Table 4.

Feature sets used for prediction analyses

Short	Long	Features	Description
old	old items	4	responses to old items only
new	new items	4	responses to new items only
both	old and new	8	responses to old and new items
FADE	FADE scores	2	FADE scores for novelty and memory
SAME	SAME scores	2	SAME scores for novelty and memory
both	FADE and SAME	4	FADE and SAME scores for novelty and memory
nov.	novelty contrast	$v$	whole-brain novelty contrast maps
mem.	memory contrast	$v$	whole-brain memory contrast maps
both	nov. and mem.	$2v$	whole-brain novelty and memory contrast maps
mPerAF	mPerAF maps	$v$	whole-brain percent amplitude fluctuation maps
GMV	GMV maps	$v$	whole-brain gray matter volume maps
all	all features	$4v+12$	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.