Objective To analyze the application characteristics,trends,and special advantages of anti-infection research using the Bayesian method,and to provide methodological reference for the development of anti-infection research.Methods PubMed,CNKI and WanFang Data were electronically searched for the studies on anti-infection using Bayesian method published from January 1,2015 to November 21,2023.The relevant information of publication time,anti-infection type,sample size,Bayesian characteristics and Bayesian application pattern were analyzed descriptively and reviewed.Results A total of 86 studies were included,of which 41.9％were observational studies,only 7.0％were enterprise-initiated studies,and 48.8％were mentioning prior information studies.There was no domestic intervention study.The application characteristics and advantages of Bayesian method in intervention study,observational study and pharmacokinetic study are different.In intervention researches and observational researches,the application of Bayesian design decision and the application of Bayesian analysis and estimation accounts for 69.2％and 52.8％at most,respectively.Conclusions The Bayesian method is flexible,can be used for small sample sizes and complex model research,and can deal with uncertainty.In intervention studies in the field of anti-infection in China,the Bayesian method has not been applied widely.Only a handful of studies applying Bayesian method have been initiated by companies.In the future,it is still necessary to promote the advantages and application scenarios of Bayesian methods in the field of anti-infection research and strengthen the standardization of the application of Bayesian method.

Brain imaging abnormalities are present in schizophrenia (SZ) and bipolar disorder (BD), demonstrating disease-specific changes, yet they also share similarities in certain brain regions or functional characteristics, with SZ potentially exhibiting more extensive brain damage compared to BD. Structural magnetic resonance imaging (MRI) studies demonstrated widespread gray matter reductions in SZ, particularly in the prefrontal and temporal lobes. In BD, gray matter thickening was observed in the prefrontal lobes during manic episodes, while a reduction in gray matter was noted in the amygdala and hippocampus during depressive episodes. Both SZ and BD exhibited increased ventricular volume and reduced overall brain volume. Functional MRI studies revealed reduced functional connectivity in the prefrontal and temporal lobes in SZ, with decreased global and local efficiency in brain regions such as the hippocampus and cingulate gyrus. BD showed enhanced connectivity in the anterior cingulate gyrus and the default mode network (DMN). Both SZ and BD demonstrated altered functional connectivity in areas such as the striatum, salience network, central executive network and DMN. Diffusion tensor imaging studies showed decreased fractional anisotropy (FA) in the corpus callosum of SZ, with a decrease in FA in the left fronto-occipital fasciculus in BD. Both SZ and BD exhibited reduced FA in the uncinate fasciculus and corpus callosum. Magnetic resonance spectroscopy revealed decreased concentrations of glutathione, N-acetylaspartate (NAA) and inositol in the anterior cingulate gyrus of SZ. In BD, glutathione and inositol concentrations were elevated in the anterior cingulate gyrus, while NAA levels decreased during depressive episodes and increased during remission. Both SZ and BD showed increased levels of glutamate and gamma-aminobutyric acid in the prefrontal cortex. This article provides a review of the current evidence on the differences and similarities in multimodal magnetic resonance brain imaging between SZ and BD, aiming to offer a reference for future exploration of neuroimaging biomarkers and the neurobiological mechanisms of SZ and BD.

Brain imaging abnormalities are present in schizophrenia (SZ) and bipolar disorder (BD), demonstrating disease-specific changes, yet they also share similarities in certain brain regions or functional characteristics, with SZ potentially exhibiting more extensive brain damage compared to BD. Structural magnetic resonance imaging (MRI) studies demonstrated widespread gray matter reductions in SZ, particularly in the prefrontal and temporal lobes. In BD, gray matter thickening was observed in the prefrontal lobes during manic episodes, while a reduction in gray matter was noted in the amygdala and hippocampus during depressive episodes. Both SZ and BD exhibited increased ventricular volume and reduced overall brain volume. Functional MRI studies revealed reduced functional connectivity in the prefrontal and temporal lobes in SZ, with decreased global and local efficiency in brain regions such as the hippocampus and cingulate gyrus. BD showed enhanced connectivity in the anterior cingulate gyrus and the default mode network (DMN). Both SZ and BD demonstrated altered functional connectivity in areas such as the striatum, salience network, central executive network and DMN. Diffusion tensor imaging studies showed decreased fractional anisotropy (FA) in the corpus callosum of SZ, with a decrease in FA in the left fronto-occipital fasciculus in BD. Both SZ and BD exhibited reduced FA in the uncinate fasciculus and corpus callosum. Magnetic resonance spectroscopy revealed decreased concentrations of glutathione, N-acetylaspartate (NAA) and inositol in the anterior cingulate gyrus of SZ. In BD, glutathione and inositol concentrations were elevated in the anterior cingulate gyrus, while NAA levels decreased during depressive episodes and increased during remission. Both SZ and BD showed increased levels of glutamate and gamma-aminobutyric acid in the prefrontal cortex. This article provides a review of the current evidence on the differences and similarities in multimodal magnetic resonance brain imaging between SZ and BD, aiming to offer a reference for future exploration of neuroimaging biomarkers and the neurobiological mechanisms of SZ and BD.

Objective To analyze the application characteristics,trends,and special advantages of anti-infection research using the Bayesian method,and to provide methodological reference for the development of anti-infection research.Methods PubMed,CNKI and WanFang Data were electronically searched for the studies on anti-infection using Bayesian method published from January 1,2015 to November 21,2023.The relevant information of publication time,anti-infection type,sample size,Bayesian characteristics and Bayesian application pattern were analyzed descriptively and reviewed.Results A total of 86 studies were included,of which 41.9％were observational studies,only 7.0％were enterprise-initiated studies,and 48.8％were mentioning prior information studies.There was no domestic intervention study.The application characteristics and advantages of Bayesian method in intervention study,observational study and pharmacokinetic study are different.In intervention researches and observational researches,the application of Bayesian design decision and the application of Bayesian analysis and estimation accounts for 69.2％and 52.8％at most,respectively.Conclusions The Bayesian method is flexible,can be used for small sample sizes and complex model research,and can deal with uncertainty.In intervention studies in the field of anti-infection in China,the Bayesian method has not been applied widely.Only a handful of studies applying Bayesian method have been initiated by companies.In the future,it is still necessary to promote the advantages and application scenarios of Bayesian methods in the field of anti-infection research and strengthen the standardization of the application of Bayesian method.

Schizophrenia is a chronic disabling disease of unknown etiology. Its neuroimaging abnormalities have been confirmed by a large number of studies. However, when these structural abnormalities occur and how they develop over time are unclear. The relationship between structural abnormalities and antipsychotic treatment needs to be further explored. Longitudinal studies on the brain structure of clinical high risk for psychosis, first-episode schizophrenia and chronic schizophrenia, exploring the influence of drug therapy on them, are helpful to construct the trajectories of brain structure changes in the whole course of schizophrenia and dynamically track the brain structure changes, so as to further explore the pathophysiology of schizophrenia. This article reviews the longitudinal research progress of brain structure changes in patients with schizophrenia.

Schizophrenia is a chronic disabling disease of unknown etiology. Its neuroimaging abnormalities have been confirmed by a large number of studies. However, when these structural abnormalities occur and how they develop over time are unclear. The relationship between structural abnormalities and antipsychotic treatment needs to be further explored. Longitudinal studies on the brain structure of clinical high risk for psychosis, first-episode schizophrenia and chronic schizophrenia, exploring the influence of drug therapy on them, are helpful to construct the trajectories of brain structure changes in the whole course of schizophrenia and dynamically track the brain structure changes, so as to further explore the pathophysiology of schizophrenia. This article reviews the longitudinal research progress of brain structure changes in patients with schizophrenia.

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