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Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement 期刊论文
CEREBRAL CORTEX, 2022, 页码: 18
作者:  Shi, Weiyang;  Fan, Lingzhong;  Wang, Haiyan;  Liu, Bing;  Li, Wen;  Li, Jin;  Cheng, Luqi;  Chu, Congying;  Song, Ming;  Sui, Jing;  Luo, Na;  Cui, Yue;  Dong, Zhenwei;  Lu, Yuheng;  Ma, Yawei;  Ma, Liang;  Li, Kaixin;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Lv, Luxian;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yan, Hao;  Yan, Jun;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi
Adobe PDF(4129Kb)  |  收藏  |  浏览/下载：470/155  |  提交时间：2022/09/19
schizophrenia  subtype  structural MRI  neuroimaging-clinic association analysis  neuroimaging-transcription association analysis  
Tract-specific white matter microstructural alterations in subjects with schizophrenia and unaffected first-degree relatives 期刊论文
BRAIN IMAGING AND BEHAVIOR, 2022, 页码: 10
作者:  Xie, Sangma;  Zhuo, Junjie;  Song, Ming;  Chu, Congying;  Cui, Yue;  Chen, Yunchun;  Wang, Huaning;  Li, Lihua;  Jiang, Tianzi
收藏  |  浏览/下载：246/0  |  提交时间：2022/07/25
Schizophrenia  Unaffected first-degree relatives  Genetic predisposition  White matter tracts  Probabilistic tractography  
Predicting Treatment Response in Schizophrenia With Magnetic Resonance Imaging and Polygenic Risk Score 期刊论文
FRONTIERS IN GENETICS, 2022, 卷号: 13, 页码: 11
作者:  Wang, Meng;  Hu, Ke;  Fan, Lingzhong;  Yan, Hao;  Li, Peng;  Jiang, Tianzi;  Liu, Bing
Adobe PDF(822Kb)  |  收藏  |  浏览/下载：364/112  |  提交时间：2022/06/06
schizophrenia  treatment prediction  XGBoost  polygenic risk score  magnetic resonance imaging  
Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score 期刊论文
NEUROIMAGE-CLINICAL, 2021, 卷号: 32, 页码: 9
作者:  Hu, Ke;  Wang, Meng;  Liu, Yong;  Yan, Hao;  Song, Ming;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Yang, Yongfeng;  Li, Peng;  Lu, Lin;  Yan, Jun;  Wang, Huiling;  Zhang, Hongxing;  Zhang, Dai;  Wu, Huawang;  Ning, Yuping;  Jiang, Tianzi;  Liu, Bing
收藏  |  浏览/下载：216/0  |  提交时间：2021/12/28
Schizophrenia  Classification  Structural magnetic resonance imaging  Gray matter volume  Polygenic risk score  Machine learning  
Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2020, 卷号: 341, 期号: 108756, 页码: 10
作者:  Zhao, Jianlong;  Huang, Jinjie;  Zhi, Dongmei;  Yan, Weizheng;  Ma, Xiaohong;  Yang, Xiao;  Li, Xianbin;  Ke, Qing;  Jiang, Tianzi;  Calhoun, Vince D.;  Sui, Jing
Adobe PDF(5325Kb)  |  收藏  |  浏览/下载：385/62  |  提交时间：2020/08/03
Resting-state fMRI  Generative adversarial networks (GAN)  Deep learning  Classification  Major depressive disorders  Schizophrenia  
Polygenic effects of schizophrenia on hippocampal grey matter volume and hippocampus-medial prefrontal cortex functional connectivity 期刊论文
BRITISH JOURNAL OF PSYCHIATRY, 2020, 卷号: 216, 期号: 5, 页码: 267-274
作者:  Liu, Shu;  Li, Ang;  Liu, Yong;  Yan, Hao;  Wang, Meng;  Sun, Yuqing;  Fan, Lingzhong;  Song, Ming;  Xu, Kaibin;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Yang, Yongfeng;  Li, Peng;  Lu, Lin;  Yan, Jun;  Wang, Huiling;  Zhang, Hongxing;  Wu, Huawang;  Ning, Yuping;  Zhang, Dai;  Jiang, Tianzi;  Liu, Bing
Adobe PDF(592Kb)  |  收藏  |  浏览/下载：429/82  |  提交时间：2020/06/22
Schizophrenia  polygenic risk score  hippocampus  grey matter volume  functional connectivity  
Predicting Individualized Clinical Measures by a Generalized Prediction Framework and Multimodal Fusion of MRI Data 期刊论文
NEUROIMAGE, 2017, 期号: 145, 页码: 218-229
作者:  Meng, Xing;  Jiang, Rongtao;  Lin, Dongdong;  Bustillo, Juan;  Jones, Thomas;  Chen, Jiayu;  Yu, Qingbao;  Du, Yuhui;  Zhang, Yu;  Jiang, Tianzi;  Sui, Jing;  Calhoun, Vince D.
浏览  |  Adobe PDF(1031Kb)  |  收藏  |  浏览/下载：281/97  |  提交时间：2020/06/15
Individualized prediction  Multimodal  MATRICS Consensus Cognitive Battery (MCCB)  Schizophrenia  MRI  Neuromarker  
Multimodal data revealed different neurobiological correlates of intelligence between males and females 期刊论文
BRAIN IMAGING AND BEHAVIOR, 2019, 卷号: 14, 期号: NA, 页码: 1-15
作者:  Jiang, Rongtao;  Calhoun, Vince D.;  Cui, Yue;  Qi, Shile;  Zhuo, Chuanjun;  Li, Jin;  Jung, Rex;  Yang, Jian;  Du, Yuhui;  Jiang, Tianzi;  Sui, Jing
浏览  |  Adobe PDF(3381Kb)  |  收藏  |  浏览/下载：259/79  |  提交时间：2020/06/13
Connectome-based predictive modeling  Gender difference  Individualized prediction  Intelligence quotient  Multimodal  
A neuroimaging biomarker for striatal dysfunction in schizophrenia 期刊论文
NATURE MEDICINE, 2020, 卷号: 26, 期号: 26, 页码: 27
作者:  Li, Ang;  Zalesky, Andrew;  Yue, Weihua;  Howes, Oliver;  Yan, Hao;  Liu, Yong;  Fan, Lingzhong;  Whitaker, Kirstie J.;  Xu, Kaibin;  Rao, Guangxiang;  Li, Jin;  Liu, Shu;  Wang, Meng;  Sun, Yuqing;  Song, Ming;  Li, Peng;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Liu, Wenming;  Li, Zhigang;  Yang, Yongfeng;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Lu, Lin;  Yan, Jun;  Song, Yuqing;  Wang, Huiling;  Zhang, Hongxing;  Wu, Huawang;  Ning, Yuping;  Du, Yuhui;  Cheng, Yuqi;  Xu, Jian;  Xu, Xiufeng;  Zhang, Dai;  Wang, Xiaoqun;  Jiang, Tianzi;  Liu, Bing
浏览  |  Adobe PDF(5512Kb)  |  收藏  |  浏览/下载：536/157  |  提交时间：2020/06/02
TREATMENT-RESISTANT SCHIZOPHRENIA,RESTING-STATE FMRI,FUNCTIONAL CONNECTIVITY,DOPAMINE HYPOTHESIS,GENE-EXPRESSION,NETWORK  
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data 期刊论文
EBIOMEDICINE, 2019, 卷号: 47, 页码: 543-552
作者:  Yan, Weizheng;  Calhoun, Vince;  Song, Ming;  Cui, Yue;  Yan, Hao;  Liu, Shengfeng;  Fan, Lingzhong;  Zuo, Nianming;  Yang, Zhengyi;  Xu, Kaibin;  Yan, Jun;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi;  Sui, Jing
Adobe PDF(2166Kb)  |  收藏  |  浏览/下载：407/66  |  提交时间：2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning