#101: El fenotipo premotor en el daño cerebral y el aprendizaje episode artwork

EPISODE · Sep 5, 2026 · 1H 16M

#101: El fenotipo premotor en el daño cerebral y el aprendizaje

from Hemispherics

Hay pacientes con daño cerebral que tienen fuerza, movilidad o equilibrio suficientes para hacer mucho más de lo que finalmente consiguen en su vida diaria. Y otros, aparentemente más afectados, terminan siendo mucho más independientes. ¿Qué explica esa discrepancia? En este episodio utilizamos el concepto pedagógico de "fenotipo premotor" para explorar todo lo que ocurre entre disponer de movimiento y conseguir convertirlo en una acción: selección, preparación, secuenciación, predicción, aprendizaje, automatización y transferencia. Hablamos de corteza premotora, complejo motor suplementario, sinergias, aprendizaje explícito e implícito, retención, generalización y de por qué a veces "da un paso largo” funciona mejor que “extiende la rodilla”. También revisamos estrategias clínicas y tecnologías que podrían ayudarnos cuando el verdadero problema no está simplemente en la fuerza o el tono. Porque en neurorrehabilitación no basta con conseguir más movimiento: necesitamos conseguir que ese movimiento se convierta en una acción útil, estable, transferible y autónoma. Referencias del episodio: 1. Antenucci, P., Moura, J., Bhatia, K. P., Rocchi, L., & Latorre, A. (2026). The Bereitschaftspotential in Voluntary Movement and Movement Disorders: Potential, Limitations and New Perspectives. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 187, 2111895. https://doi.org/10.1016/j.clinph.2026.2111895 (https://pubmed.ncbi.nlm.nih.gov/42013765/). 2. Ariani, G., Shahbazi, M., & Diedrichsen, J. (2025). Cortical Areas for Planning Sequences before and during Movement. The Journal of neuroscience : the official journal of the Society for Neuroscience, 45(3), e1300242024. https://doi.org/10.1523/JNEUROSCI.1300-24.2024 (https://pmc.ncbi.nlm.nih.gov/articles/PMC11735648/). 3. Boyd, L., & Winstein, C. (2006). Explicit information interferes with implicit motor learning of both continuous and discrete movement tasks after stroke. Journal of neurologic physical therapy : JNPT, 30(2), 46–59. https://doi.org/10.1097/01.npt.0000282566.48050.9b (https://pubmed.ncbi.nlm.nih.gov/16796767/). 4. Branscheidt, M., Hadjiosif, A. M., Anaya, M. A., Keller, J., Widmer, M., Runnalls, K. D., Luft, A. R., Bastian, A. J., Krakauer, J. W., & Celnik, P. A. (2025). Reinforcement Learning is Impaired in the Sub-acute Post-stroke Period. Neurorehabilitation and neural repair, 39(4), 297–311. https://doi.org/10.1177/15459683241304352 (https://pubmed.ncbi.nlm.nih.gov/39849897/). 5. Cattaneo, L., Nunes, S., Giampiccolo, D., Caro, V. D., Basaldella, F., Badari, A., Tagliaferri, M., Squintani, G., & Sala, F. (2025). Anatomical characterization of premotor-motor connectivity in humans by paired intraoperative direct cortical stimulation. NeuroImage, 324, 121621. https://doi.org/10.1016/j.neuroimage.2025.121621 (https://pubmed.ncbi.nlm.nih.gov/41314273/). 6. Demeco, A., Marotta, N., Lentini, M. P., Fratto, C., Loiarro, G., Frizziero, A., Salerno, A., Cerasa, A., de Sire, A., & Ammendolia, A. (2026). Mental simulation practices in stroke rehabilitation reorganize brain connectivity: a systematic review. Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 35(9), 108719. https://doi.org/10.1016/j.jstrokecerebrovasdis.2026.108719 (https://pubmed.ncbi.nlm.nih.gov/42537726/). 7. Denyer, R., Greenhouse, I., & Boyd, L. A. (2023). PMd and action preparation: bridging insights between TMS and single neuron research. Trends in cognitive sciences, 27(8), 759–772. https://doi.org/10.1016/j.tics.2023.05.001 (https://pubmed.ncbi.nlm.nih.gov/37244800/). 8. Fridman, E. A., Hanakawa, T., Chung, M., Hummel, F., Leiguarda, R. C., & Cohen, L. G. (2004). Reorganization of the human ipsilesional premotor cortex after stroke. Brain : a journal of neurology, 127(Pt 4), 747–758. https://doi.org/10.1093/brain/awh082 (https://pubmed.ncbi.nlm.nih.gov/14749291/). 9. Fried, I., Katz, A., McCarthy, G., Sass, K. J., Williamson, P., Spencer, S. S., & Spencer, D. D. (1991). Functional organization of human supplementary motor cortex studied by electrical stimulation. The Journal of neuroscience : the official journal of the Society for Neuroscience, 11(11), 3656–3666. https://doi.org/10.1523/JNEUROSCI.11-11-03656.1991 (https://pubmed.ncbi.nlm.nih.gov/1941101/). 10. Fu, Y., Wang, W., Yan, Q., Song, J., Li, Y., Zhu, C., Chai, S. C., Subramaniam, P., Yao, L., & Singh, D. K. A. (2026). Comparative effects of transcranial direct and alternating current stimulation combined with cognitive-motor dual-task training on functional and cognitive recovery in stroke survivors. Frontiers in neurology, 17, 1720429. https://doi.org/10.3389/fneur.2026.1720429 (https://pubmed.ncbi.nlm.nih.gov/41725712/). 11. Garcea, F. E., & Buxbaum, L. J. (2023). Mechanisms and neuroanatomy of response selection in tool and non-tool action tasks: Evidence from left-hemisphere stroke. Cortex; a journal devoted to the study of the nervous system and behavior, 167, 335–350. https://doi.org/10.1016/j.cortex.2023.06.012 (https://pmc.ncbi.nlm.nih.gov/articles/PMC10543550/). 12. Genkin, M., Shenoy, K. V., Chandrasekaran, C., & Engel, T. A. (2025). The dynamics and geometry of choice in the premotor cortex. Nature, 645(8079), 168–176. https://doi.org/10.1038/s41586-025-09199-1 (https://pubmed.ncbi.nlm.nih.gov/40562938/). 13. Jahfari, S., Waldorp, L., van den Wildenberg, W. P., Scholte, H. S., Ridderinkhof, K. R., & Forstmann, B. U. (2011). Effective connectivity reveals important roles for both the hyperdirect (fronto-subthalamic) and the indirect (fronto-striatal-pallidal) fronto-basal ganglia pathways during response inhibition. The Journal of neuroscience : the official journal of the Society for Neuroscience, 31(18), 6891–6899. https://doi.org/10.1523/JNEUROSCI.5253-10.2011 (https://pubmed.ncbi.nlm.nih.gov/21543619/). 14. Kim, M. S., Park, H., Kwon, I., An, K. O., Kim, H., Park, G., Hyung, W., Im, C. H., & Shin, J. H. (2025). Efficacy of brain-computer interface training with motor imagery-contingent feedback in improving upper limb function and neuroplasticity among persons with chronic stroke: a double-blinded, parallel-group, randomized controlled trial. Journal of neuroengineering and rehabilitation, 22(1), 1. https://doi.org/10.1186/s12984-024-01535-2 (https://pubmed.ncbi.nlm.nih.gov/39757218/). 15. Koyama, T., & Domen, K. (2017). Diffusion Tensor Fractional Anisotropy in the Superior Longitudinal Fasciculus Correlates with Functional Independence Measure Cognition Scores in Patients with Cerebral Infarction. Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 26(8), 1704–1711. https://doi.org/10.1016/j.jstrokecerebrovasdis.2017.03.034 (https://pubmed.ncbi.nlm.nih.gov/28478977/). 16. Liepmann, H. (1900). Das Krankheitsbild der Apraxie (Motorische asymbolie): Auf Grund eines Falles von einseitiger Apraxie. Monatschrift für Psychiatrie und Neurologie, 8, 15-44 (https://www.mpi.nl/publications/item2354912/das-krankheitsbild-der-apraxie-motorische-asymbolie-auf-grund-eines-falles). 17. Meehan, S. K., Randhawa, B., Wessel, B., & Boyd, L. A. (2011). Implicit sequence-specific motor learning after subcortical stroke is associated with increased prefrontal brain activations: an fMRI study. Human brain mapping, 32(2), 290–303. https://doi.org/10.1002/hbm.21019 (https://pubmed.ncbi.nlm.nih.gov/20725908/). 18. Mihara, M., Hattori, N., Hatakenaka, M., Yagura, H., Kawano, T., Hino, T., & Miyai, I. (2013). Near-infrared spectroscopy-mediated neurofeedback enhances efficacy of motor imagery-based training in poststroke victims: a pilot study. Stroke, 44(4), 1091–1098. https://doi.org/10.1161/STROKEAHA.111.674507 (https://pubmed.ncbi.nlm.nih.gov/23404723/). 19. Mihara, M., Fujimoto, H., Hattori, N., Otomune, H., Kajiyama, Y., Konaka, K., Watanabe, Y., Hiramatsu, Y., Sunada, Y., Miyai, I., & Mochizuki, H. (2021). Effect of Neurofeedback Facilitation on Poststroke Gait and Balance Recovery: A Randomized Controlled Trial. Neurology, 96(21), e2587–e2598. https://doi.org/10.1212/WNL.0000000000011989 (https://pubmed.ncbi.nlm.nih.gov/33879597/). 20. Nachev, P., Kennard, C., & Husain, M. (2008). Functional role of the supplementary and pre-supplementary motor areas. Nature reviews. Neuroscience, 9(11), 856–869. https://doi.org/10.1038/nrn2478 (https://pubmed.ncbi.nlm.nih.gov/18843271/). 21. Park, S. H., Yan, S., Dee, W., Reed, R., Roth, E. J., Rymer, W. Z., & Wu, M. (2022). Repeated adaptation and de-adaptation to the pelvis resistance force facilitate retention of motor learning in stroke survivors. Journal of neurophysiology, 127(6), 1642–1654. https://doi.org/10.1152/jn.00046.2022 (https://pubmed.ncbi.nlm.nih.gov/35583975/). 22. Paul, T., Cieslak, M., Hensel, L., Wiemer, V. M., Tscherpel, C., Grefkes, C., Grafton, S. T., Fink, G. R., & Volz, L. J. (2024). Corticospinal premotor fibers facilitate complex motor control after stroke. Annals of clinical and translational neurology, 11(9), 2439–2449. https://doi.org/10.1002/acn3.52159 (https://pubmed.ncbi.nlm.nih.gov/39073030/). 23. Potgieser, A. R., de Jong, B. M., Wagemakers, M., Hoving, E. W., & Groen, R. J. (2014). Insights from the supplementary motor area syndrome in balancing movement initiation and inhibition. Frontiers in human neuroscience, 8, 960. https://doi.org/10.3389/fnhum.2014.00960 (https://pmc.ncbi.nlm.nih.gov/articles/PMC4246659/). 24. Zhang, Y., Zhang, Y., Zheng, B., Chen, S., Yu, H., Dai, L., Zhang, W., Huang, H., Su, X., Cao, M., & Chen, J. (2025). The effects of combining anodal transcranial direct current stimulation with robot-assisted gait training on lower limb motor function and the motor cortex regulation of stroke patients. Journal of neuroengineering and rehabilitation, 22(1), 230. https://doi.org/10.1186/s12984-025-01731-8 (https://pubmed.ncbi.nlm.nih.gov/41163056/). 25. Zhang, Y. S., Li, Y. D., Ou, C. X., Bi, Z. T., Xiao, J. H., Zhang, J. M., Wei, J. X., Xu, J. W., & Huang, L. (2026). Comparative efficacy and mechanistic insights of non-invasive neuromodulation and motor rehabilitation on functional reorganization of the supplementary motor area in subacute stroke: a narrative review. Frontiers in physiology, 17, 1744260. https://doi.org/10.3389/fphys.2026.1744260 (https://pubmed.ncbi.nlm.nih.gov/42005313/). 26. Zhou, Y., Li, X., Huang, W., Xie, H., Zheng, Y., Su, L., Xiang, H., Zhou, H., Jiang, W., & Dou, Z. (2026). Predicting activities of daily living at discharge in stroke patients using rehabilitation robot training-induced functional connectivity. Topics in stroke rehabilitation, 33(6), 618–629. https://doi.org/10.1080/10749357.2026.2612712 (https://pubmed.ncbi.nlm.nih.gov/41496182/).

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