ArticleNeuroImage2010
Identification and validation of effective connectivity networks in functional magnetic resonance imaging using switching linear dynamic systems.
Article in NeuroImage, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- Sharp and smooth state transitions during resting state brain dynamics.bioRxiv : the preprint server for biology · 2026Article
- Article
- Quantifying Similarity of Dynamic Brain Networks: Two Novel Indices for Structural Change and Temporal Evolution.Bioengineering (Basel, Switzerland) · 2025Article
- Oral Contraceptives and Cigarette Smoking: A Review of the Literature and Future Directions.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019Review
- Distinct modes of functional connectivity induced by movie-watching.NeuroImage · 2019Article
- From correlation to causation: Estimating effective connectivity from zero-lag covariances of brain signals.PLoS computational biology · 2018Article
- Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI.NeuroImage · 2017Article
- Noise concerns and post-processing procedures in cerebral blood flow (CBF) and cerebral blood volume (CBV) functional magnetic resonance imaging.NeuroImage · 2017Review
- Multivariate dynamical systems-based estimation of causal brain interactions in fMRI: Group-level validation using benchmark data, neurophysiological models and human connectome project data.Journal of neuroscience methods · 2016Article
- Combining optogenetic stimulation and fMRI to validate a multivariate dynamical systems model for estimating causal brain interactions.NeuroImage · 2016Article
- Oppositional COMT Val158Met effects on resting state functional connectivity in adolescents and adults.Brain structure & function · 2016Article
- Functional Magnetic Resonance Imaging Methods.Neuropsychology review · 2015Review
- The elusive concept of brain network. Comment on "Understanding brain networks and brain organization" by Luiz Pessoa.Physics of life reviews · 2014Article
- Variational Bayesian causal connectivity analysis for fMRI.Frontiers in neuroinformatics · 2014Article
- Interpreting the effects of altered brain anatomical connectivity on fMRI functional connectivity: a role for computational neural modeling.Frontiers in human neuroscience · 2013Article
- Identifying effective connectivity parameters in simulated fMRI: a direct comparison of switching linear dynamic system, stochastic dynamic causal, and multivariate autoregressive models.Frontiers in neuroscience · 2013Article
- Hippocampal-prefrontal engagement and dynamic causal interactions in the maturation of children's fact retrieval.Journal of cognitive neuroscience · 2012Article
- Functional biomarkers for neurodegenerative disorders based on the network paradigm.Progress in neurobiology · 2011Article
- Serotonin transporter genotype modulates subgenual response to fearful faces using an incidental task.Journal of cognitive neuroscience · 2011Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Dynamic connectivity networks identify directed interregional interactions between modeled brain regions in neuroimaging. However, problems arise when the regions involved in a task and their interconnections are not fully known a priori. Objective measures of model adequacy are necessary to validate such models. We present a connectivity formalism, the Switching Linear Dynamic System (SLDS), that is capable of identifying both Granger-Geweke and instantaneous connectivity that vary according to experimental conditions. SLDS explicitly models the task condition as a Markov random variable. The series of task conditions can be estimated from new data given an identified model providing a means to validate connectivity patterns. We use SLDS to model functional magnetic resonance imaging data from five regions during a finger alternation task. Using interregional connectivity alone, the identified model predicted the task condition vector from a different subject with a different task ordering with high accuracy. In addition, important regions excluded from a model can be identified by augmenting the model state space. A motor task model excluding primary motor cortices was augmented with a new neural state constrained by its connectivity with the included regions. The augmented variable time series, convolved with a hemodynamic kernel, was compared to all brain voxels. The right primary motor cortex was identified as the best region to add to the model. Our results suggest that the SLDS model framework is an effective means to address several problems with modeling connectivity including measuring overall model adequacy and identifying important regions missing from models.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.