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      Effects of meaningfulness on perception: Alpha-band oscillations carry perceptual expectations and influence early visual responses

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          Abstract

          Perceptual experience results from a complex interplay of bottom-up input and prior knowledge about the world, yet the extent to which knowledge affects perception, the neural mechanisms underlying these effects, and the stages of processing at which these two sources of information converge, are still unclear. In several experiments we show that language, in the form of verbal labels, both aids recognition of ambiguous “Mooney” images and improves objective visual discrimination performance in a match/non-match task. We then used electroencephalography (EEG) to better understand the mechanisms of this effect. The improved discrimination of images previously labeled was accompanied by a larger occipital-parietal P1 evoked response to the meaningful versus meaningless target stimuli. Time-frequency analysis of the interval between the cue and the target stimulus revealed increases in the power of posterior alpha-band (8–14 Hz) oscillations when the meaning of the stimuli to be compared was trained. The magnitude of the pre-target alpha difference and the P1 amplitude difference were positively correlated across individuals. These results suggest that prior knowledge prepares the brain for upcoming perception via the modulation of alpha-band oscillations, and that this preparatory state influences early (~120 ms) stages of visual processing.

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          Most cited references55

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          Confidence Intervals from Normalized Data: A correction to Cousineau (2005)

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            Neural repetition suppression reflects fulfilled perceptual expectations.

            Stimulus-evoked neural activity is attenuated on stimulus repetition (repetition suppression), a phenomenon that is attributed to largely automatic processes in sensory neurons. By manipulating the likelihood of stimulus repetition, we found that repetition suppression in the human brain was reduced when stimulus repetitions were improbable (and thus, unexpected). Our data suggest that repetition suppression reflects a relative reduction in top-down perceptual 'prediction error' when processing an expected, compared with an unexpected, stimulus.
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              Alpha oscillations serve to protect working memory maintenance against anticipated distracters.

              When operating in a complex world, it is essential to have mechanisms that can suppress distracting information. Such mechanisms might be related to neuronal oscillations, which are known to be involved in gating of incoming information. We here apply a working memory (WM) task to investigate how neuronal oscillations are involved in the suppression of distracting information that can be predicted in time. We used a modified Sternberg WM task in which distracters were presented in the retention interval, while we recorded the ongoing brain activity using magnetoencephalography. The data revealed a robust adjustment of the phase of alpha oscillations in anticipation of the distracter. In trials with strong phase adjustment, response times to the memory probe were reduced. Further, the power of alpha oscillations increased prior to the distracter and predicted performance. Our findings demonstrate that the doors of perception close when a distracter is expected. The phase adjustment of the alpha rhythm adds to the computational versatility of brain oscillations, because such a mechanism allows for modulating neuronal processing on a fine temporal scale. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                jsamaha@wisc.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                26 April 2018
                26 April 2018
                2018
                : 8
                : 6606
                Affiliations
                [1 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Psychology, , University of Wisconsin-Madison, ; Madison, 53703 USA
                [2 ]ISNI 0000 0001 2312 1970, GRID grid.5132.5, Leiden Centre for Research in Linguistics and the Leiden Centre for Brain and Cognition, , Leiden University, ; Leiden, 2300 RC The Netherlands
                [3 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Psychiatry, , University of Wisconsin-Madison, ; Madison, 53703 USA
                Author information
                http://orcid.org/0000-0001-8010-5993
                http://orcid.org/0000-0001-8441-7433
                Article
                25093
                10.1038/s41598-018-25093-5
                5920106
                29700428
                feb1eefa-902e-41cc-a6c5-10f1260bf0e2
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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                : 22 June 2017
                : 9 April 2018
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