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.

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.

Objective:To explore differences of resting brain regional homogeneity (ReHo) between patients with major depressive disorder (MDD) and their siblings.Methods:From January to December 2013, the resting-state functional magnetic resonance imaging (fMRI) data of 87 patients with MDD and 21 healthy siblings were collected.DPABI v5.1 software was used to preprocess the resting-state fMRI data, and ReHo maps of each subject was obtained. A two-sample t-test was used to compare differences between the patients with MDD and their siblings in ReHo values throughout the brain. ReHo values within the significant brain regions were extracted out, and used to calculate Spearman correlation with the total score of 17-items Hamilton depression rating scale(HAMD-17) in the patients with MDD and their siblings respectively.The software of SPSS 20.0 was used for statistical analysis. Results:The patients with MDD exhibited lower ReHo values in the precuneus extending to the posterior cingulate cortex (PCu/PCC) compared with their siblings (cluster-size=126 voxel, cluster-level PFDR=0.033; MNI: x=-4, y=-58, z=38, t=4.30). ReHo values of the PCu/PCC in patient with MDD were positively correlated with the severity of depressive symptoms ( r=0.255, P=0.021). Conclusion:Compared with the siblings, local brain activity of the PCu/PCC in the patients with MDD was decreased, and related to the severity of depressive symptoms. It is helpful to further reveal the intrinsic neural mechanism of MDD.

The research on clinical high-risk for psychosis is a hotspot in recent years, which is helpful to the early identification and early intervention of psychosis. White matter fibers are the important structural basis of complex information transmission function among brain regions. The existing literatures show that there are abnormal white matter microstructures in individuals at clinical high-risk for psychosis, which is related to their clinical symptoms and social function. Diffusion tensor imaging is the only non-invasive technique to study the microstructure of brain white matter. This paper reviews the existing evidences of microstructural abnormalities of white matter at clinical high-risk for psychosis by diffusion tensor imaging, in order to comprehensively analyze the potential neurobiomarkers in the early stage of the disease and the pathological evolution characteristics in the development of the disease.

Adult Germline Stem Cells ; Humans ; Male ; Mutation ; Spermatogenesis ; Spermatogonia

Objective To investigate the discrimination of first?episode schizophrenia patients and healthy people using a perceived spatial separation induced pre?pulse inhibition (PSS?PPI). Methods A total of 42 patients with first?episode schizophrenia and 38 healthy controls matched with gender, age, and education level were included. The Positive and Negative Syndrome Scale (PANSS) was used to assess psychopathological symptoms of the patients, all subjects underwent modified paradigm of prepulse inhibition (PPI) measurement. PPI of the two groups were analyzed via the variance and post hoc test. Logistic regression analysis for modified PPI as predictor to differentiate patients from healthy controls. Results There were differences in PSS?PPI between the two groups during 60 ms and 120 ms interstimulus interval (27.6 (14.2, 31.7) vs . 37.9 (26.5, 60.4), Z=-4.04, P<0.01; 28.8 (3.2, 39.6) vs . 40.4 (27.4, 53.0), Z=-3.15, P<0.01), and the effect size (Cohen’d) was 0.91 and 0.70, respectively. Logistic regression analysis with PSS?PPI as the classification predictor showed that diagnosis accuracy of PSS?PPI (60 ms and 120 ms) was 81.0% and 73.5% respectively. Conclusion There is a statistically significant deficit of PSS-PPI in patients compared with healthy controls with moderate to large effect sizes.

Objective To investigate the discrimination of first?episode schizophrenia patients and healthy people using a perceived spatial separation induced pre?pulse inhibition (PSS?PPI). Methods A total of 42 patients with first?episode schizophrenia and 38 healthy controls matched with gender, age, and education level were included. The Positive and Negative Syndrome Scale (PANSS) was used to assess psychopathological symptoms of the patients, all subjects underwent modified paradigm of prepulse inhibition (PPI) measurement. PPI of the two groups were analyzed via the variance and post hoc test. Logistic regression analysis for modified PPI as predictor to differentiate patients from healthy controls. Results There were differences in PSS?PPI between the two groups during 60 ms and 120 ms interstimulus interval (27.6 (14.2, 31.7) vs . 37.9 (26.5, 60.4), Z=-4.04, P<0.01; 28.8 (3.2, 39.6) vs . 40.4 (27.4, 53.0), Z=-3.15, P<0.01), and the effect size (Cohen’d) was 0.91 and 0.70, respectively. Logistic regression analysis with PSS?PPI as the classification predictor showed that diagnosis accuracy of PSS?PPI (60 ms and 120 ms) was 81.0% and 73.5% respectively. Conclusion There is a statistically significant deficit of PSS-PPI in patients compared with healthy controls with moderate to large effect sizes.