This study will test the hypothesis that the clinical assessment and recommendations as determined by an alteration in medication type or dose made by endocrinologists for people with diabetes via videoconference are significantly different from those made through face-to-face consultation (null hypothesis).
Stimuli within each epoch were pseudo-randomized with respect to trial type (face or null events), face sex, and identity; no more than three consecutive trials were of the same trial type.
The order of the stimuli during each epoch was pseudorandomized with respect to trial type (face or null), such that no more than 3 consecutive trials were of the same type.
The order of the stimuli during each epoch was pseudorandomized with respect to the trial type (face or null), such that no more than 3 consecutive trials were of the same type.
In terms of the accuracy of the rating predictions, these results show that: (1) NNRA and PWRA are preferable to MRR profiling and (2) PWRA, when faced with null multi-criteria user ratings, outperforms both MMR and NNRA profiling in both datasets.
In terms of the accuracy of the rating predictions, these results show that: (1) NNRA and PWRA are preferable to MRR profiling; (2) PWRA, when faced with null multi-criteria user ratings, outperforms both MMR and NNRA profiling; (3) trust modelling influences positively the final recommendations and, together with PWRA, is the best approach.
As with the ToM network regions, none of the motor or visual regions identified in the faces versus null contrast showed a main effect of group.
The first-level model included four experimental factors (angry, sad, neutral faces, and null events) and six realignment parameters as effects of no interest to remove residual motion-related variance.
In order to determine whether connectivity differences were specific to the ToM network or reflected widespread reduction in connectivity in ASC, we performed correlation analyses on 2 additional "control" networks: A motor network and a visual network based on the contrast of faces versus null.
Thanks to the new feature extraction module and the normalization strategy, the system has shown strong robustness when facing the Null-activity and different placement scenarios, two vital aspects for real applications.
The PPI regressor was calculated as the element-by-element product of the right amygdala neuronal time series and a vector coding for the main effect of task (1 for angry, –1 for neutral, 0 for sad faces, 0 for null events).
