Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
2017/07/18 by Alexander Schaefer, Ru Kong, Evan M Gordon +5 · 48 citations
paper · doi:10.1093/cercor/bhx179
Cited by
- Multi-Task Batteries for Precision Functional Mapping
- The neuroimaging correlates of depression established across six large-scale population datasets
- Structure-function coupling of large-scale cortical networks across the lifespan is spectrally specific
- Life experiences of humiliation, entrapment, and frontoparietal-cerebellar connectivity predict adolescent anxiety and depression symptoms
- Quantifying the compressibility of the human brain
- Energy Approach from ε-Graph to Continuum Diffusion Model with Connectivity Functional
- Auditory Cortical Gradients Integrate Bottom-Up and Top-Down Structure During Natural Sound Categorisation
- In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain
- Joint modeling and inference of multiple-subject high-dimensional sparse vector autoregressive models
- Scaling Vision Transformers for Functional MRI with Flat Maps
- Disentangling Neurodegeneration with Brain Age Gap Prediction Models: A Graph Signal Processing Perspective
- Stacked Regression using Off-the-shelf, Stimulus-tuned and Fine-tuned Neural Networks for Predicting fMRI Brain Responses to Movies (Algonauts 2025 Report)
- Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints
- Topological Signal Processing Over Cell MultiComplexes Via Cross-Laplacian Operators
- Spatial Bias in Lesion Network Mapping Is Connectome-Independent
- Improving Multimodal Brain Encoding Model with Dynamic Subject-awareness Routing
- spd-metrics-id: A Python Package for SPD-Aware Distance Metrics in Connectome Fingerprinting and Beyond
- Brain functional connectivity, but not neuroanatomy, captures the interrelationship between sex and gender in preadolescents
- A systematic comparison of ATN biomarkers for monitoring longitudinal cognitive changes in Alzheimer's disease
- Atlas-free Brain Network Transformer
- Low intensity transcranial electric stimulation: Safety, ethical, legal regulatory and application guidelines (2017–2025: An update) – endorsed by the European Society for Brain Stimulation (ESBS) and by the International Federation for Clinical Neurophysiology (IFCN)
- Reproducibility of fNIRS within subject for visual and motor tasks
- Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens
- Towards Interpretable Visual Decoding with Attention to Brain Representations
- Investigating the methodological foundation of lesion network mapping
- An international mega-analysis of psychedelic drug effects on brain circuit function
- Mapping the spatiotemporal continuum of structural connectivity development across the human connectome in youth
- Cortical and Subcortical Signatures of Incentive Salience Attribution in Tobacco Use Disorder
- Functional hierarchy of the human neocortex across the lifespan
- Probabilistic Cognitive State Modeling (PCSM): Decoding Latent Spatiotemporal Dynamics to Reveal Serial-Parallel Processing, Cognitive Demand, and Serial Bottleneck in Task-Based fMRI
- Exploring aperiodic, complexity and entropic brain changes during non-ordinary states of consciousness
- Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health
- Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model
- DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases
- Distinct weak asymmetric interactions shape human brain functions as probability fluxes
- Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction
- Estimating Covariate Effects on Functional Connectivity using Voxel-Level fMRI Data
- BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation
- Linking individual behavioral architecture to brain topological structure: A combined network analysis approach
- Probabilistic Cognitive State Modeling (PCSM): Decoding dynamic brain states to derive emergent cognitive processing properties from task fMRI
- Developmental variations in recurrent spatiotemporal brain propagations from childhood to adulthood
- Random Effects Models for Understanding Variability and Association between Brain Functional and Structural Connectivity
- Patterns of imbalance states between sub-brain regimes during development in the resting state
- Whole-brain Transferable Representations from Large-Scale fMRI Data Improve Task-Evoked Brain Activity Decoding
- Alpha-Z divergence unveils further distinct phenotypic traits of human brain connectivity fingerprint
- TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
- GDAIP: A Graph-Based Domain Adaptive Framework for Individual Brain Parcellation
- Measuring Dependencies between Biological Signals with Self-supervision, and its Limitations