Reconstruction of the very early thalamo-cortical network with combined EEG and MEG on realistic head modelingReconstruction of the very early thalamo-cortical network with combined EEG and MEG on realistic head modeling Δημοσίευση σε Συνέδριο Conference Publication 2023-05-162021enThis research has been co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, entrepreneurship and Innovation, under the call RESEARCH CREATE INNOVATE (project code: T1EDK-04440, x-ΒΛΕΨΙΣ). This work was by the “Alexander S. Onassis” Public Benefit Foundation and the German Research Foundation (DFG) in the scope of the priority program SPP1665, project WO1425/5-1. The early primary somatosensory network remains a rarely investigated brain area due to the fast transitions among the involved cortical and subcortical regions. In this regard, a non-invasive and subject-specific method that quantifies the very early temporal interdependences in the thalamo-cortical/cortico-cortical pathway of the primary somatosensory network would be of particular significance. Combined electro- (EEG) and magneto- (MEG) encephalography (EMEG) source analysis has been shown to exploit the complementary content of the single modalities EEG and MEG based on subject-specific and realistic head modeling. The current study aims to investigate the connectivity of the very early primary somatosensory network using EMEG source analysis with functionally-based decomposition and time-variant effective connectivity. Three-time temporally determined components are chosen based on the combined somatosensory evoked responses to highlight the thalamo-cortical and cortico-cortical interactions. The results confirm that electrophysiological activity flows from the thalamic regions of the brain to the first tangentially oriented neurological somatosensory brain region (Broadman area 3b, thalamo-cortical connection) and then to the radially-oriented brain region (Broadman area 3a, cortico-cortical connection). We also present that the flows between the investigated components that do not fit to the flow of the neurological activity from the wrist to the somatosensory network, when increasing the confidence interval (CI). Overall, EMEG source analysis with realistic head modeling and a functionally-based connectivity estimator is able to capture very fast transitions on the early-involved somatosensory network.http://creativecommons.org/licenses/by/4.0/371-3742021 10th International IEEE/EMBS Conference on Neural Engineering Politof Konstantinos Πολιτωφ Κωνσταντινος Antonakakis Marios Αντωνακακης Μαριος Wollbrink Andreas Wolters Carsten H. Zervakis Michail Ζερβακης Μιχαηλ Institute of Electrical and Electronics Engineers Wrist Analytical models Encephalography Neural engineering Electrophysiology Brain modeling Magnetic heads