Curiosity and mesolimbic functional connectivity drive information seeking in real life.

Curiosity reflects an individual's intrinsic motivation to seek information in order to close information gaps. In laboratory-based experiments, both curiosity and information seeking have been associated with enhanced neural dynamics in the mesolimbic dopaminergic circuit. However, it is unclear whether curiosity and dopaminergic dynamics drive information seeking in real life. We investigated (i) whether curiosity predicts different characteristics of real-life information seeking and (ii) whether functional connectivity within the mesolimbic dopaminergic circuit is associated with information seeking outside the laboratory. Up to 15 months before the COVID-19 pandemic, curiosity and anxiety questionnaires and a 10-minute resting-state functional magnetic resonance imaging session were conducted. In a follow-up survey early during the COVID-19 pandemic, participants repeated the questionnaires and completed an additional questionnaire about their COVID-19-related information seeking. Individual differences in curiosity but not anxiety were positively associated with the frequency of information-seeking behaviour. Additionally, the frequency of information seeking was predicted by individual differences in resting-state functional connectivity between the ventral tegmental area and the nucleus accumbens. The present translational study paves the way for future studies on the role of curiosity in real-life information seeking by showing that both curiosity and the mesolimbic dopaminergic functional network support real-life information-seeking behaviour.

[Diagnosis of meningitis with reagent strips] / Diagnóstico das meningites através de fitas reagentes.

OBJECTIVE: To determine the usefulness of reagent strips in the evaluation of pleocytosis, cerebrospinal fluid glucose and protein levels for early and rapid diagnosis of meningitis in children. METHODS: We included cerebrospinal fluid samples of 164 children admitted to the outpatient clinic of Communicable Diseases of the General Pediatric Center (Fundação Hospitalar do Estado de Minas Gerais, CGP-FHEMIG) during the daytime hours from May of 1997 to May 1999, and who presented with clinical suspicion of meningitis. Patients ranged in age from one month to 12 years (median 12 months). Results from the cytological and biochemical assay (cellularity, cerebrospinal fluid glucose and protein levels) were obtained from 154 patients. These results were subsequently compared with the reaction of cerebrospinal fluid in reagent strips. RESULTS: The cytological and biochemical assay identified 43 cases of probable bacterial meningitis, 19 of probable viral meningitis, and 83 with no alterations. According to the reagent strips, there were 41 cases of probable bacterial meningitis, 2 of probable viral meningitis, and 71 with no alterations. By comparing the results of reagent strips and those of the cytological and biochemical assay, we obtained values for sensitivity, specificity, positive and negative predictive values, and accuracy (respectively 90.7; 98.1; 95.1; 96.4; and 96.1). Statistical analysis using McNemer test did not indicate significant differences between the two methods in the diagnosis of bacterial meningitis (P=0.68). Kappa statistics indicated a high level of agreement between the tests (P<0.0001). CONCLUSIONS: Our results suggest that reagent strips may be a useful additional resource in the diagnosis of bacterial meningitis, especially when it is difficult to collect a sufficient amount of cerebrospinal fluid or to indicate the initial treatment.

Perceptual studies on ultrasonic B-scan textures.

A pilot study of the perceptual characteristics of ultrasonic textured images is described. Scans of four models performed on four real-time machines optimised for display of a normal liver were used. A trial with 22 observers indicated that the model that gave images closest to the liver image varied between machines. A second, paired similarity test with five observers using all the model images was performed, with a cluster analysis of a multidimensional scaling procedure. This suggested that the prominent features of the textural images are often more closely related to the machines than to the models. Considerable further work is needed to confirm these pilot results and to identify the visual cues that are most significant in textured images.