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. 2014 Sep 4;6:156–165. doi: 10.1016/j.nicl.2014.08.026

Fig. 2.

Fig. 2

Top: Time–frequency representation of power during the 5 s video of the facial affect recognition criterion task for schizophrenia patients (SZ) prior to training and for the HC19 healthy comparison group. The video started at 0 s with presentation of a static neutral face for 1 s, which changed to an emotional expression across seconds 2–4. The face stimulus was static during the 5th sec. Change in power relative to 1 s baseline before video onset (lower abscissa: −1 to 0) is expressed in dB and indicated by color change, with warm colors representing an increase and cold colors a decrease from prestimulus baseline. The upper abscissa reflects the percentage of emotion expressed at the time indicated on the lower abscissa. In top row illustrations, time–frequency representations (TFRs) of power are averaged across fear and happy conditions. TFRs are presented separately for groups (HC19, healthy controls; FAT: SZ assigned to facial affect training; CE: SZ assigned to cognitive exercises, CE; TAU: SZ assigned to treatment as usual). Bottom: Topographic representation of statistical group differences illustrating HC vs. all SZ patients, and HC vs. each SZ group. Black circles indicate MEG sensors belonging to significant clusters (details on cluster definition in methods). Color bars reflect F- (HC vs. all SZ) or t-values (HC vs. each patient group), with warm colors indicating larger power increase in HC than in the pooled SZ group (group, F > 3, p < .01) and larger power increase in HC than in each SZ group (t > 2, p < .01).