Literature DB >> 28515289

Learning temporal context shapes prestimulus alpha oscillations and improves visual discrimination performance.

Tahereh Toosi1, Ehsan K Tousi2, Hossein Esteky2,3.   

Abstract

Time is an inseparable component of every physical event that we perceive, yet it is not clear how the brain processes time or how the neuronal representation of time affects our perception of events. Here we asked subjects to perform a visual discrimination task while we changed the temporal context in which the stimuli were presented. We collected electroencephalography (EEG) signals in two temporal contexts. In predictable blocks stimuli were presented after a constant delay relative to a visual cue, and in unpredictable blocks stimuli were presented after variable delays relative to the visual cue. Four subsecond delays of 83, 150, 400, and 800 ms were used in the predictable and unpredictable blocks. We observed that predictability modulated the power of prestimulus alpha oscillations in the parieto-occipital sites: alpha power increased in the 300-ms window before stimulus onset in the predictable blocks compared with the unpredictable blocks. This modulation only occurred in the longest delay period, 800 ms, in which predictability also improved the behavioral performance of the subjects. Moreover, learning the temporal context shaped the prestimulus alpha power: modulation of prestimulus alpha power grew during the predictable block and correlated with performance enhancement. These results suggest that the brain is able to learn the subsecond temporal context of stimuli and use this to enhance sensory processing. Furthermore, the neural correlate of this temporal prediction is reflected in the alpha oscillations.NEW & NOTEWORTHY It is not well understood how the uncertainty in the timing of an external event affects its processing, particularly at subsecond scales. Here we demonstrate how a predictable timing scheme improves visual processing. We found that learning the predictable scheme gradually shaped the prestimulus alpha power. These findings indicate that the human brain is able to extract implicit subsecond patterns in the temporal context of events.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  EEG; alpha power; parietal cortex; prediction; timing

Mesh:

Year:  2017        PMID: 28515289      PMCID: PMC5539440          DOI: 10.1152/jn.00969.2016

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  55 in total

1.  Alpha rhythm of the EEG modulates visual detection performance in humans.

Authors:  Tolgay Ergenoglu; Tamer Demiralp; Zubeyir Bayraktaroglu; Mehmet Ergen; Huseyin Beydagi; Yagiz Uresin
Journal:  Brain Res Cogn Brain Res       Date:  2004-08

2.  High gamma power is phase-locked to theta oscillations in human neocortex.

Authors:  R T Canolty; E Edwards; S S Dalal; M Soltani; S S Nagarajan; H E Kirsch; M S Berger; N M Barbaro; R T Knight
Journal:  Science       Date:  2006-09-15       Impact factor: 47.728

3.  Rescuing stimuli from invisibility: Inducing a momentary release from visual masking with pre-target entrainment.

Authors:  Kyle E Mathewson; Monica Fabiani; Gabriele Gratton; Diane M Beck; Alejandro Lleras
Journal:  Cognition       Date:  2009-12-24

4.  Age-related changes in orienting attention in time.

Authors:  Theodore P Zanto; Peter Pan; Helen Liu; Jacob Bollinger; Anna C Nobre; Adam Gazzaley
Journal:  J Neurosci       Date:  2011-08-31       Impact factor: 6.167

5.  Visual, presaccadic, and cognitive activation of single neurons in monkey lateral intraparietal area.

Authors:  C L Colby; J R Duhamel; M E Goldberg
Journal:  J Neurophysiol       Date:  1996-11       Impact factor: 2.714

6.  Top-down control of the phase of alpha-band oscillations as a mechanism for temporal prediction.

Authors:  Jason Samaha; Phoebe Bauer; Sawyer Cimaroli; Bradley R Postle
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-22       Impact factor: 11.205

7.  Shaping functional architecture by oscillatory alpha activity: gating by inhibition.

Authors:  Ole Jensen; Ali Mazaheri
Journal:  Front Hum Neurosci       Date:  2010-11-04       Impact factor: 3.169

8.  Layer-specific entrainment of γ-band neural activity by the α rhythm in monkey visual cortex.

Authors:  Eelke Spaak; Mathilde Bonnefond; Alexander Maier; David A Leopold; Ole Jensen
Journal:  Curr Biol       Date:  2012-11-15       Impact factor: 10.834

9.  Cross-frequency coupling between neuronal oscillations.

Authors:  Ole Jensen; Laura L Colgin
Journal:  Trends Cogn Sci       Date:  2007-06-04       Impact factor: 20.229

10.  Gamma activity coupled to alpha phase as a mechanism for top-down controlled gating.

Authors:  Mathilde Bonnefond; Ole Jensen
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.