2021
DOI: 10.1016/j.brs.2020.12.005
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The critical role of the inferior frontal cortex in establishing a prediction model for generating subsequent mismatch negativity (MMN): A TMS-EEG study

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Cited by 10 publications
(5 citation statements)
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“…For the low racial essentialism group, vMMN was only observed to the Eastern deviant with high cultural relevance ( t (19) = − 3.67, p < 0.001, d = − 0.82), but not to the Eastern deviant with high cultural relevance, or the Western deviants with high or low cultural relevance ( ts (19) = − 1.02 to 1.55, ps = 0.16 to 0.48, ds = 0.018 to − 0.23). The effect sizes of the vMMNs ranged from − 0.44 to − 0.82, which were similar to the vMMNs that were calculated with properly controlled standards or control stimuli and elicited by abstract deviants 18 , 37 , 45 . A larger MMN effect size could be observed if the MMN was contaminated by the brain responses to the physical differences between the deviant and standard and/or the adaptation confound.…”
Section: Resultssupporting
confidence: 74%
See 1 more Smart Citation
“…For the low racial essentialism group, vMMN was only observed to the Eastern deviant with high cultural relevance ( t (19) = − 3.67, p < 0.001, d = − 0.82), but not to the Eastern deviant with high cultural relevance, or the Western deviants with high or low cultural relevance ( ts (19) = − 1.02 to 1.55, ps = 0.16 to 0.48, ds = 0.018 to − 0.23). The effect sizes of the vMMNs ranged from − 0.44 to − 0.82, which were similar to the vMMNs that were calculated with properly controlled standards or control stimuli and elicited by abstract deviants 18 , 37 , 45 . A larger MMN effect size could be observed if the MMN was contaminated by the brain responses to the physical differences between the deviant and standard and/or the adaptation confound.…”
Section: Resultssupporting
confidence: 74%
“…Deviance in simple physical properties (e.g., color, orientation) typically elicited an early mismatch response (< 200 ms) with right posterior scalp distribution, while deviance in abstract properties (e.g., semantics) elicited vMMNs with a delayed latency (around 400 ms) and a central scalp distribution 18 , 32 34 (see 35 , 36 for an alternative view). The differences of the vMMN latencies and scalp distributions in detecting abstract versus physical changes were related to increases in the complexity of cognitive processing and overall frontal cortex activities, as well as differences in the dynamics of the frontal-sensory cortical network 18 , 25 , 37 .…”
Section: Introductionmentioning
confidence: 98%
“…Also, the current auditory cortex model is by no means complete. It lacks input from, for example, the inferior frontal cortex (IFC), which is known to contribute to the MMN response generated in auditory cortex (e.g., Rinne et al, 2005;Tse et al, 2018;Lui et al, 2021). The simulations can be taken as a demonstration that the "local" processing happening in auditory cortex is sufficient for the generation of MMN.…”
Section: Adaptation Predictive Coding or A Bit Of Both?mentioning
confidence: 99%
“…While the standing traveling wave-like results in A-HER imply that the response of A-HER may be composed of the propagation of signals from at least two brain sources. Inspired by MMN ( Doeller et al, 2003; Garrido et al, 2008; Tse et al, 2006 ), the two possible brain sources would be Heschl’s gyrus located in the posterior portion of the STG as the primary auditory area, and the inferior frontal gyrus (IFG), which is involved in establishing a prediction model for detecting unexpected changes ( Lui et al, 2021 ). One counterargument against this propagation model is that if A-SSR adheres to this propagation law, a propagation time of around 40ms from a peak at Oz (180ms) to a peak at FCz (217ms) appears relatively sluggish.…”
Section: Discussionmentioning
confidence: 99%