Author

Le Li

Beijing Language and Culture University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

Click to filter author papers

Neuroscience· 6 Ecology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 7 Approach:statistical model· 6 Assay:imaging· 5 Research Focus:differential expression· 3 Approach:experimental assay· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Chao‐Gan YaniD· 6 shared Xiao CheniD· 5 shared Ning-Xuan Chen· 4 shared Bin LuiD· 3 shared Zhen FaniD· 3 shared F. Xavier CastellanosiD· 2 shared Hong YangiD· 2 shared Zhi-Chen Zhu· 2 shared

Activity by Year

2019-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

6 shared papersNeuroscience

Chao‐Gan YanORCID

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Hepatocyte FGFR2 Mediates the Antifibrotic Effects of FGF10 in Advanced Liver Fibrosis.

Xuanxin Yang, Bingjie Yu, Jiaying Ma, Yawei Yan, Huan Wang, Qingqing Dong, Shuangyan Peng, Qiqi Wu, Tingting Zhang, Panyu Zhang, Zelong Jiang, Chao Lü, Le Li, Xinyi You, Yuandong Xu, , Xiaojie Wang

This study identifies the hepatocyte FGF10-FGFR2 axis as a negative regulator of fibrogenesis, showing it can attenuate and reverse advanced liver fibrosis.

bioRxiv · Nov 18, 2025 · PreprintPharmacology & Toxicology

Coordination of flux-related leaf and root traits impacts forest community assembly

Zeqing Ma, Mengcheng Duan, Lawren Sack, Chengen Ma, Le Li, Michael McCormack, Mingzhen Lu, Dali Guo

The paper measures leaf and root traits in woody species to assess coordination and its impact on community structure, finding coordination of hydraulic traits and associations with ectomycorrhizal symbiosis and dominance.

bioRxiv · Nov 25, 2024 · PreprintEcology

A Practical Alzheimer Disease Classifier via Brain Imaging-Based Deep Learning on 85,721 Samples

Bin Lu, Huixian Li, Zhikai Chang, Le Li, Ning-Xuan Chen, Zhi-Chen Zhu, Huixia Zhou, Xueying Li, Yuwei Wang, Shi‐Xian Cui, Zhao‐Yu Deng, Zhen Fan, Hong Yang, Xiao Chen, Paul M. Thompson, , the Alzheimer’s Disease Neuroimaging Initiative

This paper develops a deep learning classifier for Alzheimer's disease using brain MRI data from 85,721 scans, achieving high accuracy across multiple independent datasets.

Journal Of Big Data · Oct 13, 2022Peer-reviewedNeuroscience

The Contribution of Brain Structural and Functional Variance in Predicting Age, Sex and Treatment

Ning-Xuan Chen, Gui Cui Fu, Xiao Chen, Le Li, Michael Peter Milham, Su Lui, Chao‐Gan Yan

This study compares the predictive power of brain structural and functional metrics for age, sex, and schizophrenia treatment outcomes using variance partitioning and permutation tests.

Neuroimage Reports · Jun 1, 2021Peer-reviewedNeuroscience

The Subsystem Mechanism of Default Mode Network Underlying Rumination: a Reproducible Neuroimaging Study

Xiao Chen, Ning-Xuan Chen, Yangqian Shen, Huixian Li, Le Li, Bin Lu, Zhi-Chen Zhu, Zhen Fan, Chao‐Gan Yan

This study investigates the subsystem mechanism of the default mode network (DMN) underlying rumination using neuroimaging data from healthy participants.

NeuroImage · Jul 22, 2020Peer-reviewedNeuroscience

Stability of dynamic functional architecture differs between brain networks and states

Le Li, Bin Lu, Chao‐Gan Yan

The paper examines the stability of dynamic functional connectivity in different brain regions and states, finding that higher-order networks show greater stability than primary sensory-motor areas during resting and movie watching.

NeuroImage · Sep 29, 2019Peer-reviewedNeuroscience

Reduced Default Mode Network Functional Connectivity in Patients with Recurrent Major Depressive Disorder

Chao‐Gan Yan, Xiao Chen, Le Li, F. Xavier Castellanos, Tongjian Bai, Qijing Bo, Jun Cao, Guanmao Chen, Ning-Xuan Chen, Wei Chen, Cheng Chang, Yuqi Cheng, Xilong Cui, Jia Duan, Yiru Fang, , Yu‐Feng Zang

The paper analyzes resting-state fMRI data from 1,300 MDD patients and 1,128 controls to find reduced default mode network functional connectivity in recurrent MDD, not first-episode MDD.

Proceedings of the National Academy of Sciences · Apr 12, 2019Peer-reviewedNeuroscience

Physiological Significance of R-fMRI Indices: Can Functional Metrics Differentiate Structural Lesions (Brain Tumors)?

Zhen Fan, Xiao Chen, Zengxin Qi, Le Li, Bin Lu, Conglin Jiang, Renqing Zhu, Chao‐Gan Yan, Liang Chen

This study evaluates whether R-fMRI indices can differentiate brain tumors from normal tissue and finds that ALFF and VMHC, with Z-standardization, are effective in this task.

NeuroImage Clinical · Jan 1, 2019Peer-reviewedNeuroscience