Ricerc@Sapienza

Transcranial cerebellar direct current stimulation (tcDCS) can offer new insights into the cerebellar function and disorders, by modulating noninvasively the activity of cerebellar networks. Taking into account the functional interplay between the cerebellum and the cerebral cortex, we addressed the effects of unilateral tcDCS (active electrode positioned over the right cerebellar hemisphere) on the electroencephalographic (EEG) oscillatory activity and on the cortical network organization at resting state.

Methods based on the use of multivariate autoregressive modelling (MVAR) have proved to be an accurate and flexible tool for the estimation of brain connectivity. However, the multivariate approach, implies that the number of parameters to be estimated, increases quadratically with the number of time series included in the model. This can often lead to an undetermined problem and to the condition known as multicollinearity.

Introduction Modern neuroimaging has provided unequivocal evidence that brain functions are
subserved by multiple areas functionally interconnected. Brain computer interfaces (BCIs) may benefit
from feature extraction based on metrics derived from brain connectivity [1]-[3]. However, reaching the
minimally required accuracy when few data samples are available as in single trial or real-time
connectivity applications is still challenging. Variables selection algorithms could represent a valuable