Dynamic causal modelling revisited
2805 Cognitive Neuroscience
neural mass models
Adult
effective connectivity
Cognitive Neuroscience
Motion Perception
610 Medicine & health
Models, Biological
Bayesian
Article
03 medical and health sciences
0302 clinical medicine
Humans
10237 Institute of Biomedical Engineering
haemodynamic models
Dynamic causal modelling; Haemodynamic models; Neural mass models; Effective connectivity; Bayesian
Neural mass models
Effective connectivity
Functional Neuroimaging
Hemodynamics
Bayesian; Dynamic causal modelling; Effective connectivity; Haemodynamic models; Neural mass models
Brain
Electroencephalography
Magnetic Resonance Imaging
dynamic causal modelling
Haemodynamic models
Neurology
10054 Clinic for Psychiatry, Psychotherapy, and Psychosomatics
2808 Neurology
Neurovascular Coupling
Nerve Net
Dynamic causal modelling
DOI:
10.1016/j.neuroimage.2017.02.045
Publication Date:
2017-02-17T15:16:28Z
AUTHORS (7)
ABSTRACT
NeuroImage, 199<br/>ISSN:1095-9572<br/>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.<br/>ISSN:1053-8119<br/>
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