Human Brain MappingNeurosciencePeer-reviewed journal article
Modulation of neural oscillations during working memory update, maintenance, and readout: an hdEEG study
Marianna SempriniiD, Gaia BonassiiD, Federico BarbaniD, Elisa PelosiniD, Riccardo IandoloiD, Michela ChiappaloneiD, Dante MantiniiD, Laura AvanzinoiD
Abstract
Working memory (WM) performance is very often measured using the n-back task, in which the participant is presented with a sequence of stimuli, and required to indicate whether the current stimulus matches the one presented n steps earlier. In this study, we used high-density electroencephalography (hdEEG) coupled to source localization to obtain information on spatial distribution and temporal dynamics of neural oscillations associated with WM update, maintenance and readout. Specifically, we a priori selected regions from a large fronto-parietal network, including also the insula and the cerebellum, and we analyzed modulation of neural oscillations by event-related desynchronization and synchronization (ERD/ERS). During update and readout, we found larger {theta} ERS and smaller {beta} ERS respect to maintenance in all the selected areas. {gamma}LOW and {gamma}HIGH bands oscillations decreased in the frontal and insular cortices of the left hemisphere. In the maintenance phase we observed focally decreased {theta} oscillations and increased {beta} oscillations (ERS) in most of the selected posterior areas and focally increased oscillations in {gamma}LOW and {gamma}HIGH bands in the frontal and insular cortices of the left hemisphere. Finally, during WM readout, we also found a focal modulation of the {gamma}LOW band in the left fusiform cortex and cerebellum, depending on the response trial type (true positive vs. true negative). Overall, our study demonstrated specific spectral signatures associated with updating of memory information, WM maintenance and readout, with relatively high spatial resolution.
- organism: human
- assay: electronic health records
- research focus: cell-cell communication
- research focus: spatial domain detection
- research focus: differential expression
- approach: statistical model
- Citations
- 22
- FWCI
- 1.48
- Field percentile
- top 20%
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