Extracting representations of cognition across neuroimaging studies improves brain decoding
Fig 3
Varying accuracy improvement with study size.
Training an MSTON decoder increases decoding accuracy for many studies (see Fig 2A). Gains are higher as we reduce the number of training subjects in target studies—pooling multiple studies is especially useful to decode studies performed on small cohorts. Error bars are calculated over 20 random data half-splits.