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Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques
Background: fMRI data is inherently high-dimensional and difficult to visualize. A recent trend has been to find spaces of lower dimensionality where functional brain networks can be projected onto manifolds as individual data points, leading to new ways to analyze and interpret the data. Here, we i...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739961/ https://www.ncbi.nlm.nih.gov/pubmed/35002665 http://dx.doi.org/10.3389/fninf.2021.740143 |