Table 4

Feature sets used for prediction analyses

ShortLongFeaturesDescription
oldold items4responses to old items only
newnew items4responses to new items only
bothold and new8responses to old and new items
FADEFADE scores2FADE scores for novelty and memory
SAMESAME scores2SAME scores for novelty and memory
bothFADE and SAME4FADE and SAME scores for novelty and memory
nov.novelty contrast vwhole-brain novelty contrast maps
mem.memory contrast vwhole-brain memory contrast maps
bothnov. and mem.2v whole-brain novelty and memory contrast maps
mPerAFmPerAF maps vwhole-brain percent amplitude fluctuation maps
GMVGMV maps vwhole-brain gray matter volume maps
allall features4v+12 all unique features listed in this table
  • Short and long feature set names are used as x-axis labels on Figures 2-5. The number of features corresponds to the number of columns in the data matrix used for prediction. FADE = functional activity deviation during encoding, SAME = similarities of activations during memory encoding, v = number of (in-mask) voxels.