Abstract With the rapid development of Internet information technology, artificial intelligence, and other emerging industries, the boundaries between industries have become increasingly blurred, showing a new trend of cross-fertilization development. Achieving industrial integration development has become an important symbol for each region to build a modern industrial system and achieve high-quality economic development. This paper constructs a fusion development path with the help of rural tourism and rural revitalization fusion bases, such as policy factors and the divided self-media model. Combined with the entropy value method to calculate the weight of each index in the integration development path evaluation system, the integration development path is evaluated. The analysis of the model’s obstacle degree and coordination degree shows that the path’s integration development behavior is an important influencing factor from 2017 to 2021, and the annual average value of the obstacle degree is as high as 55.73%.Furthermore, the average obstacle degree of revitalization industry chain extension in five years is 52.37%. The coordination degree of the integration development path has increased from mild disorder to primary coordination, with coordination degrees of 0.334, 0.435, and 0.612, respectively, with an average annual increase of nearly 15%. This fully indicates that the integrated development path of rural tourism and revitalization begins to gradually step into a mature stage under the influence of the communication vision of self-media development.

Exploring the integration development path of rural tourism and rural revitalization under the perspective of self-media development and communication

Background: A single unprovoked seizure occurs in up to 10% of patients, but does not necessarily develop into epilepsy. It is unclear what determines the susceptibility to develop epilepsy. Although brain network changes have been ascertained in people with epilepsy, this field has not been studied in single seizure patients. Methods: Using 7T resting-state fMRI scanning, and co-registration watching a movie for naturalistic analysis of functional connectivity (Fc). Whole brain, Fc and Brodmann areas were analyzed using phase similarity measures and graph theory. Results: Ten patients with a single unprovoked seizure and fourteen age-and sex-matched healthy controls were recruited. Baseline characteristics were similar. Fc at baseline had no differences between groups. Movie-driven analysis did not show a significant difference overall regions but we observed significant differences in default mode and Visual association cortex as well as Dorsal posterior cingulate cortex (Dorsal PCC). Conclusions: Although no network connectivity differences were found between patients and controls, when movie-driven data was analyzed, differences were seen when comparing patients in the default mode network, visual association cortex, and dorsal posterior cingulate.

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P.036 Exploring changes in functional connectivity after a first unprovoked seizure: an fMRI resting state and movie-driven data study

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P.036 Exploring changes in functional connectivity after a first unprovoked seizure: an fMRI resting state and movie-driven data study