A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: application to healthy aging in areas exhibiting cortical thinning (2019)
- Authors:
- USP affiliated authors: SALMON, CARLOS ERNESTO GARRIDO - FFCLRP ; VIEIRA, BRUNO HEBLING - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1016/j.jneumeth.2018.10.033
- Subjects: ENVELHECIMENTO; NEUROCIÊNCIAS
- Keywords: PDC; Multivariate; Dirichlet regression; Aging; Brain; fMRI
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Neuroscience Methods
- ISSN: 0165-0270
- Volume/Número/Paginação/Ano: v. 311, p. 243-252, 2019
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
VIEIRA, Bruno Hebling e SALMON, Carlos Ernesto Garrido. A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: application to healthy aging in areas exhibiting cortical thinning. Journal of Neuroscience Methods, v. 311, p. 243-252, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jneumeth.2018.10.033. Acesso em: 30 dez. 2025. -
APA
Vieira, B. H., & Salmon, C. E. G. (2019). A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: application to healthy aging in areas exhibiting cortical thinning. Journal of Neuroscience Methods, 311, 243-252. doi:10.1016/j.jneumeth.2018.10.033 -
NLM
Vieira BH, Salmon CEG. A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: application to healthy aging in areas exhibiting cortical thinning [Internet]. Journal of Neuroscience Methods. 2019 ; 311 243-252.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1016/j.jneumeth.2018.10.033 -
Vancouver
Vieira BH, Salmon CEG. A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: application to healthy aging in areas exhibiting cortical thinning [Internet]. Journal of Neuroscience Methods. 2019 ; 311 243-252.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1016/j.jneumeth.2018.10.033 - A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI
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Informações sobre o DOI: 10.1016/j.jneumeth.2018.10.033 (Fonte: oaDOI API)
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