OOIR: Observatory of International Research

Papers

(The TQCC of Network Neuroscience is 7. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Dynamic expression of brain functional systems disclosed by fine-scale analysis of edge time series	63
Combining network topology and information theory to construct representative brain networks	58
Parcels and particles: Markov blankets in the brain	47
Graph convolutional network for fMRI analysis based on connectivity neighborhood	44
Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle	36
Multi-spatial-scale dynamic interactions between functional sources reveal sex-specific changes in schizophrenia	36
Allostasis as a core feature of hierarchical gradients in the human brain	32
Controversies and progress on standardization of large-scale brain network nomenclature	27
Edges in brain networks: Contributions to models of structure and function	26
A unified approach for characterizing static/dynamic connectivity frequency profiles using filter banks	24
Differential contributions of static and time-varying functional connectivity to human behavior	23
Parcellation-induced variation of empirical and simulated brain connectomes at group and subject levels	23
Latent functional connectivity underlying multiple brain states	23
Efficient coding in the economics of human brain connectomics	21
It’s about time: Linking dynamical systems with human neuroimaging to understand the brain	21
The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task	20
A natural cortical axis connecting the outside and inside of the human brain	18
Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity	18
Predicting MEG resting-state functional connectivity from microstructural information	18
Gradients of connectivity as graph Fourier bases of brain activity	18
The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure	17
Inferring network properties from time series using transfer entropy and mutual information: Validation of multivariate versus bivariate approaches	16
Structure-function coupling as a correlate and potential biomarker of cognitive impairment in multiple sclerosis	16
Applying multilayer analysis to morphological, structural, and functional brain networks to identify relevant dysfunction patterns	16
Multiscale dynamic mean field (MDMF) model relates resting-state brain dynamics with local cortical excitatory–inhibitory neurotransmitter homeostasis	15

Effects of classic psychedelic drugs on turbulent signatures in brain dynamics	15
The arrow of time of brain signals in cognition: Potential intriguing role of parts of the default mode network	14
Multimodal multilayer network centrality relates to executive functioning	13
Braiding Braak and Braak: Staging patterns and model selection in network neurodegeneration	13
Dynamical interactions reconfigure the gradient of cortical timescales	12
Network-level permutation entropy of resting-state MEG recordings: A novel biomarker for early-stage Alzheimer’s disease?	11
Theoretical foundations of studying criticality in the brain	11
Test-retest reliability of regression dynamic causal modeling	11
Unraveling reproducible dynamic states of individual brain functional parcellation	11
Atypical core-periphery brain dynamics in autism	11
Simplicial and topological descriptions of human brain dynamics	11
Exploratory factor analysis with structured residuals for brain network data	11
Spontaneous eye movements during eyes-open rest reduce resting-state-network modularity by increasing visual-sensorimotor connectivity	11
High-amplitude network co-fluctuations linked to variation in hormone concentrations over the menstrual cycle	11
A morphospace of functional configuration to assess configural breadth based on brain functional networks	10
Network controllability mediates the relationship between rigid structure and flexible dynamics	10
Normalizing the brain connectome for communication through synchronization	10
Spectral dynamic causal modeling: A didactic introduction and its relationship with functional connectivity	10
NeuMapper: A scalable computational framework for multiscale exploration of the brain’s dynamical organization	9
More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism	9
Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies	9
Toward an information theoretical description of communication in brain networks	9
Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability	9
Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis	9
Inferring excitation-inhibition dynamics using a maximum entropy model unifying brain structure and function	9
Empirical evaluation of human fetal fMRI preprocessing steps	9
A regression framework for brain network distance metrics	8
Computerized physical and cognitive training improves the functional architecture of the brain in adults with Down syndrome: A network science EEG study	8
Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity	8
Forecasting brain activity based on models of spatiotemporal brain dynamics: A comparison of graph neural network architectures	8
The missing role of gray matter in studying brain controllability	7
Thalamocortical contribution to flexible learning in neural systems	7
Predicting longitudinal brain atrophy in Parkinson’s disease using a Susceptible-Infected-Removed agent-based model	7
Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics	7
Persistence of information flow: A multiscale characterization of human brain	7
Connectomic analysis of Alzheimer’s disease using percolation theory	7
Functional network antagonism and consciousness	7
Infant functional networks are modulated by state of consciousness and circadian rhythm	7
MRI network progression in mesial temporal lobe epilepsy related to healthy brain architecture	7
Improvements in task performance after practice are associated with scale-free dynamics of brain activity	7