Lake Evelyn M R, Higley Michael J
Yale School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, Connecticut, United States.
Yale School of Medicine, Departments of Neuroscience and Psychiatry, New Haven, Connecticut, United States.
Neurophotonics. 2022 Jul;9(3):032202. doi: 10.1117/1.NPh.9.3.032202. Epub 2022 Sep 23.
Brain organization is evident across spatiotemporal scales as well as from structural and functional data. Yet, translating from micro- to macroscale (vice versa) as well as between different measures is difficult. Reconciling disparate observations from different modes is challenging because each specializes within a restricted spatiotemporal milieu, usually has bounded organ coverage, and has access to different contrasts. True intersubject biological heterogeneity, variation in experiment implementation (e.g., use of anesthesia), and true moment-to-moment variations in brain activity (maybe attributable to different brain states) also contribute to variability between studies. Ultimately, for a deeper and more actionable understanding of brain organization, an ability to translate across scales, measures, and species is needed. Simultaneous multimodal methods can contribute to bettering this understanding. We consider four modes, three optically based: multiphoton imaging, single-photon (wide-field) imaging, and fiber photometry, as well as magnetic resonance imaging. We discuss each mode as well as their pairwise combinations with regard to the definition and study of brain networks.
大脑组织在时空尺度以及结构和功能数据方面都很明显。然而,从微观尺度到宏观尺度(反之亦然)以及在不同测量方法之间进行转换是困难的。协调来自不同模式的不同观察结果具有挑战性,因为每种模式都专门针对有限的时空环境,通常具有有限的器官覆盖范围,并且能够获取不同的对比信息。真正的个体间生物学异质性、实验实施中的变化(例如麻醉的使用)以及大脑活动中真正的瞬间变化(可能归因于不同的脑状态)也导致了研究之间的变异性。最终,为了更深入、更可行地理解大脑组织,需要具备跨尺度、测量方法和物种进行转换的能力。同步多模态方法有助于改善这种理解。我们考虑四种模式,其中三种基于光学:多光子成像、单光子(宽场)成像和光纤光度测量,以及磁共振成像。我们将讨论每种模式以及它们在大脑网络的定义和研究方面的两两组合。