Network Neuroscience

Papers
(The H4-Index of Network Neuroscience is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Phase-dependent stimulation response is shaped by the brain’s dynamic functional connectivity106
Neural network embedding of functional microconnectome55
Cognitive abilities are associated with rapid dynamics of electrophysiological connectome states46
Increased sensitivity in identifying language-related functional connectivity using jackknife resampling analyses44
Interdependence patterns of multifrequency oscillations predict visuomotor behavior33
Brain rewiring during development: A comparative analysis of larval and adult Drosophila melanogaster connectomes32
Multimodal multilayer network centrality relates to executive functioning32
A gradient of hemisphere-specific dorsal to ventral processing routes in parieto-premotor networks29
Estimating measures of information processing during cognitive tasks using functional magnetic resonance imaging28
Spectral dynamic causal modeling: A didactic introduction and its relationship with functional connectivity27
Functional connectome fingerprinting across the lifespan26
Source-reconstructed EEG graph signal processing: Pitfalls and workarounds23
High-amplitude network co-fluctuations linked to variation in hormone concentrations over the menstrual cycle21
Spatiotemporal profiling of functional network overlapping modules in Alzheimer’s disease21
Effect of acute elevated magnesium on bursting activity and information-processing dynamics in cortical cultures21
Localization of the epileptogenic network from scalp EEG using a patient-specific whole-brain model20
Female 3xTg-AD mice demonstrate hyperexcitability phenotype of Alzheimer’s disease in structure-function and function-behavior relationships19
Network control theory applied to the human connectome: A study on variability and discriminability of fMRI connectomic features under normal and defective sensorineural conditions19
Unmixing the psychedelic connectome: Brain network traits of psilocybin19
An information-theoretic framework for conditional causality analysis of brain networks19
Segregation-to-integration transformation model of memory evolution19
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