Literature DB >> 29446044

Electrophysiological correlates of encoding processes in a full-report visual working memory paradigm.

Kyle W Killebrew1, Gennadiy Gurariy2, Candace E Peacock3, Marian E Berryhill2, Gideon P Caplovitz2.   

Abstract

Why are some visual stimuli remembered, whereas others are forgotten? A limitation of recognition paradigms is that they measure aggregate behavioral performance and/or neural responses to all stimuli presented in a visual working memory (VWM) array. To address this limitation, we paired an electroencephalography (EEG) frequency-tagging technique with two full-report VWM paradigms. This permitted the tracking of individual stimuli as well as the aggregate response. We recorded high-density EEG (256 channel) while participants viewed four shape stimuli, each flickering at a different frequency. At retrieval, participants either recalled the location of all stimuli in any order (simultaneous full report) or were cued to report the item in a particular location over multiple screen displays (sequential full report). The individual frequency tag amplitudes evoked for correctly recalled items were significantly larger than the amplitudes of subsequently forgotten stimuli, regardless of retrieval task. An induced-power analysis examined the aggregate neural correlates of VWM encoding as a function of items correctly recalled. We found increased induced power across a large number of electrodes in the theta, alpha, and beta frequency bands when more items were successfully recalled. This effect was more robust for sequential full report, suggesting that retrieval demands can influence encoding processes. These data are consistent with a model in which encoding-related resources are directed to a subset of items, rather than a model in which resources are allocated evenly across the array. These data extend previous work using recognition paradigms and stress the importance of encoding in determining later VWM retrieval success.

Entities:  

Keywords:  Attention; EEG; Encephalography

Mesh:

Year:  2018        PMID: 29446044      PMCID: PMC5889755          DOI: 10.3758/s13415-018-0574-8

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


  79 in total

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Review 2.  Frontal midline theta oscillations during working memory maintenance and episodic encoding and retrieval.

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3.  Event-related EEG desynchronization and synchronization during an auditory memory task.

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Review 4.  Event-related brain potentials in the study of visual selective attention.

Authors:  S A Hillyard; L Anllo-Vento
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-03       Impact factor: 11.205

5.  Distinction between perceptual and attentional processing in working memory tasks: a study of phase-locked and induced oscillatory brain dynamics.

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Journal:  J Cogn Neurosci       Date:  2007-01       Impact factor: 3.225

6.  High-resolution EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice.

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Review 7.  Top-down modulation: bridging selective attention and working memory.

Authors:  Adam Gazzaley; Anna C Nobre
Journal:  Trends Cogn Sci       Date:  2011-12-28       Impact factor: 20.229

Review 8.  Computational advances towards linking BOLD and behavior.

Authors:  John T Serences; Sameer Saproo
Journal:  Neuropsychologia       Date:  2011-07-23       Impact factor: 3.139

9.  The steady-state visual evoked potential reveals neural correlates of the items encoded into visual working memory.

Authors:  Dwight J Peterson; Gennadiy Gurariy; Gabriella G Dimotsantos; Hector Arciniega; Marian E Berryhill; Gideon P Caplovitz
Journal:  Neuropsychologia       Date:  2014-08-28       Impact factor: 3.139

10.  Induced and Evoked Human Electrophysiological Correlates of Visual Working Memory Set-Size Effects at Encoding.

Authors:  Gennadiy Gurariy; Kyle W Killebrew; Marian E Berryhill; Gideon P Caplovitz
Journal:  PLoS One       Date:  2016-11-30       Impact factor: 3.240

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  1 in total

1.  Using High-Density Electroencephalography to Explore Spatiotemporal Representations of Object Categories in Visual Cortex.

Authors:  Gennadiy Gurariy; Ryan E B Mruczek; Jacqueline C Snow; Gideon P Caplovitz
Journal:  J Cogn Neurosci       Date:  2022-05-02       Impact factor: 3.420

  1 in total

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