The Multiway stimulator coil® (Brainsway Ltd.) is a novel TMS stimulator with several new and unique properties. Currently standard TMS devices include a single channel, and can operate only a single coil. The Multiway stimulator coil® (Brainsway Ltd.) includes two channels which can operate two independent TMS coils, either simultaneously or sequentially.~The Multiway stimulator coil® (Brainsway Ltd.) may be used to obtain a differential activation of various brain regions. For instance it can be used to induce high frequency stimulation of a certain brain region, thus inducing facilitation, while simultaneously stimulate at low frequency in another brain region, leading to inhibition.~In the current study the investigators propose a multi-source pattern which integrates neuroimaging data associated with multiple, symptom-related neural processes relevant in depression to improve classification accuracy. The investigators conclude that combining brain activation related to the core-symptoms of depression using the multi-source monitoring data substantially increases classification accuracy while providing a sparse relational neuromarkers-model for future prediction.~The purpose of the study is to to monitor and optimize the anti depressive effect of brain modulation technique using novel multi model monitoring approach.~Subjects will be treated with one of two designs of the study device (the Multiway Coil®):~Single Channel with a coil placed over the left PFC (10 Hz).~Two channels: a. 10 Hz over the left PFC. b. 1 Hz over the right PFC.~All subjects in the current study will undergo monitoring procedure inclusive of functional MRI and electroencephalogram.
The investigators propose a multi-source pattern which integrates neuroimaging data associated with multiple, symptom-related neural processes relevant in depression to improve classification accuracy. The investigators conclude that combining brain activation related to the core-symptoms of depression using the multi-source monitoring data substantially increases classification accuracy while providing a sparse relational neuromarkers-model for future prediction.