Load modulates the alpha and beta oscillatory dynamics serving verbal working memory

Amy L. Proskovec, Elizabeth Heinrichs-Graham, Tony W. Wilson

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

A network of predominantly left-lateralized brain regions has been linked to verbal working memory (VWM) performance. However, the impact of memory load on the oscillatory dynamics serving VWM is far less understood. To further investigate this, we had 26 healthy adults perform a high-load (6 letter) and low-load (4 letter) variant of a VWM task while undergoing magnetoencephalography (MEG). MEG data were evaluated in the time-frequency domain and significant oscillatory responses spanning the encoding and maintenance phases were reconstructed using a beamformer. To determine the impact of load on the neural dynamics, the resulting images were examined using paired-samples t-tests and virtual sensor analyses. Our results indicated stronger increases in frontal theta activity in the high- relative to low-load condition during early encoding. Stronger decreases in alpha/beta activity were also observed during encoding in bilateral posterior cortices during the high-load condition, and the strength of these load effects increased as encoding progressed. During maintenance, stronger decreases in alpha activity in the left inferior frontal gyrus, middle temporal gyrus, supramarginal gyrus, and inferior parietal cortices were detected during high- relative to low-load performance, with the strength of these load effects remaining largely static throughout maintenance. Finally, stronger increases in occipital alpha activity were observed during maintenance in the high-load condition, and the strength of these effects grew stronger with time during the first half of maintenance, before dissipating during the latter half of maintenance. Notably, this was the first study to utilize a whole-brain approach to statistically evaluate the temporal dynamics of load-related oscillatory differences during encoding and maintenance processes, and our results highlight the importance of spatial, temporal, and spectral specificity in this regard.

Original languageEnglish (US)
Pages (from-to)256-265
Number of pages10
JournalNeuroImage
Volume184
DOIs
StatePublished - Jan 1 2019
Externally publishedYes

Keywords

  • Encoding
  • Magnetoencephalography (MEG)
  • Maintenance
  • Oscillation
  • Theta

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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