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
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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