Vossel, S;
Mathys, C;
Stephan, KE;
Friston, KJ;
(2015)
Cortical Coupling Reflects Bayesian Belief Updating in the Deployment of Spatial Attention.
The Journal of Neuroscience
, 35
(33)
pp. 11532-11542.
10.1523/JNEUROSCI.1382-15.2015.
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Abstract
The deployment of visuospatial attention and the programming of saccades are governed by the inferred likelihood of events. In the present study, we combined computational modeling of psychophysical data with fMRI to characterize the computational and neural mechanisms underlying this flexible attentional control. Sixteen healthy human subjects performed a modified version of Posner's location-cueing paradigm in which the percentage of cue validity varied in time and the targets required saccadic responses. Trialwise estimates of the certainty (precision) of the prediction that the target would appear at the cued location were derived from a hierarchical Bayesian model fitted to individual trialwise saccadic response speeds. Trial-specific model parameters then entered analyses of fMRI data as parametric regressors. Moreover, dynamic causal modeling (DCM) was performed to identify the most likely functional architecture of the attentional reorienting network and its modulation by (Bayes-optimal) precision-dependent attention. While the frontal eye fields (FEFs), intraparietal sulcus, and temporoparietal junction (TPJ) of both hemispheres showed higher activity on invalid relative to valid trials, reorienting responses in right FEF, TPJ, and the putamen were significantly modulated by precision-dependent attention. Our DCM results suggested that the precision of predictability underlies the attentional modulation of the coupling of TPJ with FEF and the putamen. Our results shed new light on the computational architecture and neuronal network dynamics underlying the context-sensitive deployment of visuospatial attention.
| Type: | Article |
|---|---|
| Title: | Cortical Coupling Reflects Bayesian Belief Updating in the Deployment of Spatial Attention |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1523/JNEUROSCI.1382-15.2015 |
| Publisher version: | http://dx.doi.org/10.1523/JNEUROSCI.1382-15.2015 |
| Additional information: | Copyright © 2015 Vossel et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License CreativeCommonsAttribution4.0International, whichpermitsunrestricteduse,distributionandreproductioninany medium provided that the original work is properly attributed. |
| Keywords: | Bayesian inference, attentional networks, fMRI, saccades, spatial cueing, Adult, Attention, Bayes Theorem, Computer Simulation, Cues, Female, Humans, Models, Neurological, Neuronal Plasticity, Putamen, Saccades, Spatial Processing, Visual Fields, Young Adult |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1472497 |
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