ArticleNeuroImage2019
Dynamic causal modelling revisited.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
156 citing papers in PubMed, 2 syntheses or guidelines pooled it, 290 citations in OpenAlex.
- The research progress on effective connectivity in adolescent depression based on resting-state fMRI.Frontiers in neurology · 2025Pooled it
- An MRI-Based, Data-Driven Model of Cortical Laminar Connectivity.Neuroinformatics · 2021Pooled it
- Distinct Brain Drivers and Shared Cerebello-Cortical Input in ADCY5 and SGCE Hyperkinetic Movements.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- The Pupil-Brain System at Rest: Spontaneous Pupil Fluctuations as Markers of Neuromodulatory and Network Dynamics.Psychophysiology · 2026Review
- Multimodal Representation Learning for Parsing Biological Heterogeneity in Psychiatric Neuroimaging.Biological psychiatry · 2026Review
- Task load modulates network interactions between bilateral fronto-parietal and cerebellar areas during verbal working memory.iScience · 2026Article
- Task-induced topological and geometrical changes in whole-brain dynamics predict cognitive individual differences.bioRxiv : the preprint server for biology · 2026Article
- Bed nucleus of the stria terminalis connectivity during food cue and taste processing under stress.Nature communications · 2026Article
- Limitations of Variational Laplace-Based Dynamic Causal Modelling for Multistable Cortical Circuits.Neuroinformatics · 2026Article
- Competitive interactions shape mammalian brain network dynamics and computation.Nature neuroscience · 2026Article
- Probabilistic Cognitive State Modeling (PCSM): Decoding dynamic brain states to derive emergent cognitive processing properties from task fMRI.NeuroImage · 2026Article
- Alzheimer's disease and memantine effects on NMDA-receptor blockade: non-invasive in vivo insights from magnetoencephalography.Molecular psychiatry · 2026Article
- A Large-scale Neural Model Inversion Framework for Effective Connectivity Estimation.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026Article
- A De Novo Arg649Trp Variant in GluA2 Impairs Its Assembly With GluA1: Associated With Epilepsy and Neurodevelopmental Disorders.Human mutation · 2026Article
- Shedding light on imagined scents: an fNIRS feasibility study of olfactory mental imagery and semantic cueing.Frontiers in neuroscience · 2026Article
- Electroencephalographic Biomarkers in Tinnitus: A Narrative Review of Current Approaches and Clinical Perspectives.Brain sciences · 2025Review
- Investigation of the effective connectivity between the anti-NMDAR encephalitis default mode network and the medial temporal lobe network using spectral dynamic causal modelling.Brain imaging and behavior · 2025Article
- Effective Connectivity Alterations of Directed Brain Network in Pediatric Patients With Spinal Cord Injury.CNS neuroscience & therapeutics · 2025Article
- Five Fristonian Formulae.Entropy (Basel, Switzerland) · 2025Article
- Lorcaserin modulation of semantic drug cue-elicited effective brain connectivity in persons with cocaine and opioid use disorders.Psychiatry research. Neuroimaging · 2025Article
96 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
This paper revisits the dynamic causal modelling of fMRI timeseries by replacing the usual (Taylor) approximation to neuronal dynamics with a neural mass model of the canonical microcircuit. This provides a generative or dynamic causal model of laminar specific responses that can generate haemodynamic and electrophysiological measurements. In principle, this allows the fusion of haemodynamic and (event related or induced) electrophysiological responses. Furthermore, it enables Bayesian model comparison of competing hypotheses about physiologically plausible synaptic effects; for example, does attentional modulation act on superficial or deep pyramidal cells - or both? In this technical note, we describe the resulting dynamic causal model and provide an illustrative application to the attention to visual motion dataset used in previous papers. Our focus here is on how to answer long-standing questions in fMRI; for example, do haemodynamic responses reflect extrinsic (afferent) input from distant cortical regions, or do they reflect intrinsic (recurrent) neuronal activity? To what extent do inhibitory interneurons contribute to neurovascular coupling? What is the relationship between haemodynamic responses and the frequency of induced neuronal activity? This paper does not pretend to answer these questions; rather it shows how they can be addressed using neural mass models of fMRI timeseries.
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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.