Learning brain dynamics for decoding and predicting individual differences
Fig 5
(A) The impact of a lesion in each of the seven standard networks is shown. The orange line shows accuracy without any lesion. (B) The impact of lesions to specific subnetworks was also evaluated, revealing greater contributions to clip classification by specific sets of brain regions. (C) Comparison of removal of regions from a given network (visual, somato-motor, or default mode) relative to a random set of regions from that same network. Removing regions in descending order of overall saliency (see text) impacted classification more than selecting regions without considering saliency (without replacement). For illustration, we also display the regions of the most impactful subnetworks observed in part B (red dots; also shown in the insets). The gray region shows the 95% confidence interval when the same number of regions were excluded at random.