ReP USP - Resultado da busca

Artigo de periodico
Specific Electroencephalographic Signatures for Pain and Descending Pain Inhibitory System in Spinal Cord Injury (2022)
Simis, Marcel; Pacheco-Barrios, Kevin; Uygur-kucukseymen, Elif; Castelo-branco, Luis; Battistella, Linamara Rizzo ; Fregni, Felipe
Source: Pain medicine. Unidade: FM
Subjects: TRAUMATISMOS DA MEDULA ESPINHAL, DOR, ESTIMULAÇÃO ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SIMIS, Marcel et al. Specific Electroencephalographic Signatures for Pain and Descending Pain Inhibitory System in Spinal Cord Injury. Pain medicine, v. 23, n. 5, p. 955-964, 2022Tradução . . Disponível em: https://doi.org/10.1093/pm/pnab124. Acesso em: 18 out. 2024.
APA
Simis, M., Pacheco-Barrios, K., Uygur-kucukseymen, E., Castelo-branco, L., Battistella, L. R., & Fregni, F. (2022). Specific Electroencephalographic Signatures for Pain and Descending Pain Inhibitory System in Spinal Cord Injury. Pain medicine, 23( 5), 955-964. doi:10.1093/pm/pnab124
NLM
Simis M, Pacheco-Barrios K, Uygur-kucukseymen E, Castelo-branco L, Battistella LR, Fregni F. Specific Electroencephalographic Signatures for Pain and Descending Pain Inhibitory System in Spinal Cord Injury [Internet]. Pain medicine. 2022 ; 23( 5): 955-964.[citado 2024 out. 18 ] Available from: https://doi.org/10.1093/pm/pnab124
Vancouver
Simis M, Pacheco-Barrios K, Uygur-kucukseymen E, Castelo-branco L, Battistella LR, Fregni F. Specific Electroencephalographic Signatures for Pain and Descending Pain Inhibitory System in Spinal Cord Injury [Internet]. Pain medicine. 2022 ; 23( 5): 955-964.[citado 2024 out. 18 ] Available from: https://doi.org/10.1093/pm/pnab124
Artigo de periodico
EEG theta and beta bands as brain oscillations for different knee osteoarthritis phenotypes according to disease severity (2022)
Simis, Marcel; Imamura, Marta; Pacheco-Barrios, Kevin; Marduy, Anna; Melo, Paulo S. de; Mendes, Augusto J; Teixeira, Paulo E. P; Battistella, Linamara Rizzo ; Fregni, Felipe
Source: Scientific reports. Unidade: FM
Subjects: OSTEOARTRITE DO JOELHO, ESTIMULAÇÃO CEREBRAL, FENÓTIPOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SIMIS, Marcel et al. EEG theta and beta bands as brain oscillations for different knee osteoarthritis phenotypes according to disease severity. Scientific reports, v. 12, n. 1, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-04957-x. Acesso em: 18 out. 2024.
APA
Simis, M., Imamura, M., Pacheco-Barrios, K., Marduy, A., Melo, P. S. de, Mendes, A. J., et al. (2022). EEG theta and beta bands as brain oscillations for different knee osteoarthritis phenotypes according to disease severity. Scientific reports, 12( 1). doi:10.1038/s41598-022-04957-x
NLM
Simis M, Imamura M, Pacheco-Barrios K, Marduy A, Melo PS de, Mendes AJ, Teixeira PEP, Battistella LR, Fregni F. EEG theta and beta bands as brain oscillations for different knee osteoarthritis phenotypes according to disease severity [Internet]. Scientific reports. 2022 ; 12( 1):[citado 2024 out. 18 ] Available from: https://doi.org/10.1038/s41598-022-04957-x
Vancouver
Simis M, Imamura M, Pacheco-Barrios K, Marduy A, Melo PS de, Mendes AJ, Teixeira PEP, Battistella LR, Fregni F. EEG theta and beta bands as brain oscillations for different knee osteoarthritis phenotypes according to disease severity [Internet]. Scientific reports. 2022 ; 12( 1):[citado 2024 out. 18 ] Available from: https://doi.org/10.1038/s41598-022-04957-x
Artigo de periodico
Beta-band oscillations as a biomarker of gait recovery in spinal cord injury patients: a quantitative electroencephalography analysis (2020)
Simis, Marcel; Uygur-Kucukseymen, Elif; Pacheco-Barrios, Kevin; Battistella, Linamara Rizzo ; Fregni, Felipe
Source: Clinical neurophysiology. Unidade: FM
Subjects: ELETROENCEFALOGRAFIA, PODER, TRAUMATISMOS DA MEDULA ESPINHAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SIMIS, Marcel et al. Beta-band oscillations as a biomarker of gait recovery in spinal cord injury patients: a quantitative electroencephalography analysis. Clinical neurophysiology, v. 131, n. 8, p. 1806-1814, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.clinph.2020.04.166. Acesso em: 18 out. 2024.
APA
Simis, M., Uygur-Kucukseymen, E., Pacheco-Barrios, K., Battistella, L. R., & Fregni, F. (2020). Beta-band oscillations as a biomarker of gait recovery in spinal cord injury patients: a quantitative electroencephalography analysis. Clinical neurophysiology, 131( 8), 1806-1814. doi:10.1016/j.clinph.2020.04.166
NLM
Simis M, Uygur-Kucukseymen E, Pacheco-Barrios K, Battistella LR, Fregni F. Beta-band oscillations as a biomarker of gait recovery in spinal cord injury patients: a quantitative electroencephalography analysis [Internet]. Clinical neurophysiology. 2020 ; 131( 8): 1806-1814.[citado 2024 out. 18 ] Available from: https://doi.org/10.1016/j.clinph.2020.04.166
Vancouver
Simis M, Uygur-Kucukseymen E, Pacheco-Barrios K, Battistella LR, Fregni F. Beta-band oscillations as a biomarker of gait recovery in spinal cord injury patients: a quantitative electroencephalography analysis [Internet]. Clinical neurophysiology. 2020 ; 131( 8): 1806-1814.[citado 2024 out. 18 ] Available from: https://doi.org/10.1016/j.clinph.2020.04.166

USP Schools

ReP

Filtros

Authors

Subjects