Fig. 2: Patients’ clustering.

Accuracy in the computerized task is depicted as a function of dot location (i.e., Ipsi-, Contra-, or Bi-lateral presentation) and load condition (i.e., Single Task - ST, Auditory Dual Task - ADT, and Visual Dual Task - VDT). An automated k-means clustering algorithm identified two clusters of patients within the entire sample (N = 46). Cluster 1 (C1, N = 31) achieved near-ceiling performance, whereas Cluster 2 (C2, N = 15) was characterized by clear lateralized biases which mainly emerged under multitasking conditions. The plot depicts the data distribution through boxplots: here, the boxes extend from the first to the third quartile of the distribution; the black line inside the box depicts the median; whiskers illustrate the variability in the tails of the distribution, and extend to either the minimum/maximum values or 1.5 times the height of the boxes (in which case more extreme values may be present, and are represented as dots). In Supplementary Fig. 2 and Supplementary Fig. 3 further images are available, depicting the performance of individual patients and divided by lesioned hemisphere.