This title appears in the Scientific Report :
2023
Exploring the diversity of cortical wave activity with a unifying workflow approach
Exploring the diversity of cortical wave activity with a unifying workflow approach
Although brain waves have been studied for a long time, the complex spatial dynamics of such waves became observable only with high-resolution measurement technology. Recent studies of cortical wave activity present various propagation patterns, cortical localization, frequency regimes, and potentia...
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Personal Name(s): | Gutzen, Robin |
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Contributing Institute: |
Computational and Systems Neuroscience; INM-6 Jara-Institut Brain structure-function relationships; INM-10 Computational and Systems Neuroscience; IAS-6 |
Imprint: |
2023
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Conference: | Concluding Event of the Human Brain Project, Jülich (Germany), 2023-09-12 - 2023-09-13 |
Document Type: |
Conference Presentation |
Research Program: |
JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) Human Brain Project Specific Grant Agreement 3 Human Brain Project Specific Grant Agreement 2 Neuroscientific Foundations Digitization of Neuroscience and User-Community Building Helmholtz Analytics Framework |
Publikationsportal JuSER |
Although brain waves have been studied for a long time, the complex spatial dynamics of such waves became observable only with high-resolution measurement technology. Recent studies of cortical wave activity present various propagation patterns, cortical localization, frequency regimes, and potentially functional roles [e.g. Denker et al. 2018, Davis et al. 2020].Such heterogeneity warrants analysis approaches that enable the combination and comparison of data and results from different sources, facilitating a cumulative understanding of cortical wave activity. We developed an adaptable and reusable workflow approach to combine various data modalities and analysis methods, by combining existing software tools and standards from the EBRAINS environment.We showcase how this approach enables large meta-studies, comparing slow wave activity in anesthetized mice across heterogenous data sources [Gutzen et al. 2022] and the calibration and validation of corresponding network models [Capone et al. 2023]. Further, we demonstrate its extension to new applications, data modalities, and wave types. Specifically, we analyze LFP phase waves in the visual cortex of the macaque monkey in the context of visual perception and the coordination of corresponding saccadic eye movements.In doing so, we illustrate how the adaptable reusability of research software accelerates research, enhances automation, supports collaboration, promotes reproducibility, and enables cross-domain comparisons. |