Literature DB >> 26484828

Dissociation of the functional relevance of different pre-stimulus oscillatory activity for memory formation.

Neda Salari1, Michael Rose2.   

Abstract

The state of a neural assembly preceding an incoming stimulus modulates the processing of that subsequently presented stimuli. For human memory formation, the role of oscillatory brain activity within different frequency ranges has been discussed but a more functional relation could not be established. In the present Experiment I, an increase of pre-stimulus theta- (3-7Hz) and beta- (13-17Hz) band oscillations during encoding for later remembered stimuli was observed. To establish a more direct functional relation, we adopted a novel brain-computer-interface (BCI) method to selectively detect oscillatory activity in real-time combined with an adaptive stimulus presentation at different levels of activity. Therefore, in the second experiment the BCI was used to present the visual stimuli with a high temporal resolution directly within defined brain states of beta- or theta-band activity. The quality of the subsequent processing of the stimuli was assessed at the behavioral level with a surprise recognition task. Results revealed a variation of memory performance in direct relation to the amount of pre-stimulus beta- but not theta-band oscillations, suggesting a functional relevance of beta-band oscillations for memory encoding. Thus, the BCI method enabled a more functional differentiation of the effective role of ongoing oscillatory activity.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain–computer interface; EEG; Memory; Oscillatory activity; Pre-stimulus activity

Mesh:

Year:  2015        PMID: 26484828     DOI: 10.1016/j.neuroimage.2015.10.037

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  7 in total

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Authors:  Sebastian Scholz; Signe Luisa Schneider; Michael Rose
Journal:  PLoS One       Date:  2017-02-13       Impact factor: 3.240

5.  EEG Error Prediction as a Solution for Combining the Advantages of Retrieval Practice and Errorless Learning.

Authors:  Ellyn A Riley; Dennis J McFarland
Journal:  Front Hum Neurosci       Date:  2017-03-27       Impact factor: 3.169

6.  Decoding declarative memory process for predicting memory retrieval based on source localization.

Authors:  Jenifer Kalafatovich; Minji Lee; Seong-Whan Lee
Journal:  PLoS One       Date:  2022-09-08       Impact factor: 3.752

7.  Beta oscillations following performance feedback predict subsequent recall of task-relevant information.

Authors:  Azadeh HajiHosseini; Cendri A Hutcherson; Clay B Holroyd
Journal:  Sci Rep       Date:  2020-09-15       Impact factor: 4.379

  7 in total

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