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. 2016 Sep 14;10:454. doi: 10.3389/fnhum.2016.00454

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Copyright © 2016 Dimitriadis, Sun, Thakor and Bezerianos.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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To represent dSTE for each of the five cognitive workload levels [(A) Lv1, (B) Lv2, (C) Lv3, (D) Lv4, and (E) Lv5] and in both correct (left panel) and wrong trials (right panel), we adopted a novel visualization scheme, in which the relative position of a single sensor u is used to embed a whole brain’s topography that represents the dSTE(u,v) measurements related to it. A minute topography depicts the dSTEs from a particular sensor to all other destinations (sensor locations). It serves as a natural display of a row in the dSTE matrix. The topographic representation illustrates only the Frontal sensors because ΔdSTE uncovered F^θ brain region as a leader.