Assessment of Effective Network Connectivity among MEG None Contaminated Epileptic Transitory Events

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Channels</td><td class="align_center">TP</td><td class="align_center">FP</td><td class="align_center">P</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">MLC14</td><td class="align_center">194</td><td class="align_center">28</td><td class="align_center">87%</td></tr><tr><td class="align_left">MLC15</td><td class="align_center">187</td><td class="align_center">32</td><td class="align_center">85%</td></tr><tr><td class="align_left">MLC33</td><td class="align_center">201</td><td class="align_center">46</td><td class="align_center">81%</td></tr><tr><td class="align_left">MLC43</td><td class="align_center">198</td><td class="align_center">38</td><td class="align_center">83%</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Precision of automatic detection and reconstruction of pure epileptic transitory events.</div>

Computational and Mathematical Methods in Medicine

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Table 2

Table 2: Assessment of Effective Network Connectivity among MEG None Contaminated Epileptic Transitory Events 