Modulation of alpha power at encoding and retrieval tracks the precision of visual short-term memory

Our ability to hold information in mind is strictly limited. We sought to understand the relationship between oscillatory brain activity and the allocation of resources within visual short-term memory (VSTM). Participants attempted to remember target arrows embedded among distracters and used a continuous method of responding to report their memory for a cued target item. Trial-to-trial variability in the absolute circular accuracy with which participants could report the target was predicted by event-related alpha synchronization during initial processing of the memoranda and by alpha desynchronization during the retrieval of those items from VSTM. Using a model-based approach, we were also able to explore further which parameters of VSTM-guided behavior were most influenced by alpha band changes. Alpha synchronization during item processing enhanced the precision with which an item could be retained without affecting the likelihood of an item being represented per se (as indexed by the guessing rate). Importantly, our data outline a neural mechanism that mirrors the precision with which items are retained; the greater the alpha power enhancement during encoding, the greater the precision with which that item can be retained.

[1]  Thomas E. Nichols,et al.  Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.

[2]  W. Ma,et al.  A detection theory account of change detection. , 2004, Journal of vision.

[3]  J. Gross,et al.  On the Role of Prestimulus Alpha Rhythms over Occipito-Parietal Areas in Visual Input Regulation: Correlation or Causation? , 2010, The Journal of Neuroscience.

[4]  Robert Sekuler,et al.  Attention-modulated Alpha-band Oscillations Protect against Intrusion of Irrelevant Information , 2013, Journal of Cognitive Neuroscience.

[5]  Ulman Lindenberger,et al.  Brain oscillatory correlates of working memory constraints , 2011, Brain Research.

[6]  Ole Jensen,et al.  The role of gamma and alpha oscillations for blocking out distraction , 2013, Communicative & integrative biology.

[7]  O. Jensen,et al.  Alpha Oscillations Serve to Protect Working Memory Maintenance against Anticipated Distracters , 2012, Current Biology.

[8]  Wolf Singer,et al.  Gamma-Band Activity in Human Prefrontal Cortex Codes for the Number of Relevant Items Maintained in Working Memory , 2012, The Journal of Neuroscience.

[9]  O. Bertrand,et al.  Oscillatory gamma activity in humans and its role in object representation , 1999, Trends in Cognitive Sciences.

[10]  Paul M Bays,et al.  The precision of visual working memory is set by allocation of a shared resource. , 2009, Journal of vision.

[11]  Robert J Summers,et al.  Neuronal convergence in early contrast vision: binocular summation is followed by response nonlinearity and area summation. , 2009, Journal of vision.

[12]  J. Kilner,et al.  Bias in a common EEG and MEG statistical analysis and how to avoid it , 2013, Clinical Neurophysiology.

[13]  Mark G. Stokes,et al.  Attention Modulates Maintenance of Representations in Visual Short-term Memory , 2012, Journal of Cognitive Neuroscience.

[14]  Gerald Westheimer,et al.  Quantifying target conspicuity in contextual modulation by visual search. , 2011, Journal of vision.

[15]  Anna Christina Nobre,et al.  Orienting attention to locations in mental representations , 2012, Attention, perception & psychophysics.

[16]  A. Karim,et al.  Brain Oscillatory Substrates of Visual Short-Term Memory Capacity , 2009, Current Biology.

[17]  Richard Kronland-Martinet,et al.  Analysis of Sound Patterns through Wavelet transforms , 1987, Int. J. Pattern Recognit. Artif. Intell..

[18]  Edward Awh,et al.  Retraction Note to: The plateau in mnemonic resolution across large set sizes indicates discrete resource limits in visual working memory , 2012, Attention, perception & psychophysics.

[19]  I. A. Clark,et al.  Attention Restores Discrete Items to Visual Short-Term Memory , 2013, Psychological science.

[20]  Gaia Scerif,et al.  The Quarterly Journal of Experimental Psychology Attentional Control Constrains Visual Short- Term Memory: Insights from Developmental and Individual Differences , 2022 .

[21]  Timothy F. Brady,et al.  Modeling visual working memory with the MemToolbox. , 2013, Journal of vision.

[22]  Á. Pascual-Leone,et al.  α-Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection , 2006, The Journal of Neuroscience.

[23]  R. Jacobs,et al.  An ideal observer analysis of visual working memory. , 2012, Psychological review.

[24]  W. Klimesch EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.

[25]  Edward Awh,et al.  Selection and storage of perceptual groups is constrained by a discrete resource in working memory. , 2013, Journal of experimental psychology. Human perception and performance.

[26]  Ipek Oruc,et al.  Improved face discrimination after face adaptation , 2009 .

[27]  R. Romo,et al.  α-Oscillations in the monkey sensorimotor network influence discrimination performance by rhythmical inhibition of neuronal spiking , 2011, Proceedings of the National Academy of Sciences.

[28]  J. Lisman,et al.  Oscillations in the alpha band (9-12 Hz) increase with memory load during retention in a short-term memory task. , 2002, Cerebral cortex.

[29]  Edward Awh,et al.  Induced Alpha Rhythms Track the Content and Quality of Visual Working Memory Representations with High Temporal Precision , 2014, The Journal of Neuroscience.

[30]  Wendy J Adams,et al.  Highlights, disparity, and perceived gloss with convex and concave surfaces. , 2013, Journal of vision.

[31]  Paul M Bays,et al.  Temporal dynamics of encoding, storage, and reallocation of visual working memory. , 2011, Journal of vision.

[32]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[33]  D. Astle,et al.  The strength of attentional biases reduces as visual short-term memory load increases. , 2013, Journal of neurophysiology.

[34]  Paul M Bays,et al.  Dynamic Shifts of Limited Working Memory Resources in Human Vision , 2008, Science.

[35]  A. Nobre,et al.  Oscillatory Brain State Predicts Variability in Working Memory , 2014, The Journal of Neuroscience.

[36]  Wei Ji Ma,et al.  Variability in encoding precision accounts for visual short-term memory limitations , 2012, Proceedings of the National Academy of Sciences.

[37]  S. Luck,et al.  Discrete fixed-resolution representations in visual working memory , 2008, Nature.

[38]  Mark G. Stokes,et al.  Lacking Control over the Trade-Off between Quality and Quantity in Visual Short-Term Memory , 2012, PloS one.

[39]  George A. Alvarez,et al.  Variability in the quality of visual working memory , 2012, Nature Communications.