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Characterising group-level brain connectivity: a framework using Bayesian exponential random graph models

https://doi.org/10.1101/665398
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/hbm.23653openalex-snapshot
Challenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging
inferredcites →https://doi.org/10.1006/nimg.2001.0978openalex-snapshot
Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
inferredcites →https://doi.org/10.1016/j.neurobiolaging.2014.04.007openalex-snapshot
Changes in whole-brain functional networks and memory performance in aging
inferredcites →https://doi.org/10.1016/j.neuroimage.2012.01.071openalex-snapshot
An exponential random graph modeling approach to creating group-based representative whole-brain connectivity networks
inferredcites →https://doi.org/10.1016/j.neuroimage.2014.03.012openalex-snapshot
A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series
inferredcites →https://doi.org/10.1016/j.neuroimage.2015.09.018openalex-snapshot
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample
inferredcites →https://doi.org/10.1016/j.neuroimage.2016.04.066openalex-snapshot
Bayesian exponential random graph modeling of whole-brain structural networks across lifespan
inferredcites →https://doi.org/10.1016/j.neuroimage.2017.02.005openalex-snapshot
Proportional thresholding in resting-state fMRI functional connectivity networks and consequences for patient-control connectome studies: Issues and recommendations
inferredcites →https://doi.org/10.1016/j.socnet.2006.08.002openalex-snapshot
An introduction to exponential random graph (p*) models for social networks
inferredcites →https://doi.org/10.1016/j.socnet.2006.08.003openalex-snapshot
Recent developments in exponential random graph (p*) models for social networks
inferredcites →https://doi.org/10.1016/j.socnet.2006.08.005openalex-snapshot
Curved exponential family models for social networks
inferredcites →https://doi.org/10.1016/j.socnet.2010.09.004openalex-snapshot
Bayesian inference for exponential random graph models
inferredcites →https://doi.org/10.1016/j.socnet.2012.10.003openalex-snapshot
Bayesian model selection for exponential random graph models
inferredcites →https://doi.org/10.1016/j.socnet.2013.07.003openalex-snapshot
Bayesian analysis for partially observed network data, missing ties, attributes and actors
inferredcites →https://doi.org/10.1016/j.socnet.2016.01.002openalex-snapshot
Bayesian exponential random graph models with nodal random effects
inferredcites →https://doi.org/10.1016/j.socnet.2017.03.013openalex-snapshot
Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution
inferredcites →https://doi.org/10.1038/nrn2575openalex-snapshot
Complex brain networks: graph theoretical analysis of structural and functional systems
inferredcites →https://doi.org/10.1080/10618600.2018.1448832openalex-snapshot
Bayesian Model Selection for Exponential Random Graph Models via Adjusted Pseudolikelihoods
inferredcites →https://doi.org/10.1089/brain.2014.0286openalex-snapshot
Age-Related Reorganizational Changes in Modularity and Functional Connectivity of Human Brain Networks
inferredcites →https://doi.org/10.1093/cercor/bhu012openalex-snapshot
A Brain-Wide Study of Age-Related Changes in Functional Connectivity
inferredcites →https://doi.org/10.1098/rsif.2016.0940openalex-snapshot
A statistical model for brain networks inferred from large-scale electrophysiological signals
inferredcites →https://doi.org/10.1109/iembs.2009.5334874openalex-snapshot
Default network and intelligence difference
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1111/rssb.12014openalex-snapshot
A Separable Model for Dynamic Networks
inferredcites →https://doi.org/10.1186/s12883-014-0204-1openalex-snapshot
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing
inferredcites →https://doi.org/10.1198/jcgs.2011.203mainopenalex-snapshot
To Center or Not to Center: That Is Not the Question—An Ancillarity–Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Efficiency
inferredcites →https://doi.org/10.1371/journal.pcbi.0030017openalex-snapshot
Efficiency and Cost of Economical Brain Functional Networks
inferredcites →https://doi.org/10.1371/journal.pcbi.1005305openalex-snapshot
A Topological Criterion for Filtering Information in Complex Brain Networks
inferredcites →https://doi.org/10.1371/journal.pone.0010840openalex-snapshot
Prevention of Catheter-Related Bacteremia with a Daily Ethanol Lock in Patients with Tunnelled Catheters: A Randomized, Placebo-Controlled Trial
inferredcites →https://doi.org/10.1371/journal.pone.0012200openalex-snapshot
A New Measure of Centrality for Brain Networks
inferredcites →https://doi.org/10.1371/journal.pone.0013701openalex-snapshot
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
inferredcites →https://doi.org/10.1371/journal.pone.0020039openalex-snapshot
Exponential Random Graph Modeling for Complex Brain Networks
inferredcites →https://doi.org/10.1371/journal.pone.0021570openalex-snapshot
Brain Network Analysis: Separating Cost from Topology Using Cost-Integration
inferredcites →https://doi.org/10.1371/journal.pone.0030136openalex-snapshot
Statistical Inference for Valued-Edge Networks: The Generalized Exponential Random Graph Model
inferredcites →https://doi.org/10.1523/jneurosci.3874-05.2006openalex-snapshot
A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs
inferredcites →https://doi.org/10.17863/cam.44897openalex-snapshot
Inferring differences between networks using Bayesian exponential random graph models
inferredcites →https://doi.org/10.18637/jss.v061.i02openalex-snapshot
Bergm: Bayesian Exponential Random Graphs inR
inferredcites →https://doi.org/10.3389/fncom.2013.00171openalex-snapshot
A permutation testing framework to compare groups of brain networks
inferredcites →https://doi.org/10.3389/fncom.2014.00051openalex-snapshot
Statistical network analysis for functional MRI: summary networks and group comparisons
inferredcites →https://doi.org/10.3389/fneur.2018.00439openalex-snapshot
Network Analysis in Disorders of Consciousness: Four Problems and One Proposed Solution (Exponential Random Graph Models)
inferredcites →https://doi.org/10.3389/fninf.2014.00090openalex-snapshot
Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XML
inferredcites →https://doi.org/10.3389/neuro.11.037.2009openalex-snapshot
Hierarchical modularity in human brain functional networks
inferredcites →https://doi.org/10.48550/arxiv.1206.6848openalex-snapshot
MCMC for doubly-intractable distributions
inferredcites →https://doi.org/10.6084/m9.figshare.6483758.v2openalex-snapshot
Bayesian Model Selection for Exponential Random Graph Models via Adjusted Pseudolikelihoods

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1162/netn_a_00162openalex-snapshot
Exploratory factor analysis with structured residuals for brain network data
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