OOIR: Observatory of International Research

Papers

(The TQCC of Network Neuroscience is 6. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Dynamic expression of brain functional systems disclosed by fine-scale analysis of edge time series	54
Combining network topology and information theory to construct representative brain networks	49
Parcels and particles: Markov blankets in the brain	41
Graph convolutional network for fMRI analysis based on connectivity neighborhood	38
Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle	32
Multi-spatial-scale dynamic interactions between functional sources reveal sex-specific changes in schizophrenia	29
Allostasis as a core feature of hierarchical gradients in the human brain	28
Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices	27
Differential contributions of static and time-varying functional connectivity to human behavior	23
Edges in brain networks: Contributions to models of structure and function	22
Parcellation-induced variation of empirical and simulated brain connectomes at group and subject levels	21
Efficient coding in the economics of human brain connectomics	18
Predicting MEG resting-state functional connectivity from microstructural information	18
A unified approach for characterizing static/dynamic connectivity frequency profiles using filter banks	18
The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task	18
A natural cortical axis connecting the outside and inside of the human brain	17
Latent functional connectivity underlying multiple brain states	17
The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure	16
It’s about time: Linking dynamical systems with human neuroimaging to understand the brain	16
Multiscale dynamic mean field (MDMF) model relates resting-state brain dynamics with local cortical excitatory–inhibitory neurotransmitter homeostasis	15
Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity	15
Inferring network properties from time series using transfer entropy and mutual information: Validation of multivariate versus bivariate approaches	14
Gradients of connectivity as graph Fourier bases of brain activity	13
Effects of classic psychedelic drugs on turbulent signatures in brain dynamics	12
Unraveling reproducible dynamic states of individual brain functional parcellation	11

Multimodal multilayer network centrality relates to executive functioning	11
Structure-function coupling as a correlate and potential biomarker of cognitive impairment in multiple sclerosis	10
Exploratory factor analysis with structured residuals for brain network data	10
Dynamical interactions reconfigure the gradient of cortical timescales	10
Test-retest reliability of regression dynamic causal modeling	10
Normalizing the brain connectome for communication through synchronization	10
Applying multilayer analysis to morphological, structural, and functional brain networks to identify relevant dysfunction patterns	10
Spontaneous eye movements during eyes-open rest reduce resting-state-network modularity by increasing visual-sensorimotor connectivity	9
Braiding Braak and Braak: Staging patterns and model selection in network neurodegeneration	9
Toward an information theoretical description of communication in brain networks	9
Inferring excitation-inhibition dynamics using a maximum entropy model unifying brain structure and function	9
The arrow of time of brain signals in cognition: Potential intriguing role of parts of the default mode network	9
Network controllability mediates the relationship between rigid structure and flexible dynamics	9
Simplicial and topological descriptions of human brain dynamics	9
Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies	9
Persistence of information flow: A multiscale characterization of human brain	8
Theoretical foundations of studying criticality in the brain	8
Network-level permutation entropy of resting-state MEG recordings: A novel biomarker for early-stage Alzheimer’s disease?	8
Atypical core-periphery brain dynamics in autism	8
NeuMapper: A scalable computational framework for multiscale exploration of the brain’s dynamical organization	8
MRI network progression in mesial temporal lobe epilepsy related to healthy brain architecture	7
The missing role of gray matter in studying brain controllability	7
Thalamocortical contribution to flexible learning in neural systems	7
Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability	7
Controversies and progress on standardization of large-scale brain network nomenclature	7
More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism	7
Cytosolic PSD-95 interactor alters functional organization of neural circuits and AMPA receptor signaling independent of PSD-95 binding	6
Connectomic analysis of Alzheimer’s disease using percolation theory	6
Disruption of large-scale electrophysiological networks in stroke patients with visuospatial neglect	6
From calcium imaging to graph topology	6
Structure supports function: Informing directed and dynamic functional connectivity with anatomical priors	6
Computerized physical and cognitive training improves the functional architecture of the brain in adults with Down syndrome: A network science EEG study	6
Empirical evaluation of human fetal fMRI preprocessing steps	6
Exploring personalized structural connectomics for moderate to severe traumatic brain injury	6
Predicting longitudinal brain atrophy in Parkinson’s disease using a Susceptible-Infected-Removed agent-based model	6
Infant functional networks are modulated by state of consciousness and circadian rhythm	6
High-amplitude network co-fluctuations linked to variation in hormone concentrations over the menstrual cycle	6