Oral Maxillofac Surg Clin North Am
December 2024
Complete arch oral implant treatment using photogrammetry was studied in 77 patients with 111 arches focusing on digitization of clinical records and optimization of the provisional. The aim of the study was to test the hypothesis that patient satisfaction with the provisional prosthesis during the first 4 months of care determined workflow efficiency and success. Digitization of 8 clinical records was done including centric relation, vertical dimension, esthetics, occlusion, inter-arch space, abutment selection, abutment capture, and soft tissue scan.
View Article and Find Full Text PDFDuring language comprehension, the larger neural response to unexpected versus expected inputs is often taken as evidence for predictive coding-a specific computational architecture and optimization algorithm proposed to approximate probabilistic inference in the brain. However, other predictive processing frameworks can also account for this effect, leaving the unique claims of predictive coding untested. In this study, we used MEG to examine both univariate and multivariate neural activity in response to expected and unexpected inputs during word-by-word reading comprehension.
View Article and Find Full Text PDFThe role of alpha oscillations (8-13 Hz) in suppressing distractors is extensively debated. One debate concerns whether alpha oscillations suppress anticipated visual distractors through increased power. Whereas some studies suggest that alpha oscillations support distractor suppression, others do not.
View Article and Find Full Text PDFClimate change is altering the thermal habitats of freshwater fish species. We analyze modeled daily temperature profiles from 12,688 lakes in the US to track changes in thermal habitat of 60 lake fish species from different thermal guilds during 1980-2021. We quantify changes in each species' preferred days, defined as the number of days per year when a lake contains the species' preferred temperature.
View Article and Find Full Text PDFThe complexity of natural environments requires highly flexible mechanisms for adaptive processing of single and multiple stimuli. Neuronal oscillations could be an ideal candidate for implementing such flexibility in neural systems. Here, we present a framework for structuring attention-guided processing of complex visual scenes in humans, based on multiplexing and phase coding schemes.
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