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Testing effective connectivity changes with structural equation modeling: What does a bad model tell us?
Structural equation modeling (SEM) is a statistical method that can assess changes in effective connectivity across tasks or between groups. In its initial application to neuroimaging data, anatomical connectivity provided the constraints to decompose interregional covariances to estimate effective...
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| Publicado en: | Hum Brain Mapp |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Wiley Subscription Services, Inc., A Wiley Company
2006
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6871338/ https://ncbi.nlm.nih.gov/pubmed/16929548 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20233 |
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