38 research outputs found

    Quantitative Susceptibility Mapping of Ring Lesions in Relapsing Remitting Multiple Sclerosis

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    Introduction: Our project evaluates the presence of and changes in susceptibility and volume of ring lesions (RLs) over a two-year time period in a series of relapsing remitting MS (RRMS) subjects, and identifies and quantifies any other parameters that correlated with EDSS score. Methods: All subjects went through 3T MR imaging at baseline and 41 subjects underwent a maximum of two follow-up scans. The imaging protocol included T2 fluid attenuated inversion recovery (FLAIR), T1-weighted imaging acquired pre and post contrast, T2-weighted turbo spin-echo (T2 TSE) and susceptibility weighted imaging (SWI) sequences, all collected in a transverse mode. SWI, FLAIR, T1- and T2-weighted images were co-registered to verify the agreement of ring lesions across all modalities. The mean and peak susceptibilities of RLs on QSM data, lesion volume on FLAIR, RL volume on T2-weighted, and inner-/outer-diameters and absolute intensity value of RLs on T2-weighted data were recorded at all available time points. Results: Quantity of ring lesions had a positive correlation with EDSS, yet lesion volume showed no such relationship. Measurements of both the entire annular ring and its section with peak susceptibility on QSM remained constant over time. On the other hand, the FLAIR lesion volume was positively correlated with EDSS. Conclusions: This work does a comprehensive analysis of ring lesions by evaluating FLAIR, QSM and T2 data across 43 patients and over multiple time points. Since several parameters regarding RL characteristics having remained relatively constant, lesion evolution at the ring periphery may be a very slow process

    Beyond the Bandwagon: Curating Cultural Memory at Milner Library

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    Archival and manuscript materials record human experience; they document how people have lived, worked, interacted, and thought about the world. These unique or rare materials make visible the experience and impact of individuals and organizations within their respective cultural, geographical, historical, local, and educational milieu. By exploring such documents and objects, patrons can see and investigate these relationships firsthand. Primary sources form the bedrock of humanistic research, personal inquiry, and engaged teaching. With this volume, we invite you to explore the unique and rare materials housed in Milner Library’s Special Collections and Dr. Jo Ann Rayfield University Archives as well as the services that bring them to life for readers worldwide. Contributed essays from scholars and collection stewards highlight how a small sample of these rich collections facilitate teaching and learning within the Illinois State University community and beyond.https://ir.library.illinoisstate.edu/mlp/1032/thumbnail.jp

    The application of online transcranial random noise stimulation and perceptual learning in the improvement of visual functions in mild myopia

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    It has recently been demonstrated how perceptual learning, that is an improvement in a sensory/perceptual task upon practice, can be boosted by concurrent high-frequency transcranial random noise stimulation (tRNS). It has also been shown that perceptual learning can generalize and produce an improvement of visual functions in participants with mild refractive defects. By using three different groups of participants (single-blind study), we tested the efficacy of a short training (8 sessions) using a single Gabor contrast-detection task with concurrent hf-tRNS in comparison with the same training with sham stimulation or hf-tRNS with no concurrent training, in improving visual acuity (VA) and contrast sensitivity (CS) of individuals with uncorrected mild myopia. A short training with a contrast detection task is able to improve VA and CS only if coupled with hf-tRNS, whereas no effect on VA and marginal effects on CS are seen with the sole administration of hf-tRNS. Our results support the idea that, by boosting the rate of perceptual learning via the modulation of neuronal plasticity, hf-tRNS can be successfully used to reduce the duration of the perceptual training and/or to increase its efficacy in producing perceptual learning and generalization to improved VA and CS in individuals with uncorrected mild myopia

    31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016) : part two

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    Background The immunological escape of tumors represents one of the main ob- stacles to the treatment of malignancies. The blockade of PD-1 or CTLA-4 receptors represented a milestone in the history of immunotherapy. However, immune checkpoint inhibitors seem to be effective in specific cohorts of patients. It has been proposed that their efficacy relies on the presence of an immunological response. Thus, we hypothesized that disruption of the PD-L1/PD-1 axis would synergize with our oncolytic vaccine platform PeptiCRAd. Methods We used murine B16OVA in vivo tumor models and flow cytometry analysis to investigate the immunological background. Results First, we found that high-burden B16OVA tumors were refractory to combination immunotherapy. However, with a more aggressive schedule, tumors with a lower burden were more susceptible to the combination of PeptiCRAd and PD-L1 blockade. The therapy signifi- cantly increased the median survival of mice (Fig. 7). Interestingly, the reduced growth of contralaterally injected B16F10 cells sug- gested the presence of a long lasting immunological memory also against non-targeted antigens. Concerning the functional state of tumor infiltrating lymphocytes (TILs), we found that all the immune therapies would enhance the percentage of activated (PD-1pos TIM- 3neg) T lymphocytes and reduce the amount of exhausted (PD-1pos TIM-3pos) cells compared to placebo. As expected, we found that PeptiCRAd monotherapy could increase the number of antigen spe- cific CD8+ T cells compared to other treatments. However, only the combination with PD-L1 blockade could significantly increase the ra- tio between activated and exhausted pentamer positive cells (p= 0.0058), suggesting that by disrupting the PD-1/PD-L1 axis we could decrease the amount of dysfunctional antigen specific T cells. We ob- served that the anatomical location deeply influenced the state of CD4+ and CD8+ T lymphocytes. In fact, TIM-3 expression was in- creased by 2 fold on TILs compared to splenic and lymphoid T cells. In the CD8+ compartment, the expression of PD-1 on the surface seemed to be restricted to the tumor micro-environment, while CD4 + T cells had a high expression of PD-1 also in lymphoid organs. Interestingly, we found that the levels of PD-1 were significantly higher on CD8+ T cells than on CD4+ T cells into the tumor micro- environment (p < 0.0001). Conclusions In conclusion, we demonstrated that the efficacy of immune check- point inhibitors might be strongly enhanced by their combination with cancer vaccines. PeptiCRAd was able to increase the number of antigen-specific T cells and PD-L1 blockade prevented their exhaus- tion, resulting in long-lasting immunological memory and increased median survival

    Using animal movement behavior to categorize land cover and predict consequences for connectivity and patch residence times

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    Context Landscape-scale population dynamics are driven in part by movement within and dispersal among habitat patches. Predicting these processes requires information about how movement behavior varies among land cover types. Objectives We investigated how butterfly movement in a heterogeneous landscape varies within and between habitat and matrix land cover types, and the implications of these differences for within-patch residence times and among-patch connectivity. Methods We empirically measured movement behavior in the Baltimore checkerspot butterfly (Euphydryas phaeton) in three land cover classes that broadly constitute habitat and two classes that constitute matrix. We also measured habitat preference at boundaries. We predicted patch residence times and interpatch dispersal using movement parameters estimated separately for each habitat and matrix land cover subclass (5 categories), or for combined habitat and combined matrix land cover classes (2 categories). We evaluated the effects of including edge behavior on all metrics
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