The Experts below are selected from a list of 1827 Experts worldwide ranked by ideXlab platform
Fei Wang - One of the best experts on this subject based on the ideXlab platform.
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Increased Amygdala-Paracentral Lobule/Precuneus Functional Connectivity Associated With Patients With Mood Disorder and Suicidal Behavior.
Frontiers in human neuroscience, 2021Co-Authors: Ran Zhang, Pengshuo Wang, Yanqing Tang, Luheng Zhang, Shengnan Wei, Xiaowei Jiang, Fei WangAbstract:Mood disorder patients have greater suicide risk than members of the general population, but how suicidal behavior relates to brain functions has not been fully elucidated. This study investigated how functional connectivity (FC) values between the right/left amygdala and the whole brain relate to suicidal behavior in patients with mood disorder. The participants in this study were 100 mood disorder patients with suicidal behavior (SB group), 120 mood disorder patients with non-suicidal behavior (NSB group), and 138 age- and gender-matched healthy controls (HC group). Whole-brain FC values among the three groups were compared using an analysis of covariance (ANCOVA). Compared to the NSB and HC groups, increased FC values in the right amygdala-bilateral Paracentral Lobule/precuneus circuit were observed in the SB group (Bonferroni-corrected, p 0.017). Moreover, there were no significant differences in FC values between mood disorder patients with suicide attempt (SA group) and mood disorder patients with suicidal ideation (SI group), while the FC values between the right amygdala and bilateral Paracentral Lobule/precuneus in the SA group were higher than the mean in the SI group. These findings suggest that right amygdala-Paracentral Lobule/precuneus dysfunction has an important role in patients with mood disorder and suicidal behavior.
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increased amygdala Paracentral Lobule precuneus functional connectivity associated with patients with mood disorder and suicidal behavior
Frontiers in Human Neuroscience, 2021Co-Authors: Ran Zhang, Pengshuo Wang, Yanqing Tang, Luheng Zhang, Shengnan Wei, Xiaowei Jiang, Fei WangAbstract:Mood disorder patients have greater suicide risk than members of the general population, but how suicidal behavior relates to brain functions has not been fully elucidated. This study investigated how functional connectivity (FC) values between the right/left amygdala and the whole brain relate to suicidal behavior in patients with mood disorder. The participants in this study were 100 mood disorder patients with suicidal behavior (SB group), 120 mood disorder patients with non-suicidal behavior (NSB group), and 138 age- and gender-matched healthy controls (HC group). Whole-brain FC values among the three groups were compared using an analysis of covariance (ANCOVA). Compared to the NSB and HC groups, increased FC values in the right amygdala-bilateral Paracentral Lobule/precuneus circuit were observed in the SB group (Bonferroni-corrected, p 0.017). Moreover, there were no significant differences in FC values between mood disorder patients with suicide attempt (SA group) and mood disorder patients with suicidal ideation (SI group), while the FC values between the right amygdala and bilateral Paracentral Lobule/precuneus in the SA group were higher than the mean in the SI group. These findings suggest that right amygdala-Paracentral Lobule/precuneus dysfunction has an important role in patients with mood disorder and suicidal behavior.
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Changes in cerebellar functional connectivity and anatomical connectivity in schizophrenia: a combined resting-state functional MRI and diffusion tensor imaging study.
Journal of magnetic resonance imaging : JMRI, 2011Co-Authors: Hu Liu, Guoguang Fan, Fei WangAbstract:Purpose—To study the differences of functional connectivity and anatomical connectivity of the cerebellum between schizophrenic patients and normal controls by combining resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) method. Materials and Methods—Both fMRI during rest and DTI were performed on 10 patients and 10 healthy subjects at a GE 3.0 T Signa scanner. Resting-state functional connectivities of the bilateral cerebellum were separately analyzed by selecting seed regions in cerebellum. The integrity of white matter fiber in bilateral middle cerebellar peduncles (MCP) and superior cerebellar peduncles (SCP) was evaluated using fractional anisotropy (FA). Two sample t-test was used to detect differences between patients and normal controls, and correlation test was taken to analyze the correlation between the strength of functional connectivity and anatomical connectivity. Results—In patients with schizophrenia, the bilateral cerebellum showed reduced functional connectivities to some regions compared to controls, such as left middle temporal gyrus, bilateral middle cingulate cortex, right Paracentral Lobule, right thalamus, and bilateral cerebellum, and the FA of the left SCP was significantly reduced in patients. Meanwhile, There was significantly positive correlation between the connective strength of both the left cerebellum-right Paracentral Lobule connectivities and right cerebellum-right thalamus connectivities and the FA of the MCP within the control group. Conslusion—The multimodal imaging approaches presently used provide a new avenue to understand the role of cerebellum in the pathophysiology of schizophrenia. Meanwhile, the current findings of the functional disconnectivity and damaged anatomical connectivity between the cerrebullum and other regions in schizophrenia suggest that the functional–anatomical relationship need to be further investigated.
Renji Chen - One of the best experts on this subject based on the ideXlab platform.
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Support Vector Machine for Analyzing Contributions of Brain Regions During Task-State fMRI.
Frontiers in neuroinformatics, 2019Co-Authors: Mengyue Wang, Wenjing Zhang, Yonghao Wang, Yuan Feng, Ying Liang, Jing Wei, Xu Zhang, Renji ChenAbstract:The mainstream method used for the analysis of task functional Magnetic Resonance Imaging (fMRI) data, is to obtain task-related active brain regions based on generalized linear models. Machine learning as a data-driven technical method is increasingly used in fMRI data analysis. The language task data, including math task and story task, of the Human Connectome Project (HCP) was used in this work. We chose a linear support vector machine as a classifier to classify math and story tasks and compared them with the activated brain regions of a SPM statistical analysis. As a result, 13 of the 25 regions used for classification in SVM were activated regions, and 12 were non-activated regions. In particular, the right Paracentral Lobule and right Rolandic Operculum which belong to non-activated regions, contributed most to the classification. Therefore, the differences found in machine learning can provide a new understanding of the physiological mechanisms of brain regions under different tasks.
Ran Zhang - One of the best experts on this subject based on the ideXlab platform.
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increased amygdala Paracentral Lobule precuneus functional connectivity associated with patients with mood disorder and suicidal behavior
Frontiers in Human Neuroscience, 2021Co-Authors: Ran Zhang, Pengshuo Wang, Yanqing Tang, Luheng Zhang, Shengnan Wei, Xiaowei Jiang, Fei WangAbstract:Mood disorder patients have greater suicide risk than members of the general population, but how suicidal behavior relates to brain functions has not been fully elucidated. This study investigated how functional connectivity (FC) values between the right/left amygdala and the whole brain relate to suicidal behavior in patients with mood disorder. The participants in this study were 100 mood disorder patients with suicidal behavior (SB group), 120 mood disorder patients with non-suicidal behavior (NSB group), and 138 age- and gender-matched healthy controls (HC group). Whole-brain FC values among the three groups were compared using an analysis of covariance (ANCOVA). Compared to the NSB and HC groups, increased FC values in the right amygdala-bilateral Paracentral Lobule/precuneus circuit were observed in the SB group (Bonferroni-corrected, p 0.017). Moreover, there were no significant differences in FC values between mood disorder patients with suicide attempt (SA group) and mood disorder patients with suicidal ideation (SI group), while the FC values between the right amygdala and bilateral Paracentral Lobule/precuneus in the SA group were higher than the mean in the SI group. These findings suggest that right amygdala-Paracentral Lobule/precuneus dysfunction has an important role in patients with mood disorder and suicidal behavior.
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Increased Amygdala-Paracentral Lobule/Precuneus Functional Connectivity Associated With Patients With Mood Disorder and Suicidal Behavior.
Frontiers in human neuroscience, 2021Co-Authors: Ran Zhang, Pengshuo Wang, Yanqing Tang, Luheng Zhang, Shengnan Wei, Xiaowei Jiang, Fei WangAbstract:Mood disorder patients have greater suicide risk than members of the general population, but how suicidal behavior relates to brain functions has not been fully elucidated. This study investigated how functional connectivity (FC) values between the right/left amygdala and the whole brain relate to suicidal behavior in patients with mood disorder. The participants in this study were 100 mood disorder patients with suicidal behavior (SB group), 120 mood disorder patients with non-suicidal behavior (NSB group), and 138 age- and gender-matched healthy controls (HC group). Whole-brain FC values among the three groups were compared using an analysis of covariance (ANCOVA). Compared to the NSB and HC groups, increased FC values in the right amygdala-bilateral Paracentral Lobule/precuneus circuit were observed in the SB group (Bonferroni-corrected, p 0.017). Moreover, there were no significant differences in FC values between mood disorder patients with suicide attempt (SA group) and mood disorder patients with suicidal ideation (SI group), while the FC values between the right amygdala and bilateral Paracentral Lobule/precuneus in the SA group were higher than the mean in the SI group. These findings suggest that right amygdala-Paracentral Lobule/precuneus dysfunction has an important role in patients with mood disorder and suicidal behavior.
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Brain Impairment revealed by Multi-Modality MRI in Parkinson Disease
2020Co-Authors: Ran Zhang, Ping GongAbstract:Objective: To study the abnormal brain regions of patients with Parkinson9s disease (PD) using multimodality MRI to provide complementary information for early detection for PD. Methods: 27 patients with early PD and 25 normal aging volunteers were included in the study. Multimodality MRI data were acquired and processed to extract neuroimaging features to test the structural and functional changes using a two-sample t-test. Results: The changes of brain regions were disagreed for different modality MRI data between PD and normal ageing individuals. Nevertheless, the postcentral gyrus, precentral gyrus, lingual gyrus and Paracentral Lobule were significantly different for all three modalities. Conclusion: Multimodality MRI data can reflect the structural and functional changes of PD, and reveal the hidden information which is of great significance to assist early detection for PD.
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Amplitude of low-frequency fluctuation (ALFF) may be associated with cognitive impairment in schizophrenia: a correlation study
BMC psychiatry, 2019Co-Authors: Pengshuo Wang, Jian Yang, Zhiyang Yin, Jia Duan, Ran Zhang, Jiaze Sun, Luyu Liu, Xuemei ChenAbstract:Cognitive impairments are prominent in schizophrenia (SZ). Imaging studies have demonstrated that functional changes of several areas of the brain exist in SZ patients. The relationships between these two indexes are largely unexplored in SZ. The MATRICS Consensus Cognitive Battery (MCCB) was used to measure cognitive impairment in multi-dimensional cognitive fields of SZ patients. This study was conducted to explore the relationship between cognitive functional impairment and the amplitude of low-frequency fluctuation (ALFF) in SZ patients. A total of 104 participants (44 SZ patients and 60 age- and gender-matched healthy controls (HC)) were recruited for this study. The MCCB was used to assess cognitive function of the participants, while brain activity was assessed using the ALFF. The relationship between the MCCB and the ALFF was investigated by using a correlation analysis. There were significant differences between SZ patients and HC in MCCB total and domain scores as well as in ALFF results. The reduction of ALFF in the bilateral postcentral gyri and Paracentral Lobule in SZ patients has a negative correlation with the MCCB sub-test of symbol coding. These findings suggest that the reduction of ALFF in bilateral postcentral gyri and Paracentral Lobule may be related to cognitive impairment in SZ patients.
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Amplitude of low-frequency fluctuation (ALFF) may be associated with cognitive impairment in schizophrenia: a correlation study
BMC, 2019Co-Authors: Pengshuo Wang, Jian Yang, Zhiyang Yin, Jia Duan, Ran Zhang, Jiaze Sun, Luyu Liu, Xuemei ChenAbstract:Abstract Background Cognitive impairments are prominent in schizophrenia (SZ). Imaging studies have demonstrated that functional changes of several areas of the brain exist in SZ patients. The relationships between these two indexes are largely unexplored in SZ. The MATRICS Consensus Cognitive Battery (MCCB) was used to measure cognitive impairment in multi-dimensional cognitive fields of SZ patients. This study was conducted to explore the relationship between cognitive functional impairment and the amplitude of low-frequency fluctuation (ALFF) in SZ patients. Method A total of 104 participants (44 SZ patients and 60 age- and gender-matched healthy controls (HC)) were recruited for this study. The MCCB was used to assess cognitive function of the participants, while brain activity was assessed using the ALFF. The relationship between the MCCB and the ALFF was investigated by using a correlation analysis. Results There were significant differences between SZ patients and HC in MCCB total and domain scores as well as in ALFF results. The reduction of ALFF in the bilateral postcentral gyri and Paracentral Lobule in SZ patients has a negative correlation with the MCCB sub-test of symbol coding. Conclusion These findings suggest that the reduction of ALFF in bilateral postcentral gyri and Paracentral Lobule may be related to cognitive impairment in SZ patients
Mengyue Wang - One of the best experts on this subject based on the ideXlab platform.
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Support Vector Machine for Analyzing Contributions of Brain Regions During Task-State fMRI.
Frontiers in neuroinformatics, 2019Co-Authors: Mengyue Wang, Wenjing Zhang, Yonghao Wang, Yuan Feng, Ying Liang, Jing Wei, Xu Zhang, Renji ChenAbstract:The mainstream method used for the analysis of task functional Magnetic Resonance Imaging (fMRI) data, is to obtain task-related active brain regions based on generalized linear models. Machine learning as a data-driven technical method is increasingly used in fMRI data analysis. The language task data, including math task and story task, of the Human Connectome Project (HCP) was used in this work. We chose a linear support vector machine as a classifier to classify math and story tasks and compared them with the activated brain regions of a SPM statistical analysis. As a result, 13 of the 25 regions used for classification in SVM were activated regions, and 12 were non-activated regions. In particular, the right Paracentral Lobule and right Rolandic Operculum which belong to non-activated regions, contributed most to the classification. Therefore, the differences found in machine learning can provide a new understanding of the physiological mechanisms of brain regions under different tasks.
Yanqing Tang - One of the best experts on this subject based on the ideXlab platform.
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increased amygdala Paracentral Lobule precuneus functional connectivity associated with patients with mood disorder and suicidal behavior
Frontiers in Human Neuroscience, 2021Co-Authors: Ran Zhang, Pengshuo Wang, Yanqing Tang, Luheng Zhang, Shengnan Wei, Xiaowei Jiang, Fei WangAbstract:Mood disorder patients have greater suicide risk than members of the general population, but how suicidal behavior relates to brain functions has not been fully elucidated. This study investigated how functional connectivity (FC) values between the right/left amygdala and the whole brain relate to suicidal behavior in patients with mood disorder. The participants in this study were 100 mood disorder patients with suicidal behavior (SB group), 120 mood disorder patients with non-suicidal behavior (NSB group), and 138 age- and gender-matched healthy controls (HC group). Whole-brain FC values among the three groups were compared using an analysis of covariance (ANCOVA). Compared to the NSB and HC groups, increased FC values in the right amygdala-bilateral Paracentral Lobule/precuneus circuit were observed in the SB group (Bonferroni-corrected, p 0.017). Moreover, there were no significant differences in FC values between mood disorder patients with suicide attempt (SA group) and mood disorder patients with suicidal ideation (SI group), while the FC values between the right amygdala and bilateral Paracentral Lobule/precuneus in the SA group were higher than the mean in the SI group. These findings suggest that right amygdala-Paracentral Lobule/precuneus dysfunction has an important role in patients with mood disorder and suicidal behavior.
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Increased Amygdala-Paracentral Lobule/Precuneus Functional Connectivity Associated With Patients With Mood Disorder and Suicidal Behavior.
Frontiers in human neuroscience, 2021Co-Authors: Ran Zhang, Pengshuo Wang, Yanqing Tang, Luheng Zhang, Shengnan Wei, Xiaowei Jiang, Fei WangAbstract:Mood disorder patients have greater suicide risk than members of the general population, but how suicidal behavior relates to brain functions has not been fully elucidated. This study investigated how functional connectivity (FC) values between the right/left amygdala and the whole brain relate to suicidal behavior in patients with mood disorder. The participants in this study were 100 mood disorder patients with suicidal behavior (SB group), 120 mood disorder patients with non-suicidal behavior (NSB group), and 138 age- and gender-matched healthy controls (HC group). Whole-brain FC values among the three groups were compared using an analysis of covariance (ANCOVA). Compared to the NSB and HC groups, increased FC values in the right amygdala-bilateral Paracentral Lobule/precuneus circuit were observed in the SB group (Bonferroni-corrected, p 0.017). Moreover, there were no significant differences in FC values between mood disorder patients with suicide attempt (SA group) and mood disorder patients with suicidal ideation (SI group), while the FC values between the right amygdala and bilateral Paracentral Lobule/precuneus in the SA group were higher than the mean in the SI group. These findings suggest that right amygdala-Paracentral Lobule/precuneus dysfunction has an important role in patients with mood disorder and suicidal behavior.
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Voxel-Wise Brain-Wide Functional Connectivity Abnormalities in Patients with Primary Blepharospasm at Rest.
Neural plasticity, 2021Co-Authors: Pan Pan, Shubao Wei, Feng Liu, Wenyan Jiang, Yiwu Lei, Yanqing Tang, Wenbin GuoAbstract:Background Primary blepharospasm (BSP) is one of the most common focal dystonia and its pathophysiological mechanism remains unclear. An unbiased method was used in patients with BSP at rest to observe voxel-wise brain-wide functional connectivity (FC) changes. Method A total of 48 subjects, including 24 untreated patients with BSP and 24 healthy controls, were recruited to undergo functional magnetic resonance imaging (fMRI). The method of global-brain FC (GFC) was adopted to analyze the resting-state fMRI data. We designed the support vector machine (SVM) method to determine whether GFC abnormalities could be utilized to distinguish the patients from the controls. Results Relative to healthy controls, patients with BSP showed significantly decreased GFC in the bilateral superior medial prefrontal cortex/anterior cingulate cortex (MPFC/ACC) and increased GFC in the right postcentral gyrus/precentral gyrus/Paracentral Lobule, right superior frontal gyrus (SFG), and left Paracentral Lobule/supplement motor area (SMA), which were included in the default mode network (DMN) and sensorimotor network. SVM analysis showed that increased GFC values in the right postcentral gyrus/precentral gyrus/Paracentral Lobule could discriminate patients from controls with optimal accuracy, specificity, and sensitivity of 83.33%, 83.33%, and 83.33%, respectively. Conclusion This study suggested that abnormal GFC in the brain areas associated with sensorimotor network and DMN might underlie the pathophysiology of BSP, which provided a new perspective to understand BSP. GFC in the right postcentral gyrus/precentral gyrus/Paracentral Lobule might be utilized as a latent biomarker to differentiate patients with BSP from controls.
