Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging - A Symposium Review.

IF 2.7 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Neuroinformatics Pub Date : 2024-09-23 DOI:10.1007/s12021-024-09686-2
Joshua K Marchant, Natalie G Ferris, Diana Grass, Magdelena S Allen, Vivek Gopalakrishnan, Mark Olchanyi, Devang Sehgal, Maxina Sheft, Amelia Strom, Berkin Bilgic, Brian Edlow, Elizabeth M C Hillman, Meher R Juttukonda, Laura Lewis, Shahin Nasr, Aapo Nummenmaa, Jonathan R Polimeni, Roger B H Tootell, Lawrence L Wald, Hui Wang, Anastasia Yendiki, Susie Y Huang, Bruce R Rosen, Randy L Gollub
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Abstract

Advances in the spatiotemporal resolution and field-of-view of neuroimaging tools are driving mesoscale studies for translational neuroscience. On October 10, 2023, the Center for Mesoscale Mapping (CMM) at the Massachusetts General Hospital (MGH) Athinoula A. Martinos Center for Biomedical Imaging and the Massachusetts Institute of Technology (MIT) Health Sciences Technology based Neuroimaging Training Program (NTP) hosted a symposium exploring the state-of-the-art in this rapidly growing area of research. "Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging" brought together researchers who use a broad range of imaging techniques to study brain structure and function at the convergence of the microscopic and macroscopic scales. The day-long event centered on areas in which the CMM has established expertise, including the development of emerging technologies and their application to clinical translational needs and basic neuroscience questions. The in-person symposium welcomed more than 150 attendees, including 57 faculty members, 61 postdoctoral fellows, 35 students, and four industry professionals, who represented institutions at the local, regional, and international levels. The symposium also served the training goals of both the CMM and the NTP. The event content, organization, and format were planned collaboratively by the faculty and trainees. Many CMM faculty presented or participated in a panel discussion, thus contributing to the dissemination of both the technologies they have developed under the auspices of the CMM and the findings they have obtained using those technologies. NTP trainees who benefited from the symposium included those who helped to organize the symposium and/or presented posters and gave "flash" oral presentations. In addition to gaining experience from presenting their work, they had opportunities throughout the day to engage in one-on-one discussions with visiting scientists and other faculty, potentially opening the door to future collaborations. The symposium presentations provided a deep exploration of the many technological advances enabling progress in structural and functional mesoscale brain imaging. Finally, students worked closely with the presenting faculty to develop this report summarizing the content of the symposium and putting it in the broader context of the current state of the field to share with the scientific community. We note that the references cited here include conference abstracts corresponding to the symposium poster presentations.

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中尺度脑图谱:中尺度脑图谱:神经成像中尺度与模式的桥梁--专题讨论会综述。
神经成像工具在时空分辨率和视场方面的进步正在推动神经科学转化的中尺度研究。2023 年 10 月 10 日,麻省总医院(MGH)阿西努拉-马丁诺斯生物医学成像中心(Athinoula A. Martinos Center for Biomedical Imaging)的中尺度绘图中心(CMM)与麻省理工学院(MIT)基于健康科学技术的神经成像培训计划(NTP)共同主办了一场研讨会,探讨这一快速发展的研究领域的最新进展。"中尺度脑图谱:连接神经成像的尺度和模式 "研讨会汇集了使用多种成像技术研究微观和宏观尺度交汇处大脑结构和功能的研究人员。为期一天的活动围绕着CMM已建立的专业领域展开,包括新兴技术的开发及其在临床转化需求和基础神经科学问题上的应用。150多名与会者参加了这次面对面的研讨会,其中包括57名教师、61名博士后研究员、35名学生和4名业界专业人士,他们分别代表地方、地区和国际层面的机构。此次研讨会还实现了坐标测量机和国家热带木材计划的培训目标。活动的内容、组织和形式由教师和学员共同策划。许多坐标测量机教员在会上发言或参加小组讨论,从而促进了他们在坐标测量机支持下开发的技术和利用这些技术取得的研究成果的传播。从研讨会中获益的国家培训计划学员包括那些帮助组织研讨会和/或展示海报以及做 "快闪 "口头报告的学员。除了从展示自己的工作中获得经验外,他们还有机会全天与来访的科学家和其他教师进行一对一的讨论,为今后的合作打开了潜在的大门。专题讨论会的发言深入探讨了促进大脑结构和功能中尺度成像进展的众多技术进步。最后,学生们与主讲教师密切合作,编写了这份报告,总结了研讨会的内容,并将其置于该领域现状的大背景下,与科学界分享。我们注意到,此处引用的参考文献包括与研讨会海报演讲相对应的会议摘要。
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来源期刊
Neuroinformatics
Neuroinformatics 医学-计算机:跨学科应用
CiteScore
6.00
自引率
6.70%
发文量
54
审稿时长
3 months
期刊介绍: Neuroinformatics publishes original articles and reviews with an emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research. The editors particularly invite contributions on: (1) Theory and methodology, including discussions on ontologies, modeling approaches, database design, and meta-analyses; (2) Descriptions of developed databases and software tools, and of the methods for their distribution; (3) Relevant experimental results, such as reports accompanie by the release of massive data sets; (4) Computational simulations of models integrating and organizing complex data; and (5) Neuroengineering approaches, including hardware, robotics, and information theory studies.
期刊最新文献
Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury. Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme. Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value. A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images. Bridging the Gap: How Neuroinformatics is Preparing the Next Generation of Neuroscience Researchers.
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