, 1997), and these normalization parameters were applied to the functional volumes. The resulting functional volumes were then smoothed with an 8 mm FWHM Gaussian kernel. Analyses of restudy phase data were performed using a general linear model (GLM) in which a 4 s boxcar was convolved with the canonical hemodynamic response function (HRF) and its temporal and dispersion derivatives for each trial to model the Talazoparib datasheet BOLD response (Friston et al., 1998). For each restudy block, ten event types were modeled: subsequent associative/category hits (“hits”) for LD object, LD scene, SD

object, SD scene, and SS trials (collapsed across study pair category), and subsequent item only hits (“item only hits”) for LD object, LD scene, SD object, SD scene, and SS trials (collapsed across study pair category). Hit trials were defined as those restudy phase trials for which associative recognition was later successful on either memory test. Likewise, subsequent item only hit trials were defined as those trials for which associative memory was unsuccessful but item recognition was successful on either memory

test. Hit trials were utilized in analyses evaluating the relationships between brain activity, connectivity, and behavior in order to ensure that the relationships revealed actually relate to activity or connectivity associated with subsequent successful associative memory retrieval rather than due to some difference in the ratio of subsequently click here remembered to forgotten trials in a given

condition. While the previously described model was utilized in ROI identification, a second model was generated in which SS trials were segregated according to study pair category (objects, scenes). Isotretinoin For this model, we were unable to further segregate trials according to subsequent memory status given that few subjects contributed sufficient (9+) SS object hit trials to enable their inclusion in the analysis as such. Thus, for this model, all SS object trials were collapsed into a single event type, as were all SS scene trials, separately. The average number of trials in each of the LD object, LD scene, SD object, and SD scene hit conditions was 21, 20, 23, and 24, with minimum-maximum ranges of 11–36, 11–39, 10–43, and 9–41, respectively. Four of the 24 subjects analyzed did not have sufficient SS hit trials, so their data were not used in ROI specification involving the SS hit condition. The localizer blocks were also modeled using a GLM but here a 16 s boxcar was convolved with the canonical HRF and its temporal and dispersion derivatives to model the BOLD response. Three event types were modeled for the localizer blocks (scene, object, and scrambled object miniblocks). For each block and task, each model also included as covariates the across-scan mean and six regressors representing motion-related variance (three for rigid-body translation and three for rotation).