Romero, Juan Pablo
Universidad Francisco de Vitoria
5 papers on CoChatORCID 0000-0002-3190-1296
Most cited papers
- Verified
Cannabinoid CB1and CB2Receptors and Fatty Acid Amide Hydrolase Are Specific Markers of Plaque Cell Subtypes in Human Multiple Sclerosis
Benito, C., Romero, J. P., Tolón, R. M., Clemente, D., Docagne, F., Hillard, C. J., Guaza, C., & Romero, J. (2007) · The Journal of Neuroscience
Cannabis and Cannabinoid ResearchMultiple Sclerosis Research Studies
Cited by 256
- Verified
Cannabinoid CB2receptor agonists protect the striatum against malonate toxicity: Relevance for Huntington's disease
Sagredo, O., González, S., Aroyo, I., Pazos, M. R., Benito, C., Lastres‐Becker, I., Romero, J. P., Tolón, R. M., Mechoulam, R., Brouillet, E., et al. (2009) · Glia
Cannabis and Cannabinoid ResearchNeuroinflammation and Neurodegeneration Mechanisms
Cited by 201
- Verified
Online tremor suppression using electromyography and low-level electrical stimulation
Dosen, S., Muceli, S., Dideriksen, J. L., Romero, J. P., Rocon, E., Pons, J., & Farina, D. (2015) · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Deep Brain Stimulation and Movement DisordersMuscle activation and electromyography studies
Cited by 120
- Verified
The Phase Difference Between Neural Drives to Antagonist Muscles in Essential Tremor Is Associated with the Relative Strength of Supraspinal and Afferent Input
Gallego, J. A., Dideriksen, J. L., Holobar, A., Ibanez, J., Glaser, V., Romero, J. P., Benito-Leon, J., Pons, J. L., Rocon, E., & Farina, D. (2015) · Journal of Neuroscience
Deep Brain Stimulation and Movement DisordersMotor Control and Adaptation
Cited by 67
- Verified
Essential tremor quantification based on the combined use of a smartphone and a smartwatch: The NetMD study
López-Blanco, R., Velasco, M. A., Méndez-Guerrero, A., Romero, J. P., del Castillo, M. D., Serrano, J. I., Benito-León, J., Bermejo-Pareja, F., & Rocon, E. (2018) · Journal of Neuroscience Methods
Deep Brain Stimulation and Movement DisordersContext-Aware Activity Recognition Systems
Cited by 40
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