Functional Brain Networks of Picture Naming in Broca's Aphasia and Healthy Controls

<p>The data were from the picture-naming task with&nbsp;MEG scanning.&nbsp;</p> <p>Brain networks of &quot;.net&quot; format:&nbsp;&nbsp;Each network has 776 regions that were&nbsp;derived by subdividing USCBrain Atlas. Phase-locking values (PLV) were calculated&nbsp;between the 776 regions in a gamma-band of 30-45Hz.&nbsp; PLVs&nbsp;were normalized (z-PLVs) by&nbsp;using the mean and standard deviation of the 200-ms pre-stimulus baseline.&nbsp;The edges were weighted by z-PLVs.&nbsp;</p> <p>Vector files of &quot;.vec&quot; format:&nbsp; Each file contains activations, viz., amplitude,&nbsp;of regions. There are two types of amplitude. One is the estimated electric density in a physical unit of picoampere. Another is the z-score of amplitude&nbsp;calculated through comparison with a baseline of &ndash;200 ms.</p> <p>We provided both the group-averaged files (named as b999 for the Broca group&nbsp;and c999 for the control group) and the individuals&#39;&nbsp;files (b1 to b5 for the Broca&#39;s aphasia and c1 to c5 for the control persons).</p> <p>We also provided two &quot;.clu&quot; files. One is&nbsp;the partition&nbsp;file of eight functional modules in two&nbsp;hemispheres. Another is the partition file of two hemispheres.&nbsp;</p> <p>The .net, .vec., and .clu files can be imported to&nbsp;Pajek for further interpretations and visualizations.&nbsp;&nbsp;&nbsp;</p> <p>&nbsp;</p>