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  5. Evoked brain responses are generated by feedback loops

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Article
English
2007

Evoked brain responses are generated by feedback loops

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English
2007
Proceedings of the National Academy of Sciences
Vol 104 (52)
DOI: 10.1073/pnas.0706274105

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Karl Friston
Karl Friston

University College London

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Marta I. Garrido
James M. Kilner
Stefan J. Kiebel
+1 more

Abstract

Neuronal responses to stimuli, measured electrophysiologically, unfold over several hundred milliseconds. Typically, they show characteristic waveforms with early and late components. It is thought that early or exogenous components reflect a perturbation of neuronal dynamics by sensory input bottom-up processing. Conversely, later, endogenous components have been ascribed to recurrent dynamics among hierarchically disposed cortical processing levels, top-down effects. Here, we show that evoked brain responses are generated by recurrent dynamics in cortical networks, and late components of event-related responses are mediated by backward connections. This evidence is furnished by dynamic causal modeling of mismatch responses, elicited in an oddball paradigm. We used the evidence for models with and without backward connections to assess their likelihood as a function of peristimulus time and show that backward connections are necessary to explain late components. Furthermore, we were able to quantify the contribution of backward connections to evoked responses and to source activity, again as a function of peristimulus time. These results link a generic feature of brain responses to changes in the sensorium and a key architectural component of functional anatomy; namely, backward connections are necessary for recurrent interactions among levels of cortical hierarchies. This is the theoretical cornerstone of most modern theories of perceptual inference and learning.

How to cite this publication

Marta I. Garrido, James M. Kilner, Stefan J. Kiebel, Karl Friston (2007). Evoked brain responses are generated by feedback loops. Proceedings of the National Academy of Sciences, 104(52), pp. 20961-20966, DOI: 10.1073/pnas.0706274105.

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Publication Details

Type

Article

Year

2007

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

Proceedings of the National Academy of Sciences

DOI

10.1073/pnas.0706274105

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