Papers Functional Connectivity
“Functional Connectivity” 태그가 달린 논문 460편 · 필터 해제
A Linear Generative Framework for Structure-Function Coupling in the Human Brain
Brain function emerges from coordinated activity across anatomically connected regions, where structural connectivity (SC) -- the network of white matter pathways - provides the physical substrate for functional connecti…
Functional ConnectivityFunctional Architecture of the Human Hypothalamus: Cortical Coupling and Subregional Organization Using 7-Tesla fMRI
The hypothalamus plays an important role in the regulation of the bodys metabolic state and behaviors related to survival. Despite its importance however, many questions exist regarding the intrinsic and extrinsic connec…
Functional ConnectivityProbing Neural Topology of Large Language Models
Probing large language models (LLMs) has yielded valuable insights into their internal mechanisms by linking neural representations to interpretable semantics. However, how neurons functionally co-activate with each othe…
Functional ConnectivityGraph MatchingText GenerationWeak but influential: Nonlinear contributions of structural connectivity to human cognitive abilities and brain functions
Diverse human cognitive abilities are rooted in brain structural connectivity which has weights spanning several orders of magnitude. However, due to false-positive challenges in tractography, weak connectivity has been …
Functional ConnectivityDual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG
Accurately localizing the brain regions that triggers seizures and predicting whether a patient will be seizure-free after surgery are vital for surgical planning and patient management in drug-resistant epilepsy. Stereo…
EEGFeature ImportanceFunctional ConnectivityGraph Neural NetworkPhysics-Guided Multi-View Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling
Clinical studies reveal disruptions in brain structural connectivity (SC) and functional connectivity (FC) in neuropsychiatric disorders such as schizophrenia (SZ). Traditional approaches might rely solely on SC due to l…
Functional ConnectivityGraph Neural NetworkRiemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry
Generating realistic brain connectivity matrices is key to analyzing population heterogeneity in brain organization, understanding disease, and augmenting data in challenging classification problems. Functional connectiv…
EEGFunctional ConnectivityMotor ImageryLearning High-Order Relationships with Hypergraph Attention-based Spatio-Temporal Aggregation for Brain Disease Analysis
Traditional functional connectivity based on functional magnetic resonance imaging (fMRI) can only capture pairwise interactions between brain regions. Hypergraphs, which reveal high-order relationships among multiple br…
Functional ConnectivityThe classification of Alzheimer's disease and mild cognitive impairment improved by dynamic functional network analysis
Brain network analysis using functional MRI has advanced our understanding of cortical activity and its changes in neurodegenerative disorders that cause dementia. Recently, research in brain connectivity has focused on …
Functional ConnectivityFrequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
Data-driven approaches for depression diagnosis have emerged as a significant research focus in neuromedicine, driven by the development of relevant datasets. Recently, graph neural network (GNN)-based models have gained…
DiagnosticFunctional ConnectivityGraph Neural NetworkEdge-boosted graph learning for functional brain connectivity analysis
Predicting disease states from functional brain connectivity is critical for the early diagnosis of severe neurodegenerative diseases such as Alzheimer's Disease and Parkinson's Disease. Existing studies commonly employ …
Functional ConnectivityGraph LearningLearning Higher-Order Interactions in Brain Networks via Topological Signal Processing
Our goal in this paper is to leverage the potential of the topological signal processing (TSP) framework for analyzing brain networks. Representing brain data as signals over simplicial complexes allows us to capture hig…
Functional ConnectivityResting State Functional Connectivity Patterns Associate with Alcohol Use Disorder Characteristics: Insights from the Triple Network Model
Prolonged alcohol use results in neuroadaptations that mark more severe and treatment-resistant alcohol use. The goal of this study was to identify functional connectivity brain patterns underlying Alcohol Use Disorder (…
Functional ConnectivityBrain Age Group Classification Based on Resting State Functional Connectivity Metrics
This study investigated age-related changes in functional connectivity using resting-state fMRI and explored the efficacy of traditional deep learning for classifying brain developmental stages (BDS). Functional connecti…
ClusteringFunctional ConnectivityCore-Periphery Principle Guided State Space Model for Functional Connectome Classification
Understanding the organization of human brain networks has become a central focus in neuroscience, particularly in the study of functional connectivity, which plays a crucial role in diagnosing neurological disorders. Ad…
Functional ConnectivityMambaMixture-of-ExpertsRepresentation LearningMultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages
3D neuroimages provide a comprehensive view of brain structure and function, aiding in precise localization and functional connectivity analysis. Segmentation of white matter (WM) tracts using 3D neuroimages is vital for…
Class-Incremental Semantic SegmentationFunctional ConnectivitySegmentationSemantic SegmentationTReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation
Precise parcellation of functional networks (FNs) of early developing human brain is the fundamental basis for identifying biomarker of developmental disorders and understanding functional development. Resting-state fMRI…
Functional ConnectivityFoundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction
Neuropathic pain, affecting up to 10% of adults, remains difficult to treat due to limited therapeutic efficacy and tolerability. Although resting-state functional MRI (rs-fMRI) is a promising non-invasive measurement of…
Drug Response PredictionFunctional ConnectivityTransfer LearningNeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
Mental disorders are among the most widespread diseases globally. Analyzing functional brain networks through functional magnetic resonance imaging (fMRI) is crucial for understanding mental disorder behaviors. Although …
Functional ConnectivityLattice-Based Pruning in Recurrent Neural Networks via Poset Modeling
Recurrent neural networks (RNNs) are central to sequence modeling tasks, yet their high computational complexity poses challenges for scalability and real-time deployment. Traditional pruning techniques, predominantly ba…
Functional Connectivity