Brain computer interfaces for neurorehabilitation – its current status as a rehabilitation strategy post-stroke.

摘要: The idea of using brain computer interfaces (BCI) for rehabilitation emerged relatively recently. Basically, BCI neurorehabilitation involves the recording and decoding local signals generated by patient, as he/her tries to perform a particular task (even if imperfect), or during mental imagery task. main objective is promote recruitment selected areas involved facilitate neural plasticity. recorded signal can be used in several ways: (i) objectify strengthen motor imagery-based training, providing patient feedback on imagined task, example, virtual environment; (ii) generate desired via functional electrical stimulation rehabilitative robotic orthoses attached patient's limb – encouraging optimizing execution well "closing" disrupted sensorimotor loop giving appropriate sensory feedback; (iii) understand cerebral reorganizations after lesion, order influence even quantify plasticity-induced changes networks. For applying re-equilibrate inter-hemispheric imbalance shown activity movement may help recovery. Its potential usefulness population has been demonstrated various levels its diverseness interface applications makes it adaptable large population. position status these very new systems should now considered with respect our current more less validated traditional methods, light wide range possible damage. heterogeneity post-damage expression inevitably complicates thus their use pathological conditions, asking controlled clinical trials.