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Claudinei E Biazoli

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Resting-state global EEG connectivity predicts depression and anxiety severityLucas R Trambaiolli, Claudinei E Biazoli
Psychological Methods|April 22, 2024
Causal relationships in longitudinal observational data: An integrative modeling approachClaudinei E Biazoli, João R Sato, Michael Pluess
Brain Research|May 11, 2006
The supragenual nucleus: a putative relay station for ascending vestibular signs to head direction cellsClaudinei E Biazoli, Marina Goto, Ana Maria P Campos, et al.
Scientific Reports|March 31, 2018
Predicting affective valence using cortical hemodynamic signalsLucas R Trambaiolli, Claudinei E Biazoli, André M Cravo, et al.
Plos One|January 7, 2021
Subject-independent decoding of affective states using functional near-infrared spectroscopyLucas R Trambaiolli, Juliana Tossato, André M Cravo, et al.
Neurophotonics|January 29, 2019
Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profilesLucas R Trambaiolli, Claudinei E Biazoli, André M Cravo, et al.
Journal of Affective Disorders|July 4, 2017
The relevance of feature selection methods to the classification of obsessive-compulsive disorder based on volumetric measuresLucas R Trambaiolli, Claudinei E Biazoli, Joana B Balardin, et al.
Frontiers in Human Neuroscience|September 26, 2022
Multimodal resting-state connectivity predicts affective neurofeedback performanceLucas R Trambaiolli, Raymundo Cassani, Claudinei E Biazoli, et al.
Network Neuroscience (Cambridge, Mass.)|June 30, 2021
Inferring the heritability of large-scale functional networks with a multivariate ACE modeling approachFernanda L Ribeiro, Felipe R C Dos Santos, João R Sato, et al.
Brain Connectivity|June 4, 2013
Application of partial directed coherence to the analysis of resting-state EEG-fMRI dataClaudinei E Biazoli, Marcio Sturzbecher, Thomas P White, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Resting-state global EEG connectivity predicts depression and anxiety severityLucas R Trambaiolli, Claudinei E Biazoli
Psychological Methods|April 22, 2024
Causal relationships in longitudinal observational data: An integrative modeling approachClaudinei E Biazoli, João R Sato, Michael Pluess
Brain Research|May 11, 2006
The supragenual nucleus: a putative relay station for ascending vestibular signs to head direction cellsClaudinei E Biazoli, Marina Goto, Ana Maria P Campos, et al.
Scientific Reports|March 31, 2018
Predicting affective valence using cortical hemodynamic signalsLucas R Trambaiolli, Claudinei E Biazoli, André M Cravo, et al.
Plos One|January 7, 2021
Subject-independent decoding of affective states using functional near-infrared spectroscopyLucas R Trambaiolli, Juliana Tossato, André M Cravo, et al.
Neurophotonics|January 29, 2019
Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profilesLucas R Trambaiolli, Claudinei E Biazoli, André M Cravo, et al.
Journal of Affective Disorders|July 4, 2017
The relevance of feature selection methods to the classification of obsessive-compulsive disorder based on volumetric measuresLucas R Trambaiolli, Claudinei E Biazoli, Joana B Balardin, et al.
Frontiers in Human Neuroscience|September 26, 2022
Multimodal resting-state connectivity predicts affective neurofeedback performanceLucas R Trambaiolli, Raymundo Cassani, Claudinei E Biazoli, et al.
Network Neuroscience (Cambridge, Mass.)|June 30, 2021
Inferring the heritability of large-scale functional networks with a multivariate ACE modeling approachFernanda L Ribeiro, Felipe R C Dos Santos, João R Sato, et al.
Brain Connectivity|June 4, 2013
Application of partial directed coherence to the analysis of resting-state EEG-fMRI dataClaudinei E Biazoli, Marcio Sturzbecher, Thomas P White, et al.
Pageof 2