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Multivariate Pattern Classification of Primary Insomnia Using Three Types of Functional Connectivity Features
Objective: To explore whether or not functional connectivity (FC) could be used as a potential biomarker for classification of primary insomnia (PI) at the individual level by using multivariate pattern analysis (MVPA). Methods: Thirty-eight drug-naive patients with PI, and 44 healthy controls (HC)...
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| Pubblicato in: | Front Neurol |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6783513/ https://ncbi.nlm.nih.gov/pubmed/31632335 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fneur.2019.01037 |
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