Literature DB >> 32548801

Dynamic Brain Responses Modulated by Precise Timing Prediction in an Opposing Process.

Minpeng Xu1,2, Jiayuan Meng1, Haiqing Yu1, Tzyy-Ping Jung1,3, Dong Ming4,5.   

Abstract

The brain function of prediction is fundamental for human beings to shape perceptions efficiently and successively. Through decades of effort, a valuable brain activation map has been obtained for prediction. However, much less is known about how the brain manages the prediction process over time using traditional neuropsychological paradigms. Here, we implemented an innovative paradigm for timing prediction to precisely study the temporal dynamics of neural oscillations. In the experiment recruiting 45 participants, expectation suppression was found for the overall electroencephalographic activity, consistent with previous hemodynamic studies. Notably, we found that N1 was positively associated with predictability while N2 showed a reversed relation to predictability. Furthermore, the matching prediction had a similar profile with no timing prediction, both showing an almost saturated N1 and an absence of N2. The results indicate that the N1 process showed a 'sharpening' effect for predictable inputs, while the N2 process showed a 'dampening' effect. Therefore, these two paradoxical neural effects of prediction, which have provoked wide confusion in accounting for expectation suppression, actually co-exist in the procedure of timing prediction but work in separate time windows. These findings strongly support a recently-proposed opposing process theory.

Entities:  

Keywords:  Event-related potentials; Expectation suppression; Predictive coding; Timing prediction

Mesh:

Year:  2020        PMID: 32548801      PMCID: PMC7811967          DOI: 10.1007/s12264-020-00527-1

Source DB:  PubMed          Journal:  Neurosci Bull        ISSN: 1995-8218            Impact factor:   5.271


  57 in total

1.  Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.

Authors:  R P Rao; D H Ballard
Journal:  Nat Neurosci       Date:  1999-01       Impact factor: 24.884

Review 2.  A theory of cortical responses.

Authors:  Karl Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-04-29       Impact factor: 6.237

Review 3.  Expectation in perceptual decision making: neural and computational mechanisms.

Authors:  Christopher Summerfield; Floris P de Lange
Journal:  Nat Rev Neurosci       Date:  2014-10-15       Impact factor: 34.870

4.  Modulation of Beta Oscillations for Implicit Motor Timing in Primate Sensorimotor Cortex during Movement Preparation.

Authors:  Hongji Sun; Xuan Ma; Liya Tang; Jiuqi Han; Yuwei Zhao; Xuejiao Xu; Lubin Wang; Peng Zhang; Luyao Chen; Jin Zhou; Changyong Wang
Journal:  Neurosci Bull       Date:  2019-05-06       Impact factor: 5.203

Review 5.  How Do Expectations Shape Perception?

Authors:  Floris P de Lange; Micha Heilbron; Peter Kok
Journal:  Trends Cogn Sci       Date:  2018-06-29       Impact factor: 20.229

Review 6.  Whatever next? Predictive brains, situated agents, and the future of cognitive science.

Authors:  Andy Clark
Journal:  Behav Brain Sci       Date:  2013-05-10       Impact factor: 12.579

7.  Expectation and surprise determine neural population responses in the ventral visual stream.

Authors:  Tobias Egner; Jim M Monti; Christopher Summerfield
Journal:  J Neurosci       Date:  2010-12-08       Impact factor: 6.167

Review 8.  Predictions not commands: active inference in the motor system.

Authors:  Rick A Adams; Stewart Shipp; Karl J Friston
Journal:  Brain Struct Funct       Date:  2012-11-06       Impact factor: 3.270

9.  Evidence for causal top-down frontal contributions to predictive processes in speech perception.

Authors:  Thomas E Cope; E Sohoglu; W Sedley; K Patterson; P S Jones; J Wiggins; C Dawson; M Grube; R P Carlyon; T D Griffiths; Matthew H Davis; James B Rowe
Journal:  Nat Commun       Date:  2017-12-18       Impact factor: 14.919

10.  Knowledge acquisition is governed by striatal prediction errors.

Authors:  Alex Pine; Noa Sadeh; Aya Ben-Yakov; Yadin Dudai; Avi Mendelsohn
Journal:  Nat Commun       Date:  2018-04-26       Impact factor: 14.919

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  3 in total

Review 1.  Review of brain encoding and decoding mechanisms for EEG-based brain-computer interface.

Authors:  Lichao Xu; Minpeng Xu; Tzyy-Ping Jung; Dong Ming
Journal:  Cogn Neurodyn       Date:  2021-04-10       Impact factor: 3.473

Review 2.  From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control.

Authors:  Tianwei Wang; Yun Chen; He Cui
Journal:  Neurosci Bull       Date:  2022-03-17       Impact factor: 5.271

3.  Separable EEG Features Induced by Timing Prediction for Active Brain-Computer Interfaces.

Authors:  Jiayuan Meng; Minpeng Xu; Kun Wang; Qiangfan Meng; Jin Han; Xiaolin Xiao; Shuang Liu; Dong Ming
Journal:  Sensors (Basel)       Date:  2020-06-25       Impact factor: 3.576

  3 in total

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