Limin Peng

ORCID: 0000-0003-4273-0717
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • Immune Response and Inflammation
  • interferon and immune responses
  • Aquaculture disease management and microbiota
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Viral Infections and Vectors
  • Invertebrate Immune Response Mechanisms
  • Animal Genetics and Reproduction
  • Advanced Glycation End Products research
  • Memory and Neural Mechanisms
  • Cancer-related molecular mechanisms research
  • Migraine and Headache Studies
  • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
  • Sleep and Wakefulness Research
  • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • COVID-19 diagnosis using AI
  • Viral gastroenteritis research and epidemiology
  • Muscle Physiology and Disorders
  • Visual perception and processing mechanisms
  • Healthcare cost, quality, practices
  • Reproductive biology and impacts on aquatic species
  • Sexual Differentiation and Disorders

National University of Defense Technology
2018-2025

Chengdu Second People's Hospital
2024

Hong Kong Metropolitan University
2022

Stomatological Hospital of Chongqing Medical University
2021

Chongqing Medical University
2021

University of Chinese Academy of Sciences
2015-2018

Institute of Oceanology
2015-2018

Chinese Academy of Sciences
2016-2018

Qingdao National Laboratory for Marine Science and Technology
2015-2016

Northwest A&F University
2010-2014

Federated learning has shown its unique advantages in many different tasks, including brain image analysis. It provides a new way to train deep models while protecting the privacy of medical data from multiple sites. However, previous studies suggest that domain shift across sites may influence performance federated models. As solution, we propose gradient matching adaptation (GM-FedDA) method for classification, aiming reduce discrepancy with assistance public dataset and robust local...

10.1109/tnnls.2022.3223144 article EN IEEE Transactions on Neural Networks and Learning Systems 2022-11-28

Background Myxovirus resistance (Mx) proteins are crucial effectors of the innate antiviral response against a wide range viruses, mediated by type I interferon (IFN-I) signaling pathway. However, activity Mx is diverse and complicated in different species. Methodology/Principal Findings In current study, two novel genes (CiMx1 CiMx3) were identified grass carp (Ctenopharyngodon idella). CiMx1 CiMx3 exhibit high sequence identity (92.1%), low with CiMx2 (49.2% 49.5%, respectively) from...

10.1371/journal.pone.0052142 article EN cc-by PLoS ONE 2012-12-14

Background RIG-I (retinoic acid inducible gene-I) is one of the key cytosolic pattern recognition receptors (PRRs) for detecting nucleotide pathogen associated molecular patterns (PAMPs) and mediating induction type I interferon inflammatory cytokines in innate immune response. Though mechanism well characterized mammals, study accurate function teleosts still its infancy. Methodology/Principal Findings To clarify functional characterizations grass carp Ctenopharyngodon idella (CiRIG-I), six...

10.1371/journal.pone.0042182 article EN cc-by PLoS ONE 2012-07-31

It is now generally accepted that diabetes increases the risk for cognitive impairment, but precise mechanisms are poorly understood. In recent years, resting-state functional magnetic resonance imaging (rs-fMRI) increasingly used to investigate neural basis of dysfunction in type 2 (T2D) patients. Alterations brain connectivity may underlie diabetes-related and damage. The aim this study was changes default mode network (DMN) different glucose metabolism status duration. We a seed-based...

10.1016/j.nicl.2018.101629 article EN cc-by-nc-nd NeuroImage Clinical 2018-12-05

Early screening is essential for effective intervention and treatment of individuals with mental disorders. Functional magnetic resonance imaging (fMRI) a noninvasive tool depicting neural activity has demonstrated strong potential as technique identifying Due to the difficulty in data collection diagnosis, from patients are rare at single site, whereas abundant healthy control available public datasets. However, joint use these multiple sites classification model training hindered by...

10.1109/tpami.2021.3125686 article EN publisher-specific-oa IEEE Transactions on Pattern Analysis and Machine Intelligence 2021-11-08

The cognitive and behavioral functions of the human brain are supported by its frequency multiplexing mechanism. However, there is limited understanding dynamics functional network topology. This study aims to investigate frequency-specific topology using 7T rs-fMRI data. Frequency-specific parcellations were first performed, revealing frequency-dependent within frontoparietal control, parietal memory, visual networks. An intrinsic atlas containing 456 parcels was proposed validated...

10.1016/j.isci.2024.109206 article EN cc-by-nc-nd iScience 2024-02-19

Simple multiple kernel k-means (SMKKM) introduces a new minimization-maximization learning paradigm for multi-view clustering and makes remarkable achievements in some applications. As one of its variants, localized SMKKM (LSMKKM) is recently proposed to capture the variation among samples, focusing on reliable pairwise which should keep together cut off unreliable, farther ones. Though demonstrating effectiveness, we observe that LSMKKM indiscriminately utilizes each sample, resulting...

10.1109/tpami.2025.3573613 article EN IEEE Transactions on Pattern Analysis and Machine Intelligence 2025-01-01

Abstract Brain cartography has expanded substantially over the past decade. In this regard, resting-state functional connectivity (FC) plays a key role in identifying locations of putative borders. However, scant attention been paid to dynamic nature interactions human brain. Indeed, FC is typically assumed be stationary across time, which may obscure potential or subtle boundaries, particularly regions with high flexibility and adaptability. study, we developed (dFC)-based parcellation...

10.1093/cercor/bhac293 article EN Cerebral Cortex 2022-08-13

Objectives. According to myosatellite cell lines (MSCs) established in vitro from diploid and triploid flounder, we compared the characters of growth differentiation their MSCs. The results would be useful for learning muscle development mechanism teleosts. Materials Methods. skeletal cells olive flounder Paralichthys olivaceus were isolated cultured , respectively, characterized at morphology molecular level; meanwhile, performance these cells’ proliferation analyzed. Results. Two new...

10.7717/peerj.1519 article EN cc-by PeerJ 2016-01-05

Abstract Introduction As a major interface between the hippocampus and neocortex, entorhinal cortex (EC) is widely known to play pivotal role in spatial memory navigation. Previous studies have suggested that EC can be divided into anterior‐lateral (alEC) posterior‐medial subregions (pmEC), with former receiving object‐related information from perirhinal latter scene‐related parahippocampal cortex. However, functional connectivity maps of context extensive navigation experience remain...

10.1002/brb3.1022 article EN cc-by Brain and Behavior 2018-08-15

Abstract Objective To investigate the prevalence of neuroimaging in patients with primary headaches and clinician‐based rationale for requesting China. Data sources study setting This included admitted to hospitals clinicians We identified whether was requested types conducted. Study design a cross‐sectional study, convenience sampling used recruit headaches. Clinicians were interviewed using combination personal in‐depth topic‐selection group interviews explore why doctors neuroimaging....

10.1002/brb3.3583 article EN cc-by Brain and Behavior 2024-06-01
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