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Local dimension-reduced dynamical spatio-temporal models for resting state network estimation
To overcome the limitations of independent component analysis (ICA), today’s most popular analysis tool for investigating whole-brain spatial activation in resting state functional magnetic resonance imaging (fMRI), we present a new class of local dimension-reduced dynamical spatio-temporal model wh...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883146/ https://www.ncbi.nlm.nih.gov/pubmed/27747482 http://dx.doi.org/10.1007/s40708-015-0011-5 |