Evoked brain responses are generated by feedback loops.
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.
Garrido
Marta I
MI
Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom. m.garrido@fil.ion.ucl.ac.uk
Kilner
James M
JM
Kiebel
Stefan J
SJ
Friston
Karl J
KJ
D000328:Adult; D001499:Bayes Theorem; D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology; D001931:Brain Mapping; D004569:Electroencephalography / Q000379:methods; D005071:Evoked Potentials; D025461:Feedback, Physiological; D005260:Female; D006801:Humans; D007858:Learning; D008297:Male; D008959:Models, Neurological; D008962:Models, Theoretical; D009415:Nerve Net; D009474:Neurons / Q000378:metabolism