Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis (2020)
- Authors:
- USP affiliated authors: SALMON, CARLOS ERNESTO GARRIDO - FFCLRP ; VIEIRA, BRUNO HEBLING - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1016/j.neuroimage.2020.116662
- Subjects: CÉREBRO; ENVELHECIMENTO; NEUROIMAGEM
- Keywords: Brain aging; fMRI; Resting-state; Functional connectivity; Cortical atrophy
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: NeuroImage
- ISSN: 1053-8119
- Volume/Número/Paginação/Ano: v. 211, art. 116662, p. 1-9, 2020
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
VIEIRA, Bruno Hebling e RONDINONI, Carlo e SALMON, Carlos Ernesto Garrido. Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis. NeuroImage, v. 211, p. 1-9, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.neuroimage.2020.116662. Acesso em: 20 maio 2024. -
APA
Vieira, B. H., Rondinoni, C., & Salmon, C. E. G. (2020). Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis. NeuroImage, 211, 1-9. doi:10.1016/j.neuroimage.2020.116662 -
NLM
Vieira BH, Rondinoni C, Salmon CEG. Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis [Internet]. NeuroImage. 2020 ; 211 1-9.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.neuroimage.2020.116662 -
Vancouver
Vieira BH, Rondinoni C, Salmon CEG. Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis [Internet]. NeuroImage. 2020 ; 211 1-9.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.neuroimage.2020.116662 - 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.neuroimage.2020.116662 (Fonte: oaDOI API)
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