Brain Network Analysis

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Overview

Brain network analysis represents brain regions or recording channels as nodes and their structural or functional connections as edges, using data such as MRI, fMRI, EEG, and intracranial recordings. Researchers use graph theory, dynamic network models, graph neural networks, hypergraphs, and multimodal learning to characterize connectivity and predict outcomes such as diagnosis, cognition, and disease progression. Current work increasingly explores individualized and higher-order networks, self-supervised and foundation models, and transfer across sites, atlases, and populations. A central challenge is ensuring that predictive features are reproducible and biologically meaningful despite confounds, dataset shifts, uncertain connectivity estimates, and limitations in model explanations.

Latest papers

CardsList

65 papers11 papers in the last four weeks, up 120% on the four weeks before. 0.1% of all new papers.

  1. Connectivity Estimation using Stochastic Graph Heat Modelling

    Jun 27, 2026Stephan Goerttler, Min Wu, Fei HeGraph Structure LearningNeuroimaging

    Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry CV1 5FB, UK · Institute for Infocomm Research, A*STAR, Singapore

  2. Sex-based Network-Specific Differences in Connectomes: A Krakencoder-Based Analysis

    Jun 15, 2026Vibhashree S H, Debanjali Bhattacharya, Vamshi Krishna Kancharla +1Functional ConnectivityNeuroimaging

    Centre for Brain Research, Indian Institute of Science, Bengaluru 560012, India · Dept. of Artificial Intelligence, Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bengaluru 560035, India

  3. Artemis: Anatomy-Resolved inTervention for Eliminating Multimodal NeuroImage confounderS

    Jun 10, 2026Siyuan Dai, Yang Du, Kun Zhao +6Graph Neural NetworksMultimodal Graph Learning

    Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA. · Department of Computer Science, University of Maryland, College Park, MD · Imaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA +2

  4. Vector Space of Cycles

    Jun 6, 2026Moo K. Chung, Anass B. El-Yaagoubi, Hernando OmbaoGraph Structure LearningBrain Network Analysis

    Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, Wisconsin, USA · Statistics Program, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

  5. SC-TauPath: A Structural Connectivity Attribution Framework for Mapping Tau Propagation Pathways in Alzheimer's Disease

    Jun 2, 2026Jing Zhang, Norman Scheel, Minheng Chen +5Alzheimer's DiseaseNeuroimaging

    University of Texas at Arlington, Arlington, TX, USA · Michigan State University, East Lansing, MI, USA · University of Texas Southwestern Medical Center, Dallas, TX, USA

  6. Learning Multi-Scale Hypergraph for High-Order Brain Connectivity Analysis

    Jun 2, 2026Jaeyoon Sim, Soojin Hwang, Seunghun Baek +2NeuroimagingHypergraph Learning

    Pohang University of Science and Technology (POSTECH), Pohang, South Korea · University of North Carolina at Chapel Hill, Chapel Hill, USA

  7. BrainDyn: A Sheaf Neural ODE for Forecasting and Generating Brain Dynamics

    May 19, 2026Siddharth Viswanath, Panayiotis Ketonis, Cassidy All +10Graph Neural NetworksSheaf Neural Networks

    Yale University · Boise State University · University of Wisconsin–Madison

  8. Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning

    May 13, 2026Leo Milecki, Qingyu Hu, Bahram Jafrasteh +2Representation LearningMasked Autoencoders

    Department of Radiology, Weill Cornell Medicine, New York, NY, USA. · School of Electrical and Computer Engineering, Cornell University and Cornell Tech, New York, NY, USA.

  9. Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis

    May 13, 2026Amjad Seyedi, Lifang He, Songlin Zhao +2Neural Network InterpretabilityMultimodal Graph Learning

    Dept. of Mathematics & Operational Research University of Mons, Mons, Belgium · Dept. of Computer Science & Engineering Lehigh University, Bethlehem, PA, USA · Dept. of Industrial & Systems Engineering Lehigh University, Bethlehem, PA, USA

  10. Learning beyond Site Bias for OOD Generalization in Brain Networks

    May 7, 2026Yingxu Wang, Kunyu Zhang, Yanwu Yang +5Functional ConnectivityDomain Generalization

    Zhengzhou University · City University of Hong Kong

  11. Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity

    Apr 23, 2026Deepank Girish, Yi Hao Chan, Sukrit Gupta +2Medical Imaging Foundation ModelsFunctional Connectivity

    College of Computing and Data Science, Nanyang Technological University, Singapore

  12. Modeling Higher-Order Brain Interactions via a Multi-View Information Bottleneck Framework for fMRI-based Psychiatric Diagnosis

    Apr 20, 2026Kunyu Zhang, Qiang Li, Vince D. Calhoun +1Functional ConnectivityMulti-View Learning

    Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands · Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA · Department of Physics and Technology, UiT - The Arctic University of Norway, Tromsø, 9019, Norway

  13. Topological Sensitivity in Connectome-Constrained Neural Networks

    Apr 5, 2026Nalin DhimanBrain Network AnalysisNeural Network Training Dynamics

    School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, India

  14. M3D-BFS: a Multi-stage Dynamic Fusion Strategy for Sample-Adaptive Multi-Modal Brain Network Analysis

    Apr 2, 2026Rui Dong, Xiaotong Zhang, Jiaxing Li +3Multimodal FusionBrain Network Analysis

    School of Computer Science and Engineering, Southeast University

  15. Optimizing EEG Graph Structure for Seizure Detection: An Information Bottleneck and Self-Supervised Learning Approach

    Apr 2, 2026Lincan Li, Rikuto Kotoge, Xihao Piao +2EEG Seizure DetectionGraph Structure Learning

    Department of Computer Science, Florida State University, Tallahassee, USA · SANKEN, The University of Osaka, Ibaraki, Japan

  16. BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis

    Apr 1, 2026Rui Dong, Zitong Wang, Jiaxing Li +2Brain Network AnalysisGraph Neural Networks

    School of Computer Science and Engineering, Southeast University

  17. Learning Structural-Functional Brain Representations through Multi-Scale Adaptive Graph Attention for Cognitive Insight

    Mar 31, 2026Badhan Mazumder, Sir-Lord Wiafe, Aline Kotoski +2Brain Network AnalysisMultimodal Graph Learning

    Department of Computer Science, Georgia State University · Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University · Neuroscience Institute, Georgia State University

  18. Decoding Functional Networks for Visual Categories via GNNs

    Mar 30, 2026Shira Karmi, Galia Avidan, Tammy Riklin RavivVisual NeurosciencefMRI-Based Visual Decoding

    The School of Electrical and Computer Engineering, Ben-Gurion University of the Negev · The School of Brain Sciences and Cognition, Ben-Gurion University of the Negev · Psychology Department, Ben-Gurion University of the Negev

  19. Graph Attention Network-Based Detection of Autism Spectrum Disorder

    Mar 27, 2026Abigail Kelly, Ramchandra Rimal, Arpan SainjuAutism Spectrum DisorderBrain Network Analysis

    Computational and Data Science, Middle Tennessee State University, 1301 E. Main St., Murfreesboro, 37132, TN, USA. · Department of Mathematical Sciences, Middle Tennessee State University, 1301 E. Main St., Murfreesboro, 37132, TN, USA.

  20. Hierarchical Multiscale Structure-Function Coupling for Brain Connectome Integration

    Mar 21, 2026Jianwei Chen, Zhengyang Miao, Wenjie Cai +10Brain Network AnalysisNeuroimaging

    School of Medicine, University of Dundee, UK · College of Medicine and Biological Information Engineering, Northeastern University, China · School of Airspace Science and Engineering, Shandong University, China +5

  21. Toward a Multi-View Brain Network Foundation Model: Cross-View Consistency Learning Across Arbitrary Atlases

    Mar 20, 2026Jiaxing Xu, Jingying Ma, Xin Lin +7fMRI Foundation ModelsBrain Network Analysis

    Saw Swee Hock School of Public Health at National University of Singapore, Singapore · School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China · College of Computing and Data Science, Nanyang Technological University, Singapore +4

  22. Recovering Sparse Neural Connectivity from Partial Measurements: A Covariance-Based Approach with Granger-Causality Refinement

    Mar 19, 2026Quilee SimeonBrain Network AnalysisSparse Recovery

    Massachusetts Institute of Technology

  23. Analytically tractable model of synaptic crowding explains emergent small-world structure and network dynamics

    Mar 16, 2026Makoto FukushimaBrain Network Analysis

    Department of Physics, Waseda University, Tokyo, Japan · Current address: Honda Research Institute Japan, Wako, Saitama, Japan

  24. Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning

    Mar 13, 2026Siyu Liu, Guangqi Wen, Peng Cao +4Brain Network AnalysisFunctional Connectivity

    Computer Science and Engineering, Northeastern University, Shenyang, China · Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China · School of Computer Science and Artificial Intelligence, Shandong Normal University, Jinan, China +5

  25. BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling

    Mar 10, 2026Guiliang Guo, Guangqi Wen, Lingwen Liu +6Dynamic Functional ConnectivityBrain Network Analysis

    Computer Science and Engineering, Northeastern University, Shenyang, China · School of Computer Science and Artificial Intelligence, Shandong Normal University, Jinan, China · Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Fukuoka, Japan +3

  26. Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis

    Mar 10, 2026Jingfeng Tang, Peng Cao, Guangqi Wen +3Brain Disorder ClassificationBrain Network Analysis

    Computer Science and Engineering, Northeastern University, Shenyang, China · School of Computer Science and Artificial Intelligence, Shandong Normal University, Jinan, China · AiShiWeiLai AI Research, Beijing, China +1

  27. Neural Dynamics-Informed Pre-trained Framework for Personalized Brain Functional Network Construction

    Mar 8, 2026Hongjie Jiang, Yifei Tang, Shuqiang WangBrain Network AnalysisFunctional Connectivity

    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

  28. Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior

    Mar 5, 2026Eva Yezerets, En Yang, Misha B. Ahrens +1Latent Dynamics ModelingDynamical Systems

    Department of Biomedical Engineering Center for Imaging Science Johns Hopkins University · Department of Biology University of North Carolina · Janelia Research Campus Howard Hughes Medical Institute

  29. FCN-LLM: Empower LLM for Brain Functional Connectivity Network Understanding via Graph-level Multi-task Instruction Tuning

    Mar 1, 2026Xingcan Hu, Wei Wang, Li XiaoBrain Network AnalysisFunctional Connectivity

    University of Science and Technology of China

  30. Interpretable Cross-Network Attention for Resting-State fMRI Representation Learning

    Feb 28, 2026Karanpartap Singh, Adam Turnbull, Mohammad Abbasi +3Brain Network AnalysisFunctional Connectivity

    Stanford University, Stanford, CA 94305