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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...
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| Publicado no: | Brain Inform |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4883146/ https://ncbi.nlm.nih.gov/pubmed/27747482 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40708-015-0011-5 |
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