Anti-POLE monoclonal antibody, clone 04I4B

The objective of the current study was to examine the relations between narcissism and Adler's community feeling. Based on theoretical considerations, we claim that community feeling can be treated as an opposite pole of narcissism and we expected that: (1) both grandiose and vulnerable narcissism would be negatively related to community feeling and that (2) grandiose and vulnerable narcissism would be positively related to anti-community domination and isolation. A sample of 520 university students (M-age = 21.37, SDage = 4.31) completed the Community Feeling Questionnaire (CFQ), the Narcissistic Admiration and Rivalry Questionnaire (NARQ) and the Hypersensitive Narcissism Scale (HSNS). Structural equation modeling largely confirmed our expectations. These results suggest that narcissism can be understood in terms of a deficit in community feeling. It turned out that community feeling and narcissism are related constructs but they are not reducible to each other.

Objective: In this study, we investigated the ability of fluid-attenuated inversion recovery (FLAIR) data coupled with machine-leaning algorithms to differentiate normal and epileptic brains and identify the laterality of focus side in temporal lobe epilepsy (TLE) patients with visually negative MRI. Materials and Methods: The MRI data were acquired on a 3-T MR system (Philips Medical Systems). After pre-proceeding stage, the FLAIR signal intensities were extracted from specific regions of interest, such as the amygdala, cerebral white matter, inferior temporal gyrus, middle temporal gyrus, parahippocampal gyrus, superior temporal gyrus, and temporal pole, and fed into a classification framework followed by a support vector machine as classifier. The proposed lateralization framework was assessed in a group of MRI-negative unilateral TLE patients (N = 42; 23 left TLE and 19 right TLE) and 34 healthy controls (HCs) based on a leave-one-out cross-validation strategy. Results: Using the FLAIR data, we obtained a 75% accuracy for discriminating the three groups, as well as 87.71, 83.01, and 76.19% accuracies for HC/right TLE, HC/left TLE, and left TLE/right TLE tasks, respectively. Interpretation: The experimental results show that FLAIR data can potentially be considered an informative biomarker for improving the pre-surgical diagnostic confidence in patients with MRI-negative TLE.