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Bold-Independent Computational Entropy Assesses Functional Donut-Like Structures in Brain fMRI Images
We introduce a novel method for the measurement of information level in fMRI (functional Magnetic Resonance Imaging) neural data sets, based on image subdivision in small polygons equipped with different entropic content. We show how this method, called maximal nucleus clustering (MNC), is a novel,...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5285359/ https://www.ncbi.nlm.nih.gov/pubmed/28203153 http://dx.doi.org/10.3389/fnhum.2017.00038 |