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Depth-compensated diffuse optical tomography enhanced by general linear model analysis and an anatomical atlas of human head
One of the main challenges in functional diffuse optical tomography (DOT) is to accurately recover the depth of brain activation, which is even more essential when differentiating true brain signals from task-evoked artifacts in the scalp. Recently, we developed a depth-compensated algorithm (DCA) t...
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| Publicado no: | Neuroimage |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4524535/ https://ncbi.nlm.nih.gov/pubmed/23859922 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2013.07.016 |
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