Decoded condition | Voxels | Real data: after (before) | Shuffled data: average (range) |
---|---|---|---|
Intended direction of cursor movement | |||
Right parietal | All voxels in cluster | 0.63 (0.64) | 0.50 (0.47–0.54) |
Top voxel in cluster | 0.85 (0.86) | 0.59 (0.55–0.65) | |
Top 20% voxels in cluster | 0.75 (0.76) | 0.54 (0.51–0.59) | |
Right motor | All voxels | 0.63 (0.63) | 0.50 (0.47–0.54) |
Top voxel | 0.82 (0.82) | 0.60 (0.55–0.64) | |
Top 20% voxels | 0.73 (0.73) | 0.54 (0.50–0.58) | |
Left frontal | All voxels | 0.64 (0.64) | 0.50 (0.47–0.53) |
Top voxel | 0.81 (0.81) | 0.58 (0.54–0.63) | |
Top 20% voxels | 0.73 (0.73) | 0.54 (0.50–0.58) | |
Visual | All voxels | 0.69 (0.75) | 0.50 (0.47–0.53) |
Top voxel | 0.99 (1.00) | 0.62 (0.57–0.67) | |
Top 20% voxels | 0.85 (0.95) | 0.55 (0.51–0.58) | |
Direction of hand movement | |||
Left motor | All voxels | 0.66 | 0.50 (0.47–0.55) |
Top voxel | 0.89 | 0.74 (0.70–0.78) | |
Top 20% voxels | 0.78 | 0.61 (0.58–0.65) | |
Right sensorimotor | All voxels | 0.63 | 0.50 (0.46–0.54) |
Top voxel | 0.79 | 0.69 (0.63–0.75) | |
Top 20% voxels | 0.72 | 0.60 (0.56–0.64) | |
Left parietal | All voxels | 0.63 | 0.50 (0.44–0.54) |
Top voxel | 0.76 | 0.67 (0.60–0.71) | |
Top 20% voxels | 0.71 | 0.59 (0.53–0.63) | |
Congruency | |||
Precuneus | All voxels | 0.63 | 0.50 (0.445–0.54) |
Top voxel | 0.78 | 0.68 (0.62–0.73) | |
Top 20% voxels | 0.71 | 0.59 (0.54–0.64) |
↵aCluster scoring using three different measures and their corresponding values from shuffle-labeled maps. For each subject, we took the following: (1) the average prediction level of all voxels in the cluster, (2) the prediction level of the highest voxel in the cluster, and (3) the average prediction levels of the top 20% of all voxels in the cluster (reported in the main text). The numbers in the table correspond to the average measure across all 10 subjects. Scoring of the clusters in the intended direction of cursor movement analysis is displayed after/before excluding voxels sensitive to direction of eye movements (column 3). The right column corresponds to the average and range of scores across 100 shuffle-labeled MSCMs. Numbers in the table represent classification performance (% correct).