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(2012). Statistical analysis We first examined the effectiveness of our mood induction procedure in producing stimulus-congruent mood changes using repeated-measures analyses of variance (ANOVAs) and paired-samples t-tests on self-reported mood ratings. Subsequently, whole-brain analysis of ASL images from the three mood induction conditions was performed using a one-way, within-subjects ANOVA with gender and learn more mean global CBF added as covariates. This was due to small, but significant changes in global CBF that occurred during the time inside the scanner [F2,38?=?8.66, P?=?0.001, ?=?0.313; mean global CBF decrease from 56.2 to 53.9?mL blood/100?g tissue/min]. As this was an exploratory study and to date there is no consensus regarding statistical analysis of ASL ��activation�� data, we employed two different methods to indicate significance of findings at the whole-brain level. First, we used the stringent, SPM-derived significance of P? et?al. 2011) to determine the cluster size (number of voxels) needed in order ATP7A to achieve a corrected P lower than 0.05; thresholding the statistical images with a cluster-forming threshold of P?=?0.01 and clustering with a cluster connection radius of 2?mm. Minimum cluster size for all individual analyses are provided in the results section. For all ROI analyses, small volume correction in SPM was used, FWE corrected at the voxel level. We then investigated whether the amount of self-reported mood change from neutral to sad/happy correlated with the amount of change in brain perfusion patterns. To do this, we performed a multiple regression analysis with the difference in self-reported mood scores (sad or happy minus neutral) regressed against the difference between respective perfusion images (neutral subtracted from sad or happy). Gender and mean global CBF were added to the model as covariates. The effects of depressive Anti-infection Compound Library cost symptoms on brain perfusion patterns following mood induction were examined using multiple regression. Total MFQ score was added to the model as a predictor, and the ��perfusion difference�� image (neutral subtracted from sad or happy) as the outcome. Gender and mean global CBF were added to the model as covariates. Results Behavioral results Mood ratings As illustrated in Figure?Figure1,1, the mood induction procedure led to significant changes in self-reported mood ratings among the participants, F1.41,28.10?=?143.48, P?
