Literature DB >> 33216268

The Role of Alpha Power in the Suppression of Anticipated Distractors During Verbal Working Memory.

Sabrina Sghirripa1,2,3, Lynton Graetz4,5, Ashley Merkin4,5, Nigel C Rogasch5,6,7, Michael C Ridding8, John G Semmler9, Mitchell R Goldsworthy4,9,5,6.   

Abstract

As working memory (WM) is limited in capacity, it is important to direct neural resources towards processing task-relevant information while ignoring distractors. Neural oscillations in the alpha frequency band (8-12 Hz) have been suggested to play a role in the inhibition of task-irrelevant information during WM, although results are mixed, possibly due to differences in the type of WM task employed. Here, we examined the role of alpha power in suppression of anticipated distractors of varying strength using a modified Sternberg task where the encoding and retention periods were temporally separated. We recorded EEG while 20 young adults completed the task and found: (1) slower reaction times in strong distractor trials compared to weak distractor trials; (2) increased alpha power in posterior regions from baseline prior to presentation of a distractor regardless of condition; and (3) no differences in alpha power between strong and weak distractor conditions. Our results suggest that parieto-occipital alpha power is increased prior to a distractor. However, we could not find evidence that alpha power is further modulated by distractor strength.

Entities:  

Keywords:  Alpha oscillations; Distractor suppression; EEG; Working memory

Mesh:

Year:  2020        PMID: 33216268     DOI: 10.1007/s10548-020-00810-4

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  19 in total

1.  Independent component analysis: algorithms and applications.

Authors:  A Hyvärinen; E Oja
Journal:  Neural Netw       Date:  2000 May-Jun

2.  Oscillations in the alpha band (9-12 Hz) increase with memory load during retention in a short-term memory task.

Authors:  Ole Jensen; Jack Gelfand; John Kounios; John E Lisman
Journal:  Cereb Cortex       Date:  2002-08       Impact factor: 5.357

3.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

Authors:  Arnaud Delorme; Scott Makeig
Journal:  J Neurosci Methods       Date:  2004-03-15       Impact factor: 2.390

4.  Nonparametric statistical testing of EEG- and MEG-data.

Authors:  Eric Maris; Robert Oostenveld
Journal:  J Neurosci Methods       Date:  2007-04-10       Impact factor: 2.390

Review 5.  Working memory.

Authors:  A Baddeley
Journal:  Science       Date:  1992-01-31       Impact factor: 47.728

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

Authors:  A Gevins; M E Smith; L McEvoy; D Yu
Journal:  Cereb Cortex       Date:  1997-06       Impact factor: 5.357

7.  I feel it in my finger: Measurement device affects cardiac interoceptive accuracy.

Authors:  Jennifer Murphy; Rebecca Brewer; Michel-Pierre Coll; David Plans; Megan Hall; Sound Sound Shiu; Caroline Catmur; Geoffrey Bird
Journal:  Biol Psychol       Date:  2019-09-10       Impact factor: 3.251

8.  Academic software applications for electromagnetic brain mapping using MEG and EEG.

Authors:  Sylvain Baillet; Karl Friston; Robert Oostenveld
Journal:  Comput Intell Neurosci       Date:  2011-07-13

9.  Oscillatory sensory selection mechanisms during intersensory attention to rhythmic auditory and visual inputs: a human electrocorticographic investigation.

Authors:  Manuel Gomez-Ramirez; Simon P Kelly; Sophie Molholm; Pejman Sehatpour; Theodore H Schwartz; John J Foxe
Journal:  J Neurosci       Date:  2011-12-14       Impact factor: 6.167

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

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