Transcranial direct current stimulation (tDCS) has shown the potential to improve symptoms in patients with movement deficits, such as Parkinson's disease and chronic stroke. However, the effects of tDCS have so far not been proven on a wider scale due to lack of knowledge regarding exactly how tDCS works. This has limited the adoption of this potentially useful therapy for patients with Parkinson's disease, chronic stroke and other conditions affecting movement. We think that by studying the effect of tDCS on brain signals while subjects perform a virtual reality task that requires integration of visual and motor information we can separate out exactly what occurs in the brain when tDCS is turned on. We expect this approach to broaden our understanding of tDCS application in conditions affecting movement and possibly lead to therapeutic advances in this population.
Transcranial direct current stimulation (tDCS) has shown the potential to improve symptoms in patients with motor deficits, however its effects have not been consistent in randomized studies to date, limiting widespread adoption of this technology. A critical gap in our knowledge is a detailed understanding of how tDCS affects motor areas in the brain. We propose using tDCS while recording directly from motor cortex using subdural electrocorticography (sECoG) in patients undergoing deep brain stimulation surgery. We expect this novel approach to broaden our understanding of tDCS application and possibly lead to therapeutic advances in this population.