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FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 170, 页码: 107996
作者:  Yue Cui;  Haibin Huang;  Jialu Liu;  Mingyang Zhao;  Chengyi Li;  Xinyong Han;  Na Luo;  Jinquan Gao;  Dong-ming Yan;  Chen Zhang;  Tianzi Jiang;  Shan Yu
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：64/13  |  提交时间：2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
Multimodal Connectivity-based Individual Parcellation and Analysis for Humans and Rhesus Monkeys 期刊论文
IEEE Transactions on Medical Imaging, 2024, 页码: early access
作者:  Yue Cui;  Chengyi Li;  Yuheng Lu;  Liang Ma;  Luqi Cheng;  Long Cao;  Shan Yu;  Tianzi Jiang
Adobe PDF(3504Kb)  |  收藏  |  浏览/下载：55/1  |  提交时间：2024/06/05
Brain atlas  diffusion tractography  individual parcellation  multimodal fusion  resting-state functional connectivity  rhesus monkey  
Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression 期刊论文
JAMA Network Open, 2024, 卷号: 7, 期号: 3, 页码: 1
作者:  Xu, Ming;  Li, Xuemei;  Teng, Teng;  Huang, Yang;  Liu, Mengqi;  Long, Yicheng;  Lv, Fajin;  Zhi, Dongmei;  Li, Xiang;  Feng, Aichen;  Yu, Shan;  Calhoun, Vince;  Zhou, Xinyu;  Sui, Jing
Adobe PDF(4437Kb)  |  收藏  |  浏览/下载：83/27  |  提交时间：2024/05/28
The Effects of Low Dose Ketamine on Working Memory 期刊论文
PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2023, 卷号: 50, 期号: 3, 页码: 473-485
作者:  Zhao Zhi-Ping;  Nie Chuang;  Jiang Cheng-Teng;  Luo Wei-Wei;  Gu Jian-Wen;  Yu Shan
收藏  |  浏览/下载：121/0  |  提交时间：2023/11/17
low-dose  ketamine  working memory  NMDA receptors  acute effect  chronic effect  
MonkeyTrail: A scalable video-based method for tracking macaque movement trajectory in daily living cages 期刊论文
ZOOLOGICAL RESEARCH, 2022, 卷号: 43, 期号: 3, 页码: 343-351
作者:  Liu, Meng-Shi;  Gao, Jin-Quan;  Hu, Gu-Yue;  Hao, Guang-Fu;  Jiang, Tian-Zi;  Zhang, Chen;  Yu, Shan
Adobe PDF(8969Kb)  |  收藏  |  浏览/下载：325/27  |  提交时间：2022/07/25
Movement trajectory tracking  Video-based behavioral analyses  Background subtraction  Virtual empty background  Occlusion  
Anterior-Posterior Hippocampal Dynamics Support Working Memory Processing 期刊论文
JOURNAL OF NEUROSCIENCE, 2022, 卷号: 42, 期号: 3, 页码: 443-453
作者:  Li, Jin;  Cao, Dan;  Dimakopoulos, Vasileios;  Shi, Weiyang;  Yu, Shan;  Fan, Lingzhong;  Stieglitz, Lennart;  Imbach, Lukas;  Sarnthein, Johannes;  Jiang, Tianzi
Adobe PDF(1902Kb)  |  收藏  |  浏览/下载：339/63  |  提交时间：2022/03/17
hippocampus  intracranial EEG  longitudinal axis  working memory  
Changes in delta and theta oscillations in the brain indicate dynamic switching of attention between internal and external processing 会议论文
, Xi'an, China, May 21-23, 2021
作者:  Yuying Jiang;  Haoran Zhang;  Shan Yu
Adobe PDF(1016Kb)  |  收藏  |  浏览/下载：196/60  |  提交时间：2021/06/16
Changes of Effective Connectivity in the Alpha Band Characterize Differential Processing of Audiovisual Information in Cross-Modal Selective Attention 期刊论文
NEUROSCIENCE BULLETIN, 2020, 卷号: 36, 期号: 9, 页码: 1009-1022
作者:  Niu, Weikun;  Jiang, Yuying;  Zhang, Xin;  Jiang, Tianzi;  Zhang, Yujin;  Yu, Shan
Adobe PDF(3941Kb)  |  收藏  |  浏览/下载：287/0  |  提交时间：2020/08/24
Human EEG  Audiovisual selective attention  Granger Causality  Pattern classification  
Prognostic models for prolonged disorders of consciousness: an integrative review 期刊论文
CELLULAR AND MOLECULAR LIFE SCIENCES, 2020, 期号: 8, 页码: 17
作者:  Song, Ming;  Yang, Yi;  Yang, Zhengyi;  Cui, Yue;  Yu, Shan;  He, Jianghong;  Jiang, Tianzi
浏览  |  Adobe PDF(2724Kb)  |  收藏  |  浏览/下载：384/62  |  提交时间：2020/06/22
Disorders of consciousness  Prognostic model  Outcome  Conscious recovery  Prediction  
Pairwise Interactions among Brain Regions Organize Large-Scale Functional Connectivity during Execution of Various Tasks 期刊论文
NEUROSCIENCE, 2019, 卷号: 412, 页码: 190-206
作者:  Niu, Weikun;  Huang, Xuhui;  Xu, Kaibin;  Jiang, Tianzi;  Yu, Shan
Adobe PDF(7177Kb)  |  收藏  |  浏览/下载：436/76  |  提交时间：2019/12/16
task state fMRI  pairwise correlation  functional network  neural network model