Víctor Rodríguez-González

Orcid: 0000-0003-0878-0075

Affiliations:
  • University of Valladolid, Biomedical Engineering Group, Spain


According to our database1, Víctor Rodríguez-González authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Unveiling the alterations in the frequency-dependent connectivity structure of MEG signals in mild cognitive impairment and Alzheimer's disease.
Biomed. Signal Process. Control., January, 2024

2023
Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses.
NeuroImage, October, 2023

ITACA: An open-source framework for Neurofeedback based on Brain-Computer Interfaces.
Comput. Biol. Medicine, June, 2023

MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research.
Comput. Methods Programs Biomed., March, 2023

2021
Abnormal meta-state activation of dynamic brain networks across the Alzheimer spectrum.
NeuroImage, 2021

High Frequential Resolution Networks: Considerations on a New Functional Brain Connectivity Framework.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Effect of segment length, sampling frequency, and imaging modality on the estimation of measures of brain meta-state activation: an MEG/EEG study.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Volume Conduction Effects on Connectivity Metrics: Application of Network Parameters to Characterize Alzheimer's Disease Continuum.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Analysis of Volume Conduction Effects on Different Functional Connectivity Metrics: Application to Alzheimer's Disease EEG Signals.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Towards Automatic Artifact Rejection in Resting-State MEG Recordings: Evaluating the Performance of the SOUND Algorithm.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019


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