Brain Network Analysis

Ask about this topic

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. Every route counts, but some count more: a max-plus view of the C. elegans brain

    Oct 27, 2026Emma Reyner-Fuentes, Sebastian Rudolph, Carmen Peláez-Moreno +1Brain Network AnalysisFunctional Connectivity

    Department of Signal Theory and Communications, University Carlos III of Madrid (UC3M), Leganés, Madrid, Spain. · Department of Signal Theory and Communications and Telematic Systems and Computation, University Rey Juan Carlos, Fuenlabrada, Madrid, Spain. · Computational Logic Group, Institute for Artificial Intelligence, Technische Universität Dresden, Dresden, Saxony, Germany.

  2. CFBrainAug: Modularity-Induced Counterfactual Brain Network Augmentation for Interpretable fMRI-based Autism Diagnosis

    Oct 23, 2026Yifan Qiao, Sheng LiCounterfactual Data AugmentationBrain Network Analysis

    University of Virginia, Charlottesville, VA, USA

  3. Reconstruction differences rival individual differences in the fly compass connectome and break trained circuit models

    Oct 21, 2026Md Ali Ashraf Yad, Nazifa Tabassum NabilaContinuous Attractor Neural NetworksBrain Network Analysis

    Wrocław University of Science and Technology · Comilla University

  4. A Connectome Test of the Fly Hashing Algorithm

    Oct 6, 2026Sebastian SengeDimensionality ReductionRandomized Sketching

    Independent Researcher

  5. Uncertainty Quantification Is Indispensable for Reliable Connectome-Based Graph Learning: A Narrative Review and Case Study

    Oct 6, 2026Mansooreh PakravanUncertainty QuantificationUncertainty Calibration

    Department of Electrical and Computer Engineering, Tarbiat Modares University, Al Ahmad Street, Tehran 111-14115, Iran

  6. CoHyFuse: Condition-wise Hypergraph Fusion with Global Connectome in Task-fMRI

    Oct 5, 2026Boseong Kim, Haejun Chung, Ikbeom JangFunctional ConnectivityNeuroimaging

    Hanyang University, Seoul, Republic of Korea · Hankuk University of Foreign Studies, Yongin, Republic of Korea

  7. Null-model treatment of the sensory-motor boundary changes an evolutionary connectome comparison

    Sep 30, 2026Gyujeong ParkBrain Network AnalysisNeuroevolution

    IonLabs

  8. BrainNet Studio: A Unified Toolkit for Brain Network Construction, Intelligent Analysis, and Visualization

    Sep 29, 2026Xiwei Zeng, Shengrong Li, Yiheng Liu +3Functional ConnectivityNeuroimaging

    College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China · School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

  9. Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis

    Sep 29, 2026Jingxi Feng, Xudong Chen, Yifan Zhang +5Medical DiagnosisInformation Bottleneck

  10. Deep Learning Methods in Neuroscience: From Modeling Molecular Mechanisms to Classifying States of Consciousness

    Sep 28, 2026Elena Benderskaya, Anastasiia Alifanova, Svetlana Batalova +2Functional ConnectivityBrain Network Analysis

    Peter the Great St. Petersburg Polytechnic University, Polytechnicheskaya, 29, 195251 St.Petersburg, Russia

  11. Beyond Site Agreement: Re-estimation for Brain Network Generalization

    Sep 28, 2026Yingxu Wang, Kunyu Zhang, Yanwu Yang3 +4Functional ConnectivityOOD Generalization

    Mohamed bin Zayed University of Artificial Intelligence · Zhengzhou University · University Hospital Tübingen +3

  12. FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model

    Sep 28, 2026Shucheng Liu, Changchun Shi, Kai Zhang +1Neural Surrogate ModelingFunctional Connectivity

    University of North Carolina at Chapel Hill · London School of Economics and Political Science

  13. Explainable Deep Learning of Resting-State Functional Connectomes Reveals Network Biomarkers of Adolescent Intelligence

    Sep 27, 2026Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1Explainable Artificial IntelligenceFunctional Connectivity

    School of Health and Rehabilitation Sciences, The University of Queensland, QLD 4072, Australia · Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh

  14. Beyond Gaussian Assumptions: Distribution-Aware Channel Capacity for Effective Connectivity

    Sep 26, 2026Jianan Jian, Jacob Kang, Nurahmed Multezem +2Brain Network Analysis

    Fischell Department of Bioengineering University of Maryland, College Park, MD, USA · Department of Electrical and Computer Engineering University of Maryland, College Park, MD, USA · Department of Computer Science University of Maryland, College Park, MD, USA +2

  15. Benchmarking the Connectomes of Caenorhabditis elegans within the Reservoir Computing Framework

    Sep 24, 2026Felix S. Reimers, Ola Huse Ramstad, Aliaksandr Hubin +1Brain Network AnalysisReservoir Computing

    Department of Computer Science and Communication, Østfold University College, Halden, 1757, Østfold, Norway. · Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, ˚As, 1432, Akershus, Norway. · Department of Mathematics, University of Oslo, Oslo, 0316, Oslo, Norway.

  16. Connectome-to-Function: Conditional Generative Latent Representations for Reservoir Computing

    Sep 5, 2026Zhuolin Yu, Xingyu Liu, Yuanhao Jia +4Graph Representation LearningGraph Generation

    National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China · School of Electronics Engineering and Computer Science, Peking University, Beijing, China · School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China +2

  17. Benchmarking External Generalization of SPD Matrix Learning for Resting-State fMRI Connectome Prediction

    Aug 31, 2026Ce Ju, Antoine Collas, Florent Bouchard +1Functional ConnectivityBrain Age Prediction

    Inria, CEA, Universit´e Paris-Saclay, Palaiseau, France · Universit´e Paris-Saclay, CNRS, CentraleSup´elec, L2S, France

  18. Multiscale Community-Based Fingerprinting of Signed Functional Networks

    Aug 25, 2026Sema Athamnah, Selin AviyenteBrain Network AnalysisNeuroimaging

    Department of Biomedical Engineering, Michigan State University, USA. · Department of Electrical and Computer Engineering, Michigan State University, USA.

  19. Graph-Based Approaches to Learning Epileptogenic Zone Localization Using Stereo-EEG Recordings

    Aug 19, 2026Daniel Wendelken, Brian Ervin, Ravindra Arya +1Graph Structure LearningBrain Network Analysis

    University of Cincinnati, Cincinnati, USA · Dept. of Computer Science University of Cincinnati Cincinnati, USA · Cincinnati Children's Hospital Medical Center, Cincinnati, USA +2

  20. Group ICA 2.0: Closing the Gap Between Subjects and Group Latent Decomposition with Copula-Linked Group ICA (CoLiG-ICA)

    Aug 17, 2026Oktay AgcaogluIndependent Component AnalysisBrain Network Analysis

    NEFI-Research, LLC

  21. A Control-Theoretic Formulation of Global Workspace Theory

    Aug 16, 2026Ryota KanaiCognitive ModelingBrain Network Analysis

    Araya Inc., Tokyo, Japan

  22. BrainLinear: A Linear Model for Brain Network Analysis in Sparse Tangent Subspaces

    Aug 15, 2026Sijing Wu, Dongyuan Li, Miaoting Huang +4Brain Network AnalysisFunctional Connectivity

    Guangdong University of Foreign Studies · The University of Tokyo · RIKEN AIP +1

  23. M-LINKX: Multiview Graph Learning for Brain Cognitive Disease Detection

    Aug 14, 2026An Phan, Yufei Jin, Xingquan ZhuElectroencephalographyMulti-View Learning

    Dept. of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA

  24. FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity

    Aug 7, 2026Deepank Girish, Yi Hao Chan, Yubin Zheng +2Tucker DecompositionFunctional Connectivity

    Nanyang Technological University · Shanghai Jiao Tong University · Indian Institute of Technology Ropar

  25. When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis

    Jul 24, 2026Jiaxing Li, Rui Dong, Muyao Tang +1LLM InterpretabilityLLM Agents

    School of Computer Science and Engineering, Southeast University

  26. Adaptive Multi-Expert Graph Transformer for Interpretable EEG-Based Diagnostics

    Jul 20, 2026Maryam Rahimimovassagh, Md Elias Hossain, Ivan Garibay +1ElectroencephalographyDynamic Graph Learning

    Department of Industrial Engineering and Management Systems University of Central Florida, Orlando, FL, USA

  27. Navigating Hierarchy: Hyperbolic Learning on Brain Graphs for Disorder Diagnosis

    Jul 8, 2026Yapeng Li, Bo Jiang, Ziyan Zhang +2Medical DiagnosisHierarchical Representation Learning

    School of Computer Science and Technology, Anhui University, 111 Jiulong Road, Hefei, 230601, China

  28. CLABTOOLKIT: An Open-Source Toolkit for Routine Processing, Manipulation, and Visualization of Neuroimaging Data

    Jul 2, 2026Yasser Alemán-Gómez, Nino Hervé, Patric HagmannNeuroimagingBrain Network Analysis

    Connectomics Lab, Department of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland · University of Lausanne (UNIL), Lausanne, Switzerland

  29. SABER: A Semantic-Aligned Brain Network Analysis Framework via Multi-scale Hypergraphs

    Jul 2, 2026Yidan Xu, Xiangmin Han, Rundong Xue +1Medical DiagnosisHypergraph Neural Networks

    Hangzhou Dianzi University, China · Tsinghua University, China · Xi’an Jiaotong University, China

  30. Progressive Self-Supervised Learning with Individualized Community Assignment for Brain Network Analysis

    Jun 29, 2026Hairui Chen, Yanwu Yang, Jianfeng Cao +3Self-Supervised LearningGraph SSL

    Harbin Institute of Technology at Shenzhen, Shenzhen, China · Peng Cheng Laboratory, Shenzhen, China · University of Tübingen, Tübingen, Germany +1