信息。这些方法将用于研究阅读习得的短期和长期动态。子项目2（多模态数据融合）开发了新的方法，在多模态测量的关联变化及其生命周期轨迹的多变量方法建模领域处于领先地位。关键贡献包括网络子空间的整合，识别维度不匹配数据之间链接的灵活方法，以及利用深度学习捕获更复杂关系的多模态模型的开发。最初的重点将放在多模态MRI和EEG/MEG数据上。研究的重点是认知和情绪的多模态特征。子项目3（预测性神经影像学）特别侧重于利用寿命数据进行个性化预测的方法。子项目利用大型开放数据存储库，沿着多个维度开发开发和老化的预测性指纹。预期的贡献包括在个体内部和个体之间发展的新型预测多模态模型，提高可解释性的先进可视化方法，以及开发和使用神经信息学基础设施，用于各种人群可重复的大N脑成像数据分析。重点应用将是使用神经成像来预测语言处理的各个方面。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Center for dynamic multiscale and multimodal brain mapping over the lifespan The Centers of Research Excellence in Science and Technology (CREST) program supports the enhancement of research capabilities of minority-serving institutions through the establishment of centers that effectively integrate education and research. CREST promotes the development of new knowledge, enhancements of the research productivity of individual faculty, and an expanded presence of students historically underrepresented in science, technology, engineering, and mathematics disciplines. With National Science Foundation support, Georgia State University establishes the Center for dynamic multiscale and multimodal brain mapping over the lifespan [D-MAP] to study the links between brain development across the lifespan. The Center aims to understand brain structure and connectivity across multiple scales with three synergistic research studies. The proposed work will promote undergraduate development in preparation for STEM education and careers; create opportunities for graduate students to work in multidisciplinary environments; and develop education and training modules that can be integrated into existing graduate and undergraduate curricula.The study of links between early brain development, adulthood, and senescence throughout the lifespan is an important and understudied area. Subproject 1 (Unimodal Brain Dynamics) develops methods to advance understanding of time-varying brain connectivity and the evolution of whole brain connectivity patterns over time. New methods are needed that can incorporate explicitly spatial information into dynamics, estimate potential nonlinear relationships, and integrate dynamic information across scales. These methods will be applied to study the short and long-term dynamics of reading acquisition. Subproject 2 (Multimodal Data Fusion) develops novel methods to lead the field in multivariate approaches to model linked changes in multi-modal measures and their trajectories over the lifespan. Key contributions include the incorporation of network subspaces, flexible approaches to identify links between data with mismatched dimensionality, and the development of multimodal models that leverage deep learning to capture more complex relationships. Initial emphasis will be on multimodal MRI and EEG/MEG data. The focused application is to study the multimodal signatures of cognition and mood. Subproject 3 (Predictive Neuroimaging) focuses specifically on approaches to leverage lifespan data for individualized prediction. The subproject exploits large open data repositories to develop predictive fingerprints of development and aging along multiple dimensions. Anticipated contributions include novel predictive multimodal models that evolve both within and among individuals, advanced visualization approaches to enhance interpretability, and development and use of neuroinformatics infrastructure for reproducible large N brain imaging data analysis of various populations. The focused application will be to use neuroimaging to predict aspects of linguistic processing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.