Neuron-Microglia Interaction is Involved in Anti-inflammatory Response by Vagus Nerve Stimulation in the Prefrontal Cortex of Rats Injected with Polyinosinic:Polycytidylic Acid.

Injection of polyinosinic:polycytidylic acid (poly(I:C)) into experimental animals induces neuroimmunological responses and thus has been used for the study of neurological disorders such as anxiety, depression, and chronic fatigue. Here, we investigated the effects of vagus nerve stimulation (VNS) on poly(I:C)-induced neuroinflammation and associated behavioral consequences in rats. The microglia in the prefrontal cortex (PFC) displayed the activated form of morphology in poly(I:C)-injected rats and changed to a normal shape after acute VNS (aVNS). Production of phospho-NF-κB, phospho-IκB, IL-1ß, and cleaved caspase 3 was elevated by poly(I:C) and downregulated by aVNS. In contrast, phospho-Akt levels were decreased by poly(I:C) and increased by aVNS. Neuronal production of fractalkine (CX3CL1) in the PFC was markedly reduced by poly(I:C), but recovered by aVNS. Fractalkine interaction with its receptor CX3CR1 was highly elevated by VNS. We further demonstrated that the pharmacological blockade of CX3CR1 activity counteracted the production of IL-1ß, phospho-Akt, and cleaved form of caspase 3 that was modulated by VNS, suggesting the anti-inflammatory effects of fractalkine-CX3CR1 signaling as a mediator of neuron-microglia interaction. Behavioral assessments of pain and temperature sensations by von Frey and hot/cold plate tests showed significant improvement by chronic VNS (cVNS) and forced swimming and marble burying tests revealed that the depressive-like behaviors caused by poly(I:C) injection were rescued by cVNS. We also found that the recognition memory which was impaired by poly(I:C) administration was improved by cVNS. This study suggests that VNS may play a role in regulating neuroinflammation and somatosensory and cognitive functions in poly(I:C)-injected animals.

Towards Visualization Thumbnail Designs That Entice Reading Data-Driven Articles.

As online news increasingly include data journalism, there is a corresponding increase in the incorporation of visualization in article thumbnail images. However, little research exists on the design rationale for visualization thumbnails, such as resizing, cropping, simplifying, and embellishing charts that appear within the body of the associated article. Therefore, in this paper we aim to understand these design choices and determine what makes a visualization thumbnail inviting and interpretable. To this end, we first survey visualization thumbnails collected online and discuss visualization thumbnail practices with data journalists and news graphics designers. Based on the survey and discussion results, we then define a design space for visualization thumbnails and conduct a user study with four types of visualization thumbnails derived from the design space. The study results indicate that different chart components play different roles in attracting reader attention and enhancing reader understandability of the visualization thumbnails. We also find various thumbnail design strategies for effectively combining the charts' components, such as a data summary with highlights and data labels, and a visual legend with text labels and Human Recognizable Objects (HROs), into thumbnails. Ultimately, we distill our findings into design implications that allow effective visualization thumbnail designs for data-rich news articles. Our work can thus be seen as a first step toward providing structured guidance on how to design compelling thumbnails for data stories.

Roslingifier: Semi-Automated Storytelling for Animated Scatterplots.

We present Roslingifier, a data-driven storytelling method for animated scatterplots. Like its namesake, Hans Rosling (1948-2017), a professor of public health and a spellbinding public speaker, Roslingifier turns a sequence of entities changing over time-such as countries and continents with their demographic data-into an engaging narrative elling the story of the data. This data-driven storytelling method with an in-person presenter is a new genre of storytelling technique and has never been studied before. In this article, we aim to define a design space for this new genre-data presentation-and provide a semi-automated authoring tool for helping presenters create quality presentations. From an in-depth analysis of video clips of presentations using interactive visualizations, we derive three specific techniques to achieve this: natural language narratives, visual effects that highlight events, and temporal branching that changes playback time of the animation. Our implementation of the Roslingifier method is capable of identifying and clustering significant movements, automatically generating visual highlighting and a narrative for playback, and enabling the user to customize. From two user studies, we show that Roslingifier allows users to effectively create engaging data stories and the system features help both presenters and viewers find diverse insights.