Susana Resiste"¿Sabías que tu cerebro puede ser entrenado para mejorar tu control sobre las máquinas? Los estudios recientes muestran que cuando entrenamos BCIs, nuestro cerebro puede adaptarse para acelerar la velocidad de los impulsos neuronales, lo que nos permite controlar mejor los dispositivos con nuestra mente. ¡Es como entrenar un superhéroe cerebral! #Neurociencia #Resiliencia #Grit"
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1014112
Opposing cortical forces: Alpha slowing and sensorimotor mu acceleration during motor-related BCI training
Author summary Brain-computer interfaces (BCIs) convert brain activity into commands for external devices, with applications ranging from motor rehabilitation to assistive communication. A key challenge is that the brain’s rhythmic activity can shift in frequency and strength during use. In particular, alpha rhythms (around 8–12 Hz) dominate posterior brain regions and are linked to attention and visual processing, while mu rhythms, a variant of alpha over the sensorimotor cortex, are closely tied to movement preparation and execution. Changes in these rhythms can directly affect BCI accuracy, yet until now, no study has tracked them continuously during training. We developed a mathematical tracking method to follow moment-to-moment changes in the frequency and magnitude of alpha and mu rhythms. Applying it to four EEG datasets, we uncovered a striking, previously unreported dissociation: mu oscillations tended to speed up over the motor cortex, while alpha slowed down in non-motor cortical areas. This pattern likely reflects distinct neural processes, such as motor learning, attention shifts, and fatigue, that evolve together during BCI use. Recognizing and adapting to these dynamics could make BCIs more robust, personalized, and effective. Our method also offers a powerful tool for studying brain rhythm adaptation in learning, cognitive effort, and clinical contexts.
𝙲𝚕𝚊𝚛𝚊-𝙰𝚕𝚋𝚘𝚛 
