The time courses across ROIs were correlated, and Fisher’s r to z

The time courses across ROIs were correlated, and Fisher’s r to z transformation was applied to the correlation coefficients prior to averaging and performing statistical

comparison. In addition to the functional connectivity analysis described here, principal component analysis (PCA) was also used in SPSS (SPSS Inc. Chicago, IL) to examine the integration among regions. This method has been previously used to find connectivity of specialized areas of the visual add to favorites cortex analogous to the established functional and anatomical www.selleckchem.com/products/Perifosine.html distinctions (Ecker Inhibitors,research,lifescience,medical et al. 2007). Results The main results of this study can be summarized as: (1) behavioral data showed that the Inhibitors,research,lifescience,medical participants were significantly faster and more accurate in locating the position of objects than in identifying them; (2) while the location detection task elicited greater activation in the dorsal visual stream, recognizing objects showed greater recruitment of the left ITG and the left IFG; (3) functional connectivity revealed Inhibitors,research,lifescience,medical stronger connection between ITG and occipital

areas in object recognition task and between dorsal and ventral regions in location detection task; and (4) a PCA based on the correlation of the fMRI time course of activation between functional ROIs revealed three major components: frontoparietal, occipitotemporal, and subcortical. Behavioral data Paired samples t-tests revealed a statistically significant difference

in the mean reaction time for the location detection (M = 2158.93 msec, Inhibitors,research,lifescience,medical SD = 553.92 msec) and the object recognition (M = 2594.22 msec, SD = 420.77 msec) tasks, t(21) = 8.801, P < 0.001. A paired samples t-test was also used to examine performance accuracy in object Inhibitors,research,lifescience,medical and location tasks. This showed a statistically significant difference in accuracy during the location detection (M = 99.24%, SD = 1.6%) and object recognition (M = 93.56%, SD = 2.8%) tasks, t(21) =−4.55, P < 0.001. Brain activation When object recognition and location detection tasks were contrasted with fixation baseline, a set of dorsal and ventral regions along with Entinostat frontal and subcortical regions showed significant activation (P < 0.05, family-wise error corrected) (see Table 1 for a detailed list of peak locations and cluster size). Table 1 Clusters of peak activation (MNI coordinates) in object recognition and location detection tasks contrasted with fixation baseline (family-wise error corrected threshold of P < 0.05). A direct comparison between object recognition and location detection tasks revealed differential recruitment of areas associated with visual and object processing. Participants showed significantly greater activation in bilateral precuneus (Left Precuneus: x=−10, y=−66, z= 44; BA (Brodmann Area) = 7; Right Precuneus: x= 10, y=−68, z= 42; BA = 7) (P < 0.

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