Source: Magnetic Resonance Imaging. Unidade: FFCLRP
Subjects: ALGORITMOS, MAPEAMENTO CEREBRAL, RESSONÂNCIA MAGNÉTICA, SENSIBILIDADE E ESPECIFICIDADE, CÉREBRO
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ABNT
SILVA, João Paulo Santos et al. Effects of global signal regression and subtraction methods on resting-state functional connectivity using arterial spin labeling data. Magnetic Resonance Imaging, v. 51, p. 151-157, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.mri.2018.05.006. Acesso em: 08 out. 2024.APA
Silva, J. P. S., Mônaco, L. da M., Paschoal, A. M., Oliveira, I. A. F. de, & Leoni, R. F. (2018). Effects of global signal regression and subtraction methods on resting-state functional connectivity using arterial spin labeling data. Magnetic Resonance Imaging, 51, 151-157. doi:10.1016/j.mri.2018.05.006NLM
Silva JPS, Mônaco L da M, Paschoal AM, Oliveira IAF de, Leoni RF. Effects of global signal regression and subtraction methods on resting-state functional connectivity using arterial spin labeling data [Internet]. Magnetic Resonance Imaging. 2018 ; 51 151-157.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.mri.2018.05.006Vancouver
Silva JPS, Mônaco L da M, Paschoal AM, Oliveira IAF de, Leoni RF. Effects of global signal regression and subtraction methods on resting-state functional connectivity using arterial spin labeling data [Internet]. Magnetic Resonance Imaging. 2018 ; 51 151-157.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.mri.2018.05.006