Abstract: The present invention provides an electrode headset grid adapted to fit on a head of a human subject, the grid comprising a plurality of conductive regions, electrically isolated from each other, wherein the conductive regions are configured to contact at least one electrode, and wherein the configuration of the conductive regions is configured to define an operating electrode unit. There is further provided an integrated system for brain electric stimulation and EEG monitoring, the system comprising the electrode headset grid and a plurality of electrodes. The invention further provides use of the electrode headset grid in an integrated non-invasive brain electrical stimulation and monitoring procedure.

Abstract: Systems and a computer implemented method for classifying a brain status of a subject, from a neural activity response of the subject to an induced TMS stimulation; the method comprising: constructing a machine learning classifier (MLC) configured to classify a subjects brain status; training the MLC using a training set, the training set comprising pairs of training output-classification vectors and their corresponding training input vectors, all extracted from a database of subjects with known brain status classifications; and applying the trained MLC on an input vector comprising features extracted from a tested-subjects brain neural activity response to the induced TMS stimulation, to obtain an output classification vector for the tested-subjects brain status.

Abstract: Methods, systems and devices for detecting and treating cognitive impairment conditions by inducing stimulation to a predetermined region of the brain and measuring neural activity response to the stimulation and evaluating a neuroplasticity of neural-structures in a predetermined brain region, then stimulating the predetermined brain region to treat the cognitive impairment condition.