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Effective artifact removal in resting state fMRI data improves detection of DMN functional connectivity alteration in Alzheimer's disease
Artifact removal from resting state fMRI data is an essential step for a better identification of the resting state networks and the evaluation of their functional connectivity (FC), especially in pathological conditions. There is growing interest in the development of cleaning procedures, especiall...
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| Pubblicato in: | Front Hum Neurosci |
|---|---|
| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4531245/ https://ncbi.nlm.nih.gov/pubmed/26321937 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2015.00449 |
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